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珠江-西江经济带旅游经济网络结构及影响因素研究 被引量:4

Study on Tourism Economic Network Structure and Influencing Factors of the Pearl River-West River Economic Belt
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摘要 文章运用引力模型和社会网络分析法对2007-2017年珠江-西江经济带旅游经济网络结构及其影响因素展开了分析。研究发现:(1)珠江-西江经济带旅游经济联系度明显提高,但是各城市旅游经济联系量相差悬殊;(2)旅游经济网络由疏到密,网络空间结构由东部密集、西部稀疏的不均衡分布格局走向相对均衡的分布格局;(3)网络密度显著上升,核心节点的中间中心度下降,表明旅游经济联系更加通畅,整体朝着均衡方向发展;(4)网络中存在明显的核心-边缘结构,以广州和南宁为核心向周围辐射;(5)地理空间距离、旅游流、旅游资源禀赋、旅游服务设施、区域经济基础、产业结构等因素对旅游经济网络具有显著影响。最后针对研究结果提出相应的对策建议。 With the convenience of transportation and the development of global tourism, cities are increasingly connected in the tourist source market, infrastructure construction and resource development, forming a complex and stable tourism economic network. Understanding and studying the structural characteristics of regional tourism economic networks and its influencing factors are conducive to optimizing the spatial structure of tourism and promoting regional coordinated development. This study takes the Pearl River-West River Economic Belt as an example,firstly, the revised gravitational model is used to measure the tourism economic linkage data of 2007, 2012 and 2017,building a tourism economic connection matrix. Then the paper further uses social network theory and methods to explore the spatial structure of tourism economic network in the Pearl River-West River Economic Belt. Finally,it reveals the influencing factors and drive mechanism of the formation of its spatial network structure, so as to provide theoretical basis for the coordinated development of tourism in the Pearl River-West River Economic Belt. The results show that: 1)From the perspective of tourism economic linkage analysis, during the study period, the tourism economic linkage and contact volume of the Pearl River-West River Economic Belt has been significantly improved. The tourism economic relationship has become increasingly close, however, the tourism economic linkages of different cities are very different. As time goes on, the gap in tourism economic relations between cities is gradually narrowing. 2)It can be seen from the visual network structure diagram that with the enhancement of tourism economic linkages between cities in the Pearl River-West River economic belt, the tourism economic network is loose to compact, from simple one to complex one, and the network space structure has also evolved from a densely distributed,sparsely distributed pattern in the east to a relatively balanced distribution pattern. In 2017, the tourism economic network structure showed a pattern of multi-center development, and the tourism economic network structure became more and more reasonable. 3)From the perspective of network density and centrality analysis, the network density, point centrality, and closeness centrality of the node cities in the tourism economic network increase, while the centrality shows a downward trend, which indicates that the tourism economic linkage network of the Pearl River-West River Economic Belt is more unobstructed, the overall development towards a balanced direction. 4)From the core-edge model, there is an obvious core-edge structure in the tourism economic network.Guangzhou and Nanning have absolute advantages as capital cities, so they are the core area of the whole region and have certain radiation ability and driving effects in the tourism economic network.Among them, the tourism economic network shows a trend of increasing core cities and gradually decreasing marginal areas. 5)According to the results of QAP analysis, the six factors of geospatial distance,tourist flow,tourism resource endowment,tourism service facilities, regional economic foundation and industrial structure are closely related to the tourism economic contact network of Pearl River-West River Economic Belt.Finally, the paper puts forward corresponding countermeasures and suggestions based on the research conclusions.
作者 吕娟 张燕 LYU Juan;ZHANG Yan(School of History,Culture and Tourism,Guangxi Normal University,Guilin 541000,China)
出处 《旅游论坛》 2020年第1期57-68,共12页 Tourism Forum
关键词 旅游经济网络 影响因素 社会网络分析 QAP分析 珠江-西江经济带 tourism economic network influencing factors social network analysis QAP analysis the Pearl River-West River Economic Belt
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