组态视角下我国物流业绿色全要素生产率提升路径研究--基于Super-SBM-Malmquist与fsQCA方法  

Study on the Path of Green Total Factor Productivity Improvement in China’s Logistics Industry from the Perspective of Configuration--Based on the Super-SBM-Malmquist and the fsQCA Methods

作　　者：刘中艳[1] 黄盼 LIU Zhongyan;HUANG Pan(School of Business,Hunan University of Technology,Zhuzhou 412007,China)

机构地区：[1]湖南工业大学商学院,湖南株洲412007

出　　处：《黄山学院学报》2024年第2期48-56,共9页Journal of Huangshan University

基　　金：教育部高校人文社科项目(20YJC630137);湖南省教育厅重点项目(22A0403);湖南省社会科学成果评审委员会项目(XSP22YBZ034,XSP21YBC111);湖南省教育厅优秀青年项目(19B144)。

摘　　要：通过整合TOE框架,提取互联网发展水平、新能源比例、创新能力、物流业集聚程度、市场化水平和对外开放程度6个指标为前因变量,以物流业绿色全要素生产率为结果变量,将我国30个省(自治区、直辖市)数据作为研究样本,运用fsQCA方法揭示导致我国物流业产生高与非高绿色全要素生产率的组态路径。研究发现:“十三五”期间我国物流业绿色全要素生产率持续进步;大部分省市区的物流业绿色全要素生产率有提升;产生高物流业绿色全要素生产率的路径可归纳为“互联网-对外开放-创新”驱动型、“互联网-对外开放-新能源-物流业集聚”驱动型和“新能源-市场化-物流业集聚”驱动型三种。By integrating TOE framework and taking 30 provinces(autonomous regions and municipalities directly under the Central Government)as research samples,six indicators of Internet development level,proportion of new energy,innovation ability,logistics industry agglomeration,marketization level,and opening to the outside world,were extracted as antecedent variables,and logistics industry GTFP was taken as the result variable.The fsQCA method is used to reveal the configuration paths that lead to high and non-high GTFP in China’s logistics industry.The study found that during the“13th Five-Year Plan”period,the GTFP of China’s logistics industry continued to make progress,and the GTFP of the logistics industry in most provinces and cities has improved.The path to high green total factor productivity in the logistics industry can be summarized as“Internet-opening up-innovation”driven,“Internet-opening up-new energy-logistics industry agglomeration”driven and“new energy-marketization-logistics industry agglomeration”driven.

关 键 词：物流业 绿色全要素生产率 Super-SBM模型 fsQCA 组态分析 

分 类 号：F572[经济管理—产业经济]