摘要
在区域协调发展背景下探讨旅游化对城乡融合发展的影响机制,对于新时代中国实施城乡融合发展战略、促进生态文明建设和推动文旅深度融合具有重要意义。基于旅游化影响城乡融合发展的理论框架,运用双重机器学习方法、中介模型和调节模型探究武陵山区旅游化对城乡融合发展的影响机制。结果表明:(1)武陵山区旅游化与城乡融合发展水平整体呈现上升趋势,旅游化空间差异逐渐增大,城乡融合发展空间分布格局较为稳定。(2)旅游化对城乡融合发展具有正向促进作用,主要体现在对城乡“业”要素融合的正向影响,但囿于城乡土地二元体制下的权属差异问题,对城乡“地”要素融合则存在负向影响,而对城乡“人”要素融合不存在显著影响。(3)数字基础设施建设与产业结构升级是旅游化影响城乡融合发展的重要路径,市场化可以正向调节旅游化与城乡融合发展的关系,但政府干预则呈现负向调节效应。(4)旅游化对城乡融合发展的影响具有显著的空间异质性,已开通高铁的县(市、区)、原国家级扶贫重点县和国家全域旅游示范区均表现为较强的正向影响;重庆、湖北、贵州分片区的正向影响效应依次减弱,而湖南分片区则不显著。研究结果可为在区域互补中以旅游化推动城乡互促互进及城乡旅游规划管理和决策提供科学依据。
Based on the panel data of 48 districts and counties in the Wuling Mountainou area,the dual machine learning method mediation model and moderation model were employed to investigate the impact mechanism of tourismfication on urban-rural integration development.The results showed that:(1)Both the levels of the tourismfication and urban-rural integration development in the Wuling Mountain area showed an upward trend.The spatial differences in tourismfication gradually increased,while the spatial distribution pattern of the level of urban-rural integration development was relatively stable.(2)Tourismfication had a positive promoting effect on urban-rural integration development,mainly reflected in the positive impact on the urban-rural"industry"elements integration.However,due to the differences in ownership under the dual urban-rural land system,there was a negative impact on the urban-rural"land"elements integration,and there was no significant impact on the urban-rural"people"elements integration.(3)The construction of digital infrastructure and the upgrading of industrial structure were important paths through which tourismfication affects the urban-rural integration development.Marketization could positively regulate the relationship between tourismfication and the urban-rural integration development,while government intervention presented a negative regulatory effect.(4)The impact of tourismfication on the urban-rural integration development showed significant spatial heterogeneity.On the one hand,districts,cities and counties where high-speed railways had been opened,former national key poverty alleviation counties and national all-for-one tourism demonstration areas all exhibited relatively strong positive impacts.On the other hand,the positive impact effected in the sub-areas of Chongqing,Hubei and Guizhou weakened successively,and the sub-area of Hunan showed an insignificant positive effect.
作者
谭佳欣
王凯
TAN Jia-xin;WANG Kai(College of Tourism,Hunan Normal University,Changsha 410081,China)
出处
《自然资源学报》
北大核心
2025年第4期1048-1067,共20页
Journal of Natural Resources
基金
国家社会科学基金项目(24CJL032)。
关键词
旅游化
城乡融合发展
影响机制
双重机器学习
武陵山区
tourismfication
urban-rural integration development
impact mechanism
double machine learning
Wuling Mountain area
