摘要
受资源禀赋、地理区位、经济水平等因素的影响,环渤海区域旅游发展水平不尽相同,非均衡性问题日益突显,且差距有拉大的趋势。空间自相关是一种空间统计分析方法,旨在探索旅游要素的空间分布规律和作用机制。根据2004—2013年的数据,计算环渤海地区的接待入境旅游人数、国际旅游外汇收入、国内旅游人数、国内旅游收入4组全局Moran’s I值,分析该时期环渤海区域旅游空间集聚演变过程。在局部空间自相关方面,选取2013年截面数据,通过Moran散点图和LISA分析,探究环渤海区域旅游发展相关程度和集聚情况,为区域旅游发展政策制定提供决策依据。
Tourism is one of high correlation and high pulling strength comprehensive industry. Because oftourism resources, location and economic level, tourism development is different in Bohai Bay Rim area and the gaphas the trend of widening. Spatial autocorrelation is a kind of spatial statistics analysis method, which explores thespace distribution regularity of elements and mechanism of action. According to the data from 2004 to 2013, the pa-per calculated the global Moran' s I of inbound tourists number, foreign exchange earnings from internationaltourism, domestic tourists number, domestic tourism revenue and analysed the evolution of the spatial agglomerationprocess. In terms of local spatial autocorrelation, the parper selected the cross section data in 2013 and analysedthe Moran scatter plot and LISA value to study tourism development correlation degree and concentration conditionsin Bohai Bay Rim and to provide policy support basis for the region tourism development.
出处
《地域研究与开发》
CSSCI
北大核心
2015年第3期91-95,共5页
Areal Research and Development
基金
教育部规划基金项目(14YJA790059)
河北省高等学校自然科学重点研究项目(ZD20131021)
河北省自然科学基金项目(G2014203273)
河北省软科学项目(15456002D)
关键词
旅游非均衡
空间统计分析
区域旅游发展
空间差异
环渤海区域
tourism unbalance
Bohai-sea regionspatialstatistical
regional tourism development
spatial variability
circum-Bohai-sea region