组态视角下交通运输绿色全要素生产率提升路径研究

Improvement Path of Green Total Factor Productivity in Transportation from the Perspective of Configuration

从组态视角,在采用DEA-Malmquist模型测算2010-2019年中国部分省份交通运输绿色全要素生产率(GTFP)的基础上,利用模糊集定性比较分析方法(fsQCA)探究区域经济、产业结构、交通投资、技术创新、信息化水平、污染治理和政府支持7个影响因素对交通运输GTFP的影响机制。研究发现:(1)必要性检验表明单个变量不能构成交通运输GTFP变化的必要条件。(2)促进型组态结果显示存在3种交通运输GTFP提升路径:L1:交通投资-信息化支撑型路径;L2:经济主导-环境规制型路径;L3:社会经济-环境规制-政府支持型路径。(3)抑制型组态结果显示存在6条交通运输GTFP抑制路径。北京、天津和重庆可通过加强污染治理力度以避免进入低效发展路径。

From the configuration perspective,based on the green total factor productivity(GTFP)of transportation in 30 Chinese provinces from 2010 to 2019 measured DEA-Malmquist model,the fuzzy-set qualitative comparative analysis(fsQCA)was used to explore the influence mechanisms of seven influencing factors on transportation GTFP:regional economy,industrial structure,transportation investment,technological innovation,informatization level,environmental constraint,and government support.It finds that the necessity test indicates that individual variables have poor explanatory power for changes in transportation GTFP.The facilitative configuration results show three paths of transportation GTFP improvement:L1,transportation investment-IT support path;L2,economy-led-environmental regulation path;L3,social-economic development-environmental regulation-government support path.The suppression configuration results show six transportation GTFP suppression paths.Beijing,Tianjin,and Chongqing should strengthen pollution control to avoid entering the inefficient development path.