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Data-Driven Spatial Econometric Analysis Model for Regional Tourism Development
Mathematical Problems in Engineering Pub Date : 2021-05-08 , DOI: 10.1155/2021/6631833
Xuemei Zhao 1 , Guofeng Yu 1
Affiliation  

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.

中文翻译:

数据驱动的区域旅游开发空间计量经济分析模型

以安徽省16个城市为研究单位,基于空间计量经济学的研究视角,运用空间自相关分析方法,对安徽省区域旅游产业的空间相关性进行了研究,表明安徽省区域人均旅游收入具有显着性。正的空间自相关和相对明显的局部空间聚类特征。为进一步探究安徽区域旅游产业发展水平的影响因素并构建空间计量经济模型,模型结果表明安徽旅游产业发展伴随着空间集聚过程,人均GDP,星级数的增长。等级酒店,固定资产投资,第三产业的就业和就业对旅游业发展起着重要作用。最后,提出了促进安徽省区域旅游发展的对策建议。
更新日期:2021-05-08
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