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Research on Multiple Enhancement Paths of Green Total Factor Productivity--Group analysis based on the TOE framework
- 1 Harbin University of Commerce
* Author to whom correspondence should be addressed.
Abstract
This study uses the fuzzy set qualitative comparative analysis (fsQCA) method with 30 administrative divisions in China as the case, and carries out research and analysis based on the TOE framework to explore the role paths of five factors, namely, the development of digital finance, the level of green innovation, the construction of the talent system, the government's support capacity, and the social financing environment, on the green total factor productivity, the goal is to identify a range of options to push the economy in the direction of green development. The study found that: a single prerequisite is not necessarily a prerequisite for high green total factor productivity; the five factors that drive green total factor productivity include: “technology-financial-driven”, “technology-talent-driven”, “technology-resource-driven”, “technology-environment-driven” and “technology-government-driven”; the development of digital finance at the technology level and the level of green innovation plays a very important role. Hence, when it comes to governance, varying strategies should be implemented in different areas to encourage the advancement of environmentally friendly economic growth.
Keywords
green total factor productivity, multiple paths, fuzzy set qualitative comparative analysis, TOE framework
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Cite this article
Ma,X. (2024). Research on Multiple Enhancement Paths of Green Total Factor Productivity--Group analysis based on the TOE framework. Journal of Applied Economics and Policy Studies,10,15-26.
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