资源科学 ›› 2020, Vol. 42 ›› Issue (6): 1188-1198.doi: 10.18402/resci.2020.06.15

• 旅游资源 • 上一篇    下一篇

中国工业旅游示范点空间分布特征及影响因素

唐健雄(), 马梦瑶()   

  1. 湖南师范大学旅游学院,长沙 410081
  • 收稿日期:2019-06-20 修回日期:2019-11-20 出版日期:2020-06-25 发布日期:2020-08-25
  • 通讯作者: 马梦瑶
  • 作者简介:唐健雄,男,湖南长沙人,教授,博士生导师,研究方向为旅游地理等。E-mail: 293430686@qq.com
  • 基金资助:
    国家自然科学基金项目(41971188);文化艺术和旅游研究项目(19DY05);湖南省社会科学基金项目(18YBA326)

Spatial pattern and influencing factors of industrial tourism demonstration sites in China

TANG Jianxiong(), MA Mengyao()   

  1. Tourism College, Hunan Normal University, Changsha 410081, China
  • Received:2019-06-20 Revised:2019-11-20 Online:2020-06-25 Published:2020-08-25
  • Contact: MA Mengyao

摘要:

工业与旅游业的融合发展是新的趋势,研究工业旅游示范点的空间分布格局及成因,对推动工业旅游迈进高质量发展的新时代具有重要的现实意义。以中国31省市(不包括港澳台)为研究对象,采用最邻近指数、核密度分析、空间自相关等空间分析方法,探讨了中国工业旅游示范点的空间分布特征及其影响因素,研究结果表明:①工业旅游示范点总体呈“东密西疏”的空间结构特征,与“胡焕庸线”高度吻合;②工业旅游示范点与城市群分布契合度较高,呈现出以“城市群”为依托的“多核心—群聚型”空间格局,具有显著的空间集聚效应;③工业旅游示范点集聚程度较高的区域,其邻近区域的集聚程度亦较高,呈现出一定的空间正相关性,相关程度依次为东部>中部>西部;热点和冷点区由东部至西部呈“圈层”式分布,存在典型的“马太效应”;④工业发展水平、交通条件、资源禀赋与工业旅游示范点空间分布存在显著的相关关系。此外,政策因素、地方工业文化认同等也是导致工业旅游示范点存在空间差异的重要因素。各省应借助跨省域城市群、都市圈、城市带的辐射能力,推进工业旅游跨区域、跨产业联动发展,形成工业旅游产业集群,促进工业旅游绿色发展。

关键词: 工业旅游示范点, 空间分布, 胡焕庸线, 空间分析方法, 影响因素, 中国

Abstract:

The integrative development of industry and tourism is a new trend. Studying the spatial distribution pattern of industrial tourism demonstration sites and causes has important practical significance for promoting industrial tourism to achieve high quality development. Taking 31 provinces and municipalities in China’s mainland as the research object, this study explored the spatial pattern of industrial tourism demonstration sites and influencing factors applying the nearest neighbor analysis, Kernel density estimation, spatial autocorrelation analysis, and hotspot analysis. The results show that: (1) Industrial tourism demonstration site density is greater in the eastern part of China than the west, which is highly consistent with the “Hu Line.” (2) Industrial tourism demonstration sites and urban agglomerations have a high degree of convergence, the spatial distribution pattern of multi-core-grouping based on urban agglomeration is presented with significant spatial agglomeration effects. (3) The neighboring regions of areas with higher concentration of industrial tourism demonstration sites have higher concentration of such sites, showing a certain level of spatial autocorrelation. The correlation degree is east > central > west; the hotspots and cold spots presented a circular pattern from east to west, and there is a typical Matthew effect. (4) There is a significant correlation between industrial development level, transportation conditions, resource endowment, and the spatial distribution of industrial tourism demonstration sites in China. In addition, national policies and local industrial cultural identity are also important factors that led to the spatial differences in industrial tourism demonstration sites. Provinces should leverage on the radiation capabilities of inter-provincial city clusters, metropolitan areas, and urban belts to promote the cross-regional and cross-industry development of industrial tourism, form industrial tourism clusters, and promote the green development of industrial tourism.

Key words: industrial tourism demonstration sites, spatial pattern, Hu Huanyong Line, spatial analysis method, influencing factors, China