基于GWR模型的省域旅游影响因素空间差异分析  

The Spatial Disparity Analysis of Determinants of Tourism at Provincial Levels Based on GWR

作　　者：戈冬梅[1] 姜磊[2,3] 

机构地区：[1]毕节学院地理与生命科学学院,贵州毕节551700 [2]格罗宁根大学空间科学学院经济地理系 [3]华东师范大学地理信息科学教育部重点实验室,上海200062

出　　处：《生态经济》2013年第7期93-97,132,共6页Ecological Economy

基　　金：国家建设高水平大学公派研究生项目(留金发[2011]3010);国家自然科学基金项目"中国知识创新溢出与可持续发展研究"(40671074);毕节学院科学研究基金项目(20101003)

摘　　要：利用地理加权回归(geographically weighted regression,GWR)方法,以中国31个省域为例,研究省域旅游影响因素的空间差异,估算出各个地区旅游影响因素的弹性系数。结果表明:经济发展水平和基础设施是影响中国大部分省域旅游发展最为重要的因素,经济发展水平变量弹性系数在东北、华东、华北、西北地区较大;基础设施则对华中、华南及西南地区旅游较大影响;人力资源变量在东北和华北地区起到了主导作用,而旅游上层设施在西北地区的拉动作用明显。最后提出,各个地区应该制定差异化的旅游政策做引导,从而使各个地区旅游发展越来越好,也有利于全国旅游水平总体提高。The paper employs geographically weighted regression to have a research on the determinants of tourism at provincial level. The results show that there is spatial disparity among the influencing factors of tourism in China. The coefficients of each determinants are estimated by using GWR method. Some useful findings can be obtained that both economic growth and infrastructure, which have significant effects on tourism, are of vital importance for most regions in China. The elasticity of coefficients are lager in western regions and infrastructure variable has a more effect on tourism in Southeast and south regions. Human capital variable plays a more important role in Northeast and North China and tourism upper facilities can provide an obvious effective impetus to the growth of economy in western regions. Finally, the output of the study can be taken as theoretical evidence for differential policies for policy-makers to promote tourism development of each region, which is of a great benefit for the national tourism industry.

关 键 词：旅游 影响因素 空间异质性 地理加权回归(GWR) 

分 类 号：F592[经济管理—旅游管理]