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作 者:吕洁华[1] 刘梓田 张滨[1] 王潇涵 Lü Jiehua;Liu Zitian;Zhang Bin;Wang Xiaohan(Northeast Forestry University,Harbin 150040,P.R.China)
机构地区:[1]东北林业大学,哈尔滨150040
出 处:《东北林业大学学报》2020年第10期49-54,60,共7页Journal of Northeast Forestry University
基 金:黑龙江省哲学社会科学规划项目(17GLB012)。
摘 要:在构建旅游产业生态效率投入产出指标体系的基础上,运用三阶段数据包络分析、局部莫兰指数、空间滞后变系数回归模型,从空间角度对中国旅游产业生态效率进行实证分析。结果表明:引入环境因素的三阶段DEA,可以避免传统DEA模型对效率测度的偏误;调整后的效率测度结果显示,中国旅游产业存在从低生态效率集聚向高生态效率集聚转变的发展潜力,并且地区间生态效率差异随着环境因素的控制而得到有效降低,旅游产业生态效率在空间上呈现出收敛型集聚特征;中国旅游产业生态效率存在显著的省际空间溢出效应,从空间相邻关系看,高效率地区会产生向低效率地区的溢出或扩散,这种空间溢出主要体现在技术效率上。From the input-output index system of ecological efficiency of tourism industry,we used three-stage data envelopment analysis,local Moran index and spatial lag variable coefficient regression model to empirically analyze the ecological efficiency of China’s tourism industry from spatial perspective.The results show that the three-stage DEA with environmental factors can avoid the bias of efficiency measurement in the traditional DEA model.The adjusted efficiency measurement results show that China’s tourism industry has the development potential of transforming from low ecological efficiency agglomeration to high,and the differences of regional ecological efficiency are effectively reduced with the control of environmental factors,while the ecological efficiency of tourism industry presents the agglomeration characteristics dating back to spatial convergence.There are significant provincial spatial spillover effects in the ecological efficiency for China’s tourism industry.From the perspective of spatial adjacency,high efficient areas will produce spillover or diffusion to low efficient areas,which is mainly reflected in technical efficiency.
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