Analysis of the Spatial and Temporal Evolution of Energy-Related CO 2 Emissions in China’s Coastal Areas and the Drivers of Industrial Enterprises above Designated Size—The Case of 82 Cities

Ye Duan, Juanjuan Zhong, Hongye Wang () and Caizhi Sun
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Ye Duan: School of Geographical Sciences, Liaoning Normal University, Dalian 116029, China
Juanjuan Zhong: School of Geographical Sciences, Liaoning Normal University, Dalian 116029, China
Hongye Wang: School of Economics and Management, Dalian University of Technology, Dalian 116024, China
Caizhi Sun: Research Center for Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, China

Sustainability, 2023, vol. 15, issue 18, 1-18

Abstract: The energy consumption by industrial enterprises above designated size in China’s coastal region is the main source of CO 2 emissions. This study analyzes the spatial and temporal evolution patterns and driving factors of CO 2 emissions due to the energy consumption by industrial enterprises above designated size. Enterprises in 82 cities in China’s coastal regions were studied from 2005 to 2020 based on their CO 2 emissions and socio-economic data. The Exploring Spatial Data Analysis (ESDA) methodology and Logarithmic mean Divisia Index decomposition (LMDI model) were used. The results show that, during the study period, energy-related CO 2 emissions from industrial enterprises above designated size in China’s coastal areas generally show a fluctuating upward trend. However, a few cities showed a trend from steady growth to a peak and then a slow decline, which may realize the “double carbon” target in advance. The spatial correlation of CO 2 emission intensity showed a decreasing and then increasing trend, and there were spatial aggregation characteristics in some cities. Among the driving factors, the pull effect is higher than the inhibition effect; the output scale contributes the most to the pull effect, and labor productivity contributes the most to the inhibition effect. The results of this study have a certain reference value for the realization of the “double carbon” target in China’s coastal regions.

Keywords: industrial enterprises above designated size in China’s coastal region; energy-related CO 2 emissions; spatial and temporal evolution characteristics; LMDI model; driving factors (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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