Data-Driven Spatial Econometric Analysis Model for Regional Tourism Development

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Abstract

Taking 16 cities in Anhui province as research units, based on the research perspective of spatial econometrics, using spatial autocorrelation analysis, this paper investigates the spatial correlation of regional tourism industry in Anhui province, indicating that regional per capita tourism income in Anhui province has obvious positive spatial autocorrelation and relatively obvious local spatial cluster characteristics. To further explore the influence factors of the development level of the regional tourism industry in Anhui and construct the spatial econometric model, the model results show that the Anhui tourism industry development has been accompanied by spatial agglomeration process, per capita GDP, the number of star-rated hotels, fixed assets investment, and employment in the tertiary industry which play a significant role for tourism development. Finally, some countermeasures and suggestions are put forward to promote the development of regional tourism in Anhui province.

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Zhao, X., & Yu, G. (2021). Data-Driven Spatial Econometric Analysis Model for Regional Tourism Development. Mathematical Problems in Engineering, 2021. https://doi.org/10.1155/2021/6631833

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