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Appraising the role of energy conservation and emission reduction policy for eco-friendly productivity improvements: An entropy-balancing DID approach

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  • Tao, Miaomiao
  • Wen, Le
  • Sheng, Mingyue Selena
  • Poletti, Stephen

Abstract

In pursuit of low-carbon and high-quality economic development, the Chinese government has implemented an energy conservation and emission reduction (ECER) policy. It has piloted this policy for three groups of prefecture-level cities since 2011. So far, there is no systematic evidence to demonstrate whether such a strategy can help China achieve a “win-win” situation between energy conservation and environmental protection. To identify the causal effect of the ECER policy on eco-friendly productivity (EFP), we explore variations in the timing of this policy across cities combined with the entropy-balancing method and assemble a balanced panel dataset encompassing China's 283 cities from 2006 to 2017. Empirical findings demonstrate that EFP in the ECER pilot cities had increased by 15.3% on average compared with EFP in non-ECER pilot regions based on the difference-in-differences framework. Notably, the ECER policy generates significant positive spatial spillover effects on surrounding ECER pilot regions. Our channel analysis confirms that the positive effect of the ECER policy is also realized through energy savings, structural effects, and green technological effects. Moreover, the observed effect is significantly heterogeneous regarding geographical locations, resource endowment, whether a city has an old industrial base, and environmental regulation. Finally, several policy implications concerning China's ECER policy and EFP improvement are put forward.

Suggested Citation

  • Tao, Miaomiao & Wen, Le & Sheng, Mingyue Selena & Poletti, Stephen, 2024. "Appraising the role of energy conservation and emission reduction policy for eco-friendly productivity improvements: An entropy-balancing DID approach," Energy Economics, Elsevier, vol. 132(C).
    • Handle: RePEc:eee:eneeco:v:132:y:2024:i:c:s0140988324001300
    DOI: 10.1016/j.eneco.2024.107422
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    References listed on IDEAS

    as
    1. Mardones, Cristian & Ortega, José, 2021. "Are the emissions trading systems’ simulations generated with a computable general equilibrium model sensitive to the nested production structure?," Applied Energy, Elsevier, vol. 298(C).
    2. Jeff L. McMullin & Bryce Schonberger, 2020. "Entropy-balanced accruals," Review of Accounting Studies, Springer, vol. 25(1), pages 84-119, March.
    3. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    4. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    5. Sadorsky, Perry, 2010. "The impact of financial development on energy consumption in emerging economies," Energy Policy, Elsevier, vol. 38(5), pages 2528-2535, May.
    6. Lin, Boqiang & Zhu, Junpeng, 2019. "Fiscal spending and green economic growth: Evidence from China," Energy Economics, Elsevier, vol. 83(C), pages 264-271.
    7. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
    8. Yan, Yu & Huang, Junbing, 2022. "The role of population agglomeration played in China's carbon intensity: A city-level analysis," Energy Economics, Elsevier, vol. 114(C).
    9. Shi, Huiting & Chai, Jian & Lu, Quanying & Zheng, Jiali & Wang, Shouyang, 2022. "The impact of China's low-carbon transition on economy, society and energy in 2030 based on CO2 emissions drivers," Energy, Elsevier, vol. 239(PD).
    10. Li, Jianglong & Sun, Chuanwang, 2018. "Towards a low carbon economy by removing fossil fuel subsidies?," China Economic Review, Elsevier, vol. 50(C), pages 17-33.
    11. Tan, Xiujie & Yan, Yaxue & Dong, Yuyang, 2022. "Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines," Resources Policy, Elsevier, vol. 76(C).
    12. Nathan Nunn & Leonard Wantchekon, 2011. "The Slave Trade and the Origins of Mistrust in Africa," American Economic Review, American Economic Association, vol. 101(7), pages 3221-3252, December.
    13. Ouyang, Xiaoling & Fang, Xingming & Cao, Yan & Sun, Chuanwang, 2020. "Factors behind CO2 emission reduction in Chinese heavy industries: Do environmental regulations matter?," Energy Policy, Elsevier, vol. 145(C).
    14. Yuan, Na & Gao, Yihong, 2022. "Does green credit policy impact corporate cash holdings?," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    15. Cui, Xin & Wang, Panpan & Sensoy, Ahmet & Nguyen, Duc Khuong & Pan, Yuying, 2022. "Green Credit Policy and Corporate Productivity: Evidence from a Quasi-natural Experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    16. Levinson, Arik, 1996. "Environmental regulations and manufacturers' location choices: Evidence from the Census of Manufactures," Journal of Public Economics, Elsevier, vol. 62(1-2), pages 5-29, October.
    17. Shao, Shuai & Zhang, Yan & Tian, Zhihua & Li, Ding & Yang, Lili, 2020. "The regional Dutch disease effect within China: A spatial econometric investigation," Energy Economics, Elsevier, vol. 88(C).
    18. Zhang, Caiqing & Chen, Panyu, 2022. "Applying the three-stage SBM-DEA model to evaluate energy efficiency and impact factors in RCEP countries," Energy, Elsevier, vol. 241(C).
    19. Hu, Haisheng & Dong, Wanhao & Zhou, Qian, 2021. "A comparative study on the environmental and economic effects of a resource tax and carbon tax in China: Analysis based on the computable general equilibrium model," Energy Policy, Elsevier, vol. 156(C).
    20. Natalia Zugravu-Soilita, 2017. "How does Foreign Direct Investment Affect Pollution? Toward a Better Understanding of the Direct and Conditional Effects," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(2), pages 293-338, February.
    21. Liu, Xiaoling & Sun, Xiaohua & Li, Mingshan & Zhai, Yu, 2020. "The effects of demonstration projects on electric vehicle diffusion: An empirical study in China," Energy Policy, Elsevier, vol. 139(C).
    22. Wen, Le & Suomalainen, Kiti & Sharp, Basil & Yi, Ming & Sheng, Mingyue Selena, 2022. "Impact of wind-hydro dynamics on electricity price: A seasonal spatial econometric analysis," Energy, Elsevier, vol. 238(PC).
    23. Chen, Shuo & Li, Yiran & Yao, Qin, 2018. "The health costs of the industrial leap forward in China: Evidence from the sulfur dioxide emissions of coal-fired power stations," China Economic Review, Elsevier, vol. 49(C), pages 68-83.
    24. Guo, Pibin & Wang, Ting & Li, Dan & Zhou, Xijun, 2016. "How energy technology innovation affects transition of coal resource-based economy in China," Energy Policy, Elsevier, vol. 92(C), pages 1-6.
    25. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    26. Xiao, De & Yu, Fan & Guo, Chenhao, 2023. "The impact of China's pilot carbon ETS on the labor income share: Based on an empirical method of combining PSM with staggered DID," Energy Economics, Elsevier, vol. 124(C).
    27. Fan, Meiting & Li, Mengxu & Liu, Jianghua & Shao, Shuai, 2022. "Is high natural resource dependence doomed to low carbon emission efficiency? Evidence from 283 cities in China," Energy Economics, Elsevier, vol. 115(C).
    28. Luo, Shunjun & Zhang, Shaohui, 2022. "How R&D expenditure intermediate as a new determinants for low carbon energy transition in Belt and Road Initiative economies," Renewable Energy, Elsevier, vol. 197(C), pages 101-109.
    29. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
    30. Michael E. Porter & Claas van der Linde, 1995. "Toward a New Conception of the Environment-Competitiveness Relationship," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 97-118, Fall.
    31. Wu, Haitao & Xu, Lina & Ren, Siyu & Hao, Yu & Yan, Guoyao, 2020. "How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model," Resources Policy, Elsevier, vol. 67(C).
    32. Kong, Dongmin & Wang, Li & Wang, Maobin, 2017. "Effects of anti-corruption on firm performance: Evidence from a quasi-natural experiment in China," Finance Research Letters, Elsevier, vol. 23(C), pages 190-195.
    33. Yang, Weonho & Fidrmuc, Jan & Ghosh, Sugata, 2015. "Macroeconomic effects of fiscal adjustment: A tale of two approaches," Journal of International Money and Finance, Elsevier, vol. 57(C), pages 31-60.
    34. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    35. Hu, Guoqiang & Wang, Xiaoqi & Wang, Yu, 2021. "Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 98(C).
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    More about this item

    Keywords

    Energy conservation and emission reduction; Entropy-balancing difference-in-differences; Spatial spillover; Channel analysis; Heterogeneity;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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