基于TSQCA分析的环境质量对经济增长的提升路径  

The Improvement Path of Environmental Quality to Economic Growth based on TSQCA Analysis

作　　者：张乔萌 高旭阔[1] ZHANG Qiao-meng;GAO Xu-kuo

机构地区：[1]西安建筑科技大学管理学院,陕西西安710055

出　　处：《生产力研究》2022年第3期25-28,131,F0003,共6页Productivity Research

基　　金：陕西省自然科学基金项目“陕西省关中地区污水处理投资效率及其时空演化分析研究”(2020JM-499)。

摘　　要：文章为探寻环境库茨涅茨曲线背后的作用机制,选取了2008年和2017年中国30个省级行政单位为研究对象,选择20个环境质量指标衡量工业排放、环保投资、空气质量、能源消耗、环境资源及环保产值6个被解释变量,3个经济增长指标衡量解释变量,通过熵值法计算各指标权重,在此基础上使用TSQCA方法探究环境质量对经济增长的提升路径,研究发现5个充分性条件组合可以提升各省份经济增长,且能源消耗和环境资源同时存在于多个组合路径中,且不相互矛盾,为影响较强的因素,而环境指标中能源消耗出现次数最高,说明环境质量中能源消耗是各省份经济发展的关键影响因素。In order to explore the mechanism behind the environmental Kuznets curve, this paper selects 30 provincial administrative units in China in 2008 and 2017 as the research objects.Select 20 environmental quality indicators to measure industrial emissions, environmental protection investment, air quality, energy consumption,environmental resources and environmental protection output value, 6 explained variables, 3 economic growth indicators to measure explanatory variables. The weight of each indicator is calculated by the entropy method, and on this basis, the TSQCA method is used to explore the improvement path of environmental quality on economic growth.Moreover, energy consumption and environmental resources exist in multiple combination paths at the same time, and they are not contradictory. They are factors with strong influence, and the number of occurrences of energy consumption in environmental indicators is the highest, indicating that the energy consumption of each province in environmental quality is the key influencing factors of the economic development of each province.

关 键 词：环境质量 熵值法 定性比较分析 经济增长 

分 类 号：F224.0[经济管理—国民经济] F062.2