摘要
采用Super-SBM方法将环境因素作为非期望产出纳入旅游经济效率测算框架,结合空间计量经济方法分析2005-2016年我国省域旅游经济效率空间关联性及影响因素溢出效应,结果显示:环境约束下,我国省域旅游经济具有一定的空间集聚趋势,呈现出"东南热、西北冷"的分布特征,尚未实现网状结构均衡发展;我国省际旅游经济效率间存在显著的空间溢出作用。对于环境约束下旅游经济效率发展来说,人均GDP、技术创新、市场化、环境规制均有显著的正向作用,路网密度作用不显著,外国直接投资(FDI)有显著的负向作用。影响因素的溢出效应来看,市场化、经济增长、技术创新具有显著的积极间接溢出效应,但环境规制带来了显著的负向间接溢出效应,FDI与路网密度的间接溢出效应不显著。
Taking environmental factors into the calculation framework of tourism economic efficiency,based on the 2005-2016 year provincial panel data,the spatial pattern and spillover effect of China’s provincial tourism economic efficiency are studied by using the spatial econometric analysis method. The results show that there is a certain trend of spatial agglomeration in the provincial tourism economy in China,showing"hot in the southeast and cold in the northwest"characteristics,and having not yet achieved the balanced development of network structure. There is a significant spatial spillover effect between China’s inter provincial tourism economic efficiency. For the development of tourism economic efficiency under environmental constraints,the per capita GDP,technological innovation,marketization and environmental regulation have significant positive effects,the density of road network is not significant,and FDI has a significant negative effect. The spillover effect of influencing factors shows that marketization,economic growth and technological innovation have significant positive indirect spillover effects. However,formal environmental regulation has brought a significant negative indirect spillover effect. The indirect spillover effect of FDI and road network density did not pass significant test.
作者
曾冰
Zeng Bing(Jiangxi Institute of Economic Development,Jiangxi University of Finance and Economics,Nanchang 330013,China)
出处
《技术经济》
CSSCI
北大核心
2020年第6期141-146,174,共7页
Journal of Technology Economics
基金
国家自然科学基金“环境政策、偏向型技术进步与内生经济增长:机理与制度设计”(71763011)
江西省教育厅科技项目“策略性行为视角下长江中游城市群网络结构形成演进及其经济增长”(GJJ190285)。
关键词
环境约束
旅游经济效率
空间关联性
溢出效应
影响因素
environmental constraints
tourism economic efficiency
spatial pattern
spillover effect
influencing factors