中国传统村落与旅游发展要素时空匹配格局及互动作用

Spatial-temporal matching pattern and interaction between Chinese traditional villages and tourism development factors

以中国31个省(区、市)传统村落与旅游发展要素互动关系为研究对象,借助匹配度指数、面板向量自回归模型、面板分位数回归模型对2012—2018年传统村落与旅游发展要素匹配度时空演化、互动作用的演变过程和机制进行探讨。结果表明:(1)全国传统村落与旅游发展要素地区分布极不均衡,传统村落主要集中在我国中、西部地区,东部旅游发展要素总量占优;(2)2012—2018年传统村落与旅游发展要素具有一定匹配关系,且呈现扩大态势,中部相对匹配型居多,东、西部则分别以传统村落滞后型和超前型为主;(3)全国传统村落与旅游发展要素匹配度具有显著的空间正相关性,其中西部“高-高”片状集聚特征鲜明,而中、东部“高-低”匹配度布局分散,形成了大集聚、小分散,片状和点状并存的空间格局;(4)旅游发展要素对传统村落互动作用更为显著,两者的互动演变过程是产业发展、城乡融合、文化环境和政策支持共同作用的结果。

Traditional villages and tourism development factors in 31 provinces of China were studied.Through matching coefficient,panel vector autoregression model and panel quantile regression model,the spatial-temporal evolution and interaction mechanism of matching degree between traditional villages and tourism development factors from 2012 to 2018 were discussed.The results show that:(1)The traditional villages and tourism development factors in China are distributed imbalance.The traditional villages are concentrated in central and western China,however,the total number of tourism development factors is superior in the east.(2)From 2012 to 2018,the matching degree between traditional villages and tourism development factors is expanding.Specifically in the Central China,the relative matching type is in the majority.In the east and the west,traditional villages were mainly lagging and leading.(3)There is a significant positive spatial correlation between the matching coefficient of traditional villages and tourism development elements.In the west,the characteristics of“high-high”flake agglomeration are distinct,in the middle and east the“high-low”matching layout is scattered.A spatial pattern of“large agglomeration,small dispersion”and“sheet shape and dot shape”was formed.(4)The interaction of tourism development factors on traditional villages is more significant and the evolution process of the interaction is the result of industrial development,urban-rural integration,cultural environment and policy support.