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Can River Chief System Policy Improve Enterprises’ Energy Efficiency? Evidence from China

Author

Listed:
  • Da Gao

    (School of Law and Business, Wuhan Institute of Technology, Wuhan 430200, China)

  • Chang Liu

    (School of Economics, Huazhong University of Science and Technology, Wuhan 430070, China)

  • Xinyan Wei

    (School of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Yang Liu

    (School of Economics, Huazhong University of Science and Technology, Wuhan 430070, China)

Abstract

The river chief system (RCS) is an autonomous environmental policy implemented by local governments in China that incorporates environmental responsibilities into the performance evaluation. Although existing literature suggests that RCS can reduce water pollution, the impact of RCS on energy efficiency has not been assessed. Therefore, this paper compiles data on industrial enterprises and industrial pollution in China from 2003 to 2013 and empirically examines the impact of RCS on green total factor energy efficiency (GTFEE) by using a multiple difference-in-difference approach. The results show that RCS significantly enhances firms’ GTFEE, and a series of tests confirm the robustness of the findings. Second, we further explore how RCS affects GTFEE, the mechanism tests conclude that the RCS improves GTFEE mainly through optimizing energy structure and promoting technological innovation. Third, compared with small firms, exporters, and firms in non-heavy polluting industries, the RCS has a greater effect on improving the GTFEE of large firms, non-exporters, and firms in heavily polluting industries. This study provides new and novel ideas for emerging countries to improve environmental policies and achieve sustainable development.

Suggested Citation

  • Da Gao & Chang Liu & Xinyan Wei & Yang Liu, 2023. "Can River Chief System Policy Improve Enterprises’ Energy Efficiency? Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:2882-:d:1060107
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    as
    1. Zhou, Sheng & Xu, Zhiwei, 2022. "Energy efficiency assessment of RCEP member states: A three-stage slack based measurement DEA with undesirable outputs," Energy, Elsevier, vol. 253(C).
    2. Hong, Qianqian & Cui, Linhao & Hong, Penghui, 2022. "The impact of carbon emissions trading on energy efficiency: Evidence from quasi-experiment in China's carbon emissions trading pilot," Energy Economics, Elsevier, vol. 110(C).
    3. Du, Weijian & Li, Mengjie & Wang, Faming, 2020. "Role of rent-seeking or technological progress in maintaining the monopoly power of energy enterprises: An empirical analysis based on micro-data from China," Energy, Elsevier, vol. 202(C).
    4. Han, Zhi-Yong & Fan, Ying & Jiao, Jian-Ling & Yan, Ji-Sheng & Wei, Yi-Ming, 2007. "Energy structure, marginal efficiency and substitution rate: An empirical study of China," Energy, Elsevier, vol. 32(6), pages 935-942.
    5. Aldieri, Luigi & Gatto, Andrea & Vinci, Concetto Paolo, 2021. "Evaluation of energy resilience and adaptation policies: An energy efficiency analysis," Energy Policy, Elsevier, vol. 157(C).
    6. 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).
    7. Zhang, Qi & Yu, Zhi & Kong, Dongmin, 2019. "The real effect of legal institutions: Environmental courts and firm environmental protection expenditure," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    8. Jie Ouyang & Kezhong Zhang & Bo Wen & Yuanping Lu, 2020. "Top-Down and Bottom-Up Approaches to Environmental Governance in China: Evidence from the River Chief System (RCS)," IJERPH, MDPI, vol. 17(19), pages 1-23, September.
    9. Li, Jing & Shi, Xing & Wu, Huaqing & Liu, Liwen, 2020. "Trade-off between economic development and environmental governance in China: An analysis based on the effect of river chief system," China Economic Review, Elsevier, vol. 60(C).
    10. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    11. Juan Wang & Xin Wan & Ruide Tu, 2022. "Game Analysis of the Evolution of Local Government’s River Chief System Implementation Strategy," IJERPH, MDPI, vol. 19(4), pages 1-13, February.
    12. Feng, Yidai & Liu, Yaobin & Yuan, Huaxi, 2022. "The spatial threshold effect and its regional boundary of new-type urbanization on energy efficiency," Energy Policy, Elsevier, vol. 164(C).
    13. Cagno, Enrico & Ramirez-Portilla, Andres & Trianni, Andrea, 2015. "Linking energy efficiency and innovation practices: Empirical evidence from the foundry sector," Energy Policy, Elsevier, vol. 83(C), pages 240-256.
    14. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
    15. Li, Bo & Han, Yukai & Wang, Chensheng & Sun, Wei, 2022. "Did civilized city policy improve energy efficiency of resource-based cities? Prefecture-level evidence from China," Energy Policy, Elsevier, vol. 167(C).
    16. Matthew E. Kahn & Pei Li & Daxuan Zhao, 2015. "Water Pollution Progress at Borders: The Role of Changes in China's Political Promotion Incentives," American Economic Journal: Economic Policy, American Economic Association, vol. 7(4), pages 223-242, November.
    17. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    18. Xiaoshu Xu & Yingying Cheng & Xuechen Meng, 2022. "River Chief System, Emission Abatement, and Firms’ Profits: Evidence from China’s Polluting Firms," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    19. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    20. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    21. Bu, Caiqi & Zhang, Kaixia & Shi, Daqian & Wang, Shuyu, 2022. "Does environmental information disclosure improve energy efficiency?," Energy Policy, Elsevier, vol. 164(C).
    22. Petia Topalova, 2010. "Factor Immobility and Regional Impacts of Trade Liberalization: Evidence on Poverty from India," American Economic Journal: Applied Economics, American Economic Association, vol. 2(4), pages 1-41, October.
    23. Zhang, Bing & Chen, Xiaolan & Guo, Huanxiu, 2018. "Does central supervision enhance local environmental enforcement? Quasi-experimental evidence from China," Journal of Public Economics, Elsevier, vol. 164(C), pages 70-90.
    24. Li, Shan & Liu, Jianjiang & Shi, Daqian, 2021. "The impact of emissions trading system on corporate energy efficiency: Evidence from a quasi-natural experiment in China," Energy, Elsevier, vol. 233(C).
    25. Wen, Huwei & Liang, Weitao & Lee, Chien-Chiang, 2022. "Urban broadband infrastructure and green total-factor energy efficiency in China," Utilities Policy, Elsevier, vol. 79(C).
    26. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    27. Song, Malin & Xie, Qianjiao & Shen, Zhiyang, 2021. "Impact of green credit on high-efficiency utilization of energy in China considering environmental constraints," Energy Policy, Elsevier, vol. 153(C).
    28. 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.
    29. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    30. Danish, & Ulucak, Recep, 2021. "A revisit to the relationship between financial development and energy consumption: Is globalization paramount?," Energy, Elsevier, vol. 227(C).
    31. Huang, Geng & He, Ling-Yun & Lin, Xi, 2022. "Robot adoption and energy performance: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 107(C).
    32. Liu, Mengdi & Shadbegian, Ronald & Zhang, Bing, 2017. "Does environmental regulation affect labor demand in China? Evidence from the textile printing and dyeing industry," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 277-294.
    33. Yinghong Li & Jiaxin Tong & Longfei Wang, 2020. "Full Implementation of the River Chief System in China: Outcome and Weakness," Sustainability, MDPI, vol. 12(9), pages 1-16, May.
    34. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
    35. Proskuryakova, L. & Kovalev, A., 2015. "Measuring energy efficiency: Is energy intensity a good evidence base?," Applied Energy, Elsevier, vol. 138(C), pages 450-459.
    36. Daniel Bradley & Incheol Kim & Xuan Tian, 2017. "Do Unions Affect Innovation?," Management Science, INFORMS, vol. 63(7), pages 2251-2271, July.
    37. Xia Xu & Fengping Wu & Lina Zhang & Xin Gao, 2020. "Assessing the Effect of the Chinese River Chief Policy for Water Pollution Control under Uncertainty—Using Chaohu Lake as a Case," IJERPH, MDPI, vol. 17(9), pages 1-26, April.
    38. Zihao Zhang & Chao Xiong & Yu Yang & Chunyan Liang & Shaoping Jiang, 2022. "What Makes the River Chief System in China Viable? Examples from the Huaihe River Basin," Sustainability, MDPI, vol. 14(10), pages 1-24, May.
    39. Sun, Chuanwang & Ding, Dan & Fang, Xingming & Zhang, Huiming & Li, Jianglong, 2019. "How do fossil energy prices affect the stock prices of new energy companies? Evidence from Divisia energy price index in China's market," Energy, Elsevier, vol. 169(C), pages 637-645.
    40. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
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    2. Wen, Yuyuan & Yu, Zilong & Xue, Jingjing & Liu, Yang, 2024. "How heterogeneous industrial agglomeration impacts energy efficiency subject to technological innovation:Evidence from the spatial threshold model," Energy Economics, Elsevier, vol. 136(C).
    3. Jiachao Peng & Shuke Fu & Da Gao & Jiali Tian, 2023. "Greening China’s Growth: Assessing the Synergistic Impact of Financial Development and Technological Innovation on Environmental Pollution Reduction—A Spatial STIRPAT Analysis," IJERPH, MDPI, vol. 20(6), pages 1-19, March.
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