Spatiotemporal Coupling Effect of Regional Economic Development and De-Carbonisation of Energy Use in China: Empirical Analysis Based on Panel and Spatial Durbin Models

Xintong Zhang, Cuijie Lu (), Yuncai Ning and Jingtao Wang
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Xintong Zhang: School of Management, China University of Mining and Technology, Beijing 100083, China
Cuijie Lu: School of Management, China University of Mining and Technology, Beijing 100083, China
Yuncai Ning: School of Management, China University of Mining and Technology, Beijing 100083, China
Jingtao Wang: School of Management, China University of Mining and Technology, Beijing 100083, China

Sustainability, 2022, vol. 14, issue 16, 1-22

Abstract: The synergistic development of economic construction and low-carbon transformation of energy systems must be promoted for building a green, low-carbon, and cyclic economic system and achieving the “double carbon” goal in China. Based on the panel data of 30 provincial-level administrative regions in China from 2015 to 2019, the global entropy method, coupling coordination degree model, and spatial statistical analysis methods are applied to analyse the factors affecting the coupling effect. The coordination degree increased in the study period, with Beijing, Shanghai, Tianjin, Jiangsu, and Zhejiang being the regions with the highest values. The spatial distribution of the coupling coordination degree is strongly positively correlated with the eastern provincial-level administrative regions located in the high–high concentration area of the Moran scatterplot and western provincial-level administrative regions concentrated in the low–low concentration area. The spatial association pattern is stable in the study period, with only two provinces exhibiting a transition: Shandong province made the transition to high–high agglomeration areas, and Liaoning province made the transition to low–low agglomeration areas. The level of regional economy, urbanization process, energy consumption structure, and level of investment in science and innovation enhance the coupling coordination degree, whereas the industrial structure deteriorates this degree.

Keywords: regional economic development; low-carbonisation of energy consumption; global entropy method; coupling coordination; Moran index; spatial agglomeration; spatial Durbin model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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