地理科学进展 ›› 2020, Vol. 39 ›› Issue (3): 474-487.doi: 10.18306/dlkxjz.2020.03.012

• 研究论文 • 上一篇    下一篇

基于FCS框架的城市文化产业景观生态特征及网络关联

袁文华1,2, 李建春1,2,*(), 秦晓楠1,2, 起晓星3   

  1. 1.山东师范大学商学院,济南 250358
    2.山东师范大学地理与环境学院,济南 250358
    3.中山大学公共管理研究中心/政治与公共事务管理学院,广州 510275
  • 收稿日期:2019-03-19 修回日期:2019-06-09 出版日期:2020-03-28 发布日期:2020-05-28
  • 通讯作者: 李建春 E-mail:lijianchun@sdnu.edu.cn
  • 作者简介:袁文华(1986— ),女,四川眉山人,博士后,硕士生导师,研究方向为产业与区域经济。E-mail: yuanwenhua220@163.com
  • 基金资助:
    国家自然科学基金(41901169);国家社会科学基金(16BGL137);山东省自然科学基金(ZR2019BG001);山东省社科项目(17CLYJ29);山东省社科项目(14CGLJ32);中国博士后科学基金(2017M622247);中国博士后科学基金(2017M622268);中国博士后科学基金(2018M630793);教育部人文社会科学重点研究基地重大项目(16JJD630013)

Landscape ecological characteristics and network connection of urban cultural industries based on the firm-cluster-system framework

YUAN Wenhua1,2, LI Jianchun1,2,*(), QIN Xiaonan1,2, QI Xiaoxing3   

  1. 1.Business School, Shandong Normal University, Jinan 250358, China
    2.College of Geography and Environment, Shandong Normal University, Jinan 250358, China
    3.Center for Chinese Public Administration Research, School of Government, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2019-03-19 Revised:2019-06-09 Online:2020-03-28 Published:2020-05-28
  • Contact: LI Jianchun E-mail:lijianchun@sdnu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(41901169);National Social Science Foundation of China(16BGL137);Natural Science Foundation of Shandong Province(ZR2019BG001);Social Science Project of Shandong Province(17CLYJ29);Social Science Project of Shandong Province(14CGLJ32);China Postdoctoral Science Foundation(2017M622247);China Postdoctoral Science Foundation(2017M622268);China Postdoctoral Science Foundation(2018M630793);Major Programs of Humanities and Social Sciences of the Ministry of Education(16JJD630013)

摘要:

传统的产业研究多基于数量结构的分析范式,忽视产业集聚形态层面呈现的规律性。论文尝试基于高德地图POI数据,从微观到宏观尺度分析地理嵌套层级关系,构建企业(firm, F)-集群(cluster, C)-系统(system, S)多尺度结合的FCS产业生态分析框架,基于产业分类标准将城市文化产业POI点分为文化艺术、新闻出版、广播影视、体育健身和娱乐休闲5大类,选取济南市城区为案例区,利用500 m蜂巢格网,综合POI点核密度分析、景观产业生态学模型及社会网络分析方法,揭示文化产业点集聚、产业集群景观与产业系统网络关联的特点。研究结论如下:① 通过建立基于POI点数据的文化产业分类体系,利用区位商模型建立从产业点到产业景观的研究手段,拓展文化产业空间研究的新视角;② 济南市文化产业具有连片集中与分散聚集的特点,景观镶嵌体空间形态特征存在区域异质性,不同产业类型彼此交织构成生态网络,系统层面存在耦合关联,其中娱乐休闲业表现出群体数量优势,而广播影视业却扮演着关键物种的角色。相应的发现可为不同层面的产业调控与政策优化提供依据,深化了产业区位分析的理论与方法,拓展了地理微观大数据的应用实践。

关键词: 兴趣点, 产业生态学, 产业景观空间形态, 有向社会网络, FCS框架

Abstract:

Traditional industrial research is mostly based on the analytical paradigm of quantitative structure, ignoring patterns of industrial agglomerations. Based on the points-of-interest (POI) data of Gaode Map, this study constructed a firm-cluster-system (FCS) industrial analysis framework combining firm-cluster-system scales. From the perspective of industry classification criteria, it analyzed the geographic nesting hierarchy from micro to macro scales and divided the urban cultural industry POI into five categories: culture and arts industry, press and publishing industry, radio and television industry, sports and fitness industry, entertainment and leisure industry. Using the urban area of Jinan City as the case area, this study integrated nuclear density analysis, industrial landscape ecology model, geographic proximity index, and social network analysis methods to reveal the characteristics of cultural industry POI clustering, industrial cluster landscape, and industrial system network by using the 500 m honeycomb grid. The conclusions of this study are as follows: 1) By establishing a classification system of cultural industries based on POI data and innovatively using the location quotient model to develop research means from industrial POI to industrial landscape, the perspective of cultural industry spatial research has been expanded. 2) Jinan's cultural industry has the characteristics of continuous concentration and scattered aggregation, and there are regional heterogeneity in landscape morphological characteristics. Different industrial types are intertwined to form an ecological network, and there is a coupling relationship at the system level. The entertainment and leisure industry in Jinan has the advantage of group quantity, but the radio and television industry play the role of key species. The findings of this paper provide a basis for industrial regulation and policy optimization at different levels. This research deepens the theory and methods of industrial location analysis and expands the application of geographic big data.

Key words: points-of-interest, industrial ecology, spatial form of industrial landscape, directed social network, firm-cluster-system framework