绿色全要素生产率与旅游业高质量发展的多元模式——基于QCA方法的联动效应研究  

Multiple Models of Green Total Factor Productivity and High Quality Development of Tourism:A Study on the Linkage Effect Based on QCA Approach

作　　者：张洪[1] 薛亮 ZHANG Hong;XUE Liang(School of Business,Anhui University,Hefei 230039,China)

机构地区：[1]安徽大学商学院,安徽合肥230039

出　　处：《湖州师范学院学报》2024年第8期64-71,共8页Journal of Huzhou University

基　　金：安徽省哲学社会科学规划项目(AHSKQ2017D13)。

摘　　要：为有效且合理地配置各种要素,提升绿色全要素生产率,采用数据包络分析(DEA)方法和定性比较分析(QCA)方法,从组态的视角研究我国除港澳台外的31个省(区、市)各驱动要素与旅游业绿色全要素生产率之间的复杂关系.研究结果显示:不存在直接导致高绿色全要素生产率的必要条件,但交通发达程度较高的地区对提升旅游业绿色全要素生产率具有普适的推动作用;4条路径可以产生旅游业高绿色全要素生产率,这反映出我国各区域旅游业发展的不平衡和复杂机制.该研究结果可为我国各省(区、市)依据自身发展状况和阶段选择合适发展模式提供重要的理论和实践启示.In order to effectively and reasonably allocate various factors and improve green total factor productivity,data envelopment analysis(DEA)and qualitative comparative analysis(QCA)methods are used to study the complex relationship between various driving factors and green total factor productivity in the tourism industry in 31 provinces(regions,cities)of China except for Hong Kong,Macao,and Taiwan from a configuration perspective.The research results show that there are no necessary conditions that directly lead to high green total factor productivity,but areas with higher transportation development have a universal driving effect on improving green total factor productivity in the tourism industry;The four paths can generate high green total factor productivity in the tourism industry,reflecting the uneven and complex mechanisms of tourism development in various regions of China.The research results can provide important theoretical and practical insights for various provinces and cities in China to choose appropriate development models based on their own development status and stages.

关 键 词：绿色全要素生产率 DEA Malmquist指数 模糊集定性比较分析(fsQCA) 实现路径 

分 类 号：F590.3[经济管理—旅游管理]