Journal of Northeastern University(Social Science) ›› 2025, Vol. 27 ›› Issue (6): 49-56.DOI: 10.15936/j.cnki.1008-3758.2025.06.006

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Driving Factors and Multiple Path Selection of Provincial Green Development in China:An Empirical Analysis Based on PEST Framework

Weiwei LI, Yating CHI, Pingtao YI   

  1. School of Business Administration,Northeastern University,Shenyang 110169,China
  • Received:2024-07-06 Online:2025-11-25 Published:2025-12-03

Abstract:

In order to address the issue of drivers and path selection of green development in Chinese provinces, the green development level of 30 provincial-level regions in 2023 and their drivers and development paths are analyzed based on the PEST theoretical framework and the fuzzy set qualitative comparative analysis (fsQCA) method. The results show that, a single factor does not constitute a necessary condition for high green development in a province, but informationalized level plays a universal role in promoting green development; there are three kinds of multiple paths that can realize the high level of green development in the regions, the ‘political-technological driven model with economic support’, the ‘political-technological driven model reliant on society trust’ and the ‘social-technological dual-driven model’, as well as three kinds of groupings that lead to the low level of green development in the regions, and there is a causally asymmetric relationship between the two types of groupings.

Key words: green development, PEST framework, conditional configuration, fuzzy set qualitative comparative analysis (fsQCA)

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