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Libo Wu

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.

Working papers

  1. Qian, Haoqi & Wu, Libo & Tang, Weiqi, 2016. "“Lock-in” Effect of Emission Standard and Its Impact on the Choice of Market Based Instruments," MPRA Paper 72470, University Library of Munich, Germany.

    Cited by:

    1. Cao, Jing & Dai, Hancheng & Li, Shantong & Guo, Chaoyi & He, Jianwu & Ho, Mun & Cai, Wenjia & Li, Jifeng & Liu, Yu & Wang, Can & Wu, Libo & Zhang, Xiliang, 2020. "The General Equilibrium Impacts of Carbon Tax Policy in China: A Multi-model Assessment," Conference papers 333143, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Feng, Shenghao & Zhang, Keyu, 2018. "Fuel-factor nesting structures in CGE models of China," Energy Economics, Elsevier, vol. 75(C), pages 274-284.
    3. Lin, Boqiang & Jia, Zhijie, 2019. "What will China's carbon emission trading market affect with only electricity sector involvement? A CGE based study," Energy Economics, Elsevier, vol. 78(C), pages 301-311.
    4. Wei, Wendong & Cai, Wenqiu & Guo, Yi & Bai, Caiquan & Yang, Luzhen, 2020. "Decoupling relationship between energy consumption and economic growth in China's provinces from the perspective of resource security," Resources Policy, Elsevier, vol. 68(C).
    5. Lin, Boqiang & Jia, Zhijie, 2019. "How does tax system on energy industries affect energy demand, CO2 emissions, and economy in China?," Energy Economics, Elsevier, vol. 84(C).
    6. Lin, Boqiang & Jia, Zhijie, 2019. "Impacts of carbon price level in carbon emission trading market," Applied Energy, Elsevier, vol. 239(C), pages 157-170.
    7. Fang, Chenhao & Ma, Tieju, 2020. "Stylized agent-based modeling on linking emission trading systems and its implications for China's practice," Energy Economics, Elsevier, vol. 92(C).
    8. Du, Huibin & Li, Qun & Liu, Xi & Peng, Binbin & Southworth, Frank, 2021. "Costs and potentials of reducing CO2 emissions in China's transport sector: Findings from an energy system analysis," Energy, Elsevier, vol. 234(C).
    9. Cao, Jing & Dai, Hancheng & Li, Shantong & Guo, Chaoyi & Ho, Mun & Cai, Wenjia & He, Jianwu & Huang, Hai & Li, Jifeng & Liu, Yu & Qian, Haoqi & Wang, Can & Wu, Libo & Zhang, Xiliang, 2021. "The general equilibrium impacts of carbon tax policy in China: A multi-model comparison," Energy Economics, Elsevier, vol. 99(C).
    10. Wu, Libo & Zhou, Ying & Qian, Haoqi, 2022. "Global actions under the Paris agreement: Tracing the carbon leakage flow and pursuing countermeasures," Energy Economics, Elsevier, vol. 106(C).

  2. Libo Wu & Weiqi Tang, 2015. "Efficiency or Equity? Simulating the Carbon Emission Permits Trading Schemes in China Based on an Inter-Regional CGE Model," CCEP Working Papers 1505, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Yanni Yu & Weijie Zhang & Ning Zhang, 2018. "The Potential Gains from Carbon Emissions Trading in China’s Industrial Sectors," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1175-1194, December.
    2. Bin Ye & Jingjing Jiang & Lixin Miao & Dejun Xie, 2017. "Interprovincial allocation of China's national carbon emission allowance: an uncertainty analysis based on Monte-Carlo simulations," Climate Policy, Taylor & Francis Journals, vol. 17(4), pages 401-422, May.

  3. Libo Wu & Jing Li & ZhongXiang Zhang, 2011. "Inflationary effect of oil-price shocks in an imperfect market: a partial transmission input-output analysis," Economics Study Area Working Papers 115, East-West Center, Economics Study Area.

    Cited by:

    1. Yuwan Duan & Yanping Zhao & Jakob Haan, 2020. "Exchange Rate Pass-through in China: A Cost-Push Input-Output Price Model," Open Economies Review, Springer, vol. 31(3), pages 513-528, July.
    2. Többen, Johannes, 2017. "Regional Net Impacts and Social Distribution Effects of Promoting Renewable Energies in Germany," Ecological Economics, Elsevier, vol. 135(C), pages 195-208.
    3. John Baffes & M. Ayhan Kose & Franziska Ohnsorge & Marc Stocker, 2015. "The great plunge in oil prices: causes, consequences, and policy responses," CAMA Working Papers 2015-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Huang, Xuan & Liu, Xueyong, 2022. "The time-frequency evolution of multidimensional relations between global oil prices and China's general price level," Energy, Elsevier, vol. 244(PA).
    5. Claudiu Tiberiu Albulescu & Cornel Oros & Aviral Kumar Tiwari, 2017. "Oil price–inflation pass-through in Romania during the inflation targeting regime," Applied Economics, Taylor & Francis Journals, vol. 49(15), pages 1527-1542, March.
    6. Yang, Dong-Xiao & Wu, Bi-Bo & Tong, Jing-Yang, 2021. "Dynamics and causality of oil price shocks on commodities: Quantile-on-quantile and causality-in-quantiles methods," Resources Policy, Elsevier, vol. 74(C).
    7. Ma, Ning & Li, Huajiao & Zhang, Jinwei & Han, Xiaodan & Feng, Sida & Arif, Asma, 2021. "The short-term price effects and transmission mechanism of CO2 cost pass-through in China: A partial transmission model," Resources Policy, Elsevier, vol. 70(C).
    8. Zhu, Lei & Zhang, ZhongXiang & Fan, Ying, 2011. "An Evaluation of Overseas Oil Investment Projects under Uncertainty Using a Real Options Based Simulation Model," Climate Change and Sustainable Development 119106, Fondazione Eni Enrico Mattei (FEEM).
    9. Shi, Xunpeng & Sun, Sizhong, 2017. "Energy price, regulatory price distortion and economic growth: A case study of China," Energy Economics, Elsevier, vol. 63(C), pages 261-271.
    10. Pal, Debdatta & Mitra, Subrata Kumar, 2019. "Asymmetric oil price transmission to the purchasing power of the U.S. dollar: A multiple threshold NARDL modelling approach," Resources Policy, Elsevier, vol. 64(C).
    11. Damira Keček, 2023. "The Effects of Rising Energy Prices on Inflation in Croatia," Energies, MDPI, vol. 16(4), pages 1-14, February.
    12. Michał Przybyliński & Artur Gorzałczyński, 2022. "Applying the input–output price model to identify inflation processes," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-11, December.
    13. Ju, Yiyi & Fujikawa, Kiyoshi, 2019. "Modeling the cost transmission mechanism of the emission trading scheme in China," Applied Energy, Elsevier, vol. 236(C), pages 172-182.
    14. Nasir, Muhammad Ali & Al-Emadi, Ahmed Abdulsalam & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2019. "Importance of oil shocks and the GCC macroeconomy: A structural VAR analysis," Resources Policy, Elsevier, vol. 61(C), pages 166-179.
    15. Hao Xiao & Shuquan Li & Julien Chevallier & Bangzhu Zhu, 2017. "Electricity-Savings Pressure and Electricity-Savings Potential among China?s Inter-Provincial Manufacturing Sectors," Working Papers 2017-006, Department of Research, Ipag Business School.

  4. Tang, Weiqi & Wu, Libo & Zhang, ZhongXiang, 2009. "Oil price shocks and their short- and long-term effects on the Chinese economy," MPRA Paper 14703, University Library of Munich, Germany.

    Cited by:

    1. Imran Shah, 2012. "Revisiting the Dynamic Effects of Oil Price Shock on Small Developing Economies," Bristol Economics Discussion Papers 12/626, School of Economics, University of Bristol, UK.
    2. Nguyen Thi Ngoc Trang & Tran Ngoc Tho & Dinh Thi Thu Hong, 2017. "The Impact of Oil Price on the Growth, Inflation, Unemployment and Budget Deficit of Vietnam," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 42-49.
    3. Mehmet Balcilar & Reneé van Eyden & Josine Uwilingiye & Rangan Gupta, 2014. "The impact of oil price on South African GDP growth: A Bayesian Markov Switching-VAR analysis," Working Papers 201470, University of Pretoria, Department of Economics.
    4. Sun, Yunpeng & Gao, Pengpeng & Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2023. "The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach," Energy, Elsevier, vol. 270(C).
    5. Cross, Jamie & Nguyen, Bao H., 2017. "The relationship between global oil price shocks and China's output: A time-varying analysis," Energy Economics, Elsevier, vol. 62(C), pages 79-91.
    6. Lee, Chi-Chuan & Lee, Chien-Chiang & Ning, Shao-Lin, 2017. "Dynamic relationship of oil price shocks and country risks," Energy Economics, Elsevier, vol. 66(C), pages 571-581.
    7. Muhammad Arshad Khan & Ayaz Ahmed, 2011. "Macroeconomic Effects of Global Food and Oil Price Shocks to the Pakistan Economy: A Structural Vector Autoregressive (SVAR) Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 50(4), pages 491-511.
    8. Ayhan KAPUSUZOGLU & Xi LIANG & Nildag Basak CEYLAN, 2018. "Macroeconomic impacts of global food price shocks on the economy of Turkey," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(11), pages 517-525.
    9. Jamie L. Cross & Chenghan Hou & Bao H. Nguyen, 2018. "On the China factor in international oil markets: A regime switching approach," Working Papers No 11/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    10. Cunado, Juncal & Jo, Soojin & Perez de Gracia, Fernando, 2015. "Macroeconomic impacts of oil price shocks in Asian economies," Energy Policy, Elsevier, vol. 86(C), pages 867-879.
    11. Afees A. Salisu & Umar B. Ndako & Idris Adediran, 2018. "Forecasting GDP of OPEC: The role of oil price," Working Papers 044, Centre for Econometric and Allied Research, University of Ibadan.
    12. Zhang, Chuanguo & Chen, Xiaoqing, 2011. "The impact of global oil price shocks on China’s stock returns: Evidence from the ARJI(-ht)-EGARCH model," Energy, Elsevier, vol. 36(11), pages 6627-6633.
    13. Markus Brueckner & Haidi Hong & Joaquin Vespignani, 2023. "Regulation of Petrol and Diesel Prices and their Effects on GDP Growth: Evidence from China," CAMA Working Papers 2023-17, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. Mohammad I. Elian & Khalid M. Kisswani, 2018. "Oil price changes and stock market returns: cointegration evidence from emerging market," Economic Change and Restructuring, Springer, vol. 51(4), pages 317-337, November.
    15. Pradhan, Basanta K. & Ghosh, Joydeep & Yao, Yun-Fei & Liang, Qiao-Mei, 2017. "Carbon pricing and terms of trade effects for China and India: A general equilibrium analysis," Economic Modelling, Elsevier, vol. 63(C), pages 60-74.
    16. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic spillovers of oil price shocks and economic policy uncertainty," Energy Economics, Elsevier, vol. 44(C), pages 433-447.
    17. Devasmita Jena & Ishika Kataruka, 2022. "Monetary Response to Oil Price Shock in Asian Oil Importing Countries: Evaluation of Inflation Targeting Framework," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(4), pages 809-825, December.
    18. Andrew Jobling & Tooraj Jamasb, 2015. "Price Volatility and Demand for Oil: A Comparative Analysis of Developed and Developing Countries," Working Papers EPRG 1507, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    19. Umar Bala & Lee Chin, 2018. "Asymmetric Impacts of Oil Price on Inflation: An Empirical Study of African OPEC Member Countries," Energies, MDPI, vol. 11(11), pages 1-21, November.
    20. Shi, Wenming & Wang, Ganggang & Zhao, Xu & Feng, Xuehao & Wu, Jun, 2018. "Price determination in the electrolytic aluminum industry: The role of electricity prices," Resources Policy, Elsevier, vol. 59(C), pages 274-281.
    21. Khraief, Naceur & Shahbaz, Muhammad & Kumar Mahalik, Mantu & Bhattacharya, Mita, 2020. "Movements of oil prices and exchange rates in China and India: New evidence from wavelet-based, non-linear, autoregressive distributed lag estimations," MPRA Paper 103526, University Library of Munich, Germany, revised 13 Oct 2020.
    22. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
    23. Dhaoui, Elwardi, 2015. "La Chute Des Prix De Petrole : Quels Impacts Pour L’Economie Tunisienne ? [How falling oil prices impact tunisia’s economy ?]," MPRA Paper 70676, University Library of Munich, Germany.
    24. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Adeabah, David & Sahay, Vinita S., 2024. "Time-varying relationship between international monetary policy and energy markets," Energy Economics, Elsevier, vol. 131(C).
    25. Wensheng Kang & Ronald A. Ratti, 2015. "Oil shocks, policy uncertainty and stock returns in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(4), pages 657-676, October.
    26. Jean-Pierre Allegret & Cécile Couharde & Cyriac Guillaumin, 2012. "The Impact of External Shocks in East Asia: Lessons from a Structural VAR Model with Block Exogeneity," Post-Print hal-01385863, HAL.
    27. Degiannakis, Stavros & Filis, George & Arora, Vipin, 2018. "Oil Prices and Stock Markets: A Review of the Theory and Empirical Evidence," MPRA Paper 96270, University Library of Munich, Germany.
    28. Li, Rongrong & Li, Shuyu, 2021. "Carbon emission post-coronavirus: Continual decline or rebound?," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 57-67.
    29. S. S. Abere & T. O. Akinbobola, 2020. "External Shocks, Institutional Quality, and Macroeconomic Performance in Nigeria," SAGE Open, , vol. 10(2), pages 21582440209, May.
    30. John Baffes & M. Ayhan Kose & Franziska Ohnsorge & Marc Stocker, 2015. "The great plunge in oil prices: causes, consequences, and policy responses," CAMA Working Papers 2015-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    31. Taiwo Akinlo, 2024. "Oil price and real sector in oil-importing countries: an asymmetric analysis of sub-Saharan Africa," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-27, February.
    32. Solaymani, Saeed & Kari, Fatimah, 2013. "Environmental and economic effects of high petroleum prices on transport sector," Energy, Elsevier, vol. 60(C), pages 435-441.
    33. Al-mulali, Usama & Che Sab, Che Normee, 2010. "The Impact of Oil Shocks on Qatar’s GDP," MPRA Paper 27822, University Library of Munich, Germany, revised 31 Dec 2010.
    34. Farhan Ahmed & Muhammad Osama Daudpota & Muhammad Kashif, 2017. "Oil Price Shocks And Industry Level Production Using Vector Autoregression: Empirical Evidence From Pakistan," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 11(3), pages 13-25.
    35. Sophio Togonidze & Evzen Kocenda, 2020. "Macroeconomic Responses of Emerging Market Economies to Oil Price Shocks: Analysis by Region and Resource Profile," Working Papers IES 2020/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    36. Muhammad Arshad Khan & Ather Maqsood Ahmed, 2016. "Conducting Monetary Policy in South Asian Economies: An Investigation," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(3), pages 161-190.
    37. Bashiri Behmiri, Niaz & Pires Manso, José R., 2013. "How crude oil consumption impacts on economic growth of Sub-Saharan Africa?," Energy, Elsevier, vol. 54(C), pages 74-83.
    38. Tomasz Ingram & Monika Wieczorek-Kosmala & Karel Hlaváček, 2023. "Organizational Resilience as a Response to the Energy Crisis: Systematic Literature Review," Energies, MDPI, vol. 16(2), pages 1-35, January.
    39. Eren Yildiz & Merve Karacaer Ulusoy, 2015. "The Fragility of Turkish Economy from the Perspective of Oil Dependency," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 13(3 (Fall)), pages 253-266.
    40. Hong Thai Le & Marta Disegna, 2018. "Responses of macroeconomy and stock markets to structural oil price shocks: New evidence from Asian oil refinery," BAFES Working Papers BAFES25, Department of Accounting, Finance & Economic, Bournemouth University.
    41. Yijo Syaharuddin & Purwadi Purwadi & Alexander Sampeliling, 2021. "Attention of Economic Growth and Oil Prices: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 425-433.
    42. Singhal, Shelly & Ghosh, Sajal, 2016. "Returns and volatility linkages between international crude oil price, metal and other stock indices in India: Evidence from VAR-DCC-GARCH models," Resources Policy, Elsevier, vol. 50(C), pages 276-288.
    43. KILICARSLAN Zerrin & DUMRUL Yasemin, 2017. "Macroeconomic Impacts Of Oil Price Shocks: An Empirical Analysis Based On The Svar Models," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(5), pages 55-72, December.
    44. Muhammad Arshad Khan & Muhammad Iftikhar Ul Husnain & Qaisar Abbas & Syed Zulfiqar Ali Shah, 2019. "Asymmetric effects of oil price shocks on Asian economies: a nonlinear analysis," Empirical Economics, Springer, vol. 57(4), pages 1319-1350, October.
    45. Libo Wu & Jing Li & ZhongXiang Zhang, 2011. "Inflationary Effect of Oil-Price Shocks in an Imperfect Market: A Partial Transmission Input-output Analysis," Working Papers 2011.29, Fondazione Eni Enrico Mattei.
    46. Grzegorz Przekota & Anna Szczepańska-Przekota, 2022. "Pro-Inflationary Impact of the Oil Market—A Study for Poland," Energies, MDPI, vol. 15(9), pages 1-19, April.
    47. Ma, Rui & Xie, Xiao qin & Liu, Bin & Zhou, Fengjiao & Samsurijan, Mohamad Shaharudin bin, 2023. "Transmission to green economic development and the dependence on natural resources in China," Resources Policy, Elsevier, vol. 86(PB).
    48. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    49. Huang, Xuan & Liu, Xueyong, 2022. "The time-frequency evolution of multidimensional relations between global oil prices and China's general price level," Energy, Elsevier, vol. 244(PA).
    50. Nicholas Apergis & Alper Aslan & Goodness C. Aye & Rangan Gupta, 2014. "The Asymmetric Effect of Oil Price on Growth across US States," Working Papers 201459, University of Pretoria, Department of Economics.
    51. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
    52. Wei, Yanfeng & Guo, Xiaoying, 2016. "An empirical analysis of the relationship between oil prices and the Chinese macro-economy," Energy Economics, Elsevier, vol. 56(C), pages 88-100.
    53. Abdollahi, Hooman & Ebrahimi, Seyed Babak, 2020. "A new hybrid model for forecasting Brent crude oil price," Energy, Elsevier, vol. 200(C).
    54. Shahbaz, Muhammad & Ahmed, Khalid & Tiwari, Aviral Kumar & Jiao, Zhilun, 2019. "Resource Curse Hypothesis and Role of Oil Prices in USA," MPRA Paper 96633, University Library of Munich, Germany, revised 14 Oct 2019.
    55. Raza, Syed Ali & Shahbaz, Muhammad & Amir-ud-Din, Rafi & Sbia, Rashid & Shah, Nida, 2018. "Testing for wavelet based time-frequency relationship between oil prices and US economic activity," Energy, Elsevier, vol. 154(C), pages 571-580.
    56. Lee, Chi-Chuan & Lee, Chien-Chiang & Li, Yong-Yi, 2021. "Oil price shocks, geopolitical risks, and green bond market dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    57. Lee, Chi-Chuan & Lee, Chien-Chiang, 2019. "Oil price shocks and Chinese banking performance: Do country risks matter?," Energy Economics, Elsevier, vol. 77(C), pages 46-53.
    58. Alfredo Pereira & Rui Pereira, 2013. "Fossil fuel prices and the economic and budgetary challenges of a small energy-importing economy: the case of Portugal," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(3), pages 181-214, December.
    59. Fardous Alom, 2014. "Oil Price-Macroeconomic Relationship in Australia and New Zealand: Application of a Hidden Cointegration Technique," Institutions and Economies (formerly known as International Journal of Institutions and Economies), Faculty of Economics and Administration, University of Malaya, vol. 6(2), pages 105-128, July.
    60. Daniel Francois Meyer, 2018. "The Impact of Changes in Fuel Prices on Inflation and Economic Growth in South Africa," Proceedings of the 11th International RAIS Conference, November 19-20, 2018 010DM, Research Association for Interdisciplinary Studies.
    61. Gulzar Khan & Adiqa Kiani & Ather Maqsood Ahmed, 2017. "Globalization, Endogenous Oil Price Shocks and Chinese Economic Activity," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 22(2), pages 39-64, July-Dec.
    62. Yoomi Kim & Katsuya Tanaka & Shunji Matsuoka, 2020. "Environmental and economic effectiveness of the Kyoto Protocol," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-15, July.
    63. Claudiu Tiberiu Albulescu & Cornel Oros & Aviral Kumar Tiwari, 2017. "Oil price–inflation pass-through in Romania during the inflation targeting regime," Applied Economics, Taylor & Francis Journals, vol. 49(15), pages 1527-1542, March.
    64. Won Joong Kim & Shawkat Hammoudeh & Jun Seog Hyun & Rangan Gupta, 2014. "Oil Price Shocks and China’s Economy: Reactions of the Monetary Policy to Oil Price Shocks," Working Papers 201481, University of Pretoria, Department of Economics.
    65. Shahriyar Mukhtarov & Sannur Aliyev & Javid Zeynalov, 2020. "The Effects of Oil Prices on Macroeconomic Variables: Evidence from Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 72-80.
    66. Liu, Li & Wang, Yudong & Wu, Chongfeng & Wu, Wenfeng, 2016. "Disentangling the determinants of real oil prices," Energy Economics, Elsevier, vol. 56(C), pages 363-373.
    67. Wang, Kai-Hua & Su, Chi-Wei & Xiao, Yidong & Liu, Lu, 2022. "Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective," Energy, Elsevier, vol. 240(C).
    68. Tuzova, Yelena & Qayum, Faryal, 2016. "Global oil glut and sanctions: The impact on Putin’s Russia," Energy Policy, Elsevier, vol. 90(C), pages 140-151.
    69. Farhad Farhad Taghizadeh-Hesary, 2015. "Macroeconomic effects of oil price fluctuations on emerging and developed economies in a model incorporating monetary variables," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(2), pages 51-75.
    70. Xiangcai Meng, 2018. "Does Agricultural Commodity Price Co-move with Oil Price in the Time-Frequency Space? Evidence from the Republic of Korea," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 125-133.
    71. Huang, Wen-Hsiu & Chao, Ming-Che, 2012. "The effects of oil prices on the price indices in Taiwan: International or domestic oil prices matter?," Energy Policy, Elsevier, vol. 45(C), pages 730-738.
    72. Dipesh Karki & Hari Gopal Risal, 2019. "Asymmetric Impact of Oil Price on Inflation: Evidence from Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 31(1), pages 21-46, April.
    73. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic Spillovers of Oil Price Shocks and Policy Uncertainty," Department of Economics Working Paper Series 166, WU Vienna University of Economics and Business.
    74. Chen, Chun-Da & Cheng, Chiao-Ming & Demirer, Rıza, 2017. "Oil and stock market momentum," Energy Economics, Elsevier, vol. 68(C), pages 151-159.
    75. Alom, Fardous, 2011. "Economic Effects of Oil and Food Price Shocks in Asia and Pacific Countries: An Application of SVAR Model," 2011 Conference, August 25-26, 2011, Nelson, New Zealand 115346, New Zealand Agricultural and Resource Economics Society.
    76. Kocaarslan, Baris & Soytas, Mehmet Ali & Soytas, Ugur, 2020. "The asymmetric impact of oil prices, interest rates and oil price uncertainty on unemployment in the US," Energy Economics, Elsevier, vol. 86(C).
    77. Sina J. Ogede & Emmanuel O. George & Ibrahim A. Adekunle, 2020. "Exploring the Inflationary Effect of Oil Price Volatility in Africa's Oil Exporting Countries," Research Africa Network Working Papers 20/020, Research Africa Network (RAN).
    78. Long, Shaobo & Pei, Hongxia & Tian, Hao & Li, Fangfang, 2021. "Asymmetric impacts of economic policy uncertainty, capital cost, and raw material cost on China’s investment," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 129-144.
    79. Maku Olukayode E. & Ogede Jimoh S. & Osisanwo Bukonla G., 2021. "Oil Price and Macroeconomic Fundamentals in African Net Oil-Exporting Countries: Evidence from Toda–Yamamoto and Homogeneous Causality Tests," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 9(1), pages 102-114, September.
    80. Zhang, Qi & Hu, Yi & Jiao, Jianbin & Wang, Shouyang, 2023. "Is refined oil price regulation a “shock absorber” for crude oil price shocks?," Energy Policy, Elsevier, vol. 173(C).
    81. Sawuya Nakijoba, 2018. "Determinants of Nominal Effective Exchange Rate in Uganda (2000-2017): A Vecm Approach," Applied Economics and Finance, Redfame publishing, vol. 5(5), pages 45-58, September.
    82. Kashif Zaheer Malik & Haram Ajmal & Muhammad Umer Zahid, 2017. "Oil Price Shock and its Impact on the Macroeconomic Variables of Pakistan: A Structural Vector Autoregressive Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 7(5), pages 83-92.
    83. Onur POLAT, 2018. "The Interaction between Oil Price and Financial Stress: Evidence from the U.S. Data," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 3.
    84. Shahbaz, Muhammad, 2017. "Current Issues in Time-Series Analysis for the Energy-Growth Nexus; Asymmetries and Nonlinearities Case Study: Pakistan," MPRA Paper 82221, University Library of Munich, Germany, revised 19 Oct 2017.
    85. Rehman, Mobeen Ur, 2018. "Do oil shocks predict economic policy uncertainty?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 123-136.
    86. Xuluo Yin & Xuan Xu & Qi Chen & Jiangang Peng, 2019. "The Sustainable Development of Financial Inclusion: How Can Monetary Policy and Economic Fundamental Interact with It Effectively?," Sustainability, MDPI, vol. 11(9), pages 1-14, May.
    87. Zhang, Dayong & Broadstock, David C. & Cao, Hong, 2014. "International oil shocks and household consumption in China," Energy Policy, Elsevier, vol. 75(C), pages 146-156.
    88. Jorge Blazquez & Jose Maria Martin-Moreno & Rafaela Perez & Jesus Ruiz, 2017. "Fossil Fuel Price Shocks and CO2 Emissions: The Case of Spain," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    89. Ju, Keyi & Su, Bin & Zhou, Dequn & Zhang, Yuqiang, 2016. "An incentive-oriented early warning system for predicting the co-movements between oil price shocks and macroeconomy," Applied Energy, Elsevier, vol. 163(C), pages 452-463.
    90. Ju, Keyi & Su, Bin & Zhou, Dequn & Wu, Junmin, 2017. "Does energy-price regulation benefit China's economy and environment? Evidence from energy-price distortions," Energy Policy, Elsevier, vol. 105(C), pages 108-119.
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    21. Jing Xing & Clemens Fuest, 2018. "Central-local government fiscal relations and cyclicality of public spending: evidence from China," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 25(4), pages 946-980, August.
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    28. Daniele Girardi & Riccardo Pariboni, 2020. "Autonomous demand and the investment share," Review of Keynesian Economics, Edward Elgar Publishing, vol. 8(3), pages 428-453, July.
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Articles

  1. Sun, Kege & Wu, Libo, 2020. "Efficiency distortion of the power generation sector under the dual regulation of price and quantity in China," Energy Economics, Elsevier, vol. 86(C).

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    1. Yu, Bolin & Fang, Debin & Meng, Jingxuan, 2021. "Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China," Energy, Elsevier, vol. 234(C).
    2. Jia, Zhijie & Lin, Boqiang, 2023. "Primary fossil energy cost and price regulation in energy processing sectors---the perspective of price regulation market with Chinese characteristics," Resources Policy, Elsevier, vol. 83(C).
    3. Li, Gao & Ruonan, Li & Yingdan, Mei & Xiaoli, Zhao, 2022. "Improve technical efficiency of China's coal-fired power enterprises: Taking a coal-fired-withdrawl context," Energy, Elsevier, vol. 252(C).
    4. Shen, Bo & Hove, Anders & Hu, Junfeng & Dupuy, Max & Bregnbæk, Lars & Zhang, Yuejun & Zhang, Ning, 2024. "Coping with power crises under decarbonization: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    5. Yonghong Ma & Huili Ni & Xiaomeng Yang & Lingkai Kong & Chunmei Liu, 2023. "Government subsidies and total factor productivity of enterprises: a life cycle perspective," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(1), pages 153-188, April.
    6. Hou, Zheng & Roseta-Palma, Catarina & Ramalho, Joaquim J.S., 2024. "Can operational efficiency in the Portuguese electricity sector be improved? Yes, but..," Energy Policy, Elsevier, vol. 190(C).
    7. Qiao, Sen & Chen, Hsing Hung & Zhang, Rong Rong, 2021. "Examining the impact of factor price distortions and social welfare on innovation efficiency from the microdata of Chinese renewable energy industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).

  2. Haoqi Qian & Libo Wu, 2020. "Avoiding Mis-estimation of the CES Function: Unit Matters," Applied Economics, Taylor & Francis Journals, vol. 52(19), pages 2056-2062, April.

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    1. Michael Knoblach & Fabian Stöckl, 2020. "What Determines The Elasticity Of Substitution Between Capital And Labor? A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 847-875, September.
    2. Wu, Libo & Zhang, Shuaishuai & Qian, Haoqi, 2022. "Distributional effects of China's National Emissions Trading Scheme with an emphasis on sectoral coverage and revenue recycling," Energy Economics, Elsevier, vol. 105(C).
    3. Wu, Libo & Zhou, Ying & Qian, Haoqi, 2022. "Global actions under the Paris agreement: Tracing the carbon leakage flow and pursuing countermeasures," Energy Economics, Elsevier, vol. 106(C).

  3. Yating Li & William A. Pizer & Libo Wu, 2019. "Climate change and residential electricity consumption in the Yangtze River Delta, China," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(2), pages 472-477, January.

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    1. Qin, Pengcheng & Xu, Hongmei & Liu, Min & Xiao, Chan & Forrest, Kate E. & Samuelsen, Scott & Tarroja, Brian, 2020. "Assessing concurrent effects of climate change on hydropower supply, electricity demand, and greenhouse gas emissions in the Upper Yangtze River Basin of China," Applied Energy, Elsevier, vol. 279(C).
    2. Miaomiao Niu & Guohao Li, 2022. "The Impact of Climate Change Risks on Residential Consumption in China: Evidence from ARMAX Modeling and Granger Causality Analysis," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    3. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
    4. Lanlan Li & Xinpei Song & Jingjing Li & Ke Li & Jianling Jiao, 2023. "The impacts of temperature on residential electricity consumption in Anhui, China: does the electricity price matter?," Climatic Change, Springer, vol. 176(3), pages 1-26, March.
    5. Yoo, Jonghyun & Eom, Jiyong & Zhou, Yuyu, 2024. "Thermal comfort and retail sales: A big data analysis of extreme temperature's impact on brick-and-mortar stores," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    6. Jones, Andrew & Nock, Destenie & Samaras, Constantine & Qiu, Yueming (Lucy) & Xing, Bo, 2023. "Climate change impacts on future residential electricity consumption and energy burden: A case study in Phoenix, Arizona," Energy Policy, Elsevier, vol. 183(C).
    7. Qi, Yu & Zhang, Hongxuan & Shao, Shuai, 2024. "Valuing high temperature's fiscal costs: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 134-152.
    8. Bedi, Jatin & Toshniwal, Durga, 2021. "Can electricity demand lead to air pollution? A spatio-temporal analysis of electricity demand with climatic conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    9. Cuihui Xia & Tandong Yao & Weicai Wang & Wentao Hu, 2022. "Effect of Climate on Residential Electricity Consumption: A Data-Driven Approach," Energies, MDPI, vol. 15(9), pages 1-20, May.
    10. Yaqing Sheng & Jinpeng Liu & Delin Wei & Xiaohua Song, 2021. "Heterogeneous Study of Multiple Disturbance Factors Outside Residential Electricity Consumption: A Case Study of Beijing," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    11. Lin, Jianing & Bao, Minglei & Liang, Ziyang & Sang, Maosheng & Ding, Yi, 2022. "Spatio-temporal evaluation of electricity price risk considering multiple uncertainties under extreme cold weather," Applied Energy, Elsevier, vol. 328(C).
    12. Du, Kerui & Yu, Ying & Wei, Chu, 2020. "Climatic impact on China's residential electricity consumption: Does the income level matter?," China Economic Review, Elsevier, vol. 63(C).
    13. Zhang, Xin & Chen, Fanglin & Chen, Zhongfei & Zhang, Jie, 2024. "Temperature exposure and health inequality," Journal of Asian Economics, Elsevier, vol. 92(C).
    14. Wang, Zhaohua & Ma, Junhua & Zhang, Bin & Yang, Yuantao & Wang, Bo & Zhao, Wenhui, 2023. "Does high speed railway alleviate housing vacancy rates? Evidence from smart meter data of household electricity consumption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    15. Jia, Jun-Jun & Ni, Jinlan & Wei, Chu, 2023. "Residential responses to service-specific electricity demand: Case of China," China Economic Review, Elsevier, vol. 78(C).
    16. Cui, Xiaomeng & Gafarov, Bulat & Ghanem, Dalia & Kuffner, Todd, 2024. "On model selection criteria for climate change impact studies," Journal of Econometrics, Elsevier, vol. 239(1).
    17. Yu, Xiumei & Lei, Xiaoyan & Wang, Min, 2019. "Temperature effects on mortality and household adaptation: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 195-212.
    18. Zuo, Jingping & Qian, Cuncun & Su, Bing & Ji, Hao & Xu, Yang & Peng, Zhipeng, 2024. "Evaluation of future renewable energy drought risk in China based on CMIP6," Renewable Energy, Elsevier, vol. 225(C).
    19. Guo, Zhifeng & O'Hanley, Jesse R. & Gibson, Stuart, 2022. "Predicting residential electricity consumption patterns based on smart meter and household data: A case study from the Republic of Ireland," Utilities Policy, Elsevier, vol. 79(C).
    20. Shi, Han & Wang, Bo & Qiu, Yueming Lucy & Deng, Nana & Xie, Baichen & Zhang, Bin & Ma, Shijun, 2024. "The unequal impacts of extremely high temperatures on households’ adaptive behaviors: Empirical evidence from fine-grained electricity consumption data," Energy Policy, Elsevier, vol. 190(C).
    21. Liang, Jing & Qiu, Jiehong & Wang, Xiangrui & Wu, Jikai & Yang, Sansi & Zhou, You, 2024. "Examining energy inequality: The impact of household wealth on heterogeneous response to temperatures," Energy Policy, Elsevier, vol. 190(C).
    22. Meixuan Teng & Hua Liao & Paul J. Burke & Tianqi Chen & Chen Zhang, 2022. "Adaptive responses: the effects of temperature levels on residential electricity use in China," Climatic Change, Springer, vol. 172(3), pages 1-20, June.
    23. Chen, Haitao & Zhang, Bin & Liu, Hua & Cao, Jiguo, 2024. "The inequality in household electricity consumption due to temperature change: Data driven analysis with a function-on-function linear model," Energy, Elsevier, vol. 288(C).
    24. Shi, Zhengyu & Wu, Libo & Zhou, Yang, 2023. "Predicting household energy consumption in an aging society," Applied Energy, Elsevier, vol. 352(C).
    25. Gongyi Zhang & Chang Zhang & Hongguang Nie, 2021. "An Overview of China’s Energy Labeling Policy Portfolio: China’s Contribution to Addressing the Global Goal of Sustainable Development," SAGE Open, , vol. 11(1), pages 21582440209, January.
    26. d’Adda, Giovanna & Gao, Yu & Golman, Russell & Tavoni, Massimo, 2024. "Strategic information avoidance, belief manipulation and the effectiveness of green nudges," Ecological Economics, Elsevier, vol. 222(C).
    27. Bo wang & Nana Deng & Wenhui Zhao & Zhaohua Wang, 2022. "Residential power demand side management optimization based on fine-grained mixed frequency data," Annals of Operations Research, Springer, vol. 316(1), pages 603-622, September.
    28. Zhang, Guoxing & Shen, Lin & Su, Bin, 2023. "Temperature change and daily urban-rural residential electricity consumption in northwestern China: Responsiveness and inequality," Energy Economics, Elsevier, vol. 126(C).
    29. Zheng, Shuguang & Huang, Guohe & Zhou, Xiong & Zhu, Xiaohang, 2020. "Climate-change impacts on electricity demands at a metropolitan scale: A case study of Guangzhou, China," Applied Energy, Elsevier, vol. 261(C).
    30. Deng, Nana & Wang, Bo & Wang, Zhaohua, 2023. "Does targeted poverty alleviation improve households’ adaptation to hot weathers: Evidence from electricity consumption of poor households," Energy Policy, Elsevier, vol. 183(C).
    31. Jiang, Lei & Yang, Yue & Wu, Qingyang & Yang, Linshuang & Yang, Zaoli, 2024. "Hotter days, dirtier air: The impact of extreme heat on energy and pollution intensity in China," Energy Economics, Elsevier, vol. 130(C).
    32. Chenghao Wang & Jiyun Song & Dachuan Shi & Janet L. Reyna & Henry Horsey & Sarah Feron & Yuyu Zhou & Zutao Ouyang & Ying Li & Robert B. Jackson, 2023. "Impacts of climate change, population growth, and power sector decarbonization on urban building energy use," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    33. Tan-Soo, Jie-Sheng & Li, Jun & Qin, Ping, 2023. "Individuals' and households' climate adaptation and mitigation behaviors: A systematic review," China Economic Review, Elsevier, vol. 77(C).
    34. Stephanie A. Siehr & Minmin Sun & José Luis Aranda Nucamendi, 2022. "Blue‐green infrastructure for climate resilience and urban multifunctionality in Chinese cities," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(5), September.
    35. Zheng Wang & Shaojian Wang & Chuanhao Lu & Lei Hu, 2022. "Which Factors Influence the Regional Difference of Urban–Rural Residential CO 2 Emissions? A Case Study by Cross-Regional Panel Analysis in China," Land, MDPI, vol. 11(5), pages 1-19, April.
    36. Musammat Shahinara Begum & Sujit Kumar Bala & A.K.M. Saiful Islam & Debjit Roy, 2021. "Environmental and Social Dynamics of Urban Rooftop Agriculture (URTA) and Their Impacts on Microclimate Change," Sustainability, MDPI, vol. 13(16), pages 1-26, August.
    37. Tamara Sofía Propato & Diego Abelleyra & María Semmartin & Santiago R. Verón, 2021. "Differential sensitivities of electricity consumption to global warming across regions of Argentina," Climatic Change, Springer, vol. 166(1), pages 1-18, May.
    38. Wang, Bo & Deng, Nana & Li, Haoxiang & Zhao, Wenhui & Liu, Jie & Wang, Zhaohua, 2021. "Effect and mechanism of monetary incentives and moral suasion on residential peak-hour electricity usage," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    39. Jian Cui & Lunyu Xie & Xinye Zheng, 2023. "Climate change, air conditioning, and urbanization—evidence from daily household electricity consumption data in China," Climatic Change, Springer, vol. 176(8), pages 1-19, August.
    40. Paweł Brzustewicz & Anupam Singh, 2021. "Sustainable Consumption in Consumer Behavior in the Time of COVID-19: Topic Modeling on Twitter Data Using LDA," Energies, MDPI, vol. 14(18), pages 1-20, September.
    41. Chen, Haitao & Zhang, Bin & Wang, Zhaohua, 2022. "Hidden inequality in household electricity consumption: Measurement and determinants based on large-scale smart meter data," China Economic Review, Elsevier, vol. 71(C).
    42. Sun, Yefei & Wang, Zhaohua & Yang, Tian & Zhang, Bin & Wang, Bo, 2023. "Polycentric cities and income polarization in China: Does city spatial structure matter?," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 380-387.
    43. Hongliang Zhang & Jianhong E. Mu & Bruce A. McCarl & Jialing Yu, 2022. "The impact of climate change on global energy use," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(1), pages 1-19, January.
    44. Kamal Chapagain & Somsak Kittipiyakul & Pisut Kulthanavit, 2020. "Short-Term Electricity Demand Forecasting: Impact Analysis of Temperature for Thailand," Energies, MDPI, vol. 13(10), pages 1-29, May.
    45. Li, Lanlan & Ming, Huayang & Fu, Weizhong & Shi, Quan & Yu, Shiwei, 2021. "Exploring household natural gas consumption patterns and their influencing factors: An integrated clustering and econometric method," Energy, Elsevier, vol. 224(C).
    46. Wang, Zhaohua & Li, Hao & Deng, Nana & Cheng, Kaiwei & Lu, Bin & Zhang, Bin & Wang, Bo, 2020. "How to effectively implement an incentive-based residential electricity demand response policy? Experience from large-scale trials and matching questionnaires," Energy Policy, Elsevier, vol. 141(C).
    47. Li, Xue & Smyth, Russell & Xin, Guangyi & Yao, Yao, 2023. "Warmer temperatures and energy poverty: Evidence from Chinese households," Energy Economics, Elsevier, vol. 120(C).
    48. Minseok Jang & Hyun Cheol Jeong & Taegon Kim & Dong Hee Suh & Sung-Kwan Joo, 2021. "Empirical Analysis of the Impact of COVID-19 Social Distancing on Residential Electricity Consumption Based on Demographic Characteristics and Load Shape," Energies, MDPI, vol. 14(22), pages 1-15, November.

  4. Zhou, Yang & Ma, Rong & Su, Yun & Wu, Libo, 2019. "Too big to change: How heterogeneous firms respond to time-of-use electricity price," China Economic Review, Elsevier, vol. 58(C).

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    1. Wang, Jinda & Sun, Chunhua & Qi, Chengying & Zhou, Zhigang & Zhao, Jianing & Zheng, Jinfu, 2021. "Promoting the performance of district heating from waste heat recovery in China: A general solving framework based on the two-stage branch evaluation method," Energy, Elsevier, vol. 220(C).
    2. Zhang, Chonghui & Wang, Zhen & Su, Weihua & Dalia, Streimikiene, 2024. "Differentiated power rationing or seasonal power price? Optimal power allocation solution for Chinese industrial enterprises based on the CSW-DEA model," Applied Energy, Elsevier, vol. 353(PB).
    3. Silvana Tiedemann & Raffaele Sgarlato & Lion Hirth, 2023. "Price elasticity of electricity demand: Using instrumental variable regressions to address endogeneity and autocorrelation of high-frequency time series," Papers 2306.12863, arXiv.org.
    4. Jia, Zhijie & Lin, Boqiang & Wen, Shiyan, 2022. "Electricity market Reform: The perspective of price regulation and carbon neutrality," Applied Energy, Elsevier, vol. 328(C).

  5. Zhou, Yang & Zhang, Shuaishuai & Wu, Libo & Tian, Yingjie, 2019. "Predicting sectoral electricity consumption based on complex network analysis," Applied Energy, Elsevier, vol. 255(C).

    Cited by:

    1. Xiangpeng Zhan & Xiaorui Qian & Wei Liu & Xinru Liu & Yuying Chen & Liang Zhang & Huawei Hong & Yimin Shen & Kai Xiao, 2024. "Predicting Industrial Electricity Consumption Using Industry–Geography Relationships: A Graph-Based Machine Learning Approach," Energies, MDPI, vol. 17(17), pages 1-16, August.
    2. Haoqi Qian & Zhengyu Shi & Libo Wu, 2021. "Inferring Economic Condition Uncertainty from Electricity Big Data," Papers 2107.11593, arXiv.org, revised May 2023.
    3. Chen, Ying & Koch, Thorsten & Zakiyeva, Nazgul & Zhu, Bangzhu, 2020. "Modeling and forecasting the dynamics of the natural gas transmission network in Germany with the demand and supply balance constraint," Applied Energy, Elsevier, vol. 278(C).
    4. Atif Maqbool Khan & Artur Wyrwa, 2024. "A Survey of Quantitative Techniques in Electricity Consumption—A Global Perspective," Energies, MDPI, vol. 17(19), pages 1-38, September.
    5. Du, Yuxian & Lin, Xi & Pan, Ye & Chen, Zhaoxin & Xia, Huan & Luo, Qian, 2023. "Identifying influential airports in airline network based on failure risk factors with TOPSIS," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    6. Zhang, Shuaishuai & Wu, Libo & Zhou, Yang, 2020. "The impact of negative list policy on sectoral structure: Based on complex network and DID analysis," Applied Energy, Elsevier, vol. 278(C).
    7. Haben, Stephen & Arora, Siddharth & Giasemidis, Georgios & Voss, Marcus & Vukadinović Greetham, Danica, 2021. "Review of low voltage load forecasting: Methods, applications, and recommendations," Applied Energy, Elsevier, vol. 304(C).

  6. Zhou, Yang & Shi, Zhixiong & Shi, Zhengyu & Gao, Qing & Wu, Libo, 2019. "Disaggregating power consumption of commercial buildings based on the finite mixture model," Applied Energy, Elsevier, vol. 243(C), pages 35-46.

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    1. Pamulapati, Trinadh & Mallipeddi, Rammohan & Lee, Minho, 2020. "Multi-objective home appliance scheduling with implicit and interactive user satisfaction modelling," Applied Energy, Elsevier, vol. 267(C).
    2. Anatolijs Borodinecs & Arturs Palcikovskis & Andris Krumins & Deniss Zajecs & Kristina Lebedeva, 2024. "Assessment of HVAC Performance and Savings in Office Buildings Using Data-Driven Method," Clean Technol., MDPI, vol. 6(2), pages 1-12, June.
    3. Shi, Zhengyu & Wu, Libo & Zhou, Yang, 2023. "Predicting household energy consumption in an aging society," Applied Energy, Elsevier, vol. 352(C).
    4. Khalilnejad, Arash & French, Roger H. & Abramson, Alexis R., 2020. "Data-driven evaluation of HVAC operation and savings in commercial buildings," Applied Energy, Elsevier, vol. 278(C).
    5. Jia, Mengshuo & Huang, Shaowei & Wang, Zhiwen & Shen, Chen, 2021. "Privacy-preserving distributed parameter estimation for probability distribution of wind power forecast error," Renewable Energy, Elsevier, vol. 163(C), pages 1318-1332.
    6. Himeur, Yassine & Alsalemi, Abdullah & Bensaali, Faycal & Amira, Abbes, 2020. "Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree," Applied Energy, Elsevier, vol. 267(C).
    7. Seuk Yen Phoong & Shi Ling Khek & Seuk Wai Phoong, 2022. "The Bibliometric Analysis on Finite Mixture Model," SAGE Open, , vol. 12(2), pages 21582440221, May.
    8. Himeur, Yassine & Alsalemi, Abdullah & Bensaali, Faycal & Amira, Abbes, 2020. "Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction," Applied Energy, Elsevier, vol. 279(C).

  7. Haoqi, Qian & Libo, Wu & Weiqi, Tang, 2017. "“Lock-in” effect of emission standard and its impact on the choice of market based instruments," Energy Economics, Elsevier, vol. 63(C), pages 41-50.
    See citations under working paper version above.
  8. Wu, Libo & Huo, Hong, 2014. "Energy efficiency achievements in China׳s industrial and transport sectors: How do they rate?," Energy Policy, Elsevier, vol. 73(C), pages 38-46.

    Cited by:

    1. Zheng Guo & Pei Liu & Linwei Ma & Zheng Li, 2015. "Effects of Low-Carbon Technologies and End-Use Electrification on Energy-Related Greenhouse Gases Mitigation in China by 2050," Energies, MDPI, vol. 8(7), pages 1-24, July.
    2. Wang, Juan & Hu, Mingming & Rodrigues, João F.D., 2018. "The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis," Applied Energy, Elsevier, vol. 228(C), pages 2195-2206.
    3. He, Yong & Liao, Nuo & Zhou, Ya, 2018. "Analysis on provincial industrial energy efficiency and its influencing factors in China based on DEA-RS-FANN," Energy, Elsevier, vol. 142(C), pages 79-89.
    4. Liao, Nuo & He, Yong, 2018. "Exploring the effects of influencing factors on energy efficiency in industrial sector using cluster analysis and panel regression model," Energy, Elsevier, vol. 158(C), pages 782-795.
    5. Wu, Kaiyao & Shi, Jiyuan & Yang, Tinggan, 2017. "Has energy efficiency performance improved in China?—non-energy sectors evidence from sequenced hybrid energy use tables," Energy Economics, Elsevier, vol. 67(C), pages 169-181.
    6. Liu, Nan & Ma, Zujun & Kang, Jidong, 2015. "Changes in carbon intensity in China's industrial sector: Decomposition and attribution analysis," Energy Policy, Elsevier, vol. 87(C), pages 28-38.
    7. Lei Jiang & Minhe Ji, 2016. "China’s Energy Intensity, Determinants and Spatial Effects," Sustainability, MDPI, vol. 8(6), pages 1-15, June.
    8. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    9. Xu, Bin & Lin, Boqiang, 2016. "Differences in regional emissions in China's transport sector: Determinants and reduction strategies," Energy, Elsevier, vol. 95(C), pages 459-470.
    10. Niu, Shuwen & Liu, Yiyue & Ding, Yongxia & Qu, Wei, 2016. "China׳s energy systems transformation and emissions peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 782-795.
    11. Zha, Donglan & Kavuri, Anil Savio & Si, Songjian, 2017. "Energy biased technology change: Focused on Chinese energy-intensive industries," Applied Energy, Elsevier, vol. 190(C), pages 1081-1089.
    12. Li, Fangyi & Cai, Bofeng & Ye, Zhaoyang & Wang, Zheng & Zhang, Wei & Zhou, Pan & Chen, Jian, 2019. "Changing patterns and determinants of transportation carbon emissions in Chinese cities," Energy, Elsevier, vol. 174(C), pages 562-575.

  9. Wu, Libo & Qian, Haoqi & Li, Jin, 2014. "Advancing the experiment to reality: Perspectives on Shanghai pilot carbon emissions trading scheme," Energy Policy, Elsevier, vol. 75(C), pages 22-30.

    Cited by:

    1. Munnings, Clayton & Morgenstern, Richard D. & Wang, Zhongmin & Liu, Xu, 2016. "Assessing the design of three carbon trading pilot programs in China," Energy Policy, Elsevier, vol. 96(C), pages 688-699.
    2. Yu, Pei & Cai, Zhengfang & Sun, Yongping, 2021. "Does the emissions trading system in developing countries accelerate carbon leakage through OFDI? Evidence from China," Energy Economics, Elsevier, vol. 101(C).
    3. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    4. Wei, Yigang & Liang, Xin & Xu, Liang & Kou, Gang & Chevallier, Julien, 2023. "Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling," Energy Economics, Elsevier, vol. 117(C).
    5. Lin, Boqiang & Chen, Yufang, 2019. "Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China," Energy, Elsevier, vol. 172(C), pages 1198-1210.
    6. Yinpeng Zhang & Zhixin Liu & Yingying Xu, 2018. "Carbon price volatility: The case of China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    7. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    8. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    9. An, Na & Huang, Chenyu & Shen, Yanting & Wang, Jinyu & Yu, Zhongqi & Fu, Jiayan & Liu, Xiao & Yao, Jiawei, 2024. "Efficient data-driven prediction of household carbon footprint in China with limited features," Energy Policy, Elsevier, vol. 185(C).
    10. Wang, Xiao-Qing & Su, Chi-Wei & Lobonţ, Oana-Ramona & Li, Hao & Nicoleta-Claudia, Moldovan, 2022. "Is China's carbon trading market efficient? Evidence from emissions trading scheme pilots," Energy, Elsevier, vol. 245(C).
    11. Xie, Li & Zhou, Zhichao & Hui, Shimin, 2022. "Does environmental regulation improve the structure of power generation technology? Evidence from China's pilot policy on the carbon emissions trading market(CETM)," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    12. Higashida, Keisaku & Tanaka, Kenta & Managi, Shunsuke, 2019. "The efficiency of conservation banking schemes with inter-regionally tradable credits and the role of mediators," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 175-186.
    13. Qiu, Rui & Hou, Shuhua & Meng, Zhiyi, 2021. "Low carbon air transport development trends and policy implications based on a scientometrics-based data analysis system," Transport Policy, Elsevier, vol. 107(C), pages 1-10.
    14. Xiong, Ling & Shen, Bo & Qi, Shaozhou & Price, Lynn & Ye, Bin, 2017. "The allowance mechanism of China’s carbon trading pilots: A comparative analysis with schemes in EU and California," Applied Energy, Elsevier, vol. 185(P2), pages 1849-1859.
    15. Yao, Shiyue & Yu, Xueying & Yan, Sen & Wen, Shiyan, 2021. "Heterogeneous emission trading schemes and green innovation," Energy Policy, Elsevier, vol. 155(C).
    16. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    17. Yue-Jun Zhang & Jun-Fang Hao, 2017. "Carbon emission quota allocation among China’s industrial sectors based on the equity and efficiency principles," Annals of Operations Research, Springer, vol. 255(1), pages 117-140, August.
    18. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    19. Deng, Haiyan & Zhang, Wenjia & Liu, Dan, 2023. "Does carbon emission trading system induce enterprises’ green innovation?," Journal of Asian Economics, Elsevier, vol. 86(C).
    20. Zhang, Yue-Jun & Liang, Ting & Jin, Yan-Lin & Shen, Bo, 2020. "The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors," Applied Energy, Elsevier, vol. 260(C).
    21. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Liu, Menghe, 2017. "Investigating carbon tax pilot in YRD urban agglomerations—Analysis of a novel ESER system with carbon tax constraints and its application," Applied Energy, Elsevier, vol. 194(C), pages 635-647.
    22. Jiang, M. & Liang, X. & Reiner, D. & Lin, B., 2018. "Stakeholder Views on Interactions between Low-carbon Policies and Carbon Markets in China: Lessons from the Guangdong ETS," Cambridge Working Papers in Economics 1811, Faculty of Economics, University of Cambridge.
    23. Chang, Kai & Zhang, Chao, 2018. "Asymmetric dependence structure between emissions allowances and wholesale diesel/gasoline prices in emerging China's emissions trading scheme pilots," Energy, Elsevier, vol. 164(C), pages 124-136.
    24. Feng Ba & Paul R Thiers & Yonggong Liu, 2018. "The evolution of China’s emission trading mechanisms: From international offset market to domestic Emission Trading Scheme," Environment and Planning C, , vol. 36(7), pages 1214-1233, November.
    25. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    26. Tao Pang & Maosheng Duan, 2016. "Cap setting and allowance allocation in China's emissions trading pilot programmes: special issues and innovative solutions," Climate Policy, Taylor & Francis Journals, vol. 16(7), pages 815-835, October.
    27. Pang, Jun & Timilsina, Govinda, 2021. "How would an emissions trading scheme affect provincial economies in China: Insights from a computable general equilibrium model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    28. Dai, Hancheng & Xie, Yang & Liu, Jingyu & Masui, Toshihiko, 2018. "Aligning renewable energy targets with carbon emissions trading to achieve China's INDCs: A general equilibrium assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4121-4131.
    29. Gao, Yuning & Li, Meng & Xue, Jinjun & Liu, Yu, 2020. "Evaluation of effectiveness of China's carbon emissions trading scheme in carbon mitigation," Energy Economics, Elsevier, vol. 90(C).
    30. Zhang, Peiwen & Ding, Rui, 2023. "How to achieve carbon abatement in aviation with hybrid mechanism? A stochastic evolutionary game model," Energy, Elsevier, vol. 285(C).
    31. Clayton Munnings & William Acworth & Oliver Sartor & Yong-Gun Kim & Karsten Neuhoff, 2016. "Pricing Carbon Consumption: A Review of an Emerging Trend," Discussion Papers of DIW Berlin 1620, DIW Berlin, German Institute for Economic Research.
    32. Munnings, Clayton & Morgenstern, Richard & Wang, Zhongmin & Liu, Xu, 2014. "Assessing the Design of Three Pilot Programs for Carbon Trading in China," RFF Working Paper Series dp-14-36, Resources for the Future.
    33. Wu, Rui & Dai, Hancheng & Geng, Yong & Xie, Yang & Masui, Toshihiko & Tian, Xu, 2016. "Achieving China’s INDC through carbon cap-and-trade: Insights from Shanghai," Applied Energy, Elsevier, vol. 184(C), pages 1114-1122.
    34. Yang, Fan & Lee, Hyoungsuk, 2022. "An innovative provincial CO2 emission quota allocation scheme for Chinese low-carbon transition," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    35. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    36. Li, Zheng-Zheng & Li, Yameng & Huang, Chia-Yun & Peculea, Adelina Dumitrescu, 2023. "Volatility spillover across Chinese carbon markets: Evidence from quantile connectedness method," Energy Economics, Elsevier, vol. 119(C).
    37. Dongmin Son & Joonrak Kim & Bongju Jeong, 2019. "Optimal Operational Strategy for Power Producers in Korea Considering Renewable Portfolio Standards and Emissions Trading Schemes," Energies, MDPI, vol. 12(9), pages 1-24, May.
    38. Cong, Ren & Lo, Alex Y., 2017. "Emission trading and carbon market performance in Shenzhen, China," Applied Energy, Elsevier, vol. 193(C), pages 414-425.
    39. Baochen Yang & Chuanze Liu & Zehao Gou & Jiacheng Man & Yunpeng Su, 2018. "How Will Policies of China’s CO 2 ETS Affect its Carbon Price: Evidence from Chinese Pilot Regions," Sustainability, MDPI, vol. 10(3), pages 1-26, February.
    40. Wei Jiang & Jia Liu & Xiang Liu, 2016. "Impact of Carbon Quota Allocation Mechanism on Emissions Trading: An Agent-Based Simulation," Sustainability, MDPI, vol. 8(8), pages 1-13, August.

  10. Wu, Libo & Li, Jing & Zhang, ZhongXiang, 2013. "Inflationary effect of oil-price shocks in an imperfect market: A partial transmission input–output analysis," Journal of Policy Modeling, Elsevier, vol. 35(2), pages 354-369.
    See citations under working paper version above.
  11. Wang, K.Y. & Luo, X.J. & Wu, L. & Liu, X.C., 2013. "Optimal coordination of wind-hydro-thermal based on water complementing wind," Renewable Energy, Elsevier, vol. 60(C), pages 169-178.

    Cited by:

    1. Pimenta, Felipe M. & Assireu, Arcilan T., 2015. "Simulating reservoir storage for a wind-hydro hydrid system," Renewable Energy, Elsevier, vol. 76(C), pages 757-767.
    2. de Queiroz, Anderson Rodrigo, 2016. "Stochastic hydro-thermal scheduling optimization: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 382-395.
    3. Dubey, Hari Mohan & Pandit, Manjaree & Panigrahi, B.K., 2016. "Hydro-thermal-wind scheduling employing novel ant lion optimization technique with composite ranking index," Renewable Energy, Elsevier, vol. 99(C), pages 18-34.
    4. Jin, Xiaoyu & Liu, Benxi & Liao, Shengli & Cheng, Chuntian & Li, Gang & Liu, Lingjun, 2022. "Impacts of different wind and solar power penetrations on cascade hydroplants operation," Renewable Energy, Elsevier, vol. 182(C), pages 227-244.
    5. Ji, Bin & Zhang, Binqiao & Yu, Samson S. & Zhang, Dezhi & Yuan, Xiaohui, 2021. "An enhanced Borg algorithmic framework for solving the hydro-thermal-wind Co-scheduling problem," Energy, Elsevier, vol. 218(C).
    6. Schmidt, Johannes & Cancella, Rafael & Junior, Amaro Olímpio Pereira, 2016. "The effect of windpower on long-term variability of combined hydro-wind resources: The case of Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 131-141.
    7. Wang, Xianxun & Mei, Yadong & Kong, Yanjun & Lin, Yuru & Wang, Hao, 2017. "Improved multi-objective model and analysis of the coordinated operation of a hydro-wind-photovoltaic system," Energy, Elsevier, vol. 134(C), pages 813-839.
    8. Liu, Yangyang & Jiang, Chuanwen & Shen, Jingshuang & Hu, Jiakai & Luo, Yifan, 2015. "Coordination of hydro units with wind power generation based on RAROC," Renewable Energy, Elsevier, vol. 80(C), pages 783-792.
    9. Yuan, Wenlin & Xin, Wenpeng & Su, Chengguo & Cheng, Chuntian & Yan, Denghua & Wu, Zening, 2022. "Cross-regional integrated transmission of wind power and pumped-storage hydropower considering the peak shaving demands of multiple power grids," Renewable Energy, Elsevier, vol. 190(C), pages 1112-1126.
    10. Chen, J.J. & Zhuang, Y.B. & Li, Y.Z. & Wang, P. & Zhao, Y.L. & Zhang, C.S., 2017. "Risk-aware short term hydro-wind-thermal scheduling using a probability interval optimization model," Applied Energy, Elsevier, vol. 189(C), pages 534-554.
    11. Zhang, Xinshuo & Huang, Weibin & Chen, Shijun & Xie, Diya & Liu, Dexu & Ma, Guangwen, 2020. "Grid–source coordinated dispatching based on heterogeneous energy hybrid power generation," Energy, Elsevier, vol. 205(C).
    12. Ibanez, Eduardo & Magee, Timothy & Clement, Mitch & Brinkman, Gregory & Milligan, Michael & Zagona, Edith, 2014. "Enhancing hydropower modeling in variable generation integration studies," Energy, Elsevier, vol. 74(C), pages 518-528.
    13. Schmidt, Johannes & Cancella, Rafael & Junior, Amaro Olímpio Pereira, 2014. "Combing windpower and hydropower to decrease seasonal and inter-annual availability of renewable energy sources in Brazil," Discussion Papers DP-56-2014, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.

  12. Tang, Weiqi & Wu, Libo & Zhang, ZhongXiang, 2010. "Oil price shocks and their short- and long-term effects on the Chinese economy," Energy Economics, Elsevier, vol. 32(Supplemen), pages 3-14, September.
    See citations under working paper version above.
  13. Wu, Libo & Kaneko, Shinji & Matsuoka, Shunji, 2006. "Dynamics of energy-related CO2 emissions in China during 1980 to 2002: The relative importance of energy supply-side and demand-side effects," Energy Policy, Elsevier, vol. 34(18), pages 3549-3572, December.

    Cited by:

    1. Zhu, Bing & Zhou, Wenji & Hu, Shanying & Li, Qiang & Griffy-Brown, Charla & Jin, Yong, 2010. "CO2 emissions and reduction potential in China’s chemical industry," Energy, Elsevier, vol. 35(12), pages 4663-4670.
    2. Li, Aijun & Hu, Mingming & Wang, Mingjian & Cao, Yinxue, 2016. "Energy consumption and CO2 emissions in Eastern and Central China: A temporal and a cross-regional decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 284-297.
    3. Rodríguez, Miguel, 2022. "Why do many prospective analyses of CO2 emissions fail? An illustrative example from China," Energy, Elsevier, vol. 244(PB).
    4. Zhang, XiaoHong & Hu, He & Zhang, Rong & Deng, ShiHuai, 2014. "Interactions between China׳s economy, energy and the air emissions and their policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 624-638.
    5. Liu, Lan-Cui & Fan, Ying & Wu, Gang & Wei, Yi-Ming, 2007. "Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis," Energy Policy, Elsevier, vol. 35(11), pages 5892-5900, November.
    6. Gui, Shusen & Wu, Chunyou & Qu, Ying & Guo, Lingling, 2017. "Path analysis of factors impacting China's CO2 emission intensity: Viewpoint on energy," Energy Policy, Elsevier, vol. 109(C), pages 650-658.
    7. Lan-Cui Liu & Jin-Nan Wang & Gang Wu & Yi-Ming Wei, 2009. "China's regional carbon emissions change over 1997-2007," CEEP-BIT Working Papers 2, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    8. Wang, Xiaolei & Lin, Boqiang, 2016. "How to reduce CO2 emissions in China׳s iron and steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1496-1505.
    9. Shi Wang & Hua Wang & Li Zhang & Jun Dang, 2019. "Provincial Carbon Emissions Efficiency and Its Influencing Factors in China," Sustainability, MDPI, vol. 11(8), pages 1-21, April.
    10. Lizhan Cao & Hui Wang, 2022. "The Slowdown in China’s Energy Consumption Growth in the “New Normal” Stage: From Both National and Regional Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    11. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    12. He Li & Kevin Lo & Mark Wang & Pingyu Zhang & Longyi Xue, 2016. "Industrial Energy Consumption in Northeast China under the Revitalisation Strategy: A Decomposition and Policy Analysis," Energies, MDPI, vol. 9(7), pages 1-13, July.
    13. Kahrl, Fredrich & Roland-Holst, David & Zilberman, David, 2013. "Past as Prologue? Understanding energy use in post-2002 China," Energy Economics, Elsevier, vol. 36(C), pages 759-771.
    14. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    15. Kerui Du & Boqiang Lin & Chunping Xie, 2017. "Exploring Change in China’s Carbon Intensity: A Decomposition Approach," Sustainability, MDPI, vol. 9(2), pages 1-14, February.
    16. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Decomposition Analysis of Energy-Related Industrial CO 2 Emissions in China," Energies, MDPI, vol. 6(5), pages 1-19, April.
    17. Tao Ding & Yadong Ning & Yan Zhang, 2017. "Estimation of greenhouse gas emissions in China 1990–2013," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(6), pages 1097-1115, December.
    18. Yuxue Zhang & Rui Wang & Xingyuan Yang & He Zhang, 2023. "Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies," Land, MDPI, vol. 12(6), pages 1-21, May.
    19. Xie, Hualin & Yu, Yanni & Wang, Wei & Liu, Yanchu, 2017. "The substitutability of non-fossil energy, potential carbon emission reduction and energy shadow prices in China," Energy Policy, Elsevier, vol. 107(C), pages 63-71.
    20. Rodríguez, Miguel & Pena-Boquete, Yolanda, 2017. "Carbon intensity changes in the Asian Dragons. Lessons for climate policy design," Energy Economics, Elsevier, vol. 66(C), pages 17-26.
    21. Zhang, Youguo, 2010. "Supply-side structural effect on carbon emissions in China," Energy Economics, Elsevier, vol. 32(1), pages 186-193, January.
    22. Liu, Gengyuan & Hao, Yan & Zhou, Yun & Yang, Zhifeng & Zhang, Yan & Su, Meirong, 2016. "China's low-carbon industrial transformation assessment based on Logarithmic Mean Divisia Index model," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 156-170.
    23. Han, Hongyun & Wu, Shu & Zhang, Zhijian, 2018. "Factors underlying rural household energy transition: A case study of China," Energy Policy, Elsevier, vol. 114(C), pages 234-244.
    24. Ma, Chunbo, 2010. "Account for sector heterogeneity in China's energy consumption: Sector price indices vs. GDP deflator," Energy Economics, Elsevier, vol. 32(1), pages 24-29, January.
    25. Ma, Chunbo & Stern, David I., 2008. "Biomass and China's carbon emissions: A missing piece of carbon decomposition," Energy Policy, Elsevier, vol. 36(7), pages 2517-2526, July.

  14. Wu, Libo & Kaneko, Shinji & Matsuoka, Shunji, 2005. "Driving forces behind the stagnancy of China's energy-related CO2 emissions from 1996 to 1999: the relative importance of structural change, intensity change and scale change," Energy Policy, Elsevier, vol. 33(3), pages 319-335, February.

    Cited by:

    1. Ning Chang & Michael L. Lahr, 2016. "Changes in China’s production-source CO 2 emissions: insights from structural decomposition analysis and linkage analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 224-242, June.
    2. Jialing Zou & Zhipeng Tang & Shuang Wu, 2019. "Divergent Leading Factors in Energy-Related CO 2 Emissions Change among Subregions of the Beijing–Tianjin–Hebei Area from 2006 to 2016: An Extended LMDI Analysis," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    3. Wang, Chunhua, 2013. "Differential output growth across regions and carbon dioxide emissions: Evidence from U.S. and China," Energy, Elsevier, vol. 53(C), pages 230-236.
    4. Jiangyue Joy Ying & Benjamin K. Sovacool, 2021. "A fair trade? Expert perceptions of equity, innovation, and public awareness in China’s future Emissions Trading Scheme," Climatic Change, Springer, vol. 164(3), pages 1-23, February.
    5. Fan, Ying & Liu, Lan-Cui & Wu, Gang & Tsai, Hsien-Tang & Wei, Yi-Ming, 2007. "Changes in carbon intensity in China: Empirical findings from 1980-2003," Ecological Economics, Elsevier, vol. 62(3-4), pages 683-691, May.
    6. Wu, Libo & Kaneko, Shinji & Matsuoka, Shunji, 2006. "Dynamics of energy-related CO2 emissions in China during 1980 to 2002: The relative importance of energy supply-side and demand-side effects," Energy Policy, Elsevier, vol. 34(18), pages 3549-3572, December.
    7. He, Jie, 2010. "What is the role of openness for China's aggregate industrial SO2 emission?: A structural analysis based on the Divisia decomposition method," Ecological Economics, Elsevier, vol. 69(4), pages 868-886, February.
    8. Hehua Zhao & Hongwen Chen & Lei He, 2022. "Embodied Carbon Emissions and Regional Transfer Characteristics—Evidence from China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    9. Bo Yang & Minhaj Ali & Shujahat Haider Hashmi & Mohsin Shabir, 2020. "Income Inequality and CO 2 Emissions in Developing Countries: The Moderating Role of Financial Instability," Sustainability, MDPI, vol. 12(17), pages 1-24, August.
    10. Rodríguez, Miguel, 2022. "Why do many prospective analyses of CO2 emissions fail? An illustrative example from China," Energy, Elsevier, vol. 244(PB).
    11. Wang, Haikun & Zhang, Yanxia & Lu, Xi & Nielsen, Chris P. & Bi, Jun, 2015. "Understanding China׳s carbon dioxide emissions from both production and consumption perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 189-200.
    12. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    13. Tan, Feifei & Lu, Zhaohua, 2015. "Current status and future choices of regional sectors-energy-related CO2 emissions: The third economic growth pole of China," Applied Energy, Elsevier, vol. 159(C), pages 237-251.
    14. Dabo Guan & Terry Barker, 2012. "Low-carbon development in the least developed region: a case study of Guangyuan, Sichuan province, southwest China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(2), pages 243-254, June.
    15. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    16. Xin Tong & Xuesen Li & Lin Tong & Xuan Jiang, 2018. "Spatial Spillover and the Influencing Factors Relating to Provincial Carbon Emissions in China Based on the Spatial Panel Data Model," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    17. Rafaa Mraïhi & Riadh Harizi, 2014. "Road Freight Transport and Carbon Dioxide Emissions: Policy Options for Tunisia," Energy & Environment, , vol. 25(1), pages 79-92, February.
    18. Lin Yang & Yunfei Yao & Jiutian Zhang & Xian Zhang & Karl J. McAlinden, 2016. "A CGE analysis of carbon market impact on CO2 emission reduction in China: a technology-led approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1107-1128, March.
    19. Inglesi-Lotz, Roula, 2018. "Decomposing the South African CO2 emissions within a BRICS countries context: Signalling potential energy rebound effects," Energy, Elsevier, vol. 147(C), pages 648-654.
    20. Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2020. "Do drivers of CO2 emission growth alter overtime and by the stage of economic development?," Energy Policy, Elsevier, vol. 140(C).
    21. Samargandi, Nahla, 2017. "Sector value addition, technology and CO2 emissions in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 868-877.
    22. Changjian Wang & Fei Wang & Hongou Zhang & Yuyao Ye & Qitao Wu & Yongxian Su, 2014. "Carbon Emissions Decomposition and Environmental Mitigation Policy Recommendations for Sustainable Development in Shandong Province," Sustainability, MDPI, vol. 6(11), pages 1-16, November.
    23. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
    24. Ryo Fujikura & Shinji Kaneko & Hirofumi Nakayama & Naoya Sawazu, 2006. "Coverage and reliability of Chinese statistics regarding sulfur dioxide emissions during the late 1990s," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 7(4), pages 415-434, December.
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    32. L. Wu & W. Liu & X. J. Hu, 2010. "Joint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors," Biometrics, The International Biometric Society, vol. 66(2), pages 327-335, June.
    33. Yuzhu Tian & Manlai Tang & Maozai Tian, 2018. "Joint modeling for mixed-effects quantile regression of longitudinal data with detection limits and covariates measured with error, with application to AIDS studies," Computational Statistics, Springer, vol. 33(4), pages 1563-1587, December.

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    2. Maurice G. Estes & James Cruise & Walter Lee Ellenburg & Rachel Suhs & Alexandria Cox & Max Runge & Adam Newby, 2022. "Evaluating Ecosystem Services for the Expansion of Irrigation on Agricultural Land," Land, MDPI, vol. 11(12), pages 1-15, December.
    3. Robles, O. & Playán, E. & Cavero, J. & Zapata, N., 2017. "Assessing low-pressure solid-set sprinkler irrigation in maize," Agricultural Water Management, Elsevier, vol. 191(C), pages 37-49.
    4. Li, Jiusheng & Li, Bei & Rao, Minjie, 2005. "Spatial and temporal distributions of nitrogen and crop yield as affected by nonuniformity of sprinkler fertigation," Agricultural Water Management, Elsevier, vol. 76(3), pages 160-180, August.
    5. Ghimire, Chandra Prasad & Bradley, Stuart & Ritchie, Willis & Appels, Willemijn M. & Grundy, Laura & Snow, Val, 2022. "Towards quantifying plot-scale overland flow connectivity using acoustic proximal remote sensing," Agricultural Water Management, Elsevier, vol. 262(C).
    6. Liu, Jing & Bi, Xiaoqing & Ma, Maoting & Jiang, Lihua & Du, Lianfeng & Li, Shunjiang & Sun, Qinping & Zou, Guoyuan & Liu, Hongbin, 2019. "Precipitation and irrigation dominate soil water leaching in cropland in Northern China," Agricultural Water Management, Elsevier, vol. 211(C), pages 165-171.
    7. Sanchez, I. & Zapata, N. & Faci, J.M., 2010. "Combined effect of technical, meteorological and agronomical factors on solid-set sprinkler irrigation: I. Irrigation performance and soil water recharge in alfalfa and maize," Agricultural Water Management, Elsevier, vol. 97(10), pages 1571-1581, October.
    8. Zhou, Lifeng & He, Jianqiang & Qi, Zhijuan & Dyck, Miles & Zou, Yufeng & Zhang, Tibin & Feng, Hao, 2018. "Effects of lateral spacing for drip irrigation and mulching on the distributions of soil water and nitrate, maize yield, and water use efficiency," Agricultural Water Management, Elsevier, vol. 199(C), pages 190-200.
    9. Baram, S. & Couvreur, V. & Harter, T. & Read, M. & Brown, P.H. & Hopmans, J.W. & Smart, D.R., 2016. "Assessment of orchard N losses to groundwater with a vadose zone monitoring network," Agricultural Water Management, Elsevier, vol. 172(C), pages 83-95.
    10. Liao, Kaihua & Lv, Ligang & Lai, Xiaoming & Zhu, Qing, 2021. "Toward a framework for the multimodel ensemble prediction of soil nitrogen losses," Ecological Modelling, Elsevier, vol. 456(C).

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