中国工业旅游网络关注度分布格局及其影响因素

Distribution Pattern and Influencing Factors of Network Attention of China’s Industrial Tourism

基于2011—2022年中国内地31个省份135036条工业旅游网络关注度数据,运用莫兰指数和地理探测器等分析我国工业旅游网络关注度时空特征及其影响因素。结果表明:(1)2011—2022年全国工业旅游网络关注度呈波动上升趋势,季节性差异不明显,月度波动近似“M”型;(2)全国工业旅游网络关注度省际差异显著,东、中、西部呈梯度递减趋势,地区差异由大到小依次为华东、华北、华南、华中、西南、东北、西北;(3)各省份工业旅游网络关注度空间自相关显著,“高-高”“低-低”集聚在华东、西北地区,“高-低”“低-高”集聚以四川、江西为主;(4)各影响因素贡献度由大到小依次为居民生活水平、工业企业数量、内部交通可达性、网民规模、城市化水平、区域经济发展水平、网络发达程度、工业旅游资源、外部交通可达性、空气温度、学历水平、旅游资源丰度、空气质量。

Taking 135036 industrial tourism network attention in 31 provinces from 2011 to 2022 as the research object,the spatial and temporal characteristics and influencing factors of industrial tourism network attention in China are analyzed by using Moran’s I index and geographical detector.The results show that:(1)From 2011 to 2022,the national industrial tourism network attention showed a fluctuating upward trend,seasonal differences were less pronounced,monthly fluctuations showed the similar“M”type distribution pattern;(2)The national industrial tourism network attracts significant interprovincial differences,the east,central and west showed a gradient decreasing trend,the seven regions’differences in descending order are East China,North China,South China,Central China,Southwest,Northeast,Northwest;(3)The overall spatial autonomous correlation of the industrial tourism network attention in all provinces(city,district)is significant,“high-high”and“low-low”gather in east China and northwest China,“high-low”and“low-high”clusters are mainly concentrated in Sichuan and Jiangxi;(4)The influencing factors ranked from high to low based on the contribution degree are the residents’living standard,the number of industrial enterprises,the internal traffic accessibility,the netizen scale,the urbanization level,regional economic development status,network development level,industrial tourism resources,external traffic accessibility,air temperature,education level,tourism resource abundance,air quality.