Multiple Models of Green Total Factor Productivity and High-Quality Development of Tourism:A Study on the Linkage Effect Based on QCA Approach
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.
green total factor productivityDEA-Malmquist indexfuzzy set qualitative comparative analysis(fsQCA)implementation path