IDEAS home Printed from https://ideas.repec.org/a/taf/jenpmg/v65y2022i12p2333-2361.html
   My bibliography  Save this article

Re-examining the effect of China’s new-energy demonstration cities construction policy on environmental pollution: a perspective of pollutant emission intensity control

Author

Listed:
  • Yuan Feng
  • Changfei Nie

Abstract

The construction of new-energy demonstration cities (NEDC) is a typical energy policy recently implemented in China, which aims to accelerate energy transition. Using panel data for 269 Chinese cities during 2010-2017, this study examines the effect of the NEDC construction policy on environmental pollution under the difference-in-differences (DID) framework from the perspective of pollutant emission intensity control. The results show that China’s NEDC construction policy exerts a significant negative impact on environmental pollution, especially in the central and western cities, as well as the cities with a low level of economic development. However, the pollution reduction effect is unsustainable due to the lack of long-term policy planning. The mechanism analysis suggests that the NEDC construction policy mainly reduces environmental pollution through the scale effect, that is, reducing the scale and intensity of electricity consumption. The findings of this study provide beneficial inspiration for scientific implementation of energy policies in the future.

Suggested Citation

  • Yuan Feng & Changfei Nie, 2022. "Re-examining the effect of China’s new-energy demonstration cities construction policy on environmental pollution: a perspective of pollutant emission intensity control," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(12), pages 2333-2361, October.
    • Handle: RePEc:taf:jenpmg:v:65:y:2022:i:12:p:2333-2361
    DOI: 10.1080/09640568.2022.2050685
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09640568.2022.2050685
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09640568.2022.2050685?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nie, Changfei & Ye, Susu & Feng, Yuan, 2024. "Place-based policy and urban green technology innovation: Evidence from the revitalization of old revolutionary base areas in China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1257-1272.
    2. Razzaq, Asif & Yang, Xiaodong, 2023. "Digital finance and green growth in China: Appraising inclusive digital finance using web crawler technology and big data," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    3. Li-chen Zhang & Zheng-ai Dong & Zhi-xiong Tan & Jia-hui Luo & De-kui Yan, 2024. "Institutional Performance and Carbon Reduction Effect of High-Quality Development of New Energy: China’s Experience and Policy Implication," Sustainability, MDPI, vol. 16(16), pages 1-26, August.
    4. Hou, Yaru & Yang, Mian & Ma, Yanran & Zhang, Haiying, 2024. "Study on city's energy transition: Evidence from the establishment of the new energy demonstration cities in China," Energy, Elsevier, vol. 292(C).
    5. Changfei Nie & Ruyi Li & Yuan Feng, 2024. "Analyzing Coupling Coordination of Pollution and Carbon Reduction with High-Quality Economic Development: A Case Study of China’s Yangtze River Economic Belt," Sustainability, MDPI, vol. 16(12), pages 1-26, June.
    6. Liu, Xiaoqian & Wang, Chang'an & Wu, Haitao & Yang, Cunyi & Albitar, Khaldoon, 2023. "The impact of the new energy demonstration city construction on energy consumption intensity: Exploring the sustainable potential of China's firms," Energy, Elsevier, vol. 283(C).
    7. Guo, Bingnan & Feng, Yu & Lin, Ji & Wang, Xu, 2024. "New energy demonstration city and urban pollutant emissions: An analysis based on a spatial difference-in-differences model," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 287-298.
    8. Yuan Feng & Liyuan Wang & Changfei Nie, 2024. "Can place-based policy reduce carbon emissions? Evidence from industrial transformation and upgrading exemplary zone in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

    More about this item

    Statistics

    Access and download statistics

    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:taf:jenpmg:v:65:y:2022:i:12:p:2333-2361. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJEP20 .

    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.