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贵州旅游产业聚集度时空演化与影响因素分析

Spatial-temporal Evolution and Influencing Factors of Tourism Industry Agglomeration in Guizhou
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摘要 旅游产业聚集程度是衡量一个国家(地区)旅游业高质量发展的重要标志之一。运用区位熵指数法、地理探测器和GIS空间分析法等对2009—2019年贵州省旅游产业聚集的时空演化特征和影响因素进行研究。结果表明,贵州旅游产业聚集度处于全国较高水平,整体呈快速上升趋势;贵州呈现出中、北、南部旅游产业聚集程度较高,东、西部较低的空间分异现象,但异质性正逐渐减弱,聚集状态趋于均衡;旅游产业的空间分布差异是诸多影响因素共同作用的结果,不取决于单一影响因素;在研究时段内,贵州旅游产业呈现出以经济、市场条件为主导的聚集特性。贵州可以通过深化产业结构调整、丰富产业业态、提高产业市场化水平、加强政策引导促进旅游产业聚集,实现高质量发展。 The degree of tourism industry agglomeration is one of the important symbols to measure the high-quality development of tourism in a country(region).The spatial-temporal evolution characteristics and influencing factors of tourism industry agglomeration in Guizhou Province from 2009 to 2019 are studied by using location entropy index method,geographic detector and GIS spatial analysis method.The results show that the tourism industry agglomeration degree in Guizhou is at a high level in China,and the overall trend is rising rapidly;Guizhou shows a high degree of tourism industry agglomeration in the middle,North and South,and a low spatial differentiation in the East and West,but the heterogeneity is gradually weakening and the aggregation state tends to be balanced;the spatial distribution difference of tourism industry is the result of many influencing factors,which does not depend on a single influencing factor;in the research period,Guizhou tourism industry shows the aggregation characteristics dominated by economic and market conditions.Guizhou can promote the agglomeration of tourism industry and achieve high-quality development by deepening the adjustment of industrial structure,enriching industrial formats,improving the level of industrial marketization and strengthening policy guidance.
作者 姬杨 李锦宏 曾雪 Ji Yang;Li Jinhong;Zeng Xue(College of Tourism and Cultural Industry,Guizhou University,Guiyang Guizhou 550025,China)
出处 《国土与自然资源研究》 2023年第5期91-96,共6页 Territory & Natural Resources Study
基金 中共贵州省委全面深化改革重大调研项目(GZGGKT2021-068)。
关键词 旅游产业聚集 区位熵指数法 地理探测器 空间格局演化 驱动因素 tourism industry aggregation location entropy index method geographic detector spatial pattern evolution the driving factor
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