Guangzhou College of Commerce, Guangzhou, Guangdong 511363, China.
Chinese Academy of Natural Resources Economics, Xicheng, Beijing 100035, China.
Comput Intell Neurosci. 2022 Jul 18;2022:2286803. doi: 10.1155/2022/2286803. eCollection 2022.
Exploratory spatial data analysis (ESDA) shows that there is a significant spatial autocorrelation of tourism development in China, which is manifested by the aggregation of spatial distribution. The results of the great likelihood estimation of the spatial lag model show that the parameters of both the total tourism income model and the domestic income model are significantly positive, indicating that the spatial linkage between agricultural and rural tourism income is very strong and the spillover effect of agricultural and rural tourism is larger than that of overall tourism. Tourism superstructure facilities, human resources, and tourism infrastructure are statistically significant and are important influencing factors for overall tourism and agricultural and rural tourism development. And the overall fit of agricultural and rural tourism model is poor. The findings of the study better grasp how to make rural tourism make a greater contribution to the regional economy of Chengdu and maximize its positive role, and put forward relevant countermeasure suggestions, which will provide theoretical guidance and decision-making reference for relevant departments on how to better play the economic effect of tourism, and will also have a realistic reference role on how to develop rural tourism in western cities of China.
探索性空间数据分析（ESDA）表明，中国旅游业发展存在显著的空间自相关性，表现为空间分布的集聚。空间滞后模型极大似然估计的结果表明，旅游总收入模型和国内收入模型的参数均显著为正，这表明农业和农村旅游收入之间的空间联系非常紧密，农业和农村旅游的溢出效应大于整体旅游。旅游上层建筑设施、人力资源和旅游基础设施在统计上是显著的，是整体旅游业和农业和农村旅游业发展的重要影响因素。并且农业和农村旅游模型的整体拟合度较差。研究结果更好地掌握了如何使农村旅游对成都的区域经济做出更大的贡献，并最大限度地发挥其积极作用，并提出了相关的对策建议，这将为相关部门如何更好地发挥旅游的经济效应提供理论指导和决策参考，也将对中国西部城市发展农村旅游具有现实的参考作用。
