中国旅游生态效率与旅游绿色创新效率的耦合协调时空特征及其影响因素

Temporal and Spatial Characteristics and Influencing Factors of Coupling Coordination Between China’s Tourism Eco-efficiency and Tourism Green Innovation Efficiency

采用超效率—DEA模型分别测算2008—2017年中国31省(区、市)的旅游生态效率与旅游绿色创新效率,再结合耦合协调模型测算评价二者的耦合协调度及其时空耦合特征,最后借助地理探测器探究二者耦合协调的影响因素。结论表明:1)研究期内,中国旅游生态效率与旅游绿色创新效率的耦合协调度主要处于勉强协调阶段,时序演变不大;省域耦合协调主要处于中级协调阶段,其次为勉强协调、濒临失调阶段。2)二者耦合协调度呈现显著的空间正相关关系,空间分布演变不大,中西部省份主要处于“低—低”“低—高”空间集聚区,东部发达省份主要位于“高—高”集聚区,“高—低”集聚区自“东—中—西”方向移动。3)影响二者耦合协调度的显著因素,按影响力从大到小依次为产业结构、政府规制、经济发展水平、城镇化水平、对外开放程度。

The paper uses the Super-DEA model to measure the tourism eco-efficiency and tourism green innovation efficiency of 31 provinces (cities, districts) in China from 2008 to 2017. Combining the coupling coordination model, it evaluates the coupling coordination degree and its spatio-temporal coupling characteristics. Finally, it explores the influencing factors of the coupling and coordination with geo-detectors. The conclusions show that: 1) During the study period, the coupling coordination degree between China’s tourism eco-efficiency and tourism green innovation efficiency is mainly in the reluctance coordination stage, and the time series evolution is not large;the inter-provincial coupling coordination is mainly in the intermediate coordination stage, followed by reluctance coordination and on the verge of coordination stage. 2) The coupling degree shows a significant spatial positive correlation, and the spatial distribution does not evolve much. The central and western provinces and cities are mainly in the “low-low”and “low-high” space gathering areas, and the eastern developed provinces and cities are mainly located in the “high-high” cluster area, “high-low” cluster area moved from “east-medium-west” direction. 3) The influence degree of the significant factors from large to small is the industrial structure, government regulation, economic development level, urbanization level and degree of openness.