Research on Characteristic Factors and Multiple Promotion Paths of China's Industrial Green Total Factor Productivity Based on fsQCA

doi:10.12005/orms.2022.0196

Operations Research and Management Science ›› 2022, Vol. 31 ›› Issue (6): 154-160.DOI: 10.12005/orms.2022.0196

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Research on Characteristic Factors and Multiple Promotion Paths of China's Industrial Green Total Factor Productivity Based on fsQCA

QU Xiao-yu¹, ZHAO Zi-xuan²

1. School of Management, Dalian Polytechnic University, Dalian 116034, China;
2. School of Economics and Management, Dalian University of Technology, Dalian 116024, China

Received:2020-07-12 Online:2022-06-25 Published:2022-07-20

中国工业绿色全要素生产率特征要素及多元提升路径研究——基于fsQCA方法

曲小瑜¹, 赵子煊²

1.大连工业大学管理学院,辽宁大连 116034;
2.大连理工大学经济管理学院,辽宁大连 116024

通讯作者: 曲小瑜(1988-),女,辽宁大连人,副教授,博士,硕士生导师,研究方向:绿色创新管理。
作者简介:赵子煊(2000-),男,河南焦作人,硕士研究生,研究方向:绿色创新管理。
基金资助:
国家自然科学基金资助项目(71802035);辽宁省教育厅基金资助项目(LJKR0204);辽宁省哲学社会科学青年人才培养对象委托课题(2022lslwtkt005)

Abstract

Abstract: Taking 30 provinces and municipalities in China as case samples, this paper discusses the multiple concurrency characteristic factors that affect China's regional industrial green total factor productivity, and makes a comparative analysis of the antecedent paths to increase industrial green total factor productivity by fsQCA. It finds that market-oriented environmental regulation and informatization degree are the key factors for improving industrial green total factor productivity, while factor structure and administrative environmental regulation have no obvious effect on industrial green total factor productivity. Economically developed regions can increase R&D investment of industrial enterprises to improve industrial green total factor productivity, while underdeveloped regions can strengthen the collection of sewage charges to achieve the improvement of industrial green total factor productivity.

Key words: industrial green total factor productivity, factors matching, multiple promotion paths, fsQCA

摘要： 本文以中国30个省、自治区、直辖市为案例样本,运用模糊集定性比较分析(fsQCA)方法,探讨影响中国区域工业绿色全要素生产率的多重并发性特征要素,并对提升工业绿色全要素生产率的前因组合路径进行比较分析。研究发现:市场型环境规制和信息化程度是提高工业绿色全要素生产率的关键因素;要素结构和行政型环境规制对工业绿色全要素生产率的提升无明显影响;经济发达地区可以加大工业企业研发投入以提高工业绿色全要素生产率,而经济欠发达地区可以加强排污费征收力度以实现工业绿色全要素生产率提升。

关键词: 工业绿色全要素生产率, 要素匹配, 多元提升路径, 模糊集定性比较分析

CLC Number:

F425

QU Xiao-yu, ZHAO Zi-xuan. Research on Characteristic Factors and Multiple Promotion Paths of China's Industrial Green Total Factor Productivity Based on fsQCA[J]. Operations Research and Management Science, 2022, 31(6): 154-160.

曲小瑜, 赵子煊. 中国工业绿色全要素生产率特征要素及多元提升路径研究——基于fsQCA方法[J]. 运筹与管理, 2022, 31(6): 154-160.

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Research on Characteristic Factors and Multiple Promotion Paths of China's Industrial Green Total Factor Productivity Based on fsQCA

中国工业绿色全要素生产率特征要素及多元提升路径研究——基于fsQCA方法

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