Threshold effects of tourism agglomeration on the green innovation efficiency of China's tourism industry

作     者：Jia Liu Qiuyue Song Ning Liu Christina Gengging Chi 

作者机构：Management College Ocean University of China Marine Development Studies Institute Ocean University of China College of Basic Education Qingdao Institute of Technology School of Hospitality Business ManagementCarson College of Business Washington State University School of Tourism and Hospitality University of Johannesburg 

出 版 物：《Chinese Journal of Population,Resources and Environment》 (中国人口·资源与环境（英文版）)

年 卷 期：2018年第16卷第3期

页      面：277-286页

学科分类：12[管理学] 120203[管理学-旅游管理] 1202[管理学-工商管理] 

基　　金：supported by National Social Science Foundation of China "Quality of China's Tourism Economic Growth and Its Spatial Analysis"[Grant number:17FGL005] Social Science Planning Fund Program of Shandong Province "Research on the Mechanism of Dynamic Energy Conversion to Promote the Optimization of Tourism Industrial Structure in Shandong Province"[Grant Number:17CLYJ40] Social Science Planning Fund Program of Qingdao City "The Way of Improving the Quality of Tourism Economic Growth in Qingdao"[Grant Number:QDSKLl701014] 

主　　题：Tourism agglomeration green innovation efficiency threshold effect 

摘      要：Industrial agglomeration is an essential and effective way to integrate resources and elements. Its impact on the green innovation efficiency of the tourism industry is a process of continuous development and dynamic change. This paper, based on the provincial panel data from 2006 to 2015, uses super SBM model to measure the green innovation efficiency of China s tourism *** threshold regression model is employed to conduct empirical tests of the nonlinear threshold effect of agglomeration on the green innovation efficiency of tourism industry. The inter-provincial differences of various threshold effects and their possible causes are analyzed. Results indicate that the green innovation efficiency of China s tourism industry is generally growing, while regional disparity is significant with a gradient decrease along the eastern-central-western regions. There is an obvious positive nonlinear relationship between tourism agglomeration and green innovation efficiency. It is also found that with the increase of agglomeration, its influence is at a high level. As the level of agglomeration crosses the first threshold, its impact is at a low level, and when it crosses the second threshold, the impact of tourism agglomeration is at an intermediate level. Finally, this paper proposes the basic path and some policy recommendations to promote the green innovation efficiency of the tourism industry in China.