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ORIGINAL RESEARCH article

Front. Ecol. Evol.
Sec. Urban Ecology
Volume 12 - 2024 | doi: 10.3389/fevo.2024.1442755

Urban low-carbon governance and ecological efficiency: New evidence from prefecture-level cities in China

Provisionally accepted
  • School of Economics and Management, Beijing Forestry University, Beijing, China

The final, formatted version of the article will be published soon.

    In the search for sustainable development, urban eco-development is becoming a core agenda for all countries. China's Low Carbon City Pilot (LCCP) policy is an important initiative to promote urban low-carbon governance. In this study, Super-SBM is employed to calculate urban ecological efficiency using panel data from 254 prefecture-level cities between 2007 and 2020. The spatial analyses examine the spatiotemporal patterns and dynamic evolving trends of urban ecological efficiency. Additionally, the multi-period difference-in-differences method is used to assess the impact of the LCCP policy on urban ecological efficiency. The results indicate that urban ecological efficiency gradually forms a continuous spatial clustering pattern, although there is a widening tendency in the absolute differences. In the subsequent transfer process, the spatial factor plays a highly significant role.Benchmark regressions and auxiliary robustness tests demonstrate that the LCCP policy is effective in improving urban ecological efficiency. Further analysis shows that the effect of LCCP policies on ecological efficiency can be transmitted by promoting green technology innovation as well as facilitating a low-carbon transition in the energy mix. The above findings indicate the presence of the 'Green Innovation Effect' and the 'Decoupling Effect.' These discoveries enhance the theoretical framework of urban ecology and offer valuable insights for other regions seeking to implement low-carbon urban governance.

    Keywords: Low-carbon city, Super-SBM model, Ecological efficiency, Kernel Density Estimation, Spatial Markov chain model, Multi-period difference-in-differences (DID), Green innovation effect, Decoupling effect

    Received: 02 Jun 2024; Accepted: 09 Aug 2024.

    Copyright: © 2024 Liu, Xu, Jin, Wu and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yang Zhang, School of Economics and Management, Beijing Forestry University, Beijing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.