中国西南地区高级别景区的空间分布及乡村振兴响应研究

Spatial Distribution of High-level Scenic Areas in Southwest China and Response to Rural Revitalization

高级别景区是协调区域经济发展、实现乡村振兴的重要载体.以西南地区4A级及以上景区为研究对象,综合运用最邻近指数、核密度分析、空间自相关和回归分析等方法,探析西南地区高级别景区空间分布及乡村振兴响应研究.结果显示:1)西藏高级别景区空间分布类型为均匀型,其余各省是集聚型;2)空间密度特征主要呈现核状分布,以川中成都、渝中为第一级聚集核,贵州-贵阳、凉山和云南-昆明为第二级聚集核,其他地区则为第三级聚集核;3)西南地区高级别景区空间关联以正相关为主;4)西南地区高级别景区空间分布格局受自然因素和人文因素影响显著,其中地形地貌、河流水系、地区经济、交通水平和民族都在不同程度上对其高级别景区空间分布产生影响;5)西南地区高级别景区与乡村振兴发展存在着显著相关关系,且其相关乡村振兴指标与高级别景区的响应程度各不相同.

High-level scenic spots are important carriers for coordinating regional economic development and realizing rural revital-ization.Taking 4A-level and above scenic spots in Southwest China as the research object,we comprehensively use the nearest neigh-bor index,kernel density analysis,spatial autocorrelation and regression analysis to explore the spatial distribution of high-level scenic spots in Southwest China and the response study of rural revitalization.The results show that:1)the type of spatial distribution of high-level scenic spots in Tibet is homogeneous,and the rest of the provinces are agglomeration type;2)the spatial density characteristics mainly show kernel distribution,with Chengdu in central Sichuan and Yuzhong in Chongqing as the first level of aggregation kernel,Guizhou-Guiyang,Liangshan and Yunnan-Kunming as the second level of aggregation kernel,and the other areas as the third level of aggregation kernel;3)spatial correlation of high-level scenic spots in Southwest China is dominated by positive correlation;4)the spa-tial distribution pattern of high-level scenic spots in Southwest China is significantly affected by natural and human factors,among which topography and geomorphology,river and water system,regional economy,transportation level and ethnicity all have impacts on the spatial distribution of its high-level scenic spots in different degrees;5)there is a significant correlation between high-level scenic spots and rural revitalization development in Southwest China,and the degree of response of its related rural revitalization indicators to high-level scenic spots vary.