Abstract
Improving the efficiency of factor allocation, breaking the resource curse, and achieving high-quality economic development are an urgent concern in resource-based cities. Using the panel data of 116 prefecture-level resource-based cities in China from 2005 to 2020, this paper constructs the data envelopment analysis-Malmquist index model to measure the level of high-quality economic development; to construct a resource misallocation growth accounting model based on the total production function to measure the distortion coefficient, the threshold panel model is employed to explore the threshold effect of factor market distortion on high-quality economic development. The results yielded three important findings: (1) The green total factor productivity of resource-based cities in China presents spatial heterogeneity and type heterogeneity. (2) Factor market distortion gradient standards are proposed innovatively, and the factor market distortion level shows the spatial heterogeneity and type heterogeneity. (3) The influence of factor market distortion on high-quality economic development in resource-based cities presents a double threshold effect. According to the above research conclusions, this paper gives several policy recommendations to promote the factor marketization allocation and high-quality economic development of resource-based cities.
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This study was funded by the Natural Science Foundation of Shandong Province, grant number ZR2020QG042; National Natural Science Foundation of China, grant number 72274212; and National Natural Science Foundation of China, grant number 71874202.
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Conceptualization: Jiaming Wang and Lianyong Feng; methodology: Jiaming Wang and Bo Li; software: Jiaming Wang and Bo Li; validation: Jiaming Wang and Lianyong Feng; formal analysis: Jiaming Wang and Bo Li; investigation: Jiaming Wang and Lianyong Feng; resources: Jiaming Wang and Lianyong Feng; data curation: Bo Li; writing—original draft preparation: Jiaming Wang and Bo Li; writing—review and editing: Jiaming Wang, Lianyong Feng, and Bo Li; visualization: Jiaming Wang; supervision: Jiaming Wang and Lianyong Feng; project administration: Jiaming Wang and Lianyong Feng; funding acquisition: Jiaming Wang and Lianyong Feng.
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Wang, J., Feng, L. & Li, B. The heterogeneity impact of factor market distortions on GTFP: from the view of resource-based cities. Environ Sci Pollut Res 30, 78108–78126 (2023). https://doi.org/10.1007/s11356-023-27738-z
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DOI: https://doi.org/10.1007/s11356-023-27738-z