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Energy rebound effect in China: Measurement based on a variable coefficient production function

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  • Tan, Ruipeng
  • Zhang, Zixuan
  • Du, Kerui
  • Lin, Boqiang

Abstract

The presence of the energy rebound effect (ERE) creates significant challenges in realizing the goals of energy-saving policies. Current literature measuring ERE based on production function faces two limitations. First, energy intensity is used as the indicator of energy efficiency, but reductions in energy intensity do not necessarily trigger ERE. Second, the assumption that input elasticities remain constant across regions and periods is unrealistic. To make up these defects, we propose a model using total-factor energy productivity as an indicator of energy-augmenting technology and develop a framework to measure ERE driven by advancements in energy-augmenting technology. Moreover, we employ a variable coefficient production function to measure the contribution of energy augmenting technology progress to output growth and further ERE. The findings demonstrate that, firstly, various inputs exhibit significant temporal and regional disparities in output elasticities. Second, the ERE is estimated to be 27.21 % on average in China, while a fixed-coefficient Cobb-Douglas model overestimates the ERE at 30.43 %. Third, regional and temporal disparities are evident in the ERE. Based on these conclusions, pertinent implications are put forward to inform the policymakers.

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  • Tan, Ruipeng & Zhang, Zixuan & Du, Kerui & Lin, Boqiang, 2025. "Energy rebound effect in China: Measurement based on a variable coefficient production function," Ecological Economics, Elsevier, vol. 230(C).
  • Handle: RePEc:eee:ecolec:v:230:y:2025:i:c:s0921800924003938
    DOI: 10.1016/j.ecolecon.2024.108496
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    as
    1. Brookes, Len, 1990. "The greenhouse effect: the fallacies in the energy efficiency solution," Energy Policy, Elsevier, vol. 18(2), pages 199-201, March.
    2. Berner, Anne & Bruns, Stephan & Moneta, Alessio & Stern, David I., 2022. "Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States," Energy Economics, Elsevier, vol. 110(C).
    3. Zhang, Shangfeng & Liu, Yaoxin & Huang, Duen-Huang, 2021. "Understanding the mystery of continued rapid economic growth," Journal of Business Research, Elsevier, vol. 124(C), pages 529-537.
    4. Binlei Gong, 2020. "New Growth Accounting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 641-661, March.
    5. Chen, Qian & Zha, Donglan & Wang, Lijun & Yang, Guanglei, 2022. "The direct CO2 rebound effect in households: Evidence from China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    6. Gale A. Boyd, 2008. "Estimating Plant Level Energy Efficiency with a Stochastic Frontier," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 23-44.
    7. Saunders, Harry D., 2000. "A view from the macro side: rebound, backfire, and Khazzoom-Brookes," Energy Policy, Elsevier, vol. 28(6-7), pages 439-449, June.
    8. Kong, Li & Mu, Xianzhong & Hu, Guangwen & Tu, Chuang, 2023. "Will energy efficiency improvements reduce energy consumption? Perspective of rebound effect and evidence from beijing," Energy, Elsevier, vol. 263(PA).
    9. Li, Xinze & Du, Kerui & Ouyang, Xiaoling & Liu, Lili, 2022. "Does more stringent environmental regulation induce firms' innovation? Evidence from the 11th Five-year plan in China," Energy Economics, Elsevier, vol. 112(C).
    10. Alejandro Justiniano & Giorgio E. Primiceri, 2008. "The Time-Varying Volatility of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 98(3), pages 604-641, June.
    11. Yuan, Jiahai & Kang, Junjie & Yu, Cong & Hu, Zhaoguang, 2011. "Energy conservation and emissions reduction in China—Progress and prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4334-4347.
    12. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    13. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    14. Sun, Chuanwang & Chen, Zhilong & Guo, Zhiru & Wu, Huixin, 2022. "Energy rebound effect of various industries in China: Based on hybrid energy input-output model," Energy, Elsevier, vol. 261(PB).
    15. Chen, Zhe & Song, Pei & Wang, Baolu, 2021. "Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from China's provincial data," Energy Policy, Elsevier, vol. 157(C).
    16. Glomsrod, Solveig & Taoyuan, Wei, 2005. "Coal cleaning: a viable strategy for reduced carbon emissions and improved environment in China?," Energy Policy, Elsevier, vol. 33(4), pages 525-542, March.
    17. Jafari, Mahboubeh & Stern, David I. & Bruns, Stephan B., 2022. "How large is the economy-wide rebound effect in middle income countries? Evidence from Iran," Ecological Economics, Elsevier, vol. 193(C).
    18. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    19. Ghosh, Neal K. & Blackhurst, Michael F., 2014. "Energy savings and the rebound effect with multiple energy services and efficiency correlation," Ecological Economics, Elsevier, vol. 105(C), pages 55-66.
    20. Tan, Ruipeng & Xu, Mengmeng & Sun, Chuanwang, 2021. "The impacts of energy reallocation on economic output and CO2 emissions in China," Energy Economics, Elsevier, vol. 94(C).
    21. Saunders, Harry D., 2008. "Fuel conserving (and using) production functions," Energy Economics, Elsevier, vol. 30(5), pages 2184-2235, September.
    22. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    23. Fan, Yanqin & Li, Qi & Weersink, Alfons, 1996. "Semiparametric Estimation of Stochastic Production Frontier Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 460-468, October.
    24. Jia, Zhijie & Lin, Boqiang, 2022. "CEEEA2.0 model: A dynamic CGE model for energy-environment-economy analysis with available data and code," Energy Economics, Elsevier, vol. 112(C).
    25. Gale A. Boyd, 2008. "Estimating Plant Level Energy Efficiency with a Stochastic Frontier," The Energy Journal, , vol. 29(2), pages 23-44, April.
    26. Barry Naughton, 2007. "The Chinese Economy: Transitions and Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262640643, December.
    27. Yang, Zhenbing & Shao, Shuai & Li, Chengyu & Yang, Lili, 2020. "Alleviating the misallocation of R&D inputs in China's manufacturing sector: From the perspectives of factor-biased technological innovation and substitution elasticity," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    28. Berner, Anne & Lange, Steffen & Silbersdorff, Alexander, 2022. "Firm-level energy rebound effects and relative efficiency in the German manufacturing sector," Energy Economics, Elsevier, vol. 109(C).
    29. Harty D. Saunders, 1992. "The Khazzoom-Brookes Postulate and Neoclassical Growth," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 131-148.
    30. Zhou, Nan & Levine, Mark D. & Price, Lynn, 2010. "Overview of current energy-efficiency policies in China," Energy Policy, Elsevier, vol. 38(11), pages 6439-6452, November.
    31. Harry D. Saunders, 1992. "The Khazzoom-Brookes Postulate and Neoclassical Growth," The Energy Journal, , vol. 13(4), pages 131-148, October.
    32. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    33. Bentzen, Jan, 2004. "Estimating the rebound effect in US manufacturing energy consumption," Energy Economics, Elsevier, vol. 26(1), pages 123-134, January.
    34. Freire-González, Jaume & Ho, Mun S., 2022. "Policy strategies to tackle rebound effects: A comparative analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 193.
    35. Ahmann, Lara & Banning, Maximilian & Lutz, Christian, 2022. "Modeling rebound effects and counteracting policies for German industries," Ecological Economics, Elsevier, vol. 197(C).
    36. Jin, Sang-Hyeon, 2007. "The effectiveness of energy efficiency improvement in a developing country: Rebound effect of residential electricity use in South Korea," Energy Policy, Elsevier, vol. 35(11), pages 5622-5629, November.
    37. Howells, Mark & Jeong, Kiho & Langlois, Lucille & Lee, Man Ki & Nam, Kee-Yung & Rogner, Hans Holger, 2010. "Incorporating macroeconomic feedback into an energy systems model using an IO approach: Evaluating the rebound effect in the Korean electricity system," Energy Policy, Elsevier, vol. 38(6), pages 2700-2728, June.
    38. Wei, Taoyuan, 2007. "Impact of energy efficiency gains on output and energy use with Cobb-Douglas production function," Energy Policy, Elsevier, vol. 35(4), pages 2023-2030, April.
    39. Yiguo Sun & Raymond J. Carroll & Dingding Li, 2009. "Semiparametric estimation of fixed-effects panel data varying coefficient models," Advances in Econometrics, in: Nonparametric Econometric Methods, pages 101-129, Emerald Group Publishing Limited.
    40. Shao, Shuai & Guo, Longfei & Yu, Mingliang & Yang, Lili & Guan, Dabo, 2019. "Does the rebound effect matter in energy import-dependent mega-cities? Evidence from Shanghai (China)," Applied Energy, Elsevier, vol. 241(C), pages 212-228.
    41. Haas, Reinhard & Biermayr, Peter, 2000. "The rebound effect for space heating Empirical evidence from Austria," Energy Policy, Elsevier, vol. 28(6-7), pages 403-410, June.
    42. Xu, Mengmeng & Tan, Ruipeng, 2021. "Removing energy allocation distortion to increase economic output and energy efficiency in China," Energy Policy, Elsevier, vol. 150(C).
    43. Gong, Binlei, 2018. "Agricultural reforms and production in China: Changes in provincial production function and productivity in 1978–2015," Journal of Development Economics, Elsevier, vol. 132(C), pages 18-31.
    44. Jaehn, Florian & Meissner, Finn, 2022. "The rebound effect in transportation," Omega, Elsevier, vol. 108(C).
    45. Andrews-Speed, Philip, 2009. "China's ongoing energy efficiency drive: Origins, progress and prospects," Energy Policy, Elsevier, vol. 37(4), pages 1331-1344, April.
    46. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2015. "A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand," Energy Economics, Elsevier, vol. 49(C), pages 599-609.
    47. Yu, Xuewei & Moreno-Cruz, Juan & Crittenden, John C., 2015. "Regional energy rebound effect: The impact of economy-wide and sector level energy efficiency improvement in Georgia, USA," Energy Policy, Elsevier, vol. 87(C), pages 250-259.
    48. Wu, Shu, 2020. "The evolution of rural energy policies in China: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    49. Liu, Hongxun & Du, Kerui & Li, Jianglong, 2019. "An improved approach to estimate direct rebound effect by incorporating energy efficiency: A revisit of China's industrial energy demand," Energy Economics, Elsevier, vol. 80(C), pages 720-730.
    50. Cansino, José M. & Ordóñez, Manuel & Prieto, Manuela, 2022. "Decomposition and measurement of the rebound effect: The case of energy efficiency improvements in Spain," Applied Energy, Elsevier, vol. 306(PA).
    51. Lin, Boqiang & Zhu, Penghu, 2021. "Measurement of the direct rebound effect of residential electricity consumption: An empirical study based on the China family panel studies," Applied Energy, Elsevier, vol. 301(C).
    52. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    53. Zha, Donglan & Chen, Qian & Wang, Lijun, 2022. "Exploring carbon rebound effects in Chinese households’ consumption: A simulation analysis based on a multi-regional input–output framework," Applied Energy, Elsevier, vol. 313(C).
    54. Mei Yuan & Sugandha Tuladhar & Paul Bernstein & Lee Lanen, 2011. "Policy Effectiveness in Energy Conservation and Emission Reduction," The Energy Journal, , vol. 32(1_suppl), pages 153-172, June.
    55. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    56. Berkhout, Peter H. G. & Muskens, Jos C. & W. Velthuijsen, Jan, 2000. "Defining the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 425-432, June.
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