热带地理2012，Vol.32Issue(5)：561-567,7.
基于ESDA方法与空间计量模型的旅游影响因素分析
Influencing Factors of Tourism Based on ESDA Method and Spatial Econometrics
摘要
Abstract
Exploratory spatial data analysis shows that there exists spatial autocorrelation of tourism among the provinces of China, where the tourism distribution presents a condition of obvious spatial cluster. A spatial econometric model is used to conduct an empirical study. The results of spatial lag model via likelihood estimation demonstrates that the parameter p is statistically significant both in total and domestic tourism revenue, that means that there is close correlation among the tourism revenues of the neighbouring provinces, and the spillover effect of domestic tourism revenue is greater than that of the total. Economic development level is the most important factor affecting the total, domestic and foreign tourism, and upper class tourism facilities, human resources, and tourism infrastructure are important factors affecting total and domestic tourism development. But inbound tourism model doesn't fit well.关键词
旅游业/影响因素/探索性空间数据分析(ESDA)/空间计量经济学模型Key words
tourism/ influencing factors/ Exploring Spatial Data Analysis/ Spatial Econometrics分类
管理科学引用本文复制引用
戈冬梅,姜磊..基于ESDA方法与空间计量模型的旅游影响因素分析[J].热带地理,2012,32(5):561-567,7.基金项目
毕节学院科学研究基金项目"毕节试验区乡村旅游发展模式研究"(20101003) （20101003）
国家建设高水平大学公派研究生项目(留金发[2011]3010) （留金发[2011]3010）
