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Will “Dual Control of the Amount and Intensity of Energy Consumption (DCEC)” Policy Increase Urban Green Competitiveness?

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  • Muxuan Li

    (School of Management, Tianjin University of Technology, Tianjin 300384, China)

  • Jingbin Wang

    (School of Management, Tianjin University of Technology, Tianjin 300384, China)

Abstract

Urban green transformation is an important part of global low-carbon development. Coercive government policies are critical to achieving success, but, as of now, there is no unified concept of “green competitiveness”. To address climate change, it is necessary to clearly define core concepts and apply measures. For this study, “urban green competitiveness” refers to the continuous improvement of total factor productivity by cities while fully emphasizing resource limitations and environmental issues to achieve economic growth. This article focuses on a Chinese policy of “dual control of the amount and intensity of energy consumption” (DCEC), which has not been fully studied. The DCEC policy incorporates a quasi-natural experiment to assess whether urban green competitiveness has been affected. This paper builds on the multi-period DID model and explores the effect based on city-level data from 2003 to 2019. The conclusion shows that DCEC policy can address climate change by restricting energy consumption and intensity. Success is achieved through the promotion of local green patent innovation and by intensifying environmental regulation. The policy should start from a long-term perspective by promoting structural and technological changes in the economy, rather than short-term quick success and instant benefits.

Suggested Citation

  • Muxuan Li & Jingbin Wang, 2023. "Will “Dual Control of the Amount and Intensity of Energy Consumption (DCEC)” Policy Increase Urban Green Competitiveness?," Sustainability, MDPI, vol. 15(21), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15458-:d:1270972
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    References listed on IDEAS

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    1. Xu, Yong & Li, Shanshan & Zhou, Xiaoxiao & Shahzad, Umer & Zhao, Xin, 2022. "How environmental regulations affect the development of green finance: Recent evidence from polluting firms in China," Renewable Energy, Elsevier, vol. 189(C), pages 917-926.
    2. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    3. Henriques, Irene & Sadorsky, Perry, 1996. "The Determinants of an Environmentally Responsive Firm: An Empirical Approach," Journal of Environmental Economics and Management, Elsevier, vol. 30(3), pages 381-395, May.
    4. 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.
    5. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    6. Anna Nowak & Armand Kasztelan, 2022. "Economic competitiveness vs. green competitiveness of agriculture in the European Union countries," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 379-405, June.
    7. Fabian Frick & Johannes Sauer, 2018. "Deregulation and Productivity: Empirical Evidence on Dairy Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 354-378.
    8. Zhen Yang & Weijun Gao & Jiawei Li, 2022. "Can Economic Growth and Environmental Protection Achieve a “Win–Win” Situation? Empirical Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
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