Spatiotemporal dynamics of industrial carbon emission efficiency and its influencing factors in the Pearl River Basin

YIN Jian; MENG Yini; JIANG Hongtao

doi:10.13205/j.hjgc.202504004

Volume 43 Issue 4

Apr. 2025

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2025 > 43(4): 36-45

YIN J，MENG Y N，JIANG H T.Spatiotemporal dynamics of industrial carbon emission efficiency and its influencing factors in the Pearl River Basin［J］.Environmental Engineering，2025，43（4）：36-45. doi: 10.13205/j.hjgc.202504004

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Spatiotemporal dynamics of industrial carbon emission efficiency and its influencing factors in the Pearl River Basin

doi: 10.13205/j.hjgc.202504004

YIN Jian^1,2,
MENG Yini^1,2,
JIANG Hongtao^{1,2,3
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1. Center for China Western Modernization, Guizhou University of Finance and Economics, Guiyang 550025, China;
2. College of Big Data Application and Economic, Guizhou University of Finance and Economics, Guiyang 550025, China;
3. School of Economics and Management, Tongji University, Shanghai 200082, China

Received Date: 2024-04-03
Accepted Date: 2024-09-03
Rev Recd Date: 2024-08-16
Publish Date: 2025-04-01

Abstract

Abstract

Industry is an important engine of the national economy and a major source of carbon emissions. Research on industrial carbon emissions is crucial to achieving the "dual carbon" goal and regional sustainable development. The Pearl River Basin is a key area for economic and ecological environmental protection in China. However， there is no research on industrial carbon emissions in the Pearl River Basin. The industrial carbon emission efficiencies of 47 cities in the Pearl River Basin from 2009 to 2020 were evaluated using the super-efficiency SBM model. The spatial distribution characteristics and changes in local spatial relations of these cities' industrial carbon emission efficiencies were explored employing Moran's Index and LISA temporal transition methods. A geographical detector was used to identify the main influencing factors and their interactions， and a multi-scale geographically weighted regression model was applied to analyze the spatial heterogeneity of the influencing factors. The study found an overall rising trend in industrial carbon emission efficiency in the Pearl River Basin， with an average annual growth rate of 5.16%. Spatial distribution indicates that high-efficiency cities are concentrated in areas like Fangchenggang and Yuxi， while low-efficiency cities are primarily heavy industrial cities. The main factors affecting industrial carbon emission efficiency include productivity level，openness degree， and industrialization level. The influence of productivity level on industrial carbon emission efficiency diminished gradually in the eastern part of the basin， the degree of openness exhibits a negative impact on industrial carbon emission efficiency in most cities， and the impact of industrialization level varies， with higher values in developed regions and lower values in less-developed regions.

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