IDEAS home Printed from https://ideas.repec.org/a/jfr/bmr111/v2y2013i4p136-141.html
   My bibliography  Save this article

Study of Shanghai Residents Tourism Consumption Structure Based on the Tourism Engel Coefficient

Author

Listed:
  • Xiang Yan
  • Mingyuan Wu

Abstract

At present, China's tourism industry has been an unprecedented development, and the state also takes the development of tourism industry as a strategic pillar industry of the national economy. In contrast, data index evaluation system which reflects the development of tourism is not clear. As a high level of consumption, tourism has a specific relationship with residents¡¯ income and the change of Tourism Engel coefficient. Therefore, studying on Tourism Engel coefficient and finding out the intrinsic link between them, you can more accurately predict tourism demand trends, and further promote the healthy development of the tourism industry. This article will introduce Tourism Engel coefficient into tourism statistical indicators in the form of questionnaire, by studying the Shanghai residents' income levels and the relationship between tourism consumption, determining people's consumption concept, the consumption structure changes, the Shanghai people's consumption decisions theoretical and empirical analysis, provide the basis for the development of tourism-related policies.

Suggested Citation

  • Xiang Yan & Mingyuan Wu, 2013. "Study of Shanghai Residents Tourism Consumption Structure Based on the Tourism Engel Coefficient," Business and Management Research, Business and Management Research, Sciedu Press, vol. 2(4), pages 136-141, December.
  • Handle: RePEc:jfr:bmr111:v:2:y:2013:i:4:p:136-141
    as

    Download full text from publisher

    File URL: http://www.sciedupress.com/journal/index.php/bmr/article/download/3832/2259
    Download Restriction: no

    File URL: http://www.sciedupress.com/journal/index.php/bmr/article/view/3832
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Gibson, 2002. "Why Does the Engel Method Work? Food Demand, Economies of Size and Household Survey Methods," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 341-359, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sanae Tashiro, 2009. "Differences in Food Preparation by Race and Ethnicity: Evidence from the American Time Use Survey," The Review of Black Political Economy, Springer;National Economic Association, vol. 36(3), pages 161-180, December.
    2. Trevon D. Logan, 2011. "Economies Of Scale In The Household: Puzzles And Patterns From The American Past," Economic Inquiry, Western Economic Association International, vol. 49(4), pages 1008-1028, October.
    3. Jayasinghe, Maneka & Chai, Andreas & Ratnasiri, Shyama & Smith, Christine, 2017. "The power of the vegetable patch: How home-grown food helps large rural households achieve economies of scale & escape poverty," Food Policy, Elsevier, vol. 73(C), pages 62-74.
    4. Karbasi, A. & Mohammadzadeh, S.H., 2018. "Estimating Household Expenditure Economies of Scale in Iran," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277152, International Association of Agricultural Economists.
    5. Echeverría, Lucía & Molina, José Alberto, 2022. "Exploring household heterogeneities of the Deaton-Paxson puzzle: Evidence for Argentina," Nülan. Deposited Documents 3622, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    6. Conforti, Piero & Grünberger, Klaus & Troubat, Nathalie, 2017. "The impact of survey characteristics on the measurement of food consumption," Food Policy, Elsevier, vol. 72(C), pages 43-52.
    7. Niño-Zarazúa, Miguel & Chiripanhura, Blessing, 2013. "The impacts of the food, fuel and financial crises on households in Nigeria. A retrospective approach for research enquiry," MPRA Paper 47348, University Library of Munich, Germany.
    8. John Gibson & Kathleen Beegle & Joachim De Weerdt & Jed Friedman, 2015. "What does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(3), pages 466-474, June.
    9. Gibson, John, 2003. "Does Measurement Error Explain a Paradox About Household Size and Food Demand? Evidence from Variation in Household Survey Methods," 2003 Annual meeting, July 27-30, Montreal, Canada 22198, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Beegle, Kathleen & Carletto, Calogero & Himelein, Kristen, 2012. "Reliability of recall in agricultural data," Journal of Development Economics, Elsevier, vol. 98(1), pages 34-41.
    11. Blessing M. Chiripanhura & Miguel Niño-Zarazúa, 2016. "The impacts of the food, fuel and financial crises on poor and vulnerable households in Nigeria: A retrospective approach to research inquiry," Development Policy Review, Overseas Development Institute, vol. 34(6), pages 763-788, November.
    12. Brzozowski, Matthew & Crossley, Thomas F. & Winter, Joachim K., 2017. "Does survey recall error explain the Deaton–Paxson puzzle?," Economics Letters, Elsevier, vol. 158(C), pages 18-20.
    13. Laura E. McCann & Jeffrey D. Michler & Maybin Mwangala & Osaretin Olurotimi & Natalia Estrada Carmona, 2024. "Food Without Fire: Nutritional and Environmental Impacts from a Solar Stove Field Experiment," Papers 2410.02075, arXiv.org.
    14. Naeem Ahmed & Matthew Brzozowski & Thomas F. Crossley, 2005. "Measurement Errors in Recall Food Expenditure Data," Quantitative Studies in Economics and Population Research Reports 396, McMaster University.
    15. Schneider, Kate R., 2022. "Nationally representative estimates of the cost of adequate diets, nutrient level drivers, and policy options for households in rural Malawi," Food Policy, Elsevier, vol. 113(C).
    16. Xiangzheng Deng & John Gibson & Siqi Jia, 2018. "Does Expressway Consume More Land of the Agricultural Production Base of Shandong Province?," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1293-1316, December.
    17. Böhme, Marcus & Thiele, Rainer, 2012. "Is the Informal Sector Constrained from the Demand Side? Evidence for Six West African Capitals," World Development, Elsevier, vol. 40(7), pages 1369-1381.
    18. Perali, Federico, 2008. "The second Engel law: Is it a paradox?," European Economic Review, Elsevier, vol. 52(8), pages 1353-1377, November.
    19. Campos, Rodolfo G. & Reggio, Iliana, 2014. "Measurement error in imputation procedures," Economics Letters, Elsevier, vol. 122(2), pages 197-202.
    20. Brzozowski, Matthew & Crossley, Thomas F. & Winter, Joachim K., 2017. "A comparison of recall and diary food expenditure data," Food Policy, Elsevier, vol. 72(C), pages 53-61.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jfr:bmr111:v:2:y:2013:i:4:p:136-141. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Simon Lee (email available below). General contact details of provider: http://bmr.sciedupress.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.