中国生态旅游 ›› 2023, Vol. 13 ›› Issue (2): 279-292.doi: 10.12342/zgstly.20220079

• 工业遗产旅游 • 上一篇    下一篇

中国工业遗产空间分布及旅游可持续发展模式选择

马梦瑶(), 唐健雄*()   

  1. 湖南师范大学旅游学院,长沙 410081
  • 收稿日期:2022-05-26 修回日期:2022-10-09 出版日期:2023-04-28 发布日期:2023-05-25
  • 通讯作者: *唐健雄(1967−),男,教授,博士生导师,研究方向为旅游地理。E-mail: 293430686@qq.com
  • 作者简介:马梦瑶(1992−),女,博士研究生,研究方向为旅游地理。E-mail: 614149146@qq.com
  • 基金资助:
    国家社会科学基金项目(21BGL149);湖南省双一流学科建设项目(5010002)

Spatial distribution of China’s industrial heritage and selection of sustainable tourism development model

Ma Mengyao(), Tang Jianxiong*()   

  1. Tourism College of Hunan Normal University, Changsha 410081, China
  • Received:2022-05-26 Revised:2022-10-09 Online:2023-04-28 Published:2023-05-25
  • Contact: *Tang Jianxiong. E-mail: 293430686@qq.com

摘要:

工业遗产被称为“怀旧景观”,是工业旅游发展的核心资源和重要基础。如何选择合适的工业遗产旅游可持续发展模式,借助旅游让工业遗产“活”起来,成为工业遗产可持续发展迫切需要解决的问题。以国家工业与信息化部发布的5批工业遗产为研究对象,对中国工业遗产的空间分布、工业遗产旅游开发影响因素及可持续发展模式进行研究。研究发现:(1)工业遗产在空间上呈显著的集聚分布状态,集聚中心主要在京津冀城市群-长三角城市群-成渝城市群之间演化,集聚方向呈西南-东北走向。工业遗产空间冷热点分布以江苏、河南、陕西为中心的核心-边缘结构较为明显,冷点区主要分布在西部的西藏、新疆和东部的广东和海南。(2)地理探测器结果表明,工业遗产旅游开发的主要影响因素为旅游资源禀赋、旅游业发展水平、文化产业发展水平和工业旅游网络关注度。这4个主要影响因素的解释力排名为:文化产业发展水平>旅游资源禀赋>旅游业发展水平>工业旅游网络关注度。(3)基于工业遗产旅游开发影响因素的探测结果,提炼出生态化、城镇化、产业化、网络化等4种可持续发展模式。

关键词: 工业遗产, 工业旅游, 空间分布, 影响因素, 可持续发展模式, 中国

Abstract:

Industrial heritage, known as “nostalgic landscape”, is the core resource and important foundation for the development of industrial tourism. How to choose a suitable sustainable development model for industrial heritage tourism and make industrial heritage “live” through tourism has become an urgent issue in the sustainable development of industrial heritage. This paper takes five batches of industrial heritage released by the Ministry of Industry and Information Technology as the research objects, and studies the spatial distribution of industrial heritage in China, the influencing factors of industrial heritage tourism development and the sustainable development model of industrial heritage tourism. The study found that: (1) The industrial heritage exhibits a significant agglomeration in space, and the agglomeration centers mainly evolve between the urban agglomerations of Beijing-Tianjin-Hebei, Yangtze River Delta and Chengdu-Chongqing, agglomerating southwest towards northeast. The spatial distribution of cold and hot spots of the industrial heritage displays a clear core-edge structure centered on Jiangsu, Henan, and Shaanxi. The cold spots are mainly distributed in Tibet and Xinjiang in the west, and Guangdong and Hainan in the east. (2) The results of geographic detectors show that the main influencing factors of industrial heritage tourism development are tourism resource endowment, tourism development level, cultural industry development level and online attention of industrial tourism. The ranking of the explanatory power of the four main influencing factors is: cultural industry development level>tourism resource endowment>tourism development level>industrial tourism network attention. (3) Based on the detection results of the influencing factors of industrial heritage tourism development, we refined four sustainable development models: ecologicalization, urbanization, industrialization and networking.

Key words: industrial heritage, industrial tourism, spatial distribution, influencing factors, sustainable development model, China