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基于空间统计分析的我国旅游业与生态环境协调发展研究 被引量:19

Study on the Coordinated Development of Tourism and Ecological Environment in China Based on the Spatial Statistics Analysis
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摘要 文章构建了我国旅游业与生态环境耦合协调发展模型,并运用空间统计分析法探究各省份旅游业与生态环境协调性的空间关联效应,所用数据为我国31个省市区近六年的旅游业发展及生态环境数据,所用空间统计分析方法为全局和局部Moran指数检验及LISA显著性检验。结果显示:上海、江苏、安徽、江西、福建5省市属于"高—高"关联区域,是旅游业和生态环境协调发展的增长极,对整个东部地区具有显著的正向辐射效应;西部地区通过显著性检验的是新疆和甘肃两地,是"低—低"关联区域的集聚点,需要重点引导和扶持;中部地区则主要属于"高—低"或"低—高"关联模式,桥梁纽带作用凸显。根据以上分析,文章对我国旅游业和生态环境的协调发展提出了相关建议。 Based on the sample of 31 provinces in recent six years, this paper constructs a coupling coordinated development model of tourism and ecological environment and uses spatial statistical analysis method to explore the spatial correlation effect of the coordination between tourism and ecological environment in different provinces. The global and local Moran index test and LISA significance test were used in this paper. The result shows that Shanghai, Jiangsu, Anhui, Jiangxi, Fujian Province constitute the "high-high" related area in the east, and this growth pole has significant positive radiation effect for the whole eastern region; Xinjiang and Gansu is a significant "low-low" regional in the western region, and this area needs to be energetically supported; the central region mainly belongs to the "high- low" or "low-high" correlation patterns, this region functions as a bridge. According to the arialyses above, this article puts forward some suggestions on the coordinated development of tourism and the ecological environment.
出处 《生态经济》 CSSCI 北大核心 2015年第10期90-94,共5页 Ecological Economy
基金 河北省高等学校自然科学重点研究项目(ZD20131021) 教育部规划基金项目(14YJA790059) 河北省自然科学基金(G2014203273) 河北省软科学项目(1545600D)
关键词 旅游业 生态环境 Moran’s I检验 协调发展研究 空间统计分析 tourism industry ecological environment Moran's I test coordinated development research spatial statistics analysis
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