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Dynamic evolutionary characteristics and influence mechanisms of carbon emission intensity in counties of the Yangtze River Delta, China

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Abstract

Clarifying the intrinsic mechanism of county carbon emission intensity (CEI) is essential for guiding the realization of a low-carbon economy as well as for the strategic goals of carbon peaking and carbon neutrality. However, at present, scholars mostly focus on provincial and city scales, with the identification of influencing factors and spatial effect mechanisms of CEI rarely included in the analysis framework. Herein, with the help of three spatial weight matrices, the spatial autocorrelation, the “F + S” influence factor identification method, and the spatial panel econometric model were used to analyze the evolutionary paths and influencing factors of CEI for 209 counties in the Yangtze River Delta (YRD) from 2007 to 2020. The results show that (1) the CEI of the YRD decreased from 1.998t/104 RMB to 0.858t/104 RMB. Furthermore, the spatial pattern was low in the southeast and high in the northwest, with high-value areas concentrated in municipal districts and resource-based counties. (2) Moran’s I spatial autocorrelation index indicated significant spatial clustering of county CEI. (3) Financial science and technology expenditure, industrial structure, share of urban built-up land, and the urban–rural income gap affected the change in CEI and its spatial effect, whereas total imports and exports had a significant negative effect on local CEI. Therefore, to achieve China’s “double carbon” goal, it is necessary to consider the five development concepts as the core, strengthen inter-county exchanges and collaboration, as well as promote collaborative management of the ecological environment.

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Data availability

The datasets used and/or analyzed in this study are available from the corresponding author upon reasonable request.

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Acknowledgements

This research was supported by the National Key R&D Program of China (2018YFD1100101), National Natural Science Foundation of China (42101318), and Natural Science Foundation of Jiangsu Province, China (BK20200109).

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Authors and Affiliations

  1. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China

    Zhiyuan Ma, Xuejun Duan, Lei Wang, Yazhu Wang, Jiayu Kang & Ruxian Yun

  2. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China

    Zhiyuan Ma, Xuejun Duan, Lei Wang, Yazhu Wang, Jiayu Kang & Ruxian Yun

  3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China

    Jiayu Kang

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  1. Zhiyuan Ma
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  4. Yazhu Wang
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Contributions

Zhiyuan Ma, Jiayu Kang, and Ruxian Yun contributed to data collection and analysis; Xuejun Duan and Lei Wang designed the research and provided guidance on manuscript writing, and Zhiyuan Ma and Yazhu Wang wrote the manuscript. All authors have read and approved the final manuscript.

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Correspondence to Xuejun Duan.

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Ma, Z., Duan, X., Wang, L. et al. Dynamic evolutionary characteristics and influence mechanisms of carbon emission intensity in counties of the Yangtze River Delta, China. Environ Sci Pollut Res 30, 119974–119987 (2023). https://doi.org/10.1007/s11356-023-30392-0

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