Abstract
To measure and analyze the evolution characteristics and influencing factors of China’s industrial green development level is of great significance in achieving carbon neutrality goal. Based on the panel data from 2000 to 2018 of 30 provinces in China, this research uses the super slack-based measuring model and the Malmquist-Luenberger index to calculates China’s industrial green total factor productivity and to describe its evolution characteristics using the kernel density function and moreover uses the Spatial Durbin model and the partial differential method to explores its main influencing factors. This study finds that China’s overall industrial green development level is not high but shows an upward trend year by year; carbon emissions, fiscal decentralization, and urbanization are not conducive to improving the national industrial green development level, whereas economic development, foreign direct investment, industrial structure, and technological progress are positive contributors. At the same time, the level of economic development and technological progress have significant direct and spatial spillover effect. Our findings also provide some policy implications for improving China’s industrial green development.
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This research was funded by the National Social Science Fund General Project of China (No.19BGL092), the Innovation Strategy Research Project of Fujian Province (No. 2021R0156, No. 2022R0030), and the GF Securities Social Welfare Foundation Teaching, and the Research Fund for National Finance and Mesoeconomics.
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Conceptualization, HC and WZ; methodology, YS; software, YS; validation, HC, WZ, and YS; formal analysis, MX; investigation, HC; resources, ZX; data curation, YS; writing—original draft preparation, HC and YS; writing—review and editing, HC and YS; visualization, ZX and MX; supervision, WZ; project administration, HC; funding acquisition, WZ; All authors have read and agreed to the published version of the manuscript.
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Chen, H., Shi, Y., Xu, M. et al. China’s industrial green development and its influencing factors under the background of carbon neutrality. Environ Sci Pollut Res 30, 81929–81949 (2023). https://doi.org/10.1007/s11356-022-23636-y
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DOI: https://doi.org/10.1007/s11356-022-23636-y