Influencing Factors of Tourism Based on ESDA Method and Spatial Econometrics
Lei Jiang
Abstract
Lei Jiang
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 ρ 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.
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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 ρ 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.
Key concepts: Tourism, Spatial econometrics, Spatial analysis, Revenue, Domestic tourism, Econometric model, China, Spillover effect