IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i12p7540-d843239.html
   My bibliography  Save this article

Research on the Heterogeneity of Carbon Emissions under the Government’s Promotion of Urban Agglomeration Development: Empirical Evidence from County-to-District Reforms

Author

Listed:
  • Jing Jin

    (School of Management, Zhejiang University of Technology, Hangzhou 310023, China)

  • Duozhang Chen

    (School of Management, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

County-to-district reform (CTDR) is an important policy path for the government to promote the cultivation and construction of urban agglomerations, and exploring its “carbon emission” effect is of great significance for the high-quality development of urban agglomerations and the realization of the “dual carbon” goal. Based on the panel data of 120 counties in the Yangtze River Delta urban agglomeration from 2000–2017, this paper empirically tests the effect of county-to-district reforms on per capita carbon emissions in the counties of the central and peripheral cities of the Yangtze River Delta urban agglomeration under the Kutznets curve (EKC) hypothesis and the integrated difference-in-difference (DID) model and STIRPAT model. The results show that: (1) The carbon emission effect of county-to-district reforms have significant regional heterogeneity. The reforms of the central city of the urban agglomeration significantly reduced the per capita carbon emission of the county by 4.27%, whereas the reforms of the periphery cities of the urban agglomeration significantly increased per capita carbon emission by 6.56%. (2) The impact of county-to-district reforms on county per capita carbon emissions began to appear in the fourth year of reform. (3) Mechanism analysis showed that county-to-district reforms promoted central cities population agglomeration and reduction of carbon emission intensity can help reduce the per capita carbon emission level in counties, whereas peripheral cities have a dual carbon-increasing effect of decreasing population density and increasing carbon emission intensity. Therefore, the approval of county-to-district reforms should be strictly controlled, and the reform of non-central cities would be especially prudent, so as to reduce the negative effect of reform on the high-quality development of cities.

Suggested Citation

  • Jing Jin & Duozhang Chen, 2022. "Research on the Heterogeneity of Carbon Emissions under the Government’s Promotion of Urban Agglomeration Development: Empirical Evidence from County-to-District Reforms," IJERPH, MDPI, vol. 19(12), pages 1-15, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7540-:d:843239
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/12/7540/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/12/7540/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    2. Mingyuan Guo & Shaoli Chen & Yu Zhang, 2022. "Spatial Analysis on the Role of Multi-Dimensional Urbanizations in Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-23, April.
    3. Jianqing Zhang & Haichao Yu & Keke Zhang & Liang Zhao & Fei Fan, 2021. "Can Innovation Agglomeration Reduce Carbon Emissions? Evidence from China," IJERPH, MDPI, vol. 18(2), pages 1-24, January.
    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. Yunling Ye & Sheng Ye & Haichao Yu, 2021. "Can Industrial Collaborative Agglomeration Reduce Haze Pollution? City-Level Empirical Evidence from China," IJERPH, MDPI, vol. 18(4), pages 1-22, February.
    2. Xiaoqing Lin & Chunyan Lu & Kaishan Song & Ying Su & Yifan Lei & Lianxiu Zhong & Yibin Gao, 2020. "Analysis of Coupling Coordination Variance between Urbanization Quality and Eco-Environment Pressure: A Case Study of the West Taiwan Strait Urban Agglomeration, China," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
    3. Michael Greenstone & Rema Hanna, 2014. "Environmental Regulations, Air and Water Pollution, and Infant Mortality in India," American Economic Review, American Economic Association, vol. 104(10), pages 3038-3072, October.
    4. Fujii, Hidemichi & Managi, Shunsuke, 2013. "Which industry is greener? An empirical study of nine industries in OECD countries," Energy Policy, Elsevier, vol. 57(C), pages 381-388.
    5. Pantelis Kalaitzidakis & Theofanis P. Mamuneas & Thanasis Stengos, 2008. "The Contribution of Pollution to Productivity Growth," Working Paper series 06_08, Rimini Centre for Economic Analysis.
    6. Muhammad Shahbaz & Vassilios G. Papavassiliou & Amine Lahiani & David Roubaud, 2023. "Are we moving towards decarbonisation of the global economy? Lessons from the distant past to the present," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2620-2634, July.
    7. Song, Tao & Zheng, Tingguo & Tong, Lianjun, 2008. "An empirical test of the environmental Kuznets curve in China: A panel cointegration approach," China Economic Review, Elsevier, vol. 19(3), pages 381-392, September.
    8. Giedrė Lapinskienė & Kęstutis Peleckis & Neringa Slavinskaitė, 2017. "Energy consumption, economic growth and greenhouse gas emissions in the European Union countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(6), pages 1082-1097, November.
    9. Emrah Kocak & Hayriye Hilal Baglitas, 2022. "The path to sustainable municipal solid waste management: Do human development, energy efficiency, and income inequality matter?," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1947-1962, December.
    10. Paul Welfens & Jens Perret & Deniz Erdem, 2010. "Global economic sustainability indicator: analysis and policy options for the Copenhagen process," International Economics and Economic Policy, Springer, vol. 7(2), pages 153-185, August.
    11. Fan, Fei & Dai, Shangze & Yang, Bo & Ke, Haiqian, 2023. "Urban density, directed technological change, and carbon intensity: An empirical study based on Chinese cities," Technology in Society, Elsevier, vol. 72(C).
    12. Nicole Grunewald & Inmaculada Martínez-Zarzoso, 2009. "Driving Factors of Carbon Dioxide Emissions and the Impact from Kyoto Protocol," Ibero America Institute for Econ. Research (IAI) Discussion Papers 190, Ibero-America Institute for Economic Research.
    13. Lei Gao & Taowu Pei & Jingran Zhang & Yu Tian, 2022. "The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    14. Bradford David F. & Fender Rebecca A & Shore Stephen H. & Wagner Martin, 2005. "The Environmental Kuznets Curve: Exploring a Fresh Specification," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-30, June.
    15. Ghimire, Narishwar & Woodward, Richard T., 2013. "Under- and over-use of pesticides: An international analysis," Ecological Economics, Elsevier, vol. 89(C), pages 73-81.
    16. Yan, Bingqian & Xia, Yan & Jiang, Xuemei, 2023. "Carbon productivity and value-added generations: Regional heterogeneity along global value chain," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 111-125.
    17. Elbert Dijkgraaf & Herman Vollebergh, 2005. "A Test for Parameter Homogeneity in CO 2 Panel EKC Estimations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(2), pages 229-239, October.
    18. Esposito, Piero & Patriarca, Fabrizio & Salvati, Luca, 2018. "Tertiarization and land use change: The case of Italy," Economic Modelling, Elsevier, vol. 71(C), pages 80-86.
    19. Rahman, Tauhidur & Mittelhammer, Ron C. & Wandschneider, Philip R., 2011. "Measuring quality of life across countries: A multiple indicators and multiple causes approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(1), pages 43-52, February.
    20. Herrendorf, Berthold & Rogerson, Richard & Valentinyi, Ákos, 2014. "Growth and Structural Transformation," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 6, pages 855-941, Elsevier.

    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:jijerp:v:19:y:2022:i:12:p:7540-:d:843239. 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.