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Haiyan Song

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Haiyan Song & Peter Romilly & Xiaming Liu, 2000. "An empirical study of outbound tourism demand in the UK," Applied Economics, Taylor & Francis Journals, vol. 32(5), pages 611-624.

    Mentioned in:

    1. > Industrial Organization > Industry studies > Sports, recreation and tourism > Tourism

Working papers

  1. Haiyan Song & Egon Smeral & Gang Li & Jason L. Chen, 2008. "Tourism Forecasting: Accuracy of Alternative Econometric Models Revisited," WIFO Working Papers 326, WIFO.

    Cited by:

    1. K. K. Furmanov & Yu. V. Turovets, 2024. "Assessing the Impact of External Shocks on the Development of the Manufacturing Industry," Studies on Russian Economic Development, Springer, vol. 35(5), pages 697-706, October.

  2. George Athanasopoulos & Rob J Hyndman & Haiyan Song & Doris C Wu, 2008. "The tourism forecasting competition," Monash Econometrics and Business Statistics Working Papers 10/08, Monash University, Department of Econometrics and Business Statistics, revised Oct 2009.

    Cited by:

    1. Carl Bonham & Peter Fuleky & James Jones & Ashley Hirashima, 2015. "Nowcasting Tourism Industry Performance Using High Frequency Covariates," Working Papers 2015-13R, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Jul 2016.
    2. António Rua & Carlos Melo Gouveia & Nuno Lourenço, 2020. "Forecasting tourism with targeted predictors in a data-rich environment," Working Papers w202005, Banco de Portugal, Economics and Research Department.
    3. Hong, Tao & Pinson, Pierre & Fan, Shu, 2014. "Global Energy Forecasting Competition 2012," International Journal of Forecasting, Elsevier, vol. 30(2), pages 357-363.
    4. K. K. Furmanov & Yu. V. Turovets, 2024. "Assessing the Impact of External Shocks on the Development of the Manufacturing Industry," Studies on Russian Economic Development, Springer, vol. 35(5), pages 697-706, October.
    5. Bahman Rostami-Tabar & Mohammad M Ali & Tao Hong & Rob J Hyndman & Michael D Porter & Aris Syntetos, 2020. "Forecasting for Social Good," Monash Econometrics and Business Statistics Working Papers 37/20, Monash University, Department of Econometrics and Business Statistics.
    6. Kin G. Olivares & Cristian Challu & Grzegorz Marcjasz & Rafal Weron & Artur Dubrawski, 2021. "Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx," WORking papers in Management Science (WORMS) WORMS/21/07, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
    7. George Athanasopoulos & Ashton de Silva, 2010. "Multivariate exponential smoothing for forecasting tourist arrivals to Australia and New Zealand," Monash Econometrics and Business Statistics Working Papers 11/09, Monash University, Department of Econometrics and Business Statistics.
    8. Hyndman, Rob J., 2020. "A brief history of forecasting competitions," International Journal of Forecasting, Elsevier, vol. 36(1), pages 7-14.
    9. Xi Wu & Adam Blake, 2023. "Does the combination of models with different explanatory variables improve tourism demand forecasting performance?," Tourism Economics, , vol. 29(8), pages 2032-2056, December.
    10. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
    11. Hewamalage, Hansika & Bergmeir, Christoph & Bandara, Kasun, 2021. "Recurrent Neural Networks for Time Series Forecasting: Current status and future directions," International Journal of Forecasting, Elsevier, vol. 37(1), pages 388-427.
    12. Song, Haiyan & Wen, Long & Liu, Chang, 2019. "Density tourism demand forecasting revisited," Annals of Tourism Research, Elsevier, vol. 75(C), pages 379-392.
    13. Nikolaos Kourentzes & George Athanasopoulos, 2018. "Cross-temporal coherent forecasts for Australian tourism," Monash Econometrics and Business Statistics Working Papers 24/18, Monash University, Department of Econometrics and Business Statistics.
    14. Qiu, Richard T.R. & Wu, Doris Chenguang & Dropsy, Vincent & Petit, Sylvain & Pratt, Stephen & Ohe, Yasuo, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Asia and Pacific team," Annals of Tourism Research, Elsevier, vol. 88(C).
    15. Kourentzes, Nikolaos & Petropoulos, Fotios & Trapero, Juan R., 2014. "Improving forecasting by estimating time series structural components across multiple frequencies," International Journal of Forecasting, Elsevier, vol. 30(2), pages 291-302.
    16. Fotios Petropoulos & Evangelos Spiliotis, 2021. "The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting," Forecasting, MDPI, vol. 3(3), pages 1-20, June.
    17. Villegas, Marco A. & Pedregal, Diego J., 2019. "Automatic selection of unobserved components models for supply chain forecasting," International Journal of Forecasting, Elsevier, vol. 35(1), pages 157-169.
    18. Song, Haiyan & Li, Gang & Witt, Stephen F. & Athanasopoulos, George, 2011. "Forecasting tourist arrivals using time-varying parameter structural time series models," International Journal of Forecasting, Elsevier, vol. 27(3), pages 855-869, July.
    19. Nystrup, Peter & Lindström, Erik & Møller, Jan K. & Madsen, Henrik, 2021. "Dimensionality reduction in forecasting with temporal hierarchies," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1127-1146.
    20. George Athanasopoulos & Rob J Hyndman, 2011. "The value of feedback in forecasting competitions," Monash Econometrics and Business Statistics Working Papers 3/11, Monash University, Department of Econometrics and Business Statistics.
    21. Fiorucci, Jose A. & Pellegrini, Tiago R. & Louzada, Francisco & Petropoulos, Fotios & Koehler, Anne B., 2016. "Models for optimising the theta method and their relationship to state space models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1151-1161.
    22. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    23. Anyu Liu & Laura Vici & Vicente Ramos & Sauveur Giannoni & Adam Blake, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Post-Print hal-04653783, HAL.
    24. F. Antolini & L. Grassini, 2019. "Foreign arrivals nowcasting in Italy with Google Trends data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2385-2401, September.
    25. Andrea Saayman & Ilsé Botha, 2017. "Non-linear models for tourism demand forecasting," Tourism Economics, , vol. 23(3), pages 594-613, May.
    26. Akın, Melda, 2015. "A novel approach to model selection in tourism demand modeling," Tourism Management, Elsevier, vol. 48(C), pages 64-72.
    27. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.
    28. Fildes, Robert & Wei, Yingqi & Ismail, Suzilah, 2011. "Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures," International Journal of Forecasting, Elsevier, vol. 27(3), pages 902-922.
    29. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    30. Gneiting, Tilmann, 2011. "Making and Evaluating Point Forecasts," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 746-762.
    31. Eden Xiaoying Jiao & Jason Li Chen, 2019. "Tourism forecasting: A review of methodological developments over the last decade," Tourism Economics, , vol. 25(3), pages 469-492, May.
    32. Tanaka, Kiyoyasu, 2016. "Forecasting inbound tourists in Cambodia," IDE Discussion Papers 601, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    33. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting”," AQR Working Papers 201701, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2017.
    34. Jian-Wu Bi & Tian-Yu Han & Hui Li, 2022. "International tourism demand forecasting with machine learning models: The power of the number of lagged inputs," Tourism Economics, , vol. 28(3), pages 621-645, May.
    35. Kourentzes, Nikolaos & Saayman, Andrea & Jean-Pierre, Philippe & Provenzano, Davide & Sahli, Mondher & Seetaram, Neelu & Volo, Serena, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Africa team," Annals of Tourism Research, Elsevier, vol. 88(C).
    36. Lourenço, Nuno & Gouveia, Carlos Melo & Rua, António, 2021. "Forecasting tourism with targeted predictors in a data-rich environment," Economic Modelling, Elsevier, vol. 96(C), pages 445-454.
    37. Babai, M. Zied & Ali, Mohammad M. & Nikolopoulos, Konstantinos, 2012. "Impact of temporal aggregation on stock control performance of intermittent demand estimators: Empirical analysis," Omega, Elsevier, vol. 40(6), pages 713-721.
    38. Salim Jibrin Danbatta & Asaf Varol, 2022. "ANN–polynomial–Fourier series modeling and Monte Carlo forecasting of tourism data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 920-932, August.
    39. Jože Martin Rožanec & Blaž Fortuna & Dunja Mladenić, 2022. "Reframing Demand Forecasting: A Two-Fold Approach for Lumpy and Intermittent Demand," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    40. Bojer, Casper Solheim & Meldgaard, Jens Peder, 2021. "Kaggle forecasting competitions: An overlooked learning opportunity," International Journal of Forecasting, Elsevier, vol. 37(2), pages 587-603.
    41. Xi Wu & Adam Blake, 2023. "The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
    42. Fildes, Robert & Petropoulos, Fotios, 2015. "Is there a Golden Rule?," Journal of Business Research, Elsevier, vol. 68(8), pages 1742-1745.
    43. Yılmaz, Engin, 2015. "Forecasting tourist arrivals to Turkey," MPRA Paper 68616, University Library of Munich, Germany.
    44. Musara Chipumuro & Delson Chikobvu & Tendai Makoni, 2024. "Statistical Analysis of Overseas Tourist Arrivals to South Africa in Assessing the Impact of COVID-19 on Sustainable Development," Sustainability, MDPI, vol. 16(13), pages 1-17, July.
    45. Bahman Rostami‐Tabar & M. Zied Babai & Aris Syntetos & Yves Ducq, 2013. "Demand forecasting by temporal aggregation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(6), pages 479-498, September.
    46. Crone, Sven F. & Hibon, Michèle & Nikolopoulos, Konstantinos, 2011. "Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction," International Journal of Forecasting, Elsevier, vol. 27(3), pages 635-660, July.
    47. Tine Van Calster & Filip Van den Bossche & Bart Baesens & Wilfried Lemahieu, 2020. "Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective," Papers 2002.00949, arXiv.org.
    48. Marcos Álvarez-Díaz & Manuel González-Gómez & María Soledad Otero-Giráldez, 2018. "Forecasting International Tourism Demand Using a Non-Linear Autoregressive Neural Network and Genetic Programming," Forecasting, MDPI, vol. 1(1), pages 1-17, September.
    49. Bi, Jian-Wu & Li, Hui & Fan, Zhi-Ping, 2021. "Tourism demand forecasting with time series imaging: A deep learning model," Annals of Tourism Research, Elsevier, vol. 90(C).
    50. Svetunkov, Ivan & Kourentzes, Nikolaos, 2015. "Complex Exponential Smoothing," MPRA Paper 69394, University Library of Munich, Germany.
    51. Xu, Shilin & Liu, Yang & Jin, Chun, 2023. "Forecasting daily tourism demand with multiple factors," Annals of Tourism Research, Elsevier, vol. 103(C).
    52. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals with Google Trends and Mixed Frequency Data," EconStor Preprints 187420, ZBW - Leibniz Information Centre for Economics.
    53. Petropoulos, Fotios & Makridakis, Spyros & Assimakopoulos, Vassilios & Nikolopoulos, Konstantinos, 2014. "‘Horses for Courses’ in demand forecasting," European Journal of Operational Research, Elsevier, vol. 237(1), pages 152-163.
    54. Makridakis, Spyros & Hyndman, Rob J. & Petropoulos, Fotios, 2020. "Forecasting in social settings: The state of the art," International Journal of Forecasting, Elsevier, vol. 36(1), pages 15-28.
    55. Rostami-Tabar, Bahman & Babai, M. Zied & Ali, Mohammad & Boylan, John E., 2019. "The impact of temporal aggregation on supply chains with ARMA(1,1) demand processes," European Journal of Operational Research, Elsevier, vol. 273(3), pages 920-932.
    56. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals: Google Trends Meets Mixed Frequency Data," MPRA Paper 90205, University Library of Munich, Germany.
    57. Xie, Gang & Qian, Yatong & Wang, Shouyang, 2020. "A decomposition-ensemble approach for tourism forecasting," Annals of Tourism Research, Elsevier, vol. 81(C).
    58. Liu, Anyu & Vici, Laura & Ramos, Vicente & Giannoni, Sauveur & Blake, Adam, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Annals of Tourism Research, Elsevier, vol. 88(C).
    59. Lengyel, Attila, 2016. "Tourism, meditation, sustainability," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 10(1), pages 1-11, March.
    60. Prestwich, S.D. & Tarim, S.A. & Rossi, R., 2021. "Intermittency and obsolescence: A Croston method with linear decay," International Journal of Forecasting, Elsevier, vol. 37(2), pages 708-715.
    61. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    62. Liu, Ying & Wen, Long & Liu, Han & Song, Haiyan, 2024. "Predicting tourism recovery from COVID-19: A time-varying perspective," Economic Modelling, Elsevier, vol. 135(C).
    63. Gunter, Ulrich & Önder, Irem, 2015. "Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data," Tourism Management, Elsevier, vol. 46(C), pages 123-135.
    64. Liu, Yuan-Yuan & Tseng, Fang-Mei & Tseng, Yi-Heng, 2018. "Big Data analytics for forecasting tourism destination arrivals with the applied Vector Autoregression model," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 123-134.
    65. Andrea Saayman & Jacques de Klerk, 2019. "Forecasting tourist arrivals using multivariate singular spectrum analysis," Tourism Economics, , vol. 25(3), pages 330-354, May.
    66. Zeynalov, Ayaz, 2014. "Nowcasting Tourist Arrivals to Prague: Google Econometrics," MPRA Paper 60945, University Library of Munich, Germany.
    67. Makridakis, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilios, 2020. "The M4 Competition: 100,000 time series and 61 forecasting methods," International Journal of Forecasting, Elsevier, vol. 36(1), pages 54-74.
    68. Zeynalov, Ayaz, 2017. "Forecasting Tourist Arrivals in Prague: Google Econometrics," MPRA Paper 83268, University Library of Munich, Germany.
    69. Davide Provenzano & Serena Volo, 2022. "Tourism recovery amid COVID-19: The case of Lombardy, Italy," Tourism Economics, , vol. 28(1), pages 110-130, February.
    70. Teelucksingh, Sonja S. & Watson, Patrick K., 2013. "Linking tourism flows and biological biodiversity in Small Island Developing States (SIDS): evidence from panel data," Environment and Development Economics, Cambridge University Press, vol. 18(4), pages 392-404, August.
    71. Long Wen & Chang Liu & Haiyan Song, 2019. "Forecasting tourism demand using search query data: A hybrid modelling approach," Tourism Economics, , vol. 25(3), pages 309-329, May.
    72. Spiliotis, Evangelos & Kouloumos, Andreas & Assimakopoulos, Vassilios & Makridakis, Spyros, 2020. "Are forecasting competitions data representative of the reality?," International Journal of Forecasting, Elsevier, vol. 36(1), pages 37-53.
    73. Lila, Maurício Franca & Meira, Erick & Cyrino Oliveira, Fernando Luiz, 2022. "Forecasting unemployment in Brazil: A robust reconciliation approach using hierarchical data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    74. Oscar Claveria & Enric Monte & Salvador Torra, 2016. "Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(3), pages 341-357, August.
    75. Spyros Makridakis & Chris Fry & Fotios Petropoulos & Evangelos Spiliotis, 2022. "The Future of Forecasting Competitions: Design Attributes and Principles," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 96-113, April.
    76. Ji Wu & Xian Cheng & Stephen Shaoyi Liao, 2020. "Tourism forecast combination using the stochastic frontier analysis technique," Tourism Economics, , vol. 26(7), pages 1086-1107, November.
    77. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    78. Athanasopoulos, George & Deng, Minfeng & Li, Gang & Song, Haiyan, 2014. "Modelling substitution between domestic and outbound tourism in Australia: A system-of-equations approach," Tourism Management, Elsevier, vol. 45(C), pages 159-170.
    79. Ulrich Gunter & Irem Önder & Stefan Gindl, 2019. "Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria," Tourism Economics, , vol. 25(3), pages 375-401, May.
    80. Beatriz Plaza & Pilar González-Casimiro & Paz Moral-Zuazo & Courtney Waldron, 2015. "Culture-led city brands as economic engines: theory and empirics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(1), pages 179-196, January.
    81. Shaolong Suna & Dan Bi & Ju-e Guo & Shouyang Wang, 2020. "Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach," Papers 2002.08021, arXiv.org, revised Mar 2020.
    82. Ulrich Gunter & Irem Önder & Egon Smeral, 2020. "Are Combined Tourism Forecasts Better at Minimizing Forecasting Errors?," Forecasting, MDPI, vol. 2(3), pages 1-19, June.
    83. Keerti Manisha & Inderpal Singh, 2024. "Forecasting of Indian and foreign tourist arrivals to Himachal Pradesh using Decomposition, Box–Jenkins, and Holt–Winters exponential smoothing methods," Asia-Pacific Journal of Regional Science, Springer, vol. 8(3), pages 879-909, September.
    84. Li, Gang & Wu, Doris Chenguang & Zhou, Menglin & Liu, Anyu, 2019. "The combination of interval forecasts in tourism," Annals of Tourism Research, Elsevier, vol. 75(C), pages 363-378.
    85. Richard T.R. Qiu & Doris Chenguang Wu & Vincent Dropsy & Sylvain Petit & Stephen Pratt & Yasuo Ohe, 2021. "TOURIST ARRIVAL FORECAST AMID COVID-19: A perspective from the Asia and Pacific team," Post-Print hal-03138092, HAL.
    86. Jian-Wu Bi & Tian-Yu Han & Yanbo Yao, 2024. "Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence: A combined deep learning model," Tourism Economics, , vol. 30(2), pages 361-388, March.
    87. Reinhard Ellwanger, Stephen Snudden, Lenin Arango-Castillo, 2023. "Seize the Last Day: Period-End-Point Sampling for Forecasts of Temporally Aggregated Data," LCERPA Working Papers bm0142, Laurier Centre for Economic Research and Policy Analysis.

Articles

  1. Wan, Shui Ki & Song, Haiyan & Ko, David, 2016. "Density forecasting for tourism demand," Annals of Tourism Research, Elsevier, vol. 60(C), pages 27-30.

    Cited by:

    1. Song, Haiyan & Wen, Long & Liu, Chang, 2019. "Density tourism demand forecasting revisited," Annals of Tourism Research, Elsevier, vol. 75(C), pages 379-392.
    2. Assaf, A. George & Tsionas, Mike G., 2019. "Forecasting occupancy rate with Bayesian compression methods," Annals of Tourism Research, Elsevier, vol. 75(C), pages 439-449.
    3. Li, Gang & Wu, Doris Chenguang & Zhou, Menglin & Liu, Anyu, 2019. "The combination of interval forecasts in tourism," Annals of Tourism Research, Elsevier, vol. 75(C), pages 363-378.

  2. Lin, Vera Shanshan & Mao, Rui & Song, Haiyan, 2015. "Tourism expenditure patterns in China," Annals of Tourism Research, Elsevier, vol. 54(C), pages 100-117.

    Cited by:

    1. Zhu, Jinsheng (Jason) & Airey, David & Siriphon, Aranya, 2021. "Chinese outbound tourism: An alternative modernity perspective," Annals of Tourism Research, Elsevier, vol. 87(C).
    2. Xin Gu & Zhang-Yue Zhou & Yan-Rui Wu, 2019. "Understanding China’S Urban Consumption Patterns: New Estimates And Implications," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 961-981, September.
    3. Brida, Juan Gabriel & Tokarchuk, Oksana, 2017. "Tourists' spending and adherence to shopping plans: The case of the christmas market in Merano, Italy," Tourism Management, Elsevier, vol. 61(C), pages 55-62.
    4. Jin, Yu & Xi, Haonan & Wang, Xuhui & Ren, Xin & Yuan, Libin, 2022. "Evaluation of the Integration Policy in China: Does the Integration of Culture and Tourism Promote Tourism Development?," Annals of Tourism Research, Elsevier, vol. 97(C).
    5. Olya, Hossein GT & Mehran, Javaneh, 2017. "Modelling tourism expenditure using complexity theory," Journal of Business Research, Elsevier, vol. 75(C), pages 147-158.
    6. Faruk Urak & Nihat Küçük & Abdulbaki Bilgiç & Steven T Yen, 2023. "Modeling censored tourism expenditures in Turkey with non-normal and heteroscedastic errors: An application of the inverse hyperbolic sine double-hurdle model," Tourism Economics, , vol. 29(3), pages 718-741, May.
    7. Luojia Wang & Kerui Du & Bin Fang & Rob Law, 2023. "Escape from air pollution: How does air quality in the place of residence shape tourism consumption?," Tourism Economics, , vol. 29(4), pages 1074-1099, June.
    8. Georgia Papadopoulou & Evangelos Sambracos & Sofia Xesfingi, 2017. "Influential Factors of Passengers' Expenditures During A Cruise Trip: The Case of the Greek Islands," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 15(1), pages 15-31.

  3. Lin, Vera Shanshan & Goodwin, Paul & Song, Haiyan, 2014. "Accuracy and bias of experts’ adjusted forecasts," Annals of Tourism Research, Elsevier, vol. 48(C), pages 156-174.

    Cited by:

    1. Woodside, Arch G., 2020. "Interventions as experiments: Connecting the dots in forecasting and overcoming pandemics, global warming, corruption, civil rights violations, misogyny, income inequality, and guns," Journal of Business Research, Elsevier, vol. 117(C), pages 212-218.
    2. Anyu Liu & Laura Vici & Vicente Ramos & Sauveur Giannoni & Adam Blake, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Post-Print hal-04653783, HAL.
    3. Toppinen, Anne & Röhr, Axel & Pätäri, Satu & Lähtinen, Katja & Toivonen, Ritva, 2018. "The future of wooden multistory construction in the forest bioeconomy – A Delphi study from Finland and Sweden," Journal of Forest Economics, Elsevier, vol. 31(C), pages 3-10.
    4. Larissa Koupriouchina & Jean-Pierre van der Rest & Zvi Schwartz, 2023. "Judgmental Adjustments of Algorithmic Hotel Occupancy Forecasts: Does User Override Frequency Impact Accuracy at Different Time Horizons?," Tourism Economics, , vol. 29(8), pages 2143-2164, December.
    5. Vera Shanshan Lin, 2019. "Judgmental adjustments in tourism forecasting practice: How good are they?," Tourism Economics, , vol. 25(3), pages 402-424, May.
    6. Liu, Anyu & Vici, Laura & Ramos, Vicente & Giannoni, Sauveur & Blake, Adam, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Annals of Tourism Research, Elsevier, vol. 88(C).
    7. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    8. Zhang, Hanyuan & Song, Haiyan & Wen, Long & Liu, Chang, 2021. "Forecasting tourism recovery amid COVID-19," Annals of Tourism Research, Elsevier, vol. 87(C).
    9. Winkler, Jens & Moser, Roger, 2016. "Biases in future-oriented Delphi studies: A cognitive perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 63-76.
    10. George Athanasopoulos & Rob J Hyndman & Mitchell O'Hara-Wild, 2021. "The Road to Recovery from COVID-19 for Australian Tourism," Monash Econometrics and Business Statistics Working Papers 1/21, Monash University, Department of Econometrics and Business Statistics.

  4. Song, Haiyan & Gao, Bastian Z. & Lin, Vera S., 2013. "Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system," International Journal of Forecasting, Elsevier, vol. 29(2), pages 295-310.

    Cited by:

    1. Spithourakis, Georgios P. & Petropoulos, Fotios & Nikolopoulos, Konstantinos & Assimakopoulos, Vassilios, 2015. "Amplifying the learning effects via a Forecasting and Foresight Support System," International Journal of Forecasting, Elsevier, vol. 31(1), pages 20-32.
    2. Rivera, Roberto, 2016. "A dynamic linear model to forecast hotel registrations in Puerto Rico using Google Trends data," Tourism Management, Elsevier, vol. 57(C), pages 12-20.
    3. Andrea Saayman & Ilsé Botha, 2017. "Non-linear models for tourism demand forecasting," Tourism Economics, , vol. 23(3), pages 594-613, May.
    4. Eleonora Di Matteo & Paolo Roma & Santo Zafonte & Umberto Panniello & Lorenzo Abbate, 2021. "Development of a Decision Support System Framework for Cultural Heritage Management," Sustainability, MDPI, vol. 13(13), pages 1-27, June.
    5. Yuruixian Zhang & Wei Chong Choo & Yuhanis Abdul Aziz & Choy Leong Yee & Jen Sim Ho, 2022. "Go Wild for a While? A Bibliometric Analysis of Two Themes in Tourism Demand Forecasting from 1980 to 2021: Current Status and Development," Data, MDPI, vol. 7(8), pages 1-38, July.
    6. Xi Wu & Adam Blake, 2023. "The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
    7. Larissa Koupriouchina & Jean-Pierre van der Rest & Zvi Schwartz, 2023. "Judgmental Adjustments of Algorithmic Hotel Occupancy Forecasts: Does User Override Frequency Impact Accuracy at Different Time Horizons?," Tourism Economics, , vol. 29(8), pages 2143-2164, December.
    8. Hanyuan Zhang & Jiangping Lu, 2022. "Forecasting hotel room demand amid COVID-19," Tourism Economics, , vol. 28(1), pages 200-221, February.
    9. Gaojun Zhang & Jinfeng Wu & Bing Pan & Junyi Li & Minjie Ma & Muzi Zhang & Jian Wang, 2017. "Improving daily occupancy forecasting accuracy for hotels based on EEMD-ARIMA model," Tourism Economics, , vol. 23(7), pages 1496-1514, November.
    10. Lin, Vera Shanshan & Goodwin, Paul & Song, Haiyan, 2014. "Accuracy and bias of experts’ adjusted forecasts," Annals of Tourism Research, Elsevier, vol. 48(C), pages 156-174.
    11. Vera Shanshan Lin, 2019. "Judgmental adjustments in tourism forecasting practice: How good are they?," Tourism Economics, , vol. 25(3), pages 402-424, May.
    12. Marisol Valencia Cárdenas & Juan Gabriel Vanegas López & Juan Carlos Correa Morales & Jorge Aníbal Restrepo Morales, 2017. "Comparing forecasts for tourism dynamics in Medellín, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 86, pages 199-230, Enero - J.
    13. Kauko, Karlo & Palmroos, Peter, 2014. "The Delphi method in forecasting financial markets— An experimental study," International Journal of Forecasting, Elsevier, vol. 30(2), pages 313-327.
    14. Katerina Volchek & Anyu Liu & Haiyan Song & Dimitrios Buhalis, 2019. "Forecasting tourist arrivals at attractions: Search engine empowered methodologies," Tourism Economics, , vol. 25(3), pages 425-447, May.
    15. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
    16. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    17. Valencia Cárdenas, Marisol & Vanegas López, Juan Gabriel & Correa Morales, Juan Carlos & Restrepo Morales, Jorge Aníbal, 2016. "Comparación de pronósticos para la dinámica del turismo en Medellín, Colombia," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 86, pages 199-230, December.
    18. Zhang, Hanyuan & Song, Haiyan & Wen, Long & Liu, Chang, 2021. "Forecasting tourism recovery amid COVID-19," Annals of Tourism Research, Elsevier, vol. 87(C).
    19. Guizzardi, Andrea & Stacchini, Annalisa, 2015. "Real-time forecasting regional tourism with business sentiment surveys," Tourism Management, Elsevier, vol. 47(C), pages 213-223.
    20. Doris Chenguang Wu & Jingyan Liu & Haiyan Song & Anyu Liu & Hui Fu, 2019. "Developing a Web-based regional tourism satellite account (TSA) information system," Tourism Economics, , vol. 25(1), pages 67-84, February.
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    22. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    23. Hassani, Hossein & Webster, Allan & Silva, Emmanuel Sirimal & Heravi, Saeed, 2015. "Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis," Tourism Management, Elsevier, vol. 46(C), pages 322-335.
    24. Shaolong Suna & Dan Bi & Ju-e Guo & Shouyang Wang, 2020. "Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach," Papers 2002.08021, arXiv.org, revised Mar 2020.
    25. Richard T.R. Qiu & Doris Chenguang Wu & Vincent Dropsy & Sylvain Petit & Stephen Pratt & Yasuo Ohe, 2021. "TOURIST ARRIVAL FORECAST AMID COVID-19: A perspective from the Asia and Pacific team," Post-Print hal-03138092, HAL.
    26. George Athanasopoulos & Rob J Hyndman & Mitchell O'Hara-Wild, 2021. "The Road to Recovery from COVID-19 for Australian Tourism," Monash Econometrics and Business Statistics Working Papers 1/21, Monash University, Department of Econometrics and Business Statistics.

  5. Tompkins, B.T. & Song, H. & Bittle, J.A. & Jacobs, T.J., 2012. "Efficiency considerations for the use of blended biofuel in diesel engines," Applied Energy, Elsevier, vol. 98(C), pages 209-218.

    Cited by:

    1. Tan, Pi-qiang & Ruan, Shuai-shuai & Hu, Zhi-yuan & Lou, Di-ming & Li, Hu, 2014. "Particle number emissions from a light-duty diesel engine with biodiesel fuels under transient-state operating conditions," Applied Energy, Elsevier, vol. 113(C), pages 22-31.
    2. Zhang, Qiang & Ogren, Ryan M. & Kong, Song-Charng, 2016. "A comparative study of biodiesel engine performance optimization using enhanced hybrid PSO–GA and basic GA," Applied Energy, Elsevier, vol. 165(C), pages 676-684.
    3. Marietta Markiewicz & Łukasz Muślewski, 2019. "The Impact of Powering an Engine with Fuels from Renewable Energy Sources including its Software Modification on a Drive Unit Performance Parameters," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    4. Chattopadhyay, Soham & Sen, Ramkrishna, 2013. "Fuel properties, engine performance and environmental benefits of biodiesel produced by a green process," Applied Energy, Elsevier, vol. 105(C), pages 319-326.
    5. Mat Yasin, M.H. & Yusaf, Talal & Mamat, R. & Fitri Yusop, A., 2014. "Characterization of a diesel engine operating with a small proportion of methanol as a fuel additive in biodiesel blend," Applied Energy, Elsevier, vol. 114(C), pages 865-873.
    6. Łukasz Muślewski & Marietta Markiewicz & Michał Pająk & Tomasz Kałaczyński & Davor Kolar, 2021. "Analysis of the Use of Fatty Acid Methyl Esters as an Additive to Diesel Fuel for Internal Combustion Engines," Energies, MDPI, vol. 14(21), pages 1-17, October.
    7. Zhao, Junfeng & Wang, Junmin, 2013. "Control-oriented multi-phase combustion model for biodiesel fueled engines," Applied Energy, Elsevier, vol. 108(C), pages 92-99.
    8. Xu, Xiangguo & Li, Yishu & Yang, ShenYin & Chen, Guangming, 2017. "A review of fishing vessel refrigeration systems driven by exhaust heat from engines," Applied Energy, Elsevier, vol. 203(C), pages 657-676.
    9. Asokan, M.A. & Prabu, S. Senthur & Khalife, Esmail & Sanjey, K.A. & Prathiba, S., 2024. "Vibration analysis using wavelet transformation technique and performance characteristics of a diesel engine fueled with tamarind biodiesel-diesel blends and diverse additives," Energy, Elsevier, vol. 294(C).
    10. Amankou, Kunomboua Anicet Cyrille & Guchhait, Rekha & Sarkar, Biswajit & Dem, Himani, 2024. "Product-specified dual-channel retail management with significant consumer service," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    11. Can, Özer & Öztürk, Erkan & Yücesu, H. Serdar, 2017. "Combustion and exhaust emissions of canola biodiesel blends in a single cylinder DI diesel engine," Renewable Energy, Elsevier, vol. 109(C), pages 73-82.

  6. Song, Haiyan & Hyndman, Rob J., 2011. "Tourism forecasting: An introduction," International Journal of Forecasting, Elsevier, vol. 27(3), pages 817-821, July.

    Cited by:

    1. Bi, Jian-Wu & Liu, Yang & Li, Hui, 2020. "Daily tourism volume forecasting for tourist attractions," Annals of Tourism Research, Elsevier, vol. 83(C).
    2. Andrea Saayman & Ilsé Botha, 2017. "Non-linear models for tourism demand forecasting," Tourism Economics, , vol. 23(3), pages 594-613, May.
    3. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.
    4. Yuan, Fong-Ching, 2020. "Intelligent forecasting of inbound tourist arrivals by social networking analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    5. Yılmaz, Engin, 2015. "Forecasting tourist arrivals to Turkey," MPRA Paper 68616, University Library of Munich, Germany.
    6. Han Liu & Ying Liu & Yonglian Wang & Changchun Pan, 2019. "Hot topics and emerging trends in tourism forecasting research: A scientometric review," Tourism Economics, , vol. 25(3), pages 448-468, May.

  7. Song, Haiyan & Li, Gang & Witt, Stephen F. & Athanasopoulos, George, 2011. "Forecasting tourist arrivals using time-varying parameter structural time series models," International Journal of Forecasting, Elsevier, vol. 27(3), pages 855-869, July.

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    1. António Rua & Carlos Melo Gouveia & Nuno Lourenço, 2020. "Forecasting tourism with targeted predictors in a data-rich environment," Working Papers w202005, Banco de Portugal, Economics and Research Department.
    2. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
    3. Ling Tang & Chengyuan Zhang & Tingfei Li & Ling Li, 2021. "A novel BEMD-based method for forecasting tourist volume with search engine data," Tourism Economics, , vol. 27(5), pages 1015-1038, August.
    4. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
    5. Hatice Öncel Çekim & Ahmet Koyuncu, 2022. "The Impact of Google Trends on the Tourist Arrivals: A Case of Antalya Tourism," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(1), pages 1-14, June.
    6. Jiao, Xiaoying & Chen, Jason Li & Li, Gang, 2021. "Forecasting tourism demand: Developing a general nesting spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 90(C).
    7. Woraphon Yamaka & Xuefeng Zhang & Paravee Maneejuk, 2021. "Analyzing the Influence of Transportations on Chinese Inbound Tourism: Markov Switching Penalized Regression Approaches," Mathematics, MDPI, vol. 9(5), pages 1-23, March.
    8. Correa, Alexander, 2021. "Prediciendo la llegada de turistas a Colombia a partir de los criterios de Google Trends," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue No. 95, pages 105-134, July.
    9. Han Liu & Yongjing Wang & Haiyan Song & Ying Liu, 2023. "Measuring tourism demand nowcasting performance using a monotonicity test," Tourism Economics, , vol. 29(5), pages 1302-1327, August.
    10. Eugenio-Martin, Juan Luis & Perez-Granja, Ubay, 2022. "Quantifying the net impact and redistribution effects of airlines’ exits on passenger traffic," Journal of Air Transport Management, Elsevier, vol. 101(C).
    11. Haodong Sun & Yang Yang & Yanyan Chen & Xiaoming Liu & Jiachen Wang, 2023. "Tourism demand forecasting of multi-attractions with spatiotemporal grid: a convolutional block attention module model," Information Technology & Tourism, Springer, vol. 25(2), pages 205-233, June.
    12. Anyu Liu & Laura Vici & Vicente Ramos & Sauveur Giannoni & Adam Blake, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Post-Print hal-04653783, HAL.
    13. Andrea Saayman & Ilsé Botha, 2017. "Non-linear models for tourism demand forecasting," Tourism Economics, , vol. 23(3), pages 594-613, May.
    14. Thananya Janhuaton & Vatanavongs Ratanavaraha & Sajjakaj Jomnonkwao, 2024. "Forecasting Thailand’s Transportation CO 2 Emissions: A Comparison among Artificial Intelligent Models," Forecasting, MDPI, vol. 6(2), pages 1-23, June.
    15. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.
    16. Jiao, Xiaoying & Li, Gang & Chen, Jason Li, 2020. "Forecasting international tourism demand: a local spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 83(C).
    17. Eden Xiaoying Jiao & Jason Li Chen, 2019. "Tourism forecasting: A review of methodological developments over the last decade," Tourism Economics, , vol. 25(3), pages 469-492, May.
    18. Lourenço, Nuno & Gouveia, Carlos Melo & Rua, António, 2021. "Forecasting tourism with targeted predictors in a data-rich environment," Economic Modelling, Elsevier, vol. 96(C), pages 445-454.
    19. Lorde, Troy & Li, Gang & Airey, David, 2014. "Modeling Caribbean Tourism Demand: An Augmented Gravity Approach," MPRA Paper 95476, University Library of Munich, Germany.
    20. Chai, Jian & Xing, Li-Min & Zhou, Xiao-Yang & Zhang, Zhe George & Li, Jie-Xun, 2018. "Forecasting the WTI crude oil price by a hybrid-refined method," Energy Economics, Elsevier, vol. 71(C), pages 114-127.
    21. Chao Liang & Yanran Hong & Luu Duc Toan Huynh & Feng Ma, 2023. "Asymmetric dynamic risk transmission between financial stress and monetary policy uncertainty: thinking in the post-covid-19 world," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1543-1567, May.
    22. Chuan Zhang & Ao‐Yun Hu & Yu‐Xin Tian, 2023. "Daily tourism forecasting through a novel method based on principal component analysis, grey wolf optimizer, and extreme learning machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2121-2138, December.
    23. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals with Google Trends and Mixed Frequency Data," EconStor Preprints 187420, ZBW - Leibniz Information Centre for Economics.
    24. Mariano Gallo & Rosa Anna La Rocca, 2022. "The Impact of High-Speed Rail Systems on Tourist Attractiveness in Italy: Regression Models and Numerical Results," Sustainability, MDPI, vol. 14(21), pages 1-33, October.
    25. Gaojun Zhang & Jinfeng Wu & Bing Pan & Junyi Li & Minjie Ma & Muzi Zhang & Jian Wang, 2017. "Improving daily occupancy forecasting accuracy for hotels based on EEMD-ARIMA model," Tourism Economics, , vol. 23(7), pages 1496-1514, November.
    26. Li, Cheng & Zheng, Weimin & Ge, Peng, 2022. "Tourism demand forecasting with spatiotemporal features," Annals of Tourism Research, Elsevier, vol. 94(C).
    27. Maria Luisa Cortón & Maling Ebrahimpour, 2014. "Research Note: Forecasting Film-Induced Tourism — The Dolphin Tale Case," Tourism Economics, , vol. 20(6), pages 1349-1356, December.
    28. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals: Google Trends Meets Mixed Frequency Data," MPRA Paper 90205, University Library of Munich, Germany.
    29. Xie, Gang & Qian, Yatong & Wang, Shouyang, 2020. "A decomposition-ensemble approach for tourism forecasting," Annals of Tourism Research, Elsevier, vol. 81(C).
    30. Liu, Anyu & Vici, Laura & Ramos, Vicente & Giannoni, Sauveur & Blake, Adam, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Annals of Tourism Research, Elsevier, vol. 88(C).
    31. Martin Falk & Xiang Lin, 2018. "Income elasticity of overnight stays over seven decades," Tourism Economics, , vol. 24(8), pages 1015-1028, December.
    32. Lengyel, Attila, 2016. "Tourism, meditation, sustainability," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 10(1), pages 1-11, March.
    33. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    34. Eujin-Julia Kim & Yongjun Jo & Youngeun Kang, 2018. "Are Touristic Attractions Well-Connected in an Olympic Host City? A Network Analysis Measurement of Visitor Movement Patterns in Gangneung, South Korea," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    35. Andrea Saayman & Jacques de Klerk, 2019. "Forecasting tourist arrivals using multivariate singular spectrum analysis," Tourism Economics, , vol. 25(3), pages 330-354, May.
    36. Zeynalov, Ayaz, 2014. "Nowcasting Tourist Arrivals to Prague: Google Econometrics," MPRA Paper 60945, University Library of Munich, Germany.
    37. Chien-Chiang Lee & Godwin O Olasehinde-Williams & Ifedolapo Olabisi Olanipekun, 2022. "GDP volatility implication of tourism volatility in South Africa: A time-varying approach," Tourism Economics, , vol. 28(2), pages 435-450, March.
    38. Zeynalov, Ayaz, 2017. "Forecasting Tourist Arrivals in Prague: Google Econometrics," MPRA Paper 83268, University Library of Munich, Germany.
    39. Nicholas Apergis & Andrea Mervar & James E. Payne, 2017. "Forecasting disaggregated tourist arrivals in Croatia," Tourism Economics, , vol. 23(1), pages 78-98, February.
    40. Lu, Quanying & Li, Yuze & Chai, Jian & Wang, Shouyang, 2020. "Crude oil price analysis and forecasting: A perspective of “new triangle”," Energy Economics, Elsevier, vol. 87(C).
    41. Eujin-Julia Kim & Youngeun Kang, 2020. "Spillover Effects of Mega-Events: The Influences of Residence, Transportation Mode, and Staying Period on Attraction Networks during Olympic Games," Sustainability, MDPI, vol. 12(3), pages 1-13, February.
    42. Guizzardi, Andrea & Stacchini, Annalisa, 2015. "Real-time forecasting regional tourism with business sentiment surveys," Tourism Management, Elsevier, vol. 47(C), pages 213-223.
    43. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    44. Mustafa Özer & Inci Oya Coşkun & Mustafa Kırca, 2015. "Time Varying Causality Between Exchange Rates And Tourism Demand For Turkey," Tourism Research Institute, Journal of Tourism Research, vol. 10(1), pages 125-142, June.
    45. Hassani, Hossein & Webster, Allan & Silva, Emmanuel Sirimal & Heravi, Saeed, 2015. "Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis," Tourism Management, Elsevier, vol. 46(C), pages 322-335.
    46. Shaolong Suna & Dan Bi & Ju-e Guo & Shouyang Wang, 2020. "Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach," Papers 2002.08021, arXiv.org, revised Mar 2020.
    47. Keerti Manisha & Inderpal Singh, 2024. "Forecasting of Indian and foreign tourist arrivals to Himachal Pradesh using Decomposition, Box–Jenkins, and Holt–Winters exponential smoothing methods," Asia-Pacific Journal of Regional Science, Springer, vol. 8(3), pages 879-909, September.
    48. Mingming Hu & Haiyan Song, 2020. "Data source combination for tourism demand forecasting," Tourism Economics, , vol. 26(7), pages 1248-1265, November.
    49. Gang Xie & Xin Li & Yatong Qian & Shouyang Wang, 2021. "Forecasting tourism demand with KPCA-based web search indexes," Tourism Economics, , vol. 27(4), pages 721-743, June.

  8. Athanasopoulos, George & Hyndman, Rob J. & Song, Haiyan & Wu, Doris C., 2011. "The tourism forecasting competition," International Journal of Forecasting, Elsevier, vol. 27(3), pages 822-844, July.
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    1. Ying Hao & Jing Lu, 2018. "The Impact of Government Intervention on Corporate Investment Allocations and Efficiency: Evidence from China," Financial Management, Financial Management Association International, vol. 47(2), pages 383-419, June.
    2. Liu, Yishuang & Liu, Wei & Zhang, Xiaoling & Dong, Hanmin & Zhao, Zhihui & Zhang, Zhan, 2024. "Domestic environmental impacts of OFDI: City-level evidence from China," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 391-409.
    3. Mr. Il Houng Lee & Mr. Murtaza H Syed & Mr. Liu Xueyan, 2013. "China’s Path to Consumer-Based Growth: Reorienting Investment and Enhancing Efficiency," IMF Working Papers 2013/083, International Monetary Fund.
    4. Sai Ding & Alessandra Guariglia & John Knight, 2010. "Does China overinvest? Evidence from a panel of Chinese firms," Working Papers 2010_32, Business School - Economics, University of Glasgow.
    5. Xu, Chengzhen & Zhu, Qingyuan & Li, Xingchen & Wu, Liangpeng & Deng, Ping, 2024. "Determinants of global carbon emission and aggregate carbon intensity: A multi-region input−output approach," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 418-435.
    6. Li, Xijing & Huang, Bo & Li, Rongrong & Zhang, Yipei, 2016. "Exploring the impact of high speed railways on the spatial redistribution of economic activities - Yangtze River Delta urban agglomeration as a case study," Journal of Transport Geography, Elsevier, vol. 57(C), pages 194-206.
    7. Zhang, Xi & Geng, Yong & Shao, Shuai & Dong, Huijuan & Wu, Rui & Yao, Tianli & Song, Jiekun, 2020. "How to achieve China’s CO2 emission reduction targets by provincial efforts? – An analysis based on generalized Divisia index and dynamic scenario simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    8. Qu, Guangjun & Sylwester, Kevin & Wang, Feng, 2018. "Anticorruption and growth: Evidence from China," European Journal of Political Economy, Elsevier, vol. 55(C), pages 373-390.
    9. Matthias Duschl & Shi-Shu Peng, 2013. "Chinese firm dynamics and the role of ownership type A conditional estimation approach of the Asymmetric Exponential Power (AEP) density," Papers on Economics and Evolution 2014-01, Philipps University Marburg, Department of Geography.
    10. Chang, Liang & Tan, Na & Zhang, Xinyue & Yuan, Yiyun, 2023. "Does peer firms’ tone affect corporate investment? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 90(C).
    11. Alessandra Guariglia & Xiaoxuan Liu & Lina Song, 2009. "Internal Finance and Growth: Microeconometric Evidence on Chinese Firms," Discussion Papers 09/11, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    12. Zhang, Han & Guo, Bin & Liu, Lanbiao, 2022. "The time-varying bond risk premia in China," Journal of Empirical Finance, Elsevier, vol. 65(C), pages 51-76.
    13. Fang, Debin & Hao, Peng & Yu, Qian & Wang, Jiancheng, 2020. "The impacts of electricity consumption in China's key economic regions," Applied Energy, Elsevier, vol. 267(C).
    14. Chen, Shenglan & Lin, Bingxuan & Lu, Rui & Ma, Hui, 2016. "Pay for accounting performance and R&D investment: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 142-153.
    15. Qin, Duo & Cagas, Marie Anne & Ducanes, Geoffrey & He, Xinhua & Liu, Rui & Liu, Shiguo & Magtibay-Ramos, Nedelyn & Quising, Pilipinas, 2007. "A macroeconometric model of the Chinese economy," Economic Modelling, Elsevier, vol. 24(5), pages 814-822, September.
    16. Zhang, Han, 2021. "An inflation-based ICAPM in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    17. Wan, Jianjun & Lee, Chien-Chiang, 2023. "Corporate investment and the dilemma of the monetary policy: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 106-121.
    18. Zhao, Xingrong & Zhang, Xi & Shao, Shuai, 2016. "Decoupling CO2 emissions and industrial growth in China over 1993–2013: The role of investment," Energy Economics, Elsevier, vol. 60(C), pages 275-292.
    19. Lee, Hyun-Hoon & Park, Donghyun & Shin, Kwanho, 2016. "Effects of the People’s Republic of China’s Structural Change on the Exports of East and Southeast Asian Economies," ADB Economics Working Paper Series 492, Asian Development Bank.
    20. Kang, Fei & Hauge, Janice A. & Lu, Ting-Jie, 2012. "Competition and mobile network investment in China’s telecommunications industry," Telecommunications Policy, Elsevier, vol. 36(10), pages 901-913.
    21. Chen, Anping & Groenewold, Nicolaas, 2013. "Does investment allocation affect the inter-regional output gap in China? A time-series investigation," China Economic Review, Elsevier, vol. 26(C), pages 197-206.
    22. Wen, Hong-xing & Chen, Zhe & Yang, Qian & Liu, Jin-yi & Nie, Pu-yan, 2022. "Driving forces and mitigating strategies of CO2 emissions in China: A decomposition analysis based on 38 industrial sub-sectors," Energy, Elsevier, vol. 245(C).
    23. Xuelian Piao & Jon Jungbien Moon, 2019. "When does knowledge similarity help foreign firms improve performance?," Asian Business & Management, Palgrave Macmillan, vol. 18(4), pages 301-323, September.
    24. Tang, Ya & Xu, Jianguo & Zhang, Xun, 2017. "China's investment and rate of return on capital revisited," Journal of Asian Economics, Elsevier, vol. 49(C), pages 12-25.
    25. Gunther Schnabl, 2019. "China’s overinvestment and international trade conflict," CESifo Working Paper Series 7642, CESifo.
    26. Qiang Liu & Ying Hao & Yong Du & Yuning Xing, 2020. "GDP competition and corporate investment: Evidence from China," Pacific Economic Review, Wiley Blackwell, vol. 25(3), pages 402-426, August.
    27. Cui, Wenyue & Tang, Jie, 2023. "Innovation convergence clubs and their driving factors within urban agglomeration," Economic Modelling, Elsevier, vol. 121(C).
    28. Liu, Xiaorui & Guo, Wen & Feng, Qiang & Wang, Peng, 2022. "Spatial correlation, driving factors and dynamic spatial spillover of electricity consumption in China: A perspective on industry heterogeneity," Energy, Elsevier, vol. 257(C).
    29. Hyun-Hoon Lee & Donghyun Park & Kwanho Shin, 2017. "Effects of China's Structural Change on the Exports of East Asian Economies," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 25(3), pages 1-30, May.
    30. Mr. Il Houng Lee & Mr. Murtaza H Syed & Mr. Liu Xueyan, 2012. "Is China Over-Investing and Does it Matter?," IMF Working Papers 2012/277, International Monetary Fund.
    31. Chen, Shiyi & Jefferson, Gary H. & Zhang, Jun, 2011. "Structural change, productivity growth and industrial transformation in China," China Economic Review, Elsevier, vol. 22(1), pages 133-150, March.
    32. Bhabani Shankar Nayak & Zhong Yingnan, 2019. "Critical Reflections on Different Trends in the Relationship between Financial Developments and Economic Growth in China," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(3), pages 89-98, March.
    33. Lin Gan & Takahashi Yoshifumi & Nomura Hisako & Yabe Mitsuyasu, 2024. "The short‐ and long‐term impacts of overinvestments on the profitability of agri‐food processing firms in China," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 227-247, January.
    34. Mylène Gaulard, 2014. "La burbuja inmobiliaria en China," Post-Print halshs-01086912, HAL.
    35. Mu Lin & Jingxin Gao & Yongjie Du & Pengyu Ren, 2023. "Mismatch in Urban Construction Land Use and Economic Growth: Empirical Evidence from China," Land, MDPI, vol. 12(2), pages 1-21, February.
    36. Mylène Gaulard, 2014. "Les dangers de la bulle immobilière chinoise," Post-Print halshs-01083047, HAL.
    37. Dincer, Hasan & Hacioglu, Umit & Tatoglu, Ekrem & Delen, Dursun, 2019. "Developing a hybrid analytics approach to measure the efficiency of deposit banks," Journal of Business Research, Elsevier, vol. 104(C), pages 131-145.
    38. Liu, Jianhua & Liu, Jingjun & Tang, Zhenyang & Xu, Yue, 2024. "Provincial economic growth and firm excess investment: Evidence from China," Economic Modelling, Elsevier, vol. 137(C).
    39. Xu, Ze & Zhang, Zhengfeng & Li, Chu, 2019. "Exploring urban green spaces in China: Spatial patterns, driving factors and policy implications," Land Use Policy, Elsevier, vol. 89(C).
    40. Yang, Zhenbing & Shao, Shuai & Xu, Lili & Yang, Lili, 2022. "Can regional development plans promote economic growth? City-level evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    41. Yunyang Ji & Xiaoxin Guo & Shihu Zhong & Lina Wu, 2020. "Land Financialization, Uncoordinated Development of Population Urbanization and Land Urbanization, and Economic Growth: Evidence from China," Land, MDPI, vol. 9(12), pages 1-22, November.

  10. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.

    Cited by:

    1. Chang, C-L. & Khamkaew, T. & McAleer, M.J., 2010. "Estimating Price Effects in an Almost Ideal Demand Model of Outbound Thai Tourism to East Asia," Econometric Institute Research Papers EI 2010-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Cang, Shuang & Yu, Hongnian, 2014. "A combination selection algorithm on forecasting," European Journal of Operational Research, Elsevier, vol. 234(1), pages 127-139.
    3. Haiyan Song & Egon Smeral & Gang Li & Jason L. Chen, 2008. "Tourism Forecasting: Accuracy of Alternative Econometric Models Revisited," WIFO Working Papers 326, WIFO.
    4. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
    5. Song, Haiyan & Lin, Shanshan & Witt, Stephen F. & Zhang, Xinyan, 2011. "Impact of financial/economic crisis on demand for hotel rooms in Hong Kong," Tourism Management, Elsevier, vol. 32(1), pages 172-186.
    6. Agiomirgianakis, George & Serenis, Dimitrios & Tsounis, Nicholas, 2017. "Effective timing of tourism policy: The case of Singapore," Economic Modelling, Elsevier, vol. 60(C), pages 29-38.
    7. Song, Haiyan & Gao, Bastian Z. & Lin, Vera S., 2013. "Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system," International Journal of Forecasting, Elsevier, vol. 29(2), pages 295-310.
    8. Fildes, Robert & Wei, Yingqi & Ismail, Suzilah, 2011. "Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures," International Journal of Forecasting, Elsevier, vol. 27(3), pages 902-922.
    9. Chin-Mei Chou & Shu Fen Hsieh & Hsi Peng Tseng, 2014. "The Crowding-out Effects of Chinese Tourists on Inbound Tourism in Taiwan," Tourism Economics, , vol. 20(6), pages 1235-1251, December.
    10. Mauricio Calani & J. Rodrigo Fuentes & Klaus Schmidt-Hebbel, 2008. "A Systemic Approach to Money Demand Modeling," Working Papers Central Bank of Chile 512, Central Bank of Chile.
    11. Wani, M.H. & Paul, Ranjit Kumar & Bazaz, Naseer H. & Manzoor, M., 2015. "Market integration and Price Forecasting of Apple in India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 70(2), pages 1-13.
    12. Jian-Wu Bi & Tian-Yu Han & Hui Li, 2022. "International tourism demand forecasting with machine learning models: The power of the number of lagged inputs," Tourism Economics, , vol. 28(3), pages 621-645, May.
    13. Akarapong Untong & Vicente Ramos & Mingsarn Kaosa-Ard & Javier Rey-Maquieira, 2014. "Thailand's Long-Run Tourism Demand Elasticities," Tourism Economics, , vol. 20(3), pages 595-610, June.
    14. Serdar Ongan & Cem Işik & Dilek Özdemir, 2017. "The Effects of Real Exchange Rates and Income on International Tourism Demand for the USA from Some European Union Countries," Economies, MDPI, vol. 5(4), pages 1-11, December.
    15. Chuan Zhang & Ao‐Yun Hu & Yu‐Xin Tian, 2023. "Daily tourism forecasting through a novel method based on principal component analysis, grey wolf optimizer, and extreme learning machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2121-2138, December.
    16. Bi, Jian-Wu & Li, Hui & Fan, Zhi-Ping, 2021. "Tourism demand forecasting with time series imaging: A deep learning model," Annals of Tourism Research, Elsevier, vol. 90(C).
    17. David C. Broadstock & Xun Chen, 2013. "A possible role for discriminatory fuel duty in reducing the emissions from road transport: some UK evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 20(6), pages 540-544, April.
    18. Gaojun Zhang & Jinfeng Wu & Bing Pan & Junyi Li & Minjie Ma & Muzi Zhang & Jian Wang, 2017. "Improving daily occupancy forecasting accuracy for hotels based on EEMD-ARIMA model," Tourism Economics, , vol. 23(7), pages 1496-1514, November.
    19. Coshall, John T. & Charlesworth, Richard, 2011. "A management orientated approach to combination forecasting of tourism demand," Tourism Management, Elsevier, vol. 32(4), pages 759-769.
    20. Brida, Juan Gabriel & Pereyra, Juan Sebastián & Such, María Jesús & Pulina, Manuela, 2011. "Causalidad entre turismo y crecimiento económico de largo plazo: una revisión crítica de la literatura econométrica [Causality between tourism and long-term economic growth: a critical review of th," MPRA Paper 37332, University Library of Munich, Germany, revised 2011.
    21. Claveria, Oscar & Torra, Salvador, 2014. "Forecasting tourism demand to Catalonia: Neural networks vs. time series models," Economic Modelling, Elsevier, vol. 36(C), pages 220-228.
    22. Li, Gang & Song, Haiyan & Cao, Zheng & Wu, Doris Chenguang, 2013. "How competitive is Hong Kong against its competitors? An econometric study," Tourism Management, Elsevier, vol. 36(C), pages 247-256.
    23. Liu, Ying & Wen, Long & Liu, Han & Song, Haiyan, 2024. "Predicting tourism recovery from COVID-19: A time-varying perspective," Economic Modelling, Elsevier, vol. 135(C).
    24. Chien-Chiang Lee & Godwin O Olasehinde-Williams & Ifedolapo Olabisi Olanipekun, 2022. "GDP volatility implication of tourism volatility in South Africa: A time-varying approach," Tourism Economics, , vol. 28(2), pages 435-450, March.
    25. Nicholas Apergis & Andrea Mervar & James E. Payne, 2017. "Forecasting disaggregated tourist arrivals in Croatia," Tourism Economics, , vol. 23(1), pages 78-98, February.
    26. Bonham, Carl & Gangnes, Byron & Zhou, Ting, 2009. "Modeling tourism: A fully identified VECM approach," International Journal of Forecasting, Elsevier, vol. 25(3), pages 531-549, July.
    27. Guizzardi, Andrea & Stacchini, Annalisa, 2015. "Real-time forecasting regional tourism with business sentiment surveys," Tourism Management, Elsevier, vol. 47(C), pages 213-223.
    28. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    29. Athanasopoulos, George & Deng, Minfeng & Li, Gang & Song, Haiyan, 2014. "Modelling substitution between domestic and outbound tourism in Australia: A system-of-equations approach," Tourism Management, Elsevier, vol. 45(C), pages 159-170.
    30. Mustafa Özer & Inci Oya Coşkun & Mustafa Kırca, 2015. "Time Varying Causality Between Exchange Rates And Tourism Demand For Turkey," Tourism Research Institute, Journal of Tourism Research, vol. 10(1), pages 125-142, June.
    31. Mingming Hu & Haiyan Song, 2020. "Data source combination for tourism demand forecasting," Tourism Economics, , vol. 26(7), pages 1248-1265, November.
    32. Ya-Ling Huang & Chin-Tsai Lin, 2011. "Developing an interval forecasting method to predict undulated demand," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(3), pages 513-524, April.

  11. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.

    Cited by:

    1. Nyoni, Thabani, 2019. "Addressing the population question in Mexico: A Box-Jenkins ARIMA approach," MPRA Paper 92440, University Library of Munich, Germany.
    2. António Rua & Carlos Melo Gouveia & Nuno Lourenço, 2020. "Forecasting tourism with targeted predictors in a data-rich environment," Working Papers w202005, Banco de Portugal, Economics and Research Department.
    3. Louie Ren & Yong Glasure, 2009. "Applicability of the Revised Mean Absolute Percentage Errors (MAPE) Approach to Some Popular Normal and Non-normal Independent Time Series," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(4), pages 409-420, November.
    4. Nyoni, Thabani, 2019. "Forecasting total population in Yemen using Box-Jenkins ARIMA models," MPRA Paper 92433, University Library of Munich, Germany.
    5. Nada Kulendran & Sarath Divisekera, 2007. "Measuring the Economic Impact of Australian Tourism Marketing Expenditure," Tourism Economics, , vol. 13(2), pages 261-274, June.
    6. Maria M. De Mello & Natércia Fortuna, 2005. "Testing Alternative Dynamic Systems for Modelling Tourism Demand," Tourism Economics, , vol. 11(4), pages 517-537, December.
    7. Haiyan Song & Egon Smeral & Gang Li & Jason L. Chen, 2008. "Tourism Forecasting: Accuracy of Alternative Econometric Models Revisited," WIFO Working Papers 326, WIFO.
    8. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
    9. Ketenci, Natalya, 2009. "The ARDL Approach to Cointegration Analysis of Tourism Demand in Turkey: with Greece as the substitution destination," MPRA Paper 86602, University Library of Munich, Germany.
    10. Hassani, Hossein & Silva, Emmanuel Sirimal & Antonakakis, Nikolaos & Filis, George & Gupta, Rangan, 2017. "Forecasting accuracy evaluation of tourist arrivals," Annals of Tourism Research, Elsevier, vol. 63(C), pages 112-127.
    11. Bi, Jian-Wu & Liu, Yang & Li, Hui, 2020. "Daily tourism volume forecasting for tourist attractions," Annals of Tourism Research, Elsevier, vol. 83(C).
    12. George Athanasopoulos & Rob J Hyndman & Haiyan Song & Doris C Wu, 2008. "The tourism forecasting competition," Monash Econometrics and Business Statistics Working Papers 10/08, Monash University, Department of Econometrics and Business Statistics, revised Oct 2009.
    13. C. Petropoulos & K. Nikolopoulos & A. Patelis & V. Assimakopoulos & D. Askounis, 2006. "Tourism Technical Analysis System," Tourism Economics, , vol. 12(4), pages 543-563, December.
    14. Nyoni, Thabani, 2019. "A Box-Jenkins ARIMA approach to the population question in Pakistan: A reliable prognosis," MPRA Paper 92434, University Library of Munich, Germany.
    15. Nyoni, Thabani, 2019. "Is Nigeria's economy progressing or backsliding? Implications from ARIMA models," MPRA Paper 91396, University Library of Munich, Germany.
    16. Song, Haiyan & Li, Gang & Witt, Stephen F. & Athanasopoulos, George, 2011. "Forecasting tourist arrivals using time-varying parameter structural time series models," International Journal of Forecasting, Elsevier, vol. 27(3), pages 855-869, July.
    17. Guizzardi, Andrea & Mazzocchi, Mario, 2010. "Tourism demand for Italy and the business cycle," Tourism Management, Elsevier, vol. 31(3), pages 367-377.
    18. Nyoni, Thabani & Mutongi, Chipo, 2019. "Modeling and forecasting carbon dioxide emissions in China using Autoregressive Integrated Moving Average (ARIMA) models," MPRA Paper 93984, University Library of Munich, Germany.
    19. Nyoni, Thabani, 2019. "Modeling and forecasting population in Bangladesh: a Box-Jenkins ARIMA approach," MPRA Paper 91394, University Library of Munich, Germany.
    20. Haodong Sun & Yang Yang & Yanyan Chen & Xiaoming Liu & Jiachen Wang, 2023. "Tourism demand forecasting of multi-attractions with spatiotemporal grid: a convolutional block attention module model," Information Technology & Tourism, Springer, vol. 25(2), pages 205-233, June.
    21. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    22. Jacky S. Charles & Thomas M. Fullerton Jr, 2012. "Research Note: An Error Correction Analysis of Visitor Arrivals in the Bahamas," Tourism Economics, , vol. 18(1), pages 253-259, February.
    23. Apergis Nicholas, 2021. "Forecasting US overseas travelling with univariate and multivariate models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 963-976, September.
    24. Luiz Moutinho & K.-H. Huarng & Tiffany Yu & C.-Y. Chen, 2008. "Modeling and forecasting tourism demand: the case of flows from Mainland China to Taiwan," Service Business, Springer;Pan-Pacific Business Association, vol. 2(3), pages 219-232, September.
    25. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.
    26. Michael Toma & Richard McGrath & James Payne, 2009. "Hotel tax receipts and the 'Midnight in the Garden of Good and Evil': a time series intervention seasonal ARIMA model with time-varying variance," Applied Economics Letters, Taylor & Francis Journals, vol. 16(7), pages 653-656.
    27. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    28. Nyoni, Thabani, 2019. "Forecasting the population of Brazil using the Box-Jenkins ARIMA approach," MPRA Paper 92437, University Library of Munich, Germany.
    29. Jian-Wu Bi & Tian-Yu Han & Hui Li, 2022. "International tourism demand forecasting with machine learning models: The power of the number of lagged inputs," Tourism Economics, , vol. 28(3), pages 621-645, May.
    30. Noelia Oses & Jon Kepa Gerrikagoitia & Aurkene Alzua, 2016. "Modelling and prediction of a destination’s monthly average daily rate and occupancy rate based on hotel room prices offered online," Tourism Economics, , vol. 22(6), pages 1380-1403, December.
    31. Lourenço, Nuno & Gouveia, Carlos Melo & Rua, António, 2021. "Forecasting tourism with targeted predictors in a data-rich environment," Economic Modelling, Elsevier, vol. 96(C), pages 445-454.
    32. Nyoni, Thabani & Muchingami, Lovemore, 2019. "Foreign Direct Investment (FDI) dynamics in India: what do ARIMA models tell us?," MPRA Paper 93986, University Library of Munich, Germany.
    33. Mehmet EryiÄŸit & ErdoÄŸan Kotil & Resul EryiÄŸit, 2010. "Factors Affecting International Tourism Flows to Turkey: A Gravity Model Approach," Tourism Economics, , vol. 16(3), pages 585-595, September.
    34. Charles, Jacky S. & Fullerton, Thomas M., Jr., 2012. "An Error Correction Analysis of Visitor Arrivals to the Bahamas," MPRA Paper 43064, University Library of Munich, Germany.
    35. Naudé, Wim & Saayman, Andrea, 2005. "Determinants of tourist arrivals in Africa: a panel data regression analysis," MPRA Paper 16479, University Library of Munich, Germany.
    36. Delia Popescu & Andreea Saseanu & Daniel Bulin & Grazia Calabro, 2014. "Econometric Models in Romanian Tourism under the Impact of Sustainable Development," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 16(Special 8), pages 1063-1063, August.
    37. Haiyan Song & Stephen F. Witt & Xinyan Zhang, 2008. "Developing a Web-Based Tourism Demand Forecasting System," Tourism Economics, , vol. 14(3), pages 445-468, September.
    38. Nyoni, Thabani, 2019. "The population question in Zimbabwe: reliable projections from the Box – Jenkins ARIMA approach," MPRA Paper 96791, University Library of Munich, Germany.
    39. Chuan Zhang & Ao‐Yun Hu & Yu‐Xin Tian, 2023. "Daily tourism forecasting through a novel method based on principal component analysis, grey wolf optimizer, and extreme learning machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2121-2138, December.
    40. Bi, Jian-Wu & Li, Hui & Fan, Zhi-Ping, 2021. "Tourism demand forecasting with time series imaging: A deep learning model," Annals of Tourism Research, Elsevier, vol. 90(C).
    41. -, 2011. "An assessment of the economic impact of climate change on the tourism sector in Jamaica," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38606, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    42. Nyoni, Thabani, 2019. "Is South Africa the South Africa we all desire? Insights from the Box-Jenkins ARIMA approach," MPRA Paper 92441, University Library of Munich, Germany.
    43. Egon Smeral & Michael Wüger, 2004. "Does Complexity Matter? Methods for Improving Forecasting Accuracy in Tourism," WIFO Working Papers 225, WIFO.
    44. Li, Xin & Pan, Bing & Law, Rob & Huang, Xiankai, 2017. "Forecasting tourism demand with composite search index," Tourism Management, Elsevier, vol. 59(C), pages 57-66.
    45. Maria Luisa Cortón & Maling Ebrahimpour, 2014. "Research Note: Forecasting Film-Induced Tourism — The Dolphin Tale Case," Tourism Economics, , vol. 20(6), pages 1349-1356, December.
    46. Nyoni, Thabani, 2019. "What will be Botswana's population in 2050? Evidence from the Box-Jenkins approach," MPRA Paper 93977, University Library of Munich, Germany.
    47. Nyoni, Thabani & Mutongi, Chipo, 2019. "Prediction of total population in Togo using ARIMA models," MPRA Paper 93983, University Library of Munich, Germany.
    48. Pérez-Mesa, Juan Carlos & García-Barranco, M & Piedra-Muñoz, Laura & Galdeano-Gómez, Emilio, 2019. "Transport as a limiting factor for the growth of Spanish agri-food exports," MPRA Paper 119855, University Library of Munich, Germany.
    49. Chatziantoniou, Ioannis & Degiannakis, Stavros & Eeckels, Bruno & Filis, George, 2015. "Forecasting Tourist Arrivals Using Origin Country Macroeconomics," MPRA Paper 68062, University Library of Munich, Germany.
    50. -, 2011. "An assessment of the economic impact of climate change on the tourism sector in the Bahamas," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38601, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    51. Adam G. Walke & Thomas M. Fullerton Jr., 2019. "Metropolitan Hotel Sector Forecast Accuracy in El Paso," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(2), pages 179-191, June.
    52. Xie, Gang & Qian, Yatong & Wang, Shouyang, 2020. "A decomposition-ensemble approach for tourism forecasting," Annals of Tourism Research, Elsevier, vol. 81(C).
    53. Coshall, John T. & Charlesworth, Richard, 2011. "A management orientated approach to combination forecasting of tourism demand," Tourism Management, Elsevier, vol. 32(4), pages 759-769.
    54. Ferda Halicioglu, 2010. "An Econometric Analysis of the Aggregate Outbound Tourism Demand of Turkey," Tourism Economics, , vol. 16(1), pages 83-97, March.
    55. -, 2011. "An assessment of the economic impact of climate change on the water sector in the Turks and Caicos Islands," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38581, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    56. Nyoni, Thabani & Mutongi, Chipo & Munyaradzi, Nyoni, 2019. "Population dynamics in Gambia: an ARIMA approach," MPRA Paper 93985, University Library of Munich, Germany.
    57. Nyoni, Thabani, 2019. "Box-Jenkins ARIMA approach to predicting total population in Russia," MPRA Paper 92456, University Library of Munich, Germany.
    58. Gunter, Ulrich & Önder, Irem, 2015. "Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data," Tourism Management, Elsevier, vol. 46(C), pages 123-135.
    59. Nyoni, Thabani, 2019. "Where is Eritrea going in terms of population growth? Insights from the ARIMA approach," MPRA Paper 92435, University Library of Munich, Germany.
    60. Houssine Choyakh, 2008. "A Model of Tourism Demand for Tunisia: Inclusion of the Tourism Investment Variable," Tourism Economics, , vol. 14(4), pages 819-838, December.
    61. Han Liu & Ying Liu & Yonglian Wang & Changchun Pan, 2019. "Hot topics and emerging trends in tourism forecasting research: A scientometric review," Tourism Economics, , vol. 25(3), pages 448-468, May.
    62. Nyoni, Thabani, 2019. "Can Algeria be the first African country to outsmart the Malthusian population trap? Insights from the ARIMA approach," MPRA Paper 92425, University Library of Munich, Germany.
    63. Shujie Shen & Gang Li & Haiyan Song, 2009. "Effect of Seasonality Treatment on the Forecasting Performance of Tourism Demand Models," Tourism Economics, , vol. 15(4), pages 693-708, December.
    64. Nicholas Apergis & Andrea Mervar & James E. Payne, 2017. "Forecasting disaggregated tourist arrivals in Croatia," Tourism Economics, , vol. 23(1), pages 78-98, February.
    65. Nyoni, Thabani & Mutongi, Chipo, 2019. "Can Afghanistan be a victim of the Malthusian population trap? what does the ARIMA approach tell us?," MPRA Paper 93978, University Library of Munich, Germany.
    66. Pérez-Mesa, Juan Carlos & García-Barranco, M. Carmen & Piedra-Muñoz, Laura & Galdeano-Gómez, Emilio, 2019. "Transport as a limiting factor for the growth of Spanish agri-food exports," Research in Transportation Economics, Elsevier, vol. 78(C).
    67. Nyoni, Thabani, 2019. "Predicting total population in India: A Box-Jenkins ARIMA approach," MPRA Paper 92436, University Library of Munich, Germany.
    68. KETENCI, Natalya, 2010. "Cointegration Analysis Of Tourism Demand For Turkey," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(1).
    69. Long Wen & Chang Liu & Haiyan Song, 2019. "Forecasting tourism demand using search query data: A hybrid modelling approach," Tourism Economics, , vol. 25(3), pages 309-329, May.
    70. Nyoni, Thabani & Muchingami, Lovemore, 2019. "Modeling and forecasting Botswana's Growth Domestic Product (GDP) per capita," MPRA Paper 93987, University Library of Munich, Germany.
    71. Nyoni, Thabani, 2019. "Somalia population dynamics versus the Malthusian population trap: What does the ARIMA approach tell us?," MPRA Paper 92457, University Library of Munich, Germany.
    72. Chih-Yuan Lin & Mateus Lee, 2020. "Taiwan’s opening policy to Chinese tourists and cross-strait relations: The impacts on inbound tourism into Taiwan," Tourism Economics, , vol. 26(1), pages 27-44, February.
    73. Stephen F. Witt & Haiyan Song & Stephen Wanhill, 2004. "Forecasting Tourism-Generated Employment: The Case of Denmark," Tourism Economics, , vol. 10(2), pages 167-176, June.
    74. Jo C. Vu, 2006. "Effect of Demand Volume on Forecasting Accuracy," Tourism Economics, , vol. 12(2), pages 263-276, June.
    75. Nyoni, Thabani, 2019. "Where is Kenya being headed to? Empirical evidence from the Box-Jenkins ARIMA approach," MPRA Paper 91395, University Library of Munich, Germany.
    76. Nyoni, Thabani, 2019. "What will be China's population in 2050? Evidence from the Box-Jenkins approach," MPRA Paper 92439, University Library of Munich, Germany.
    77. Ferda Halicioglu, 2005. "An Ardl Model Of Aggregate Tourism Demand For Turkey," International Trade 0503005, University Library of Munich, Germany.
    78. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    79. Montserrat Hernández-López, 2004. "Future Tourists' Characteristics and Decisions: The Use of Genetic Algorithms as a Forecasting Method," Tourism Economics, , vol. 10(3), pages 245-262, September.
    80. Shaolong Suna & Dan Bi & Ju-e Guo & Shouyang Wang, 2020. "Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach," Papers 2002.08021, arXiv.org, revised Mar 2020.
    81. Nathalie MONTARGOT & Abdessamad OUCHEN, 2018. "L’IDH, la stabilité politique et l’absence de violence- terrorisme comme facteurs explicatifs de l’attractivité touristique : le cas du bassin méditerranéen," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 47, pages 63-80.
    82. Razmi, Seyedeh Fatemeh & Moghadam, Marjan Heirani & Behname, Mehdi, 2021. "Time-varying effects of monetary policy on Iranian renewable energy generation," Renewable Energy, Elsevier, vol. 177(C), pages 1161-1169.
    83. Mingming Hu & Haiyan Song, 2020. "Data source combination for tourism demand forecasting," Tourism Economics, , vol. 26(7), pages 1248-1265, November.
    84. José Francisco Perles-Ribes & Ana Belén Ramón-Rodríguez & Martín Sevilla-Jiménez & Antonio Rubia, 2016. "The Effects of Economic Crises on Tourism Success: An Integrated Model," Tourism Economics, , vol. 22(2), pages 417-447, April.
    85. Gang Xie & Xin Li & Yatong Qian & Shouyang Wang, 2021. "Forecasting tourism demand with KPCA-based web search indexes," Tourism Economics, , vol. 27(4), pages 721-743, June.
    86. Theologos Dergiades & Eleni Mavragani & Bing Pan, 2017. "Arrivals of Tourists in Cyprus: Mind the Web Search Intensity," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 107, Hellenic Observatory, LSE.

  12. Guy Shaojia Liu & Haiyan Song, 2003. "A Dual-Price Demand Theory for Economies under Transition," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 1(2), pages 185-203.

    Cited by:

    1. John Bennett & Huw Dixon & Helen X.Y. Hu, 2008. "The Effects of Reforming the Chinese Dual-Track Price System," CEDI Discussion Paper Series 08-14, Centre for Economic Development and Institutions(CEDI), Brunel University.
    2. Bennett, John & Dixon, Huw & Hu, Helen X.Y., 2013. "The transition from dual-track pricing to a market system: Winners and losers," Economic Systems, Elsevier, vol. 37(1), pages 30-44.

  13. Yingqi Wei & Xiaming Liu & Haiyan Song & Peter Romilly, 2001. "Endogenous innovation growth theory and regional income convergence in China," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(2), pages 153-168.

    Cited by:

    1. Sailesh Tanna & Kitja Topaiboul, 2005. "Human Capital, Trade, FDI and Economic Growth in Thailand: What causes What?," DEGIT Conference Papers c010_046, DEGIT, Dynamics, Economic Growth, and International Trade.
    2. Vaseem Akram & Jabir Ali, 2021. "Output convergence at sector level across Indian states: Evidence from weak sigma and club convergence analysis," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(7), pages 1166-1188, October.
    3. Thanos Fragkandreas, 2022. "Three Decades of Research on Innovation and Inequality: Causal Scenarios, Explanatory Factors, and Suggestions," Working Papers 60, Birkbeck Centre for Innovation Management Research, revised Feb 2022.
    4. Ulrich Reuter, 2006. "What Kind of Education Does China Need?: The Impact of Educational Attainment on Local Growth and Disparities," WIDER Working Paper Series RP2006-127, World Institute for Development Economic Research (UNU-WIDER).
    5. Artelaris, Panagiotis & Arvanitidis, Paschalis & Petrakos, George, 2006. "Theoretical and Methodological Study on Dynamic Growth Regions and Factors Explaining their Growth Performance," Papers DYNREG02, Economic and Social Research Institute (ESRI).
    6. Lo, Dic & Hong, Fuhai & Li, Guicai, 2016. "Assessing the role of inward foreign direct investment in Chinese economic development, 1990–2007: Towards a synthesis of alternative views," Structural Change and Economic Dynamics, Elsevier, vol. 37(C), pages 107-120.
    7. Pegkas, Panagiotis & Staikouras, Christos & Tsamadias, Constantinos, 2019. "Does research and development expenditure impact innovation? Evidence from the European Union countries," Journal of Policy Modeling, Elsevier, vol. 41(5), pages 1005-1025.
    8. Lei Jiang & Henk Folmer & Minhe Ji & Jianjun Tang, 2017. "Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(2), pages 301-319, March.
    9. Gang Chen & Brett Inder & Bruce Hollingsworth, 2014. "Health Investment And Economic Output In Regional China," Contemporary Economic Policy, Western Economic Association International, vol. 32(2), pages 261-274, April.
    10. Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2010. "An Analysis on Technical Efficiency in Post-reform China," MPRA Paper 41034, University Library of Munich, Germany.
    11. Rima Aloulou & Maha Kalai & Kamel Helali, 2023. "The symmetric and asymmetric impacts of external debt on economic growth in Tunisia: evidence from linear and nonlinear ARDL models," SN Business & Economics, Springer, vol. 3(7), pages 1-28, July.
    12. Chien-Chiang Lee & Chi-Chuan Lee & Chun-Ping Chang, 2015. "Globalization, Economic Growth and Institutional Development in China," Global Economic Review, Taylor & Francis Journals, vol. 44(1), pages 31-63, March.
    13. DOBSON, Steve & RAMLOGAN, Carlyn & STROBL, Eric, 2003. "Why do rates of convergence differ ? A meta-regression analysis," LIDAM Discussion Papers CORE 2003020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Su, Yaqin & Liu, Zhiqiang, 2016. "The impact of foreign direct investment and human capital on economic growth: Evidence from Chinese cities," China Economic Review, Elsevier, vol. 37(C), pages 97-109.
    15. Shu-Chen Chang, 2005. "The dynamic interactions among foreign direct investment, economic growth, exports and unemployment: evidence from Taiwan," Economic Change and Restructuring, Springer, vol. 38(3), pages 235-256, December.
    16. Dic Lo, 2004. "Assessing the Role of Foreign Direct Investment in China’s Economic Development: Macro Indicators and Insights from Sectoral-Regional Analyses," Working Papers 135, Department of Economics, SOAS University of London, UK.
    17. Chi, Wei & Qian, Xiaoye, 2009. "The role of education in regional innovation activities and economic growth: spatial evidence from China," MPRA Paper 15779, University Library of Munich, Germany.
    18. Maza, Adolfo & Villaverde, José & Hierro, María, 2014. "Should cohesion policy focus on fostering R&D? Evidence from Spain," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 29, pages 139-164.
    19. CHI, Wei, 2008. "The role of human capital in China's economic development: Review and new evidence," China Economic Review, Elsevier, vol. 19(3), pages 421-436, September.
    20. Manoj Kumar DAS & Titiksha DAS, 2020. "Determinants of economic growth in India: A time series perspective," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(623), S), pages 263-280, Summer.
    21. Kian Ong & Kent Matthews & Baoshun Wang, 2024. "The Rising Tides That Lift the Boats: Growth through Heterogeneous Convergence in Chinese Provinces," Open Economies Review, Springer, vol. 35(4), pages 751-778, September.
    22. Shu Chen Chang, 2007. "The interactions among foreign direct investment, economic growth, degree of openness and unemployment in Taiwan," Applied Economics, Taylor & Francis Journals, vol. 39(13), pages 1647-1661.
    23. Zhang, Chuanguo & Zhuang, Lihuan, 2011. "The composition of human capital and economic growth: Evidence from China using dynamic panel data analysis," China Economic Review, Elsevier, vol. 22(1), pages 165-171, March.
    24. Sergio J. Rey & Mark V. Janikas, 2005. "Regional convergence, inequality, and space," Journal of Economic Geography, Oxford University Press, vol. 5(2), pages 155-176, April.
    25. Li, Tingting & Wang, Yong, 2018. "Growth channels of human capital: A Chinese panel data study," China Economic Review, Elsevier, vol. 51(C), pages 309-322.
    26. Raifu, Sisiaka Akande & Nnadozie, Obianuju Ogochukwu & Opeloyeru, Olaide Sekinat, 2021. "The Mediating Role of Institutional Quality in Human Capital-Economic Growth Nexus in Nigeria: Evidence from Aggregate and Gender Perspective," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 46(4), pages 157-188, December.
    27. Sergio J. Rey & Mark V. Janikas, 2003. "Convergence and space," Urban/Regional 0311002, University Library of Munich, Germany, revised 16 Nov 2003.

  14. Song, Haiyan & Liu, Zinan & Jiang, Ping, 2001. "Analysing the determinants of China's aggregate investment in the reform period," China Economic Review, Elsevier, vol. 12(2-3), pages 227-242.

    Cited by:

    1. He, Xinhua, 2005. "Aggregate business investment in China and UK," Journal of Policy Modeling, Elsevier, vol. 27(6), pages 733-742, September.
    2. Michaelides, Panayotis G. & Belegri-Roboli, Athena & Economakis, George & Milios, John G., 2005. "The Determinants of Investment Activity in Greece (1960-’99)," MPRA Paper 74548, University Library of Munich, Germany.
    3. Ljungwall, Christer, 2005. "State fixed investment and non-state sector growth in China," Journal of Policy Modeling, Elsevier, vol. 27(2), pages 211-229, March.
    4. Jun, Zhang, 2003. "Investment, investment efficiency, and economic growth in China," Journal of Asian Economics, Elsevier, vol. 14(5), pages 713-734, October.
    5. Mr. Olaf Unteroberdoerster & Roberto Guimarães-Filho, 2006. "What’s Driving Private Investment in Malaysia? Aggregate Trends and Firm-Level Evidence," IMF Working Papers 2006/190, International Monetary Fund.
    6. Li, Cheng, 2010. "Savings, investment, and capital mobility within China," China Economic Review, Elsevier, vol. 21(1), pages 14-23, March.
    7. Duo Qin & Haiyan Song, 2007. "Sources of Investment Inefficiency: The Case of Fixed-Asset Investment in China," Working Papers 584, Queen Mary University of London, School of Economics and Finance.
    8. Long, Zhiming & Herrera, Rémy, 2016. "Building original series of physical capital stocks for China's economy methodological problems, proposals for solutions and a new database," China Economic Review, Elsevier, vol. 40(C), pages 33-53.
    9. You, Kefei & Sarantis, Nicholas, 2012. "Structural breaks and the equilibrium real effective exchange rate of China: A NATREX approach," China Economic Review, Elsevier, vol. 23(4), pages 1146-1163.
    10. Giner, Jose Miguel & Giner, Graciela, 2004. "An interpretative model of foreign direct investment in China: An economic policy approach," China Economic Review, Elsevier, vol. 15(3), pages 268-280.
    11. Jesus Felipe & John McCombie, 2010. "Modeling Technological Progress and Investment in China: Some Caveats," Economics Working Paper Archive wp_643, Levy Economics Institute.
    12. Jesus Felipe, 2005. "Aggregate Investment In The People'S Republic Of China: A Comment," CAMA Working Papers 2005-17, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    13. Ambachew Mekonnen Sisay, 2011. "Determinants of private investment in Ethiopia: a time series study," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 19(1), September.
    14. Ambachew, Mekonnen Sisay, 2011. "Determinants of Private Investment in Ethiopia: a Time Series Study," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 19(1), pages 180-180, September.

  15. Peter Romilly & Haiyan Song & Xiaming Liu, 2001. "Car ownership and use in Britain: a comparison of the empirical results of alternative cointegration estimation methods and forecasts," Applied Economics, Taylor & Francis Journals, vol. 33(14), pages 1803-1818.

    Cited by:

    1. Dimitrios Gounopoulos & Kyriaki Kosmidou & Dimitrios Kousenidis & Victoria Patsika, 2019. "The investigation of the dynamic linkages between real estate market and stock market in Greece," The European Journal of Finance, Taylor & Francis Journals, vol. 25(7), pages 647-669, May.
    2. Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen & Ricardo M. Sousa, 2014. "Asymmetric and nonlinear pass-through of energy prices to CO2 emission allowance prices," NIPE Working Papers 05/2014, NIPE - Universidade do Minho.
    3. Apergis, Nicholas & Cooray, Arusha, 2015. "Asymmetric interest rate pass-through in the U.S., the U.K. and Australia: New evidence from selected individual banks," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 155-172.
    4. Theologos Dergiades & Lefteris Tsoulfidis, 2011. "Revisiting residential demand for electricity in Greece: new evidence from the ARDL approach to cointegration analysis," Empirical Economics, Springer, vol. 41(2), pages 511-531, October.
    5. Katrakilidis, Constantinos & Trachanas, Emmanouil, 2012. "What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration," Economic Modelling, Elsevier, vol. 29(4), pages 1064-1069.
    6. Godwin Effiong Akpan & Usenobong Friday Akpan, 2012. "Electricity Consumption, Carbon Emissions and Economic Growth in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 2(4), pages 292-306.
    7. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Ferrer, Roman & Hammoudeh, Shawkat, 2017. "Asymmetric determinants of CDS spreads: U.S. industry-level evidence through the NARDL approach," Economic Modelling, Elsevier, vol. 60(C), pages 211-230.
    8. K.S., Sujit & Ray, Subhajyoti, 2023. "Linear and nonlinear asymmetric relationship in crude oil, gold, stock market and exchange rates: An evidence from the UAE," Resources Policy, Elsevier, vol. 83(C).
    9. P. Geoffrey Allen & Robert Fildes, 2005. "Levels, Differences and ECMs – Principles for Improved Econometric Forecasting," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 881-904, December.
    10. Rangan Gupta & Amine Lahiani & Chi-Chuan Lee & Chien-Chiang Lee, 2019. "Asymmetric dynamics of insurance premium: the impacts of output and economic policy uncertainty," Empirical Economics, Springer, vol. 57(6), pages 1959-1978, December.
    11. Nkuna, Onelie, 2013. "Sustainability of the Malawian Current Account Deficit: Application of Structural and Solvency Approaches," MPRA Paper 51919, University Library of Munich, Germany.
    12. Ullah, Assad & Zhao, Xinshun & Kamal, Muhammad Abdul & Zheng, JiaJia, 2020. "Modeling the relationship between military spending and stock market development (a) symmetrically in China: An empirical analysis via the NARDL approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    13. Sy-Hoa HO, 2015. "Long-run determinants of sovereign bond index in emerging market: New evidence from asymmetric and nonlinear pass-through," Documents de recherche 15-02, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    14. Isabella Moder, 2023. "The transmission of euro area monetary policy to financially euroized countries," Economics and Politics, Wiley Blackwell, vol. 35(3), pages 718-751, November.
    15. Adnen Ben Nasr & Mehmet Balcilar & Rangan Gupta & Seyi Saint Akadiri, 2018. "Asymmetric Effects of Inequality on Per Capita Real GDP of the United States," Working Papers 201820, University of Pretoria, Department of Economics.
    16. Fousekis, Panos & Katrakilidis, Constantinos & Trachanas, Emmanouil, 2016. "Vertical price transmission in the US beef sector: Evidence from the nonlinear ARDL model," Economic Modelling, Elsevier, vol. 52(PB), pages 499-506.
    17. Hamid, Nazrah Abdul & Muda, Ruhaini & Alam, Md. Mahmudul & Omar, Normah & Nadzri, Farah Aida Ahmad, 2020. "Contribution of Islamic Social Capital on Green Economic Growth in Malaysia," SocArXiv g9zc2, Center for Open Science.
    18. Jayanti Behera & Dukhabandhu Sahoo, 2022. "Asymmetric relationships between information and communication technology (ICT), globalization, and human development in India: evidence from non-linear ARDL analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-25, December.
    19. Bindong Sun & Tinglin Zhang & Zhou He & Rui Wang, 2017. "Urban Spatial Structure And Motorization In China," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 470-486, June.
    20. Muhammad Qayyum & Minhaj Ali & Mir Muhammad Nizamani & Shijie Li & Yuyuan Yu & Atif Jahanger, 2021. "Nexus between Financial Development, Renewable Energy Consumption, Technological Innovations and CO 2 Emissions: The Case of India," Energies, MDPI, vol. 14(15), pages 1-19, July.
    21. Molebaleso Lydia Ntshingila, 2022. "Assessment of fuel price, exchange rate and unemployment rate impact on road passenger journeys in South Africa," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(6), pages 362-369, September.
    22. Moustfa Ismael Khaleel & Ahmed Younis Jabbar & Maha Kalai & Rima Aloulou & Kamel Helali, 2024. "An Applied Study of the Symmetric and Asymmetric Impact of Oil Prices and International Financial Markets on Economic Growth in Iraq," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 66-80, July.
    23. Rehman, Mobeen Ur & Bouri, Elie & Eraslan, Veysel & Kumar, Satish, 2019. "Energy and non-energy commodities: An asymmetric approach towards portfolio diversification in the commodity market," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    24. Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong & Sousa, Ricardo M., 2015. "An empirical analysis of energy cost pass-through to CO2 emission prices," Energy Economics, Elsevier, vol. 49(C), pages 149-156.
    25. Muhammad Ahad & Zaheer Anwer, 2021. "Asymmetric impact of oil price on trade balance in BRICS countries: Multiplier dynamic analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2177-2197, April.
    26. Adnen Ben Nasr & Mehmet Balcilar & Rangan Gupta & Seyi Saint Akadiri, 2020. "Asymmetric effects of inequality on real output levels of the United States," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 47-69, March.
    27. Chang, Tsangyao & Chen, Wen-Yi, 2017. "Revisiting the relationship between suicide and unemployment: Evidence from linear and nonlinear cointegration," Economic Systems, Elsevier, vol. 41(2), pages 266-278.
    28. Mohammad Chhiddikur Rahman & Valerien O. Pede & Jean Balié, 2022. "Welfare impact of asymmetric price transmission on rice consumers in Bangladesh," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1600-1617, August.
    29. Javier Aliaga Lordemann & Alejandra Terán Orsini, 2020. "Vehicle fleets path and non-linear ownership elasticity for Bolivia, 2000-2035," Development Research Working Paper Series 04/2020, Institute for Advanced Development Studies.
    30. Abderrazak Dhaoui & Sami Bacha, 2017. "Investor emotional biases and trading volume’s asymmetric response: A non-linear ARDL approach tested in S&P500 stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1274225-127, January.
    31. Minhaj Ali & Shujahat Haider Hashmi & Yasir Habib & Dervis Kirikkaleli, 2024. "The asymmetric impact of public–private partnership investment in energy on CO2 emissions in Pakistan," Energy & Environment, , vol. 35(4), pages 2131-2150, June.
    32. Wakimin, Nur Fadzlunnisaa & Azlina, A.A. & Samsudin, Hazman & Kamaludin, Mahirah, 2019. "The Impact of Tourism Demand, Government Expenditure on Education and Income on the Environment in ASEAN-5 Countries," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(3), pages 75-90.
    33. Assad Ullah & Xinshun Zhao & Muhammad Abdul Kamal & Adeel Riaz & Bowen Zheng, 2021. "Exploring asymmetric relationship between Islamic banking development and economic growth in Pakistan: Fresh evidence from a non‐linear ARDL approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6168-6187, October.
    34. Assad Ullah & Xinshun Zhao & Muhammad Abdul Kamal & Jiajia Zheng, 2022. "Environmental regulations and inward FDI in China: Fresh evidence from the asymmetric autoregressive distributed lag approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1340-1356, January.
    35. Hemrit, Wael & Nakhli, Mohamed Sahbi, 2021. "Insurance and geopolitical risk: Fresh empirical evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 320-334.
    36. Adnen Ben Nasr & Juncal Cunado & Rıza Demirer & Rangan Gupta, 2018. "Country Risk Ratings and Stock Market Returns in Brazil, Russia, India, and China (BRICS) Countries: A Nonlinear Dynamic Approach," Risks, MDPI, vol. 6(3), pages 1-22, September.
    37. Singhal, Shelly & Choudhary, Sangita & Biswal, Pratap Chandra, 2019. "Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico," Resources Policy, Elsevier, vol. 60(C), pages 255-261.
    38. Jammazi, Rania & Lahiani, Amine & Nguyen, Duc Khuong, 2015. "A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 173-187.
    39. Md. Golam Kibria & Ismay Jahan & Jannatul Mawa, 2021. "Asymmetric effect of financial development and energy consumption on environmental degradation in South Asia? New evidence from non-linear ARDL analysis," SN Business & Economics, Springer, vol. 1(4), pages 1-18, April.
    40. Muhammad Qayyum & Yuyuan Yu & Mir Muhammad Nizamani & Saqlain Raza & Minhaj Ali & Shijie Li, 2023. "Financial Instability and CO2 Emissions in India: Evidence from ARDL Bound Testing Approach," Energy & Environment, , vol. 34(4), pages 808-829, June.
    41. Khalid M. Kisswani & Arezou Harraf & Amjad M. Kisswani, 2019. "Revisiting the effects of oil prices on exchange rate: asymmetric evidence from the ASEAN-5 countries," Economic Change and Restructuring, Springer, vol. 52(3), pages 279-300, August.
    42. Katrakilidis Constantinos & Trachanas Emmanouil, 2011. "Has the Accession of Greece in the EU Influenced the Dynamics of the Country’s “Twin Deficits”? An Empirical Investigation," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 45-54.
    43. Romilly, Peter, 2004. "Welfare evaluation with a road capacity constraint," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 287-303, May.
    44. Grzegorz Zimon & Dulal Chandra Pattak & Liton Chandra Voumik & Salma Akter & Funda Kaya & Robert Walasek & Konrad Kochański, 2023. "The Impact of Fossil Fuels, Renewable Energy, and Nuclear Energy on South Korea’s Environment Based on the STIRPAT Model: ARDL, FMOLS, and CCR Approaches," Energies, MDPI, vol. 16(17), pages 1-21, August.
    45. Chowdhury, Mohammad Ashraful Ferdous & Meo, Muhammad Saeed & Uddin, Ajim & Haque, Md. Mahmudul, 2021. "Asymmetric effect of energy price on commodity price: New evidence from NARDL and time frequency wavelet approaches," Energy, Elsevier, vol. 231(C).
    46. Theologos Dergiades & Lefteris Tsoulfidis, 2009. "Revisiting Residential Demand for Electricity in Greece: New Evidence from the ARDL Approach to Cointegration," Discussion Paper Series 2009_12, Department of Economics, University of Macedonia, revised Jun 2009.
    47. Winston Koh & Roberto Mariano & Yiu Kuen Tse, 2007. "Open vs. sealed-bid auctions: testing for revenue equivalence under Singapore's vehicle quota system," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 125-134.
    48. Muhammad Saeed Meo & Bezon Kumar & Sumayya Chughtai & Vina Javed Khan & Muhammad Khyzer Bin Dost & Qasim Ali Nisar, 2023. "Impact of Unemployment and Governance on Poverty in Pakistan: A Fresh Insight from Non-linear ARDL Co-integration Approach," Global Business Review, International Management Institute, vol. 24(5), pages 1007-1024, October.
    49. Roy, Rudra Prosad & Sinha Roy, Saikat, 2022. "Commodity futures prices pass-through and monetary policy in India: Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    50. Gan-Ochir Doojav & Kaliappa Kalirajan, 2016. "Interest Rate Pass-Through in Mongolia," The Developing Economies, Institute of Developing Economies, vol. 54(4), pages 271-291, December.
    51. Sek, Siok Kun, 2017. "Impact of oil price changes on domestic price inflation at disaggregated levels: Evidence from linear and nonlinear ARDL modeling," Energy, Elsevier, vol. 130(C), pages 204-217.
    52. Dimitrios Dimitriadis & Constantinos Katrakilidis, 2020. "An empirical analysis of the dynamic interactions among ethanol, crude oil and corn prices in the US market," Annals of Operations Research, Springer, vol. 294(1), pages 47-57, November.
    53. Md. Golam Kibria & M. M. K. Toufique, 2023. "Institutional governance and quality of life: evidence from developing countries," SN Business & Economics, Springer, vol. 3(3), pages 1-20, March.
    54. Trachanas, Emmanouil & Katrakilidis, Constantinos, 2013. "Fiscal deficits under financial pressure and insolvency: Evidence for Italy, Greece and Spain," Journal of Policy Modeling, Elsevier, vol. 35(5), pages 730-749.
    55. Luqman, Muhammad & Ahmad, Najid & Bakhsh, Khuda, 2019. "Nuclear energy, renewable energy and economic growth in Pakistan: Evidence from non-linear autoregressive distributed lag model," Renewable Energy, Elsevier, vol. 139(C), pages 1299-1309.
    56. Arumugam Sankaran & Arjun Krishna & Arjunan Vadivel, 2021. "How does manufacturing output affect export behaviors in emerging market economies? Evidence from a dynamic panel ARDL for ten biggest emerging market economies," Future Business Journal, Springer, vol. 7(1), pages 1-10, December.
    57. Kemal Çelik & Erkan Oktay & Muhsin Doğan Ebül & Ömer Özhancı, 2015. "Factors influencing consumers’ light commercial vehicle purchase intention in a developing country," Management & Marketing, Sciendo, vol. 10(2), pages 148-162, September.
    58. Muhammad Atif Khan & Muhammad Asif Khan & Kishwar Ali & József Popp & Judit Oláh, 2020. "Natural Resource Rent and Finance: The Moderation Role of Institutions," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    59. Apergis, Nicholas & Gangopadhyay, Partha, 2020. "The asymmetric relationships between pollution, energy use and oil prices in Vietnam: Some behavioural implications for energy policy-making," Energy Policy, Elsevier, vol. 140(C).

  16. Haiyan Song & Peter Romilly & Xiaming Liu, 2000. "An empirical study of outbound tourism demand in the UK," Applied Economics, Taylor & Francis Journals, vol. 32(5), pages 611-624.

    Cited by:

    1. Carl Bonham & Peter Fuleky & James Jones & Ashley Hirashima, 2015. "Nowcasting Tourism Industry Performance Using High Frequency Covariates," Working Papers 2015-13R, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Jul 2016.
    2. Massidda, Carla & Piras, Romano & Seetaram, Neelu, 2020. "A Microeconomics Analysis of the Per Diem Expenditure of British Travellers," Annals of Tourism Research, Elsevier, vol. 82(C).
    3. Seetaram, Neelu & Forsyth, Peter & Dwyer, Larry, 2016. "Measuring price elasticities of demand for outbound tourism using competitiveness indices," Annals of Tourism Research, Elsevier, vol. 56(C), pages 65-79.
    4. Marcos Álvarez-Díaz & Manuel González-Gómez & María Soledad Otero-Giráldez & Ana Belén Trigo Iglesias, 2014. "Modelización econométrica de la demanda de turistas británicos a España," Working Papers 1404, Universidade de Vigo, Departamento de Economía Aplicada.
    5. Constantinos Katrakilidis & George Konteos & Nikolaos Sariannidis & Chrysi Manolidou, 2017. "Investigation of Convergence in the Tourist Markets of Greece," European Research Studies Journal, European Research Studies Journal, vol. 0(4A), pages 707-729.
    6. Özcan Ceyhun Can & Uçak Harun, 2016. "Outbound Tourism Demand of Turkey: A Markov Switching Vector Autoregressive Approach," Czech Journal of Tourism, Sciendo, vol. 5(2), pages 59-72, December.
    7. Haiyan Song & Egon Smeral & Gang Li & Jason L. Chen, 2008. "Tourism Forecasting: Accuracy of Alternative Econometric Models Revisited," WIFO Working Papers 326, WIFO.
    8. Logar, Ivana & van den Bergh, Jeroen C.J.M., 2013. "The impact of peak oil on tourism in Spain: An input–output analysis of price, demand and economy-wide effects," Energy, Elsevier, vol. 54(C), pages 155-166.
    9. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
    10. Julien GOURDON & Lucian CERNAT, 2007. "Is the concept of sustainable tourism sustainable? Developing the Sustainable Tourism Benchmarking Tool," Working Papers 200708, CERDI.
    11. Jackman, Mahalia & Lorde, Troy & Naitram, Simon & Greenaway, Tori, 2019. "Distance Matters: The Impact of Physical and Relative Distance on Pleasure Tourists’ Length of Stay in Barbados," MPRA Paper 96613, University Library of Munich, Germany.
    12. Sung Yong Park & Sang Young Jei, 2010. "Determinants of volatility on international tourism demand for South Korea: an empirical note," Applied Economics Letters, Taylor & Francis Journals, vol. 17(3), pages 217-223, February.
    13. Ramesh Durbarry, 2008. "Tourism Taxes: Implications for Tourism Demand in the UK," Review of Development Economics, Wiley Blackwell, vol. 12(1), pages 21-36, February.
    14. Jiao, Xiaoying & Chen, Jason Li & Li, Gang, 2021. "Forecasting tourism demand: Developing a general nesting spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 90(C).
    15. Chien-Ming Wang & Su-Lan Pan & Alastair M. Morrison & Tsung-Pao Wu, 2022. "The dynamic linkages among outbound tourism, economic growth, and international trade: empirical evidence from China," SN Business & Economics, Springer, vol. 2(11), pages 1-18, November.
    16. Han Liu & Yongjing Wang & Haiyan Song & Ying Liu, 2023. "Measuring tourism demand nowcasting performance using a monotonicity test," Tourism Economics, , vol. 29(5), pages 1302-1327, August.
    17. Jacky S. Charles & Thomas M. Fullerton Jr, 2012. "Research Note: An Error Correction Analysis of Visitor Arrivals in the Bahamas," Tourism Economics, , vol. 18(1), pages 253-259, February.
    18. Juan Eugenio-Martin & Juan Campos-Soria, 2011. "Income and the substitution pattern between domestic and international tourism demand," Applied Economics, Taylor & Francis Journals, vol. 43(20), pages 2519-2531.
    19. Hirashima, Ashley & Jones, James & Bonham, Carl S. & Fuleky, Peter, 2017. "Forecasting in a Mixed Up World: Nowcasting Hawaii Tourism," Annals of Tourism Research, Elsevier, vol. 63(C), pages 191-202.
    20. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
    21. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    22. Cernat, Lucian & Gourdon, Julien, 2012. "Paths to success: Benchmarking cross-country sustainable tourism," Tourism Management, Elsevier, vol. 33(5), pages 1044-1056.
    23. Salih Katircioğlu & Sami Fethi & Hamit Caner, 2014. "Testing the higher education-led growth hypothesis in a small island: an empirical investigation from a new version of the Solow growth model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 729-744, March.
    24. Marcos à lvarez-Diaz & Manuel González-Gómez & Maria Soledad Otero-Giráldez, 2015. "Research Note: Estimating Price and Income Demand Elasticities for Spain Separately by the Major Source Markets," Tourism Economics, , vol. 21(5), pages 1103-1110, October.
    25. Emmanuel Ziramba, 2013. "Aggregate Outbound Tourism Demand in South Africa: an Econometric Analysis," Journal of Economics and Behavioral Studies, AMH International, vol. 5(5), pages 260-267.
    26. Mengmeng Qiang & Manhong Shen & Huiming Xie, 2019. "Cultural diffusion and international inbound tourism: Evidence from China," Tourism Economics, , vol. 25(6), pages 884-903, September.
    27. Yang, Yang & Liu, Ze-Hua & Qi, Qiuyin, 2014. "Domestic tourism demand of urban and rural residents in China: Does relative income matter?," Tourism Management, Elsevier, vol. 40(C), pages 193-202.
    28. Joo Hwan Seo & Bumsoo Kim, 2020. "The “Hallyu†phenomenon: Utilizing tourism destination as product placement in K-POP culture," Tourism Economics, , vol. 26(4), pages 719-728, June.
    29. Naudé, Wim & Saayman, Andrea, 2005. "Determinants of tourist arrivals in Africa: a panel data regression analysis," MPRA Paper 16479, University Library of Munich, Germany.
    30. Ogechi Adeola & Nathaniel Boso & Olaniyi Evans, 2018. "Drivers of international tourism demand in Africa," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 53(1), pages 25-36, January.
    31. Haiyan Song & Stephen F. Witt & Xinyan Zhang, 2008. "Developing a Web-Based Tourism Demand Forecasting System," Tourism Economics, , vol. 14(3), pages 445-468, September.
    32. Allison Zhou & Carl Bonham & Byron Gangnes, 2007. "Modeling the supply and demand for tourism: a fully identified VECM approach," Working Papers 200717, University of Hawaii at Manoa, Department of Economics.
    33. Gholipour, Hassan Fereidouni & Tajaddini, Reza & Al-mulali, Usama, 2014. "Does personal freedom influence outbound tourism?," Tourism Management, Elsevier, vol. 41(C), pages 19-25.
    34. Li, Xin & Pan, Bing & Law, Rob & Huang, Xiankai, 2017. "Forecasting tourism demand with composite search index," Tourism Management, Elsevier, vol. 59(C), pages 57-66.
    35. M. Pulina, 2003. "Quantitative forecasting for Tourisme: OLS and ARIMAX approaches," Working Paper CRENoS 200303, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    36. Ferda Halicioglu, 2010. "An Econometric Analysis of the Aggregate Outbound Tourism Demand of Turkey," Tourism Economics, , vol. 16(1), pages 83-97, March.
    37. Svetlana Gurieva & Irina Kuznetsova & Ekaterina Yumkina & Sergey Manichev & Elena Sidorenko, 2017. "Emotional Intelligence and Behavior Styles of Russian Middle Managers in Business Communication," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 679-693.
    38. K Jackson & W Zang, 2015. "Evaluating Methodological Issues in the Tourism Literature: UK outgoing tourism and trade links," Economic Issues Journal Articles, Economic Issues, vol. 20(1), pages 1-42, March.
    39. Song, Haiyan & Jiao, Eden & Park, Sangwon & Lu, Jiangping (Virginia), 2023. "Sectoral productivity and destination competitiveness," Annals of Tourism Research, Elsevier, vol. 103(C).
    40. Gunter, Ulrich & Önder, Irem, 2015. "Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data," Tourism Management, Elsevier, vol. 46(C), pages 123-135.
    41. Zhang, Hanyuan & Song, Haiyan & Wen, Long & Liu, Chang, 2021. "Forecasting tourism recovery amid COVID-19," Annals of Tourism Research, Elsevier, vol. 87(C).
    42. Kim, Hong-bumm & Park, Jung-Ho & Lee, Seul Ki & Jang, SooCheong (Shawn), 2012. "Do expectations of future wealth increase outbound tourism? Evidence from Korea," Tourism Management, Elsevier, vol. 33(5), pages 1141-1147.
    43. Galindo, Luis Miguel & Beltrán, Allan & Caballero, Karina, 2018. "Potential consequences of a CO2 aviation tax in Mexico on the demand for tourism," LSE Research Online Documents on Economics 90247, London School of Economics and Political Science, LSE Library.
    44. Mehmet Balcilar & Sahar Aghazadeh & George N Ike, 2021. "Modelling the employment, income and price elasticities of outbound tourism demand in OECD countries," Tourism Economics, , vol. 27(5), pages 971-990, August.
    45. Bonham, Carl & Gangnes, Byron & Zhou, Ting, 2009. "Modeling tourism: A fully identified VECM approach," International Journal of Forecasting, Elsevier, vol. 25(3), pages 531-549, July.
    46. Peter Josef Stauvermann & Ronald Ravinesh Kumar, 2017. "Modeling economic growth with tourism for small open economies," Metroeconomica, Wiley Blackwell, vol. 68(4), pages 1001-1018, November.
    47. William Maloney & Gabriel V. Montes Rojas, 2005. "How elastic are sea, sand and sun? Dynamic panel estimates of the demand for tourism," Applied Economics Letters, Taylor & Francis Journals, vol. 12(5), pages 277-280.
    48. Chi, Junwook, 2014. "A cointegration analysis of bilateral air travel flows: The case of international travel to and from the United States," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 41-47.
    49. Ferda Halicioglu, 2005. "An Ardl Model Of Aggregate Tourism Demand For Turkey," International Trade 0503005, University Library of Munich, Germany.
    50. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    51. Ulrich Gunter & Irem Önder & Stefan Gindl, 2019. "Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria," Tourism Economics, , vol. 25(3), pages 375-401, May.
    52. Lin, Vera Shanshan & Qin, Yuan & Li, Gang & Jiang, Fan, 2022. "Multiple effects of “distance” on domestic tourism demand: A comparison before and after the emergence of COVID-19," Annals of Tourism Research, Elsevier, vol. 95(C).
    53. Salih Turan Katircioǧlu, 2011. "Tourism And Growth In Singapore: New Extension From Bounds Test To Level Relationships And Conditional Granger Causality Tests," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 56(03), pages 441-453.

  17. Haiyan Song & Xiaming Liu & Peter Romilly, 1998. "Stock Returns and Volatility: an empirical study of Chinese stock markets," International Review of Applied Economics, Taylor & Francis Journals, vol. 12(1), pages 129-139.

    Cited by:

    1. Wang, Zijun & Kutan, Ali M. & Yang, Jian, 2005. "Information flows within and across sectors in Chinese stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 767-780, September.
    2. Demirer, RIza & Kutan, Ali M., 2006. "Does herding behavior exist in Chinese stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(2), pages 123-142, April.
    3. Umar, Muhammad & Rizvi, Syed Kumail Abbas & Naqvi, Bushra, 2021. "Dance with the devil? The nexus of fourth industrial revolution, technological financial products and volatility spillovers in global financial system," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    4. Eun, Cheol S. & Huang, Wei, 2007. "Asset pricing in China's domestic stock markets: Is there a logic?," Pacific-Basin Finance Journal, Elsevier, vol. 15(5), pages 452-480, November.
    5. Habibullah, M.S. & Baharom, A.H. & Fong, Kin Hing, 2009. "Predictive Content of Output and Inflation For Stock Returns and Volatility: Evidence from Selected Asian Countries," MPRA Paper 14114, University Library of Munich, Germany.
    6. Syed Kumail Abbas Rizvi & Bushra Naqvi & Nawazish Mirza, 2022. "Is green investment different from grey? Return and volatility spillovers between green and grey energy ETFs," Annals of Operations Research, Springer, vol. 313(1), pages 495-524, June.
    7. W.C Lo & W.S. Chan, 2000. "Diagnosing Shocks in Stock Market Returns of Greater China," Multinational Finance Journal, Multinational Finance Journal, vol. 4(3-4), pages 269-288, September.
    8. Xiao‐Ming Li, 2003. "China: Further Evidence on the Evolution of Stock Markets in Transition Economies," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(3), pages 341-358, August.
    9. Ioannis A. Tampakoudis & Demetres N. Subeniotis & Ioannis G. Kroustalis, 2012. "Modelling volatility during the current financial crisis: an empirical analysis of the US and the UK stock markets," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 5(3/4), pages 171-194.
    10. Poon, Winnie P. H. & Fung, Hung-Gay, 2000. "Red chips or H shares: which China-backed securities process information the fastest?," Journal of Multinational Financial Management, Elsevier, vol. 10(3-4), pages 315-343, December.

  18. Haiyan Song & Peter Romilly & Xiaming Liu, 1998. "The UK consumption function and structural instability: improving forecasting performance using a time-varying parameter approach," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 975-983.

    Cited by:

    1. Haiyan Song & Egon Smeral & Gang Li & Jason L. Chen, 2008. "Tourism Forecasting: Accuracy of Alternative Econometric Models Revisited," WIFO Working Papers 326, WIFO.
    2. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
    3. Feng-Li Lin & Wen-Yi Chen, 2020. "Did the Consumption Voucher Scheme Stimulate the Economy? Evidence from Smooth Time-Varying Cointegration Analysis," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
    4. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
    5. Ogechi Adeola & Nathaniel Boso & Olaniyi Evans, 2018. "Drivers of international tourism demand in Africa," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 53(1), pages 25-36, January.
    6. Arns, Jürgen & Bhattacharya, Kaushik, 2005. "Modelling Aggregate Consumption Growth with Time-Varying Parameters," Bonn Econ Discussion Papers 15/2005, University of Bonn, Bonn Graduate School of Economics (BGSE).
    7. M. Matilla-Garcia & P. Perez & B. Sanz, 2006. "Testing for parameter stability: the Spanish consumption function," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 445-448.

  19. Xiaming Liu & Haiyan Song & Peter Romilly, 1997. "An empirical investigation of the causal relationship between openness and economic growth in China," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1679-1686.

    Cited by:

    1. Aldrin Herwany & Erie Febrian, 2013. "Global Stock Price Linkages Around The Us Financial Crisis: Evidence From Indonesia," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 7(5), pages 35-45.
    2. Michieka, Nyakundi M. & Fletcher, Jerald & Burnett, Wesley, 2013. "An empirical analysis of the role of China’s exports on CO2 emissions," Applied Energy, Elsevier, vol. 104(C), pages 258-267.
    3. Tomasz Brodzicki, 2017. "The Role of Openness in Regional Economic Growth. The Case of Polish and Spanish NUTS-2 Regions," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 47, pages 43-64.
    4. Liu, Xiaming & Wang, Chengang & Wei, Yingqi, 2001. "Causal links between foreign direct investment and trade in China," China Economic Review, Elsevier, vol. 12(2-3), pages 190-202.
    5. Jean-François BRUN & Mary-Françoise RENARD, 1999. "Commerce extérieur et spécialisations régionales en Chine," Working Papers 199917, CERDI.
    6. Abdullahi Ahmed & Enjiang Cheng & George Messinis, 2011. "The role of exports, FDI and imports in development: evidence from Sub-Saharan African countries," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3719-3731.
    7. Gurgul, Henryk & Łukasz, Lach, 2011. "Financial development and economic growth in Poland in transition: causality analysis," MPRA Paper 38034, University Library of Munich, Germany.
    8. Haihong Gao, 2006. "Real Exchange Rate in China : A Long-run Perspective," Macroeconomics Working Papers 21969, East Asian Bureau of Economic Research.
    9. Maria Jesus Herrerias & Vicente Orts, 2011. "The driving forces behind China’s growth," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 19(1), pages 79-124, January.
    10. Anupam Das & Biru Paksha Paul, 2011. "Openness and growth in emerging Asian economies: Evidence from GMM estimations of a dynamic panel," Economics Bulletin, AccessEcon, vol. 31(3), pages 2219-2228.
    11. Sumei Tang & Antony Selvanathan & Saroja Selvanathan, 2008. "Foreign Direct Investment, Domestic Investment, and Economic Growth in China: A Time Series Analysis," WIDER Working Paper Series RP2008-19, World Institute for Development Economic Research (UNU-WIDER).
    12. Baek, Jungho & Koo, Won W., 2008. "A Dynamic Approach to the FDI-Environment Nexus: The Case of China and India," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6508, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Harrison, Ann E. & Rodriguez-Clare, Andres, 2009. "Trade, Foreign Investment, and Industrial Policy," MPRA Paper 15561, University Library of Munich, Germany.
    14. Shu-Chen Chang, 2005. "The dynamic interactions among foreign direct investment, economic growth, exports and unemployment: evidence from Taiwan," Economic Change and Restructuring, Springer, vol. 38(3), pages 235-256, December.
    15. Siddique, Hafiz Muhammad Abubakar & Majeed, Muhammad Tariq, 2015. "Energy consumption, economic growth, trade and financial development nexus in south asia," MPRA Paper 71245, University Library of Munich, Germany, revised 2015.
    16. Nurhaliq, Puteri & Masih, Mansur, 2016. "Export orientation vs import substitution : which strategy should the government adopt? Evidence from Malaysia," MPRA Paper 82113, University Library of Munich, Germany.
    17. Ana María Cuadros Ramos, 2000. "Exportaciones y crecimiento económico: Un análisis de causalidad para México," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 15(1), pages 37-64.
    18. Yoon Jung Choi & Jungho Baek, 2017. "Does FDI Really Matter to Economic Growth in India?," Economies, MDPI, vol. 5(2), pages 1-9, June.
    19. Harrison, Ann & Rodríguez-Clare, Andrés, 2010. "Trade, Foreign Investment, and Industrial Policy for Developing Countries," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4039-4214, Elsevier.
    20. Haq, Munshi Masudul, 2008. "Growth and openness: empirical evidence from Bangladesh," MPRA Paper 35732, University Library of Munich, Germany.
    21. De la Cruz Gallegos Jose Luis & Ivanova Boncheva Antonina & Ruiz-Porras Antonio, 2008. "Competition between Latin America and China for US Direct Investment," Global Economy Journal, De Gruyter, vol. 8(2), pages 1-22, June.
    22. Jean-François Hoarau & Nicolas Lucic, 2022. "Are real merchandise imports per capita a good predictor for the standard of living for the small island world: Testing for the imports-led growth and the growth-led imports hypotheses in panels over ," TEPP Working Paper 2022-16, TEPP.
    23. Oludele Akinboade & Emilie Kinfack, 2014. "Financial Sector Development Indicators and Economic Growth in Cameroon and South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(2), pages 813-836, January.
    24. José Antonio Núñez & José Luis de la Cruz, 2004. "Productivity, Inflation, And Investment: An Analysis Of Causality," Econometric Society 2004 Latin American Meetings 154, Econometric Society.
    25. Aurangzeb, 2003. "Trade, Investment and Growth Nexus in Pakistan: An Application of Cointegration and Multivariate Causality Test," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 8(1), pages 119-137, Jan-June.
    26. Shahbaz, Muhammad, 2012. "Does trade openness affect long run growth? Cointegration, causality and forecast error variance decomposition tests for Pakistan," Economic Modelling, Elsevier, vol. 29(6), pages 2325-2339.
    27. Olufemi Adewale Aluko Adefemi A. Obalade, 2020. "Import-economic growth nexus in selected African countries: An application of the Toda-Yamamoto Granger non-causality test," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 23(2), pages 117-128, November.
    28. Nikolaos Dritsakis, 2004. "Exports, investments and economic development of pre-accession countries of the European Union: an empirical investigation of Bulgaria and Romania," Applied Economics, Taylor & Francis Journals, vol. 36(16), pages 1831-1838.
    29. Christer Ljungwall, 2006. "Export-led Growth: Application to China's Provinces, 1978-2001," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 4(2), pages 109-126.
    30. Zheng, Wei & Walsh, Patrick Paul, 2019. "Economic growth, urbanization and energy consumption — A provincial level analysis of China," Energy Economics, Elsevier, vol. 80(C), pages 153-162.
    31. Shu Chen Chang, 2007. "The interactions among foreign direct investment, economic growth, degree of openness and unemployment in Taiwan," Applied Economics, Taylor & Francis Journals, vol. 39(13), pages 1647-1661.
    32. Wei Zheng & Patrick Paul Walsh, 2018. "Economic growth, urbanization and energy consumption," Working Papers 201817, Geary Institute, University College Dublin.
    33. Karahasan, Burhan Can, 2009. "Causal Links Between Trade And Economic Growth Evidence From Turkey And European Union Countries," MPRA Paper 29809, University Library of Munich, Germany, revised 2011.
    34. Aldrin Herwany & Erie Febrian, 2010. "Co-integration and Causality Analysis on Developed Asian Markets For Risk Management & Portfolio Selection," Working Papers in Business, Management and Finance 201001, Department of Management and Business, Padjadjaran University, revised Jan 2010.
    35. M. Herrerias & Vicente Orts, 2012. "Equipment investment, output and productivity in China," Empirical Economics, Springer, vol. 42(1), pages 181-207, February.
    36. Wong Hock Tsen, 2006. "Granger causality tests among openness to international trade, human capital accumulation and economic growth in China: 1952-1999," International Economic Journal, Taylor & Francis Journals, vol. 20(3), pages 285-302.

  20. Song, Haiyan & Liu, Xiaming & Romilly, Peter, 1997. "A Comparative Study of Modelling the Demand for Food in the United States and the Netherlands: Reply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(5), pages 612-613, Sept.-Oct.

    Cited by:

    1. Shiyuan Chen & Sally Wallace, 2009. "Food Consumption in Jamaica: A Household and Social Behavior," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0901, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    2. Karel Janda & Jill J. McCluskey & Gordon C. Rausser, 2000. "Food Import Demand in the Czech Republic," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(1), pages 22-44, January.
    3. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
    4. Haiyan Song & Peter Romilly & Xiaming Liu, 1998. "The UK consumption function and structural instability: improving forecasting performance using a time-varying parameter approach," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 975-983.

  21. Song, Haiyan & Liu, Xiaming & Romilly, Peter, 1997. "A Comparative Study of Modelling the Demand for Food in the United States and the Netherlands," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(5), pages 593-608, Sept.-Oct.

    Cited by:

    1. Shiyuan Chen & Sally Wallace, 2009. "Food Consumption in Jamaica: A Household and Social Behavior," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0901, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    2. Daniel, Rascher & Matt, Brown & Mark, Nagel & Chad, McEvoy, 2009. "Where did National Hockey League Fans go During the 2004-2005 Lockout?: An Analysis of Economic Competition Between Leagues," MPRA Paper 25804, University Library of Munich, Germany.
    3. Karel Janda & Jill J. McCluskey & Gordon C. Rausser, 2000. "Food Import Demand in the Czech Republic," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(1), pages 22-44, January.
    4. Ville Aalto-Setälä & Jouko Kinnunen & Katri Koistinen, 2004. "Reasons for high food prices in small market areas: The case of the Åland Islands," Agribusiness, John Wiley & Sons, Ltd., vol. 20(1), pages 17-29.
    5. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
    6. Haiyan Song & Peter Romilly & Xiaming Liu, 1998. "The UK consumption function and structural instability: improving forecasting performance using a time-varying parameter approach," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 975-983.
    7. Girapunthong, Napaporn & Ward, Ronald W., 2003. "Demand Drivers For Fresh-Cut Flowers And Their Substitutes: An Application Of Household Expenditure Allocation Models," 2003 Annual meeting, July 27-30, Montreal, Canada 22178, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  22. Brown, Jane P. & Song, Haiyan & McGillivray, Alan, 1997. "Forecasting UK house prices: A time varying coefficient approach," Economic Modelling, Elsevier, vol. 14(4), pages 529-548, October.

    Cited by:

    1. Camilo Serrano & Martin Hoesli, 2010. "Are Securitized Real Estate Returns more Predictable than Stock Returns?," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 170-192, August.
    2. Singh, Balwant, 2005. "A forecasting and policy simulation oriented small macro-model for the Indian economy," Journal of Policy Modeling, Elsevier, vol. 27(9), pages 1025-1049, December.
    3. Haiyan Song & Egon Smeral & Gang Li & Jason L. Chen, 2008. "Tourism Forecasting: Accuracy of Alternative Econometric Models Revisited," WIFO Working Papers 326, WIFO.
    4. Hany Guirguis & Christos Giannikos & Randy Anderson, 2004. "The US Housing Market: Asset Pricing Forecasts Using Time Varying Coefficients," The Journal of Real Estate Finance and Economics, Springer, vol. 30(1), pages 33-53, October.
    5. Monica Palma & Claudia Cappello & Sandra De Iaco & Daniela Pellegrino, 2019. "The residential real estate market in Italy: a spatio-temporal analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2451-2472, September.
    6. P. Geoffrey Allen & Robert Fildes, 2005. "Levels, Differences and ECMs – Principles for Improved Econometric Forecasting," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 881-904, December.
    7. van der Drift, Rosa & de Haan, Jan & Boelhouwer, Peter, 2023. "Mortgage credit and house prices: The housing market equilibrium revisited," Economic Modelling, Elsevier, vol. 120(C).
    8. Yongheng Deng & Eric Girardin & Roselyne Joyeux, 2015. "Fundamentals and the Volatility of Real Estate Prices in China: A Sequential Modelling Strategy," Working Papers 222015, Hong Kong Institute for Monetary Research.
    9. Deng, Yongheng & Girardin, Eric & Joyeux, Roselyne, 2018. "Fundamentals and the volatility of real estate prices in China: A sequential modelling strategy," China Economic Review, Elsevier, vol. 48(C), pages 205-222.
    10. Gary Wai Chung Wong & Lok Sang Ho, 2017. "Policy-Driven Housing Cycle: The Hong Kong Case of Supply Intervention," International Real Estate Review, Global Social Science Institute, vol. 20(3), pages 375-396.
    11. Gurdgiev, Constantin T., 2006. "Owner-occupied housing in a model of exchange rate determination," Journal of Housing Economics, Elsevier, vol. 15(3), pages 217-229, September.
    12. Joe Tak-Yun Wong & Eddie Hui & William Seabrooke & John Raftery, 2005. "A study of the Hong Kong property market: housing price expectations," Construction Management and Economics, Taylor & Francis Journals, vol. 23(7), pages 757-765.
    13. Adrienne Grêt-Regamey & Ricardo Crespo, 2011. "Planning from a Future Vision: Inverse Modeling in Spatial Planning," Environment and Planning B, , vol. 38(6), pages 979-994, December.
    14. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
    15. Vicente Esteve & María A. Prats, 2021. "Testing for rational bubbles in Australian housing market from a long-term perspective," Working Papers 2113, Department of Applied Economics II, Universidad de Valencia.
    16. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    17. Chang, Kuang-Liang, 2010. "House price dynamics, conditional higher-order moments, and density forecasts," Economic Modelling, Elsevier, vol. 27(5), pages 1029-1039, September.
    18. Abdulnasser Hatemi-J & Eduardo Roca, 2006. "Calculating the optimal hedge ratio: constant, time varying and the Kalman Filter approach," Applied Economics Letters, Taylor & Francis Journals, vol. 13(5), pages 293-299.
    19. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    20. Esteve Vicente & Prats Maria A., 2021. "Structural Breaks and Explosive Behavior in the Long-Run: The Case of Australian Real House Prices, 1870–2020," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 72-84, January.
    21. Meen, Geoffrey, 2002. "The Time-Series Behavior of House Prices: A Transatlantic Divide?," Journal of Housing Economics, Elsevier, vol. 11(1), pages 1-23, March.
    22. Hanxiong Zhang & Robert Hudson & Hugh Metcalf & Viktor Manahov, 2017. "Investigation of institutional changes in the UK housing market using structural break tests and time-varying parameter models," Empirical Economics, Springer, vol. 53(2), pages 617-640, September.
    23. Zied Ftiti & Duc Khuong Nguyen & Khaled Guesmi & Frédéric Teulon, 2014. "Modelling Inflation Shifts and Persistence in Tunisia: Perspective from an Evolutionary spectral approach," Working Papers 2014-124, Department of Research, Ipag Business School.
    24. Haiyan Song & Peter Romilly & Xiaming Liu, 1998. "The UK consumption function and structural instability: improving forecasting performance using a time-varying parameter approach," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 975-983.
    25. Dangl, Thomas & Halling, Michael, 2012. "Predictive regressions with time-varying coefficients," Journal of Financial Economics, Elsevier, vol. 106(1), pages 157-181.
    26. Toru Komaki & Jeremy Penzer, 2005. "Estimation of time‐varying price elasticity in 1970–1997 Japanese raw milk supply by structural time‐series model," Agricultural Economics, International Association of Agricultural Economists, vol. 32(1), pages 1-14, January.
    27. Irene de Greef & Ralph de Haas, 2002. "Housing Prices, Bank Lending, and Monetary Policy," Macroeconomics 0209010, University Library of Munich, Germany.
    28. Chang, Chia-Chien, 2014. "Valuation Of Mortgage Insurance Contracts With Counterparty Default Risk: Reduced-Form Approach," ASTIN Bulletin, Cambridge University Press, vol. 44(2), pages 303-334, May.
    29. Wei, Yu & Cao, Yang, 2017. "Forecasting house prices using dynamic model averaging approach: Evidence from China," Economic Modelling, Elsevier, vol. 61(C), pages 147-155.
    30. Xin Janet Ge & Brendan Williams, 2015. "House Price Determinants in Sydney," ERES eres2015_230, European Real Estate Society (ERES).
    31. Ko, Byoung-Wook, 2018. "Dynamic patterns of dry bulk freight spot rates through the lens of a time-varying coefficient model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 319-330.
    32. Barot, Bharat & Takala, Kari, 1998. "House prices and inflation: a cointegration analysis for Finland and Sweden," Bank of Finland Research Discussion Papers 12/1998, Bank of Finland.
    33. Yiyang Gu, 2018. "What are the most important factors that influence the changes in London Real Estate Prices? How to quantify them?," Papers 1802.08238, arXiv.org.
    34. Hettihewa, Samanthala & Saha, Shrabani & Zhang, Hanxiong, 2018. "Does an aging population influence stock markets? Evidence from New Zealand," Economic Modelling, Elsevier, vol. 75(C), pages 142-158.
    35. Nikodem Szumilo & Edyta Laszkiewicz & Franz Fuerst, 2017. "The spatial impact of employment centres on housing markets," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 472-491, October.

  23. Xiaming Liu & Haiyan Song & Yingqi Wei & Peter Romilly, 1997. "Country characteristics and foreign direct investment in China: A panel data analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(2), pages 313-329, June.

    Cited by:

    1. Montserrat Álvarez, 2003. "Wholly-Owned Subsidiaries Versus Joint Ventures: The Determinant Factors in the Catalan Multinational Manufacturing Case," Working Papers 2003/5, Institut d'Economia de Barcelona (IEB).
    2. Peter Egger & Michael Pfaffermayr, 2004. "Distance, trade and FDI: a Hausman-Taylor SUR approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 227-246.
    3. Cuyvers, Ludo & Soeng, Reth & Plasmans, Joseph & Van Den Bulcke, Daniel, 2011. "Determinants of foreign direct investment in Cambodia," Journal of Asian Economics, Elsevier, vol. 22(3), pages 222-234, June.
    4. Guglielmo Maria Caporale & Carlos Pestana Barros & Bruno Damasio, 2013. "Foreign direct investment in the Asian economies," NCID Working Papers 10/2013, Navarra Center for International Development, University of Navarra.
    5. Yao, Shujie & Wei, Kailei, 2007. "Economic growth in the presence of FDI: The perspective of newly industrialising economies," Journal of Comparative Economics, Elsevier, vol. 35(1), pages 211-234, March.
    6. Shujie Yao & Zongyi Zhang, 2003. "Openness and Economic Performance: A Comparative Study of China and the Asian NIEs," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 1(1), pages 71-95.
    7. Kailei Wei & Shujie Yao & Aying Liu, 2008. "Foreign Direct Investment and Regional Inequality in China," WIDER Working Paper Series RP2008-94, World Institute for Development Economic Research (UNU-WIDER).
    8. Liu, Xiaming & Wang, Chengang & Wei, Yingqi, 2001. "Causal links between foreign direct investment and trade in China," China Economic Review, Elsevier, vol. 12(2-3), pages 190-202.
    9. Yingqi Wei & Xiaming Liu & David Parker & Kirit Vaidya, 1999. "The Regional Distribution of Foreign Direct Investment in China," Regional Studies, Taylor & Francis Journals, vol. 33(9), pages 857-867.
    10. Dreher, Axel & Nunnenkamp, Peter & Vadlamannati, Krishna Chaitanya, 2011. "The role of country-of-origin characteristics for foreign direct investment and technical cooperation in post-reform India," Kiel Working Papers 1708, Kiel Institute for the World Economy (IfW Kiel).
    11. Li, Donghui & Moshirian, Fariborz, 2004. "International investment in insurance services in the US," Journal of Multinational Financial Management, Elsevier, vol. 14(3), pages 249-260, July.
    12. Kayalvizhi, P.N. & Thenmozhi, M., 2018. "Does quality of innovation, culture and governance drive FDI?: Evidence from emerging markets," Emerging Markets Review, Elsevier, vol. 34(C), pages 175-191.
    13. Kailei Wei & Shujie Yao & Aying Liu, 2007. "Foreign direct investment and regional inequality in China," Discussion Papers 07/32, University of Nottingham, GEP.
    14. Saleh, Ali Salman & Anh Nguyen, Thi Lan & Vinen, Denis & Safari, Arsalan, 2017. "A new theoretical framework to assess Multinational Corporations’ motivation for Foreign Direct Investment: A case study on Vietnamese service industries," Research in International Business and Finance, Elsevier, vol. 42(C), pages 630-644.
    15. Gerald Epstein & Elissa Braunstein, 2002. "Bargaining Power and Foreign Direct Investment in China: Can 1.3 Billion Consumers Tame the Multinationals?," Working Papers wp45, Political Economy Research Institute, University of Massachusetts at Amherst.
    16. Barbara M. Roberts & Abdulaziz Almahmood, 2009. "Source Country Characteristics and the Inflow of Foreign Direct Investment into Saudi Arabia," The World Economy, Wiley Blackwell, vol. 32(12), pages 1730-1746, December.
    17. Ele Reiljan, 2001. "Determinants of foreign direct investment inflows in Estonia," University of Tartu - Faculty of Economics and Business Administration, in: Foreign Direct Investments in the Estonian Economy, volume 9, chapter 2, pages 31-90, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    18. Horridge, Mark & Ferreira-Filho, Joaquim Bento de Souza, 2003. "Linking GTAP to National Models: Some Highlights and a Practical Approach," Conference papers 331115, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    19. Omer Ali Ibrahim & Sufian Eltayeb Mohamed Abdel-Gadir, 2015. "Motives and Determinants of FDI: A VECM Analysis for Oman," Global Business Review, International Management Institute, vol. 16(6), pages 936-946, December.
    20. Jordán, Gyula, 2000. "A külföldi működőtőke szerepe Kína gazdaságában [The role of foreign direct investment in Chinas economy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 619-635.
    21. Chung-Khain Wye & Elya Nabila Abdul Bahri, 2021. "How does employment respond to minimum wage adjustment in China?," The Economic and Labour Relations Review, , vol. 32(1), pages 90-114, March.
    22. Stèphane Dees, 1998. "Foreign Direct Investment in China: Determinants and Effects," Economic Change and Restructuring, Springer, vol. 31(2), pages 175-194, May.
    23. Garavito-Acosta, Aarón Levi & Iregui-Bohórquez, Ana María & Ramírez-Giraldo, María Teresa, 2013. "Inversión extranjera directa en Colombia : evolución, indicadores y determinantes por firma," Chapters, in: Rincón-Castro, Hernán & Velasco, Andrés M. (ed.), Flujos de capitales, choques externos y respuestas de política en países emergentes, chapter 3, pages 83-136, Banco de la Republica de Colombia.
    24. Apergis Nicholas, 2008. "Foreign Direct Investment Inward and Foreign Direct Investment Outward: Evidence from Panel Unit Root and Cointegration Tests with a Certain Number of Structural Changes," Global Economy Journal, De Gruyter, vol. 8(1), pages 1-16, February.
    25. Wei, Wenhui, 2005. "China and India: Any difference in their FDI performances?," Journal of Asian Economics, Elsevier, vol. 16(4), pages 719-736, August.
    26. Wen, Jun & Yin, Hua-Tang & Jang, Chyi-Lu & Uchida, Hideaki & Chang, Chun-Ping, 2023. "Does corruption hurt green innovation? Yes – Global evidence from cross-validation," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    27. Jo-Hui Chen, 2005. "An Analysis of Industrial Characteristics and Incentives on Foreign Investment: The Case of Rapid Economic Growth in Taiwan," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 10(3), pages 89-107, Fall.
    28. Wu, Shih-Ying, 2006. "Corruption and cross-border investment by multinational firms," Journal of Comparative Economics, Elsevier, vol. 34(4), pages 839-856, December.
    29. CUYVERS, Ludo & PLASMANS, Joseph & SOENG, Reth & VAN DEN BULCKE, Daniël, 2008. "Determinants of foreign direct investment in Cambodia: Country-specific factor differentials," Working Papers 2008003, University of Antwerp, Faculty of Business and Economics.
    30. Shujie Yao, 2006. "On economic growth, FDI and exports in China," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 339-351.
    31. Abdul Karim, Noor Al-Huda & Winters, Paul C. & Coelli, Tim J. & Fleming, Euan M., 2003. "Foreign Direct Investment in Manufacturing Sector in Malaysia," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57903, Australian Agricultural and Resource Economics Society.
    32. Toure Mamoudou & Cédric Achille Mbeng Mezui, 2017. "Working Paper 271 - Facteurs déterminants des IDE en Afrique," Working Paper Series 2388, African Development Bank.
    33. Johnson, Andreas, 2006. "FDI and Exports: the case of the High Performing East Asian Economies," Working Paper Series in Economics and Institutions of Innovation 57, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    34. Aarón Garavito & Ana María Iregui & María Teresa Ramírez, 2014. "An Empirical Examination of the Determinants of Foreign Direct Investment: A Firm-Level Analysis for the Colombian Economy," Revista de Economía del Rosario, Universidad del Rosario, June.
    35. Montserrat Álvarez, 2003. "FDI Determinant Factors: The Case of Catalan Multinational Manufacturing Firms," Working Papers 2003/4, Institut d'Economia de Barcelona (IEB).
    36. Jian Min & Jiaojiao Zhu & Jian-Bo Yang, 2020. "The Risk Monitoring of the Financial Ecological Environment in Chinese Outward Foreign Direct Investment Based on a Complex Network," Sustainability, MDPI, vol. 12(22), pages 1-26, November.

  24. Xiaming Liu & Haiyan Song & Peter Romilly, 1997. "Are Chinese stock markets efficient? A cointegration and causality analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 4(8), pages 511-515.

    Cited by:

    1. Vieito, João Paulo & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Could the global financial crisis improve the performance of the G7 stocks markets?," MPRA Paper 66521, University Library of Munich, Germany.
    2. Emma Yan Peng & John Shon & Christine Tan, 2011. "XBRL and Accruals: Empirical Evidence from China," Accounting Perspectives, John Wiley & Sons, vol. 10(2), pages 109-138, June.
    3. Amélie Charles & Olivier Darné, 2009. "The random walk hypothesis for Chinese stock markets: Evidence from variance ratio tests," Post-Print hal-00771080, HAL.
    4. Kian-Ping Lim & Muzafar Shah Habibullah & Melvin J. Hinich, 2009. "The Weak-form Efficiency of Chinese Stock Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(2), pages 133-163, May.
    5. Madhavi Latha Challa & Venkataramanaiah Malepati & Siva Nageswara Rao Kolusu, 2020. "S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-19, December.
    6. Guglielmo Maria Caporale & Luis A. Gil-Alana & C. James Orlando, 2015. "Linkages between the US and European Stock Markets: A Fractional Cointegration Approach," CESifo Working Paper Series 5523, CESifo.
    7. Zhou, Wei-Xing & Sornette, Didier, 2004. "Antibubble and prediction of China's stock market and real-estate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(1), pages 243-268.
    8. Chan, Kam C. & Fung, Hung-Gay & Thapa, Samanta, 2007. "China financial research: A review and synthesis," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 416-428.
    9. Mubariz Hasanov & Tolga Omay, 2007. "Are the Transition Stock Markets Efficient? Evidence from Non-Linear Unit Root Tests," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 7(2), pages 1-12.
    10. Emmanouil Mavrakis & Christos Alexakis, 2018. "Statistical Arbitrage Strategies under Different Market Conditions: The Case of the Greek Banking Sector," Post-Print hal-01992513, HAL.
    11. Paresh Narayan & Arti Prasad, 2007. "Mean Reversion in Stock Prices: New Evidence from Panel Unit Root Tests for Seventeen European Countries," Economics Bulletin, AccessEcon, vol. 3(34), pages 1-6.
    12. Frank J. Fabozzi & Radu Tunaru & Tony Wu, 2004. "Modeling Volatility for the Chinese Equity Markets," Annals of Economics and Finance, Society for AEF, vol. 5(1), pages 79-92, May.
    13. Yan, Isabel K. & Chong, Terence & Lam, Tau-Hing, 2011. "Is the Chinese Stock Market Really Efficient," MPRA Paper 35219, University Library of Munich, Germany.
    14. Qing Cao & Mark Parry & Karyl Leggio, 2011. "The three-factor model and artificial neural networks: predicting stock price movement in China," Annals of Operations Research, Springer, vol. 185(1), pages 25-44, May.
    15. Xu, Mingli & Yang, Wei & Huang, Zhixiong, 2021. "Do investor relations matter in the tourism industry? Evidence from public opinions in China," Economic Modelling, Elsevier, vol. 94(C), pages 923-933.
    16. Ece C. KARADAGLI & Nazlı C. OMAY, 2012. "Testing Weak Form Market Efficiency Of Emerging Markets: A Nonlinear Approach," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(3(21)/ Fa), pages 235-245.
    17. Alexakis, Christos, 2010. "Long-run relations among equity indices under different market conditions: Implications on the implementation of statistical arbitrage strategies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(4), pages 389-403, October.
    18. Darrat, Ali F & Zhong, Maosen, 2000. "On Testing the Random-Walk Hypothesis: A Model-Comparison Approach," The Financial Review, Eastern Finance Association, vol. 35(3), pages 105-124, August.
    19. Omay, Nazli C. & Karadagli, Ece C., 2010. "Testing Weak Form Market Efficiency for Emerging Economies: A Nonlinear Approach," MPRA Paper 27312, University Library of Munich, Germany.
    20. Fang Chen & Jeffrey Jarrett, 2011. "Financial crisis and the market efficiency in the Chinese equity markets," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 16(3), pages 456-463.
    21. Li, Johnny Siu-Hang & Ng, Andrew C.Y. & Chan, Wai-Sum, 2015. "Managing financial risk in Chinese stock markets: Option pricing and modeling under a multivariate threshold autoregression," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 217-230.
    22. Narayan, Paresh Kumar, 2006. "The behaviour of US stock prices: Evidence from a threshold autoregressive model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 103-108.
    23. Chung-Hua Shen & Chien-Fu Chen & Li-Hsueh Chen, 2007. "An empirical study of the asymmetric cointegration relationships among the Chinese stock markets," Applied Economics, Taylor & Francis Journals, vol. 39(11), pages 1433-1445.
    24. Tsangyao Chang & Yang-Cheng Lu, 2006. "Equity Diversification in Two Chinese Share Markets: Old Wine and New Bottle," Economics Bulletin, AccessEcon, vol. 7(4), pages 1-7.
    25. Shujie Yao & Dan Luo & Stephen Morgan, 2008. "Shanghai Stock Exchange Composite Index and Bank Stock Prices in China: A Causality Analysis," Discussion Papers 08/25, University of Nottingham, GEP.
    26. Mayowa Gabriel Ajao & Richard Osayuwu, 2012. "Testing the Weak Form of Efficient Market Hypothesis in Nigerian Capital Market," Accounting and Finance Research, Sciedu Press, vol. 1(1), pages 169-169, May.
    27. Zouheir Mighri & Faysal Mansouri, 2016. "Asymmetric price transmission within the Argentinean stock market: an asymmetric threshold cointegration approach," Empirical Economics, Springer, vol. 51(3), pages 1115-1149, November.
    28. Buguk, Cumhur & Wade Brorsen, B., 2003. "Testing weak-form market efficiency: Evidence from the Istanbul Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 579-590.
    29. Siva Kiran & Prabhakar Rao.R, 2019. "Analysis of Stock Market Efficiency in Emerging Markets: Evidence from BRICS," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 22(72), pages 60-77, June.
    30. Xiao‐Ming Li, 2003. "China: Further Evidence on the Evolution of Stock Markets in Transition Economies," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(3), pages 341-358, August.
    31. Paresh Kumar Narayan, 2005. "Are the Australian and New Zealand stock prices nonlinear with a unit root?," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2161-2166.
    32. Majumder, Debasish, 2014. "Asset pricing for inefficient markets: Evidence from China and India," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 282-291.

  25. Song, Haiyan & Liu, Xiaming & Romilly, Peter, 1996. "A Time Varying Parameter Approach to the Chinese Aggregate Consumption Function," Economic Change and Restructuring, Springer, vol. 29(3), pages 185-203.

    Cited by:

    1. Guy Shaojia Liu & Haiyan Song, 2003. "A Dual-Price Demand Theory for Economies under Transition," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 1(2), pages 185-203.
    2. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
    3. Ahmad Farid Osman & Maxwell L. King, 2015. "A new approach to forecasting based on exponential smoothing with independent regressors," Monash Econometrics and Business Statistics Working Papers 2/15, Monash University, Department of Econometrics and Business Statistics.
    4. Federico Scarpa & Vincenzo Bianco, 2017. "Assessing the Quality of Natural Gas Consumption Forecasting: An Application to the Italian Residential Sector," Energies, MDPI, vol. 10(11), pages 1-13, November.
    5. Duo Qin, 2003. "Determinants of household savings in China and their role in quasi‐money supply," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 11(3), pages 513-537, September.
    6. Haiyan Song & Peter Romilly & Xiaming Liu, 1998. "The UK consumption function and structural instability: improving forecasting performance using a time-varying parameter approach," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 975-983.
    7. Qi, Li & Prime, Penelope B., 2009. "Market reforms and consumption puzzles in China," China Economic Review, Elsevier, vol. 20(3), pages 388-401, September.
    8. Gao, Lei & Mei, Bin, 2013. "Investor attention and abnormal performance of timberland investments in the United States," Forest Policy and Economics, Elsevier, vol. 28(C), pages 60-65.

Chapters

  1. Haiyan Song & Lindsay Turner, 2006. "Tourism Demand Forecasting," Chapters, in: Larry Dwyer & Peter Forsyth (ed.), International Handbook on the Economics of Tourism, chapter 3, Edward Elgar Publishing.

    Cited by:

    1. Albaladejo, Isabel P. & González-Martínez, María Isabel & Martínez-García, María Pilar, 2016. "Nonconstant reputation effect in a dynamic tourism demand model for Spain," Tourism Management, Elsevier, vol. 53(C), pages 132-139.

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