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作 者:吴开军 洪海玲 Wu Kaijun;Hong Hailing(School of Geography and Tourism,Guangdong University of Finance and Economics;Research Institute of Innovation Competitiveness of Guangdong-Hong Kong-Macao Greater Bay Area,Guangzhou 510320,China;Nansha Wetland Park,Guangzhou 510000,China)
机构地区:[1]广东财经大学地理与旅游学院 [2]粤港澳大湾区创新竞争力研究院,广州510320 [3]南沙湿地公园,广州510000
出 处:《统计与决策》2021年第14期89-92,共4页Statistics & Decision
基 金:国家社会科学基金资助项目(18BJY197)。
摘 要:文章基于粤港澳大湾区11个城市入境过夜旅游人数(外国人)和入境旅游收入(美元)的相关数据,分析了2005—2017年入境旅游经济发展水平的差异变动情况,通过对各城市入境旅游经济区位熵的分析,以繁荣区、发展区和落后区的空间分布来研究入境旅游经济的空间演变,并运用相关性分析对其成因进行了探讨。结果表明,粤港澳大湾区城市群入境旅游经济空间格局经历了"分散-集聚"的过程后,将由集聚格局向扩散格局演变;对入境旅游经济发展水平的空间格局差异影响最大的是机场旅客吞吐量,其次是GDP,再次是客运量,而各区域所拥有的自然和文化资源对该区域的入境旅游发展影响力有限。Based on the data of the number of inbound overnight tourists(foreigners) and inbound tourism income(US dollars)in 11 cities of the Guangdong-Hong Kong-Macao Greater Bay Area(GBA), this paper analyzes the variation of the economic development level of inbound tourism from 2005 to 2017. Through the analysis of the location entropy of inbound tourism economy, the paper employs the spatial distribution of prosperous area, developing area and backward area to study the spatial evolution of inbound tourism economy, and also discusses the causes of the spatial evolution by adopting relevant analysis. The results are shown as follows:The spatial pattern of inbound tourism economy of urban agglomerations in the GBA will evolve from agglomeration pattern to diffusion pattern after experiencing a process of"decentralization-agglomeration". The airport passenger throughput has the greatest impact on the spatial pattern difference of the development level of inbound tourism economy, followed by GDP and passenger volume. However, natural and cultural resources owned by each region have limited influence on the development of inbound tourism in the region.
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