提升绿色全要素生产率的配置路径

Yani Guo, Yunjian Zheng
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引用次数: 0

摘要

绿色全要素生产率(GTFP)是评估经济高质量发展的关键指标。作者研究了GTFP增强的构型途径。研究人员使用了中国30个省市(不包括西藏、香港、澳门和台湾)的数据作为案例研究。本研究表明,GTFP受区域创新能力和数字金融发展等六个因素的影响。这些因素促成了实现高GTFP的三种配置途径:以创新为导向、以经济增长为导向和综合协同途径。同时,一些因素之间存在着一致性和可替代性。本文的创新之处在于将模糊集定性比较分析方法引入GTFP的研究中。它可以丰富GTFP领域的理论研究,为中国和其他经济发展模式相似的国家改进GTFP提供有价值的参考和路径选择。
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Configuration Pathways to Enhance Green Total Factor Productivity
Green total factor productivity (GTFP) is a key metric in assessing the high-quality development of the economy. The authors investigate the configuration pathways by which GTFP can be enhanced. The researchers used data from 30 provinces and municipalities in China (excluding Tibet, Hong Kong, Macau, and Taiwan) as case studies. This study demonstrates that GTFP is influenced by six factors, such as regional innovation ability and digital financial development. These factors contribute to three configuration pathways for achieving high GTFP: innovation market-oriented, economic growth-oriented, and integrated synergistic pathways. Meanwhile, there is consistency and substitutability between some factors. The innovation of this paper lies in the introduction of the fuzzy set qualitative comparative analysis (fsQCA) method into the research on GTFP. It can enrich the theoretical research in the field of GTFP and provide valuable reference and pathway options for improving GTFP in China and other countries with similar economic development patterns.
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来源期刊
International Journal of Fuzzy System Applications
International Journal of Fuzzy System Applications Computer Science-Computer Science (all)
CiteScore
2.40
自引率
0.00%
发文量
65
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