Scholarlink

<p>Sustainable economic development can only be attained through the synergistic enhancement of carbon emission efficiency (CEE) and industrial structure upgrading (IU). Based on the perspective of regional comparison, the undesirable outputs Super-SBM model, spatial autocorrelation model, logarithmic mean division index (LMDI) model, and geographic detector are used to analyze the spatiotemporal differentiation and influencing factors of the coupling coordination degree between IU and CEE (IUD) in the eight economic regions of China from 2005 to 2022. It was found that ① The spatial differentiation of IUD in China presents an unbalanced pattern of "coastal leading and inland catching up". The Southwest Comprehensive Economic Region (SWER) has made the most significant progress, while the development of the Northwest Comprehensive Economic Region (NWER) needs to be given special attention; the IUD is highly unbalanced. ② The two types of coupling coordination degree exhibit a positive spatial correlation overall, with a U-shaped spatial correlation in the coupling coordination degree between industrial structure rationalization and carbon emission efficiency (IRD); The spatial correlation of coupling coordination degree between industrial structure advancement and carbon emission efficiency (IAD) is steadily increasing. ③ The LMDI model combined with the influence factor analysis of the geographical detector indicates that within the CCD, the coordination degree is the dominant factor for the change of CCD. In the IRD, the coupling effect and coordination effect are relatively balanced, while the long-term synergy mechanism between the NWER and CEE is lacking. The coupling effect between the industrial structure advancement (IA) and CEE is not prominent, but the coordination function is good, suggesting that China as a whole is at risk of "high-carbon path dependence". From the analysis of external factors, it is found that the key factors affecting IRD include the opening up level (OUL), energy intensity (EI), urbanization (UL), and industrial agglomeration degree (IGD). The key factors affecting IAD are OUL and EI. In further research on the influencing factors of IUD, it was found that both OUL and UL have universal significance in increasing the levels of IRD and IAD in China; EI generally hurts the improvement of China's IRD level; Government intervention (GI) generally has a negative impact on the improvement of IAD levels in China. This study elucidates the relationship between IU and CEE, facilitating a balance between economic development and environmental conservation, thereby advancing sustainable development in China.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Driving factors and spatiotemporal differentiation of coupling coordination between industrial structure upgrading and carbon emission efficiency in China’s eight economic regions

  • 期刊论文

  • 发表日期：

    2025年7月22日

查看全文
  • Liping Wang,
  • Tianqi Zhang,
  • Chuang Li

摘要

Sustainable economic development can only be attained through the synergistic enhancement of carbon emission efficiency (CEE) and industrial structure upgrading (IU). Based on the perspective of regional comparison, the undesirable outputs Super-SBM model, spatial autocorrelation model, logarithmic mean division index (LMDI) model, and geographic detector are used to analyze the spatiotemporal differentiation and influencing factors of the coupling coordination degree between IU and CEE (IUD) in the eight economic regions of China from 2005 to 2022. It was found that ① The spatial differentiation of IUD in China presents an unbalanced pattern of "coastal leading and inland catching up". The Southwest Comprehensive Economic Region (SWER) has made the most significant progress, while the development of the Northwest Comprehensive Economic Region (NWER) needs to be given special attention; the IUD is highly unbalanced. ② The two types of coupling coordination degree exhibit a positive spatial correlation overall, with a U-shaped spatial correlation in the coupling coordination degree between industrial structure rationalization and carbon emission efficiency (IRD); The spatial correlation of coupling coordination degree between industrial structure advancement and carbon emission efficiency (IAD) is steadily increasing. ③ The LMDI model combined with the influence factor analysis of the geographical detector indicates that within the CCD, the coordination degree is the dominant factor for the change of CCD. In the IRD, the coupling effect and coordination effect are relatively balanced, while the long-term synergy mechanism between the NWER and CEE is lacking. The coupling effect between the industrial structure advancement (IA) and CEE is not prominent, but the coordination function is good, suggesting that China as a whole is at risk of "high-carbon path dependence". From the analysis of external factors, it is found that the key factors affecting IRD include the opening up level (OUL), energy intensity (EI), urbanization (UL), and industrial agglomeration degree (IGD). The key factors affecting IAD are OUL and EI. In further research on the influencing factors of IUD, it was found that both OUL and UL have universal significance in increasing the levels of IRD and IAD in China; EI generally hurts the improvement of China's IRD level; Government intervention (GI) generally has a negative impact on the improvement of IAD levels in China. This study elucidates the relationship between IU and CEE, facilitating a balance between economic development and environmental conservation, thereby advancing sustainable development in China.