IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i21p15458-d1270972.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/21/15458/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/21/15458/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    3. 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.
    4. 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.
    5. 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.
    6. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
    2. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    3. Francesco Vona & Giovanni Marin & Davide Consoli, 2019. "Measures, drivers and effects of green employment: evidence from US local labor markets, 2006–2014," Journal of Economic Geography, Oxford University Press, vol. 19(5), pages 1021-1048.
    4. Giovanni Marin & Marianna Marino & Claudia Pellegrin, 2018. "The Impact of the European Emission Trading Scheme on Multiple Measures of Economic Performance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 551-582, October.
    5. BOUSSELIN Audrey, 2019. "Expanding access to universal childcare: Effects on childcare arrangements and maternal employment," LISER Working Paper Series 2019-11, Luxembourg Institute of Socio-Economic Research (LISER).
    6. Rachel Nichols & Satoshi Yamazaki & Sarah Jennings, 2021. "How did a network of marine protected areas impact adjacent fisheries? Evidence from Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 119-142, January.
    7. Jason Poulos & Andrea Albanese & Andrea Mercatanti & Fan Li, 2021. "Retrospective causal inference via matrix completion, with an evaluation of the effect of European integration on cross-border employment," Papers 2106.00788, arXiv.org.
    8. Mark Kattenberg & Bas Scheer & Jurre Thiel, 2023. "Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences," CPB Discussion Paper 452, CPB Netherlands Bureau for Economic Policy Analysis.
    9. Christian Almer & Stefan Boes & Stephan Nüesch, 2017. "Adjustments in the housing market after an environmental shock: evidence from a large-scale change in aircraft noise exposure," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 918-938.
    10. Ayyagari, Meghana & Beck, Thorsten & Hoseini, Mohammad, 2020. "Finance, law and poverty: Evidence from India," Journal of Corporate Finance, Elsevier, vol. 60(C).
    11. Marianna Schaubert, 2023. "Do Alimony Regulations Matter Inside Marriage? Evidence from the 2008 Reform of the German Maintenance Law," Journal of Labor Research, Springer, vol. 44(1), pages 145-178, June.
    12. Pohlan, Laura, 2019. "Unemployment and social exclusion," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 273-299.
    13. Ciani Emanuele & Fisher Paul, 2019. "Dif-in-Dif Estimators of Multiplicative Treatment Effects," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-10, January.
    14. Shishuai Fan & Yifan Yang, 2022. "How Does Internet Use Improve Mental Health among Middle-Aged and Elderly People in Rural Areas in China? A Quasi-Natural Experiment Based on the China Health and Retirement Longitudinal Study (CHARLS," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    15. Erlend E. Bø & Joel Slemrod & Thor O. Thoresen, 2015. "Taxes on the Internet: Deterrence Effects of Public Disclosure," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 36-62, February.
    16. Zhu, Dandan & Chen, Ke & Sun, Chuanwang & Lyu, Chaofeng, 2023. "Does environmental pollution liability insurance promote environmental performance? Firm-level evidence from quasi-natural experiment in China," Energy Economics, Elsevier, vol. 118(C).
    17. Moshoeshoe,Ramaele Elias, 2020. "Long-Term Effects of Free Primary Education on Educational Achievement : Evidence from Lesotho," Policy Research Working Paper Series 9404, The World Bank.
    18. Nakashima, Kiyotaka, 2016. "An econometric evaluation of bank recapitalization programs with bank- and loan-level data," Journal of Banking & Finance, Elsevier, vol. 63(C), pages 1-24.
    19. Filiz Gülal & Adam Ayaita, 2020. "The Impact of Minimum Wages on Well-Being: Evidence from a Quasi-experiment in Germany," Journal of Happiness Studies, Springer, vol. 21(7), pages 2669-2692, October.
    20. Anindo Sarker & Bulent Unel, 2017. "The Impact of Bank Expansion on Self-Employed Business Owners: Evidence from US States," Departmental Working Papers 2017-06, Department of Economics, Louisiana State University.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15458-:d:1270972. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.