Facilitating or Hindering? The Impact of Low-Carbon Pilot Policies on Socio-Ecological Resilience in Resource-Based Cities

Low-carbon pilot policies are essential for the green transformation of resource-based cities, helping them mitigate the “carbon curse” and the “resource curse” while promoting sustainable socio-ecological development. Focusing on a panel of 114 resource-based cities in China, spanning from 2003 to...

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Main Authors: Yanran Peng, Zhong Wang, Yunhui Zhang, Wei Wang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/14/1/147
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author Yanran Peng
Zhong Wang
Yunhui Zhang
Wei Wang
author_facet Yanran Peng
Zhong Wang
Yunhui Zhang
Wei Wang
author_sort Yanran Peng
collection DOAJ
description Low-carbon pilot policies are essential for the green transformation of resource-based cities, helping them mitigate the “carbon curse” and the “resource curse” while promoting sustainable socio-ecological development. Focusing on a panel of 114 resource-based cities in China, spanning from 2003 to 2022, this study employs a range of methodologies, including kernel density estimation, the Difference-in-Differences Model, Spatial Difference-in-Differences, Mediation Analysis, K-means Clustering, and Dual Machine Learning to assess the consequences of low-carbon pilot policies on socio-ecological resilience. The findings indicate that the socio-ecological resilience of the study area has generally improved, though there is noticeable polarization. Low-carbon pilot policies significantly enhance the resilience of resource-based cities by 0.4%, and they exhibit a positive spatial spillover effect of 1.1%. However, the long-term effects of the policies on economic resilience were not significant, and the policies did not have a direct impact on the social resilience of the pilot cities; however, they did promote social resilience in neighboring regions. Finally, the effectiveness of low-carbon pilots varies, with more pronounced benefits in declining and mature resource cities, particularly in those with medium ecological and economic resilience, and low social resilience. Green finance, industrial transformation, and carbon emission efficiency are identified as key strategies for improving socio-ecological resilience. The above findings provide insights for policymakers seeking to foster inclusive, resilient, and sustainable urban development in China.
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spelling doaj-art-9dfa97cceb8346038b9c69a53882fb322025-01-24T13:38:05ZengMDPI AGLand2073-445X2025-01-0114114710.3390/land14010147Facilitating or Hindering? The Impact of Low-Carbon Pilot Policies on Socio-Ecological Resilience in Resource-Based CitiesYanran Peng0Zhong Wang1Yunhui Zhang2Wei Wang3School of Public Administration, China University of Geosciences, Wuhan 430074, ChinaSchool of Public Administration, China University of Geosciences, Wuhan 430074, ChinaSchool of Public Administration, China University of Geosciences, Wuhan 430074, ChinaSchool of Public Administration, China University of Geosciences, Wuhan 430074, ChinaLow-carbon pilot policies are essential for the green transformation of resource-based cities, helping them mitigate the “carbon curse” and the “resource curse” while promoting sustainable socio-ecological development. Focusing on a panel of 114 resource-based cities in China, spanning from 2003 to 2022, this study employs a range of methodologies, including kernel density estimation, the Difference-in-Differences Model, Spatial Difference-in-Differences, Mediation Analysis, K-means Clustering, and Dual Machine Learning to assess the consequences of low-carbon pilot policies on socio-ecological resilience. The findings indicate that the socio-ecological resilience of the study area has generally improved, though there is noticeable polarization. Low-carbon pilot policies significantly enhance the resilience of resource-based cities by 0.4%, and they exhibit a positive spatial spillover effect of 1.1%. However, the long-term effects of the policies on economic resilience were not significant, and the policies did not have a direct impact on the social resilience of the pilot cities; however, they did promote social resilience in neighboring regions. Finally, the effectiveness of low-carbon pilots varies, with more pronounced benefits in declining and mature resource cities, particularly in those with medium ecological and economic resilience, and low social resilience. Green finance, industrial transformation, and carbon emission efficiency are identified as key strategies for improving socio-ecological resilience. The above findings provide insights for policymakers seeking to foster inclusive, resilient, and sustainable urban development in China.https://www.mdpi.com/2073-445X/14/1/147low-carbon pilotsresource-based citiessocio-ecological resiliencespatial spillover effect
spellingShingle Yanran Peng
Zhong Wang
Yunhui Zhang
Wei Wang
Facilitating or Hindering? The Impact of Low-Carbon Pilot Policies on Socio-Ecological Resilience in Resource-Based Cities
Land
low-carbon pilots
resource-based cities
socio-ecological resilience
spatial spillover effect
title Facilitating or Hindering? The Impact of Low-Carbon Pilot Policies on Socio-Ecological Resilience in Resource-Based Cities
title_full Facilitating or Hindering? The Impact of Low-Carbon Pilot Policies on Socio-Ecological Resilience in Resource-Based Cities
title_fullStr Facilitating or Hindering? The Impact of Low-Carbon Pilot Policies on Socio-Ecological Resilience in Resource-Based Cities
title_full_unstemmed Facilitating or Hindering? The Impact of Low-Carbon Pilot Policies on Socio-Ecological Resilience in Resource-Based Cities
title_short Facilitating or Hindering? The Impact of Low-Carbon Pilot Policies on Socio-Ecological Resilience in Resource-Based Cities
title_sort facilitating or hindering the impact of low carbon pilot policies on socio ecological resilience in resource based cities
topic low-carbon pilots
resource-based cities
socio-ecological resilience
spatial spillover effect
url https://www.mdpi.com/2073-445X/14/1/147
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