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旅游导刊 ›› 2018, Vol. 2 ›› Issue (3): 81-100.DOI: 10.12054/lydk.bisu.75

• 主题论文 • 上一篇    

环渤海城市旅游业及其与基础设施相关性空间计量研究

窦思敏, 马仁锋   

  1. 宁波大学地理与空间信息技术系 浙江宁波 315211
  • 收稿日期:2018-04-08 修回日期:2018-05-14 出版日期:2018-05-30 发布日期:2018-07-03
  • 作者简介: 窦思敏(1994— ),女,山东滨州人,宁波大学地理与空间信息技术系硕士研究生,研究方向:城市与区域发展。马仁锋(1979— ),男,湖北枣阳人,博士,宁波大学地理与空间信息技术系副教授,研究方向:经济地理、区域规划与城市研究。通讯作者。E-mail:marfxf@126.com
  • 基金资助:
    本文受国家自然科学基金面上项目(41771174)“沿海城市产业重构背景下人居环境演变机理研究”资助

Spatial Econometric Study on Tourism Industry and Its Correlation with Infrastructure in Bohai Rim Region

Simin DOU, Renfeng MA

  1. Department of Geography & Spatial Information Techniques,Ningbo University, Ningbo 315211, China
  • Received:2018-04-08 Revised:2018-05-14 Online:2018-05-30 Published:2018-07-03

摘要:

滨海城市旅游业可否通过提升旅游基础设施水平提高其对沿海区域发展的贡献度,是区域旅游经济研究的热点与难点之一。本文运用熵值法、灰色关联度法研究环渤海地区城市旅游业、旅游基础设施城际差异及其关联度,并采用空间自相关分析法揭示关联性的空间群集特征。研究表明:(1)环渤海地区城市旅游业竞争力格局分别以天津、大连、青岛作为津冀、辽、鲁的区域增长极,带动其外围低水平城市旅游业发展,且呈强化趋势;(2)旅游基础设施水平以天津居首,大部分城市在第二、三梯队波动,但在核心增长区影响下正趋于空间均衡;(3)各城市旅游业与旅游基础设施的关联度呈现显著空间负相关,即各城市二者关联度未能突破行政边界形成空间溢出效应。

关键词: 旅游业; 旅游基础设施; 空间均衡增长; 空间自相关分析

Abstract:

It has been one of the hotspots and difficulties in the study of regional tourism economy whether coastal tourism can promote its contribution to the development of coastal areas through the promotion of urban tourism infrastructure. Through using a variety of methods, we comprehensively assess the dependence of tourism on urban infrastructure and its spatial characteristics. The methods of entropy and grey correlation degree will be used to study the inter-city differences and correlations between tourism and tourism infrastructure in the Bohai Rim region, and spatial autocorrelation analysis will be used to demonstrate the spatial clustering characteristics of the association. The research demonstrates that: (1) The competitive landscape of tourism in Bohai Rim is that Tianjin, Dalian, and Qingdao have been proven as the regional growth poles of Tianjin, Liaoning, and Shandong respectively, which leads to the development of the tourism industry in low-level cities and shows an intensified trend; (2) The ranking of tourism infrastructure is first for Tianjin, most cities stand in the second and third tiers, but they tend to be spatially balanced under the influence of the core growth area; (3) Most of the inter-city spatial autocorrelation is not significant. There is significant spatial negative correlation between tourism and tourism infrastructure in each city, which means the degree of correlation between the two cities failed to break through the administrative boundary to form a spatial spillover effect.

Keywords: tourism; tourism infrastructure; spatially balanced growth; spatial autocorrelation analysis

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