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

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.

[1]  B. Li,et al.  Did Civilized City Policy Improve Energy Efficiency of Resource-Based Cities? Prefecture-Level Evidence from China , 2022, SSRN Electronic Journal.

[2]  Da Gao,et al.  Tax Policy and Total Factor Carbon Emission Efficiency: Evidence from China’s VAT Reform , 2022, International journal of environmental research and public health.

[3]  Da Gao,et al.  The Impact of Digital Finance on Green Total Factor Energy Efficiency: Evidence at China’s City Level , 2022, Energies.

[4]  Wei Zhang,et al.  Digital economy and carbon emission performance: Evidence at China's city level , 2022, Energy Policy.

[5]  Shaoping Jiang,et al.  What Makes the River Chief System in China Viable? Examples from the Huaihe River Basin , 2022, Sustainability.

[6]  Daqian Shi,et al.  Does environmental information disclosure improve energy efficiency? , 2022, Energy Policy.

[7]  Zhiwei Xu,et al.  Energy efficiency assessment of RCEP member states: A three-stage slack based measurement DEA with undesirable outputs , 2022, Energy.

[8]  Yaobin Liu,et al.  The spatial threshold effect and its regional boundary of new-type urbanization on energy efficiency , 2022, Energy Policy.

[9]  Qianqian Hong,et al.  The impact of carbon emissions trading on energy efficiency: Evidence from quasi-experiment in China's carbon emissions trading pilot , 2022, Energy Economics.

[10]  Yi Li,et al.  Boosting the green total factor energy efficiency in urban China: Does low-carbon city policy matter? , 2022, Environmental Science and Pollution Research.

[11]  Xiaoshu Xu,et al.  River Chief System, Emission Abatement, and Firms’ Profits: Evidence from China’s Polluting Firms , 2022, Sustainability.

[12]  Mengke Huang,et al.  China’s River Chief Policy and the Sustainable Development Goals: Prefecture-Level Evidence from the Yangtze River Economic Belt , 2022, Sustainability.

[13]  Da Gao,et al.  Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities , 2022, Energy.

[14]  Juan Wang,et al.  Game Analysis of the Evolution of Local Government’s River Chief System Implementation Strategy , 2022, International Journal of Environmental Research and Public Health.

[15]  Ling-Yun He,et al.  Robot adoption and energy performance: Evidence from Chinese industrial firms , 2022, Energy Economics.

[16]  Chien‐Chiang Lee,et al.  Urban broadband infrastructure and green total-factor energy efficiency in China , 2022, Utilities Policy.

[17]  Daqian Shi,et al.  The impact of emissions trading system on corporate energy efficiency: Evidence from a quasi-natural experiment in China , 2021 .

[18]  L. Aldieri,et al.  Evaluation of energy resilience and adaptation policies: An energy efficiency analysis , 2021 .

[19]  Peiyun Song,et al.  Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from China's provincial data , 2021 .

[20]  Yaodong Zhou,et al.  The Effectiveness of “River Chief System” Policy: An Empirical Study Based on Environmental Monitoring Samples of China , 2021, Water.

[21]  M. Song,et al.  Impact of green credit on high-efficiency utilization of energy in China considering environmental constraints , 2021 .

[22]  Y. Hao,et al.  Does Internet Development Improve Green Total Factor Energy Efficiency? Evidence from China , 2021, SSRN Electronic Journal.

[23]  Recep Ulucak A revisit to the relationship between financial development and energy consumption: Is globalization paramount? , 2021, Energy.

[24]  Y. Hao,et al.  How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China , 2020, SSRN Electronic Journal.

[25]  Bo Wen,et al.  Top-Down and Bottom-Up Approaches to Environmental Governance in China: Evidence from the River Chief System (RCS) , 2020, International journal of environmental research and public health.

[26]  Mengjie Li,et al.  Role of rent-seeking or technological progress in maintaining the monopoly power of energy enterprises: An empirical analysis based on micro-data from China , 2020 .

[27]  Longfei Wang,et al.  Full Implementation of the River Chief System in China: Outcome and Weakness , 2020, Sustainability.

[28]  Xin Gao,et al.  Assessing the Effect of the Chinese River Chief Policy for Water Pollution Control under Uncertainty—Using Chaohu Lake as a Case , 2020, International journal of environmental research and public health.

[29]  Jing Li,et al.  Trade-off between economic development and environmental governance in China: An analysis based on the effect of river chief system , 2020 .

[30]  Jun Liu,et al.  Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces , 2020 .

[31]  Qi Zhang,et al.  The real effect of legal institutions: Environmental courts and firm environmental protection expenditure , 2019, Journal of Environmental Economics and Management.

[32]  Chuanwang Sun,et al.  How do fossil energy prices affect the stock prices of new energy companies? Evidence from Divisia energy price index in China's market , 2019, Energy.

[33]  Huanxiu Guo,et al.  Does central supervision enhance local environmental enforcement? Quasi-experimental evidence from China , 2018, Journal of Public Economics.

[34]  M. Warner,et al.  Multilevel Governance: Framing the Integration of Top-Down and Bottom-Up Policymaking , 2018, International Journal of Public Administration.

[35]  Ning Liu,et al.  Political Commitment, Policy Ambiguity, and Corporate Environmental Practices , 2018 .

[36]  Ronald J. Shadbegian,et al.  Does Environmental Regulation Affect Labor Demand in China? Evidence from the Textile Printing and Dyeing Industry ☆ , 2017 .

[37]  Incheol Kim,et al.  Do Unions Affect Innovation? , 2015, Manag. Sci..

[38]  Matthew E. Kahn,et al.  Water Pollution Progress at Borders: The Role of Changes in China's Political Promotion Incentives , 2015 .

[39]  Andres Ramirez-Portilla,et al.  Linking energy efficiency and innovation practices: Empirical evidence from the foundry sector , 2015 .

[40]  K. Dirckinck-Holmfeld The options of local authorities for addressing climate change and energy efficiency through environmental regulation of companies , 2015 .

[41]  L. Proskuryakova,et al.  Measuring energy efficiency: Is energy intensity a good evidence base? , 2015 .

[42]  Zibin Zhang,et al.  Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China , 2015 .

[43]  Selçuk Bilgen,et al.  Structure and environmental impact of global energy consumption , 2014 .

[44]  A. Mol,et al.  Implementation and Participation in China's Local Environmental Politics: Challenges and Innovations , 2013 .

[45]  P. Topalova Factor Immobility and Regional Impacts of Trade Liberalization Evidence on Poverty from India , 2010, SSRN Electronic Journal.

[46]  Ross Levine,et al.  Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States , 2009 .

[47]  Nansheng Pang,et al.  Environment Effects of Energy Consumption Structure Based on Comprehensive Grey Correlation Degree: from 1998 to 2006 in China , 2009, 2009 Asia-Pacific Power and Energy Engineering Conference.

[48]  B. W. Ang,et al.  Decomposition of aggregate CO2 emissions: A production-theoretical approach , 2008 .

[49]  Yi-Ming Wei,et al.  Energy structure, marginal efficiency and substitution rate: An empirical study of China , 2007 .

[50]  Jin-Li Hu,et al.  Total-factor energy efficiency of regions in China , 2006 .

[51]  Kaoru Tone,et al.  A slacks-based measure of efficiency in data envelopment analysis , 1997, Eur. J. Oper. Res..