主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2022, Vol. 31 ›› Issue (6): 1332-1344.DOI: 10.3969/j.issn.1004-9479.2022.06.2020646

• 产业与布局 • 上一篇    

基于文化演出消费视角的中国城市网络空间结构与影响因素研究

谢明慧1(), 黄耿志2, 张旭1()   

  1. 1.武汉理工大学资源与环境工程学院,武汉 430070
    2.中山大学地理科学与规划学院,广州 510006
  • 收稿日期:2020-09-14 修回日期:2020-11-07 出版日期:2022-11-15 发布日期:2022-11-22
  • 通讯作者: 张旭
  • 作者简介:谢明慧(1996-),女,硕士研究生,研究方向为人文地理与城乡规划,E-mail:xmhui_96@whut.edu.cn
  • 基金资助:
    国家自然科学基金项目(41601163)

Spatial structure and impacting factors of the urban networks in China based on the perspective of cultural performance consumption

Minghui XIE1(), Gengzhi HUANG2, Xu ZHANG1()   

  1. 1.School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China
    2.School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
  • Received:2020-09-14 Revised:2020-11-07 Online:2022-11-15 Published:2022-11-22
  • Contact: Xu ZHANG

摘要:

随着文化创意产业在世界范围内的崛起,城市文化职能和全球文化城市成为城市网络研究的新兴视角。借助“大麦网”数据,基于空间分析和岭回归方法,揭示基于文化演出消费活动的中国城市网络空间结构与影响因素,对现有城市网络研究形成补充。研究表明:①文化巡回演出的城市网络呈现出中国城市网络中常见的“菱形结构”,但是向二、三线城市渗透的趋势较为明显,体现了不同级别城市本地文化生产能力的差异以及文化演出边际收益递增的特点;②中西部省会城市在城市网络中的影响力表现出明显的上升,而东部沿海地区核心城市的影响力则出现一定程度的下降,反映出中国不同地区演出市场发育程度以及区域中心城市在对外文化联系中地位的差异;③不同类型文化演出在空间分布和网络结构上同样存在较为明显的差异,反映出其市场结构和盈利模式的差异以及城市地方文化消费特征的影响;④文化教育发展水平、地方政府投入、城市总体经济发展和消费水平以及对外开放程度是影响中国文化演出消费城市网络空间格局的重要因素,反映出文化演出消费的独特性。

关键词: 城市网络, 文化演出, 文化消费, 空间结构, 影响因素

Abstract:

With the worldwide rise of cultural and creative industries, the cultural functions of cities and global cultural cities have become a new perspective in the research on urban networks. Drawing on the commercial performances data collected from the "DAMAI.NET" platform, this paper first presented a comprehensive analysis of the geographical pattern of cultural performances consumption in Chinese cities, the spatial structure of the urban network generated by touring performances, and the divergences between the urban networks created by different types of cultural performances. It further used the method of Ridge Regression to identify the major socio-economic factors that shape the geographical patterns of the urban networks created by cultural performances consumption activities. The outcomes reveal that: (1) Cultural performances consumption in China demonstrates both dispersive and concentrative patterns. Whereas the distribution of performances exhibits a wide geographical coverage, most of them are highly concentrated in a few top-tier cities, especially those in the eastern coastal area. (2) The urban network of touring performance displays a typical "diamond structure". However, there is an evident trend of penetration of touring performances towards the second- and third-tier cities, which reflect the divergences between different cities in their capability of local cultural production and the increasing marginal revenue of cultural performances. (3) The influence of the central and western provincial capitals in the touring-performance urban network has seen a significant increase, whereas the positions of the core cities in eastern coastal areas have to some extent declined, indicating the discrepant developmental status of performance market in different regions and the varying functions played by these cities in connecting their respective regions with the national cultural consumption market. (4) Different types of cultural performances also display rather disparate patterns of spatial distribution and urban network structure, which reflect their different market structures and profit models, as well as the impact of local urban cultural consumption characteristics. (5) The level of cultural and educational development, the investment of local government, the overall level of economic development and consumption, and the degree of openness are important factors that shape the pattern of the network of touring performances in China, which highlights the specialties of cultural performance consumption.

Key words: urban network, cultural performance, cultural consumption, spatial structure, impacting factor