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 ›› 2023, Vol. 32 ›› Issue (6): 98-107.DOI: 10.3969/j.issn.1004-9479.2023.06.2021431

• 城市与产业 • 上一篇    下一篇

京津冀地区城市精明发展的时空格局与障碍因子诊断

马慧强1a(), 刘嘉乐1a(), 席建超2, 王清1b   

  1. 1a.山西财经大学,文化旅游与新闻艺术学院,太原 030000
    1b.山西财经大学,国际贸易学院,太原 030000
    2.中国科学院地理科学与资源研究所,北京 100101
  • 收稿日期:2021-06-08 修回日期:2021-10-20 出版日期:2023-06-19 发布日期:2023-08-07
  • 通讯作者: 刘嘉乐
  • 作者简介:马慧强(1984—),男,副教授,博士,研究方向为经济地理、公共服务等,E-mail:mahuiqiang001@126.com
  • 基金资助:
    教育部人文社会科学青年基金项目(20YJCZH161)

Spatio-temporal pattern and obstacle factor diagnosis of smart development of Beijing-Tianjin-Hebei Urban Agglomeration

Huiqiang MA1a(), Jiale LIU1a(), Jianchao XI2, Qing WANG1b   

  1. 1a.School of Cultural Tourism and Journalism Arts, Shanxi University of Finance and Economics,Taiyuan 030000, China ;
    1b.School of International Trade, Shanxi University of Finance and Economics,Taiyuan 030000, China ;
    2.Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2021-06-08 Revised:2021-10-20 Online:2023-06-19 Published:2023-08-07
  • Contact: Jiale LIU

摘要:

以京津冀地区13个城市为研究对象,从精明空间建设、精明要素配置和精明福利绩效三个方面构建城市精明发展指标体系,测度并分析2008—2018年京津冀地区城市精明发展水平的时空表现,最后利用障碍度模型揭示阻碍京津冀各城市精明发展的因子。主要结论如下:(1)京津冀地区城市精明发展水平较低,研究时段呈微弱的波动下降趋势,存在提升空间;(2)从城市精明发展水平的空间差异看,以北京、天津为高水平的双核心趋势明显,呈现由中心向四周波动递减的态势;(3)从京津冀整体障碍度表现来看,精明福利绩效占比最大,精明空间建设次之,精明要素配置最低;(4)不同城市精明发展的障碍表现各异,其中北京、天津两城市的障碍因子主要集中在精明福利绩效,河北省作为承接北京非首都功能的主要核心区域,精明空间建设和精明要素配置是其省内多数城市的障碍表现。

关键词: 精明发展, 时空演变, 障碍度, 京津冀

Abstract:

Taking 13 cities in Beijing, Tianjin and Hebei as the research objects, this paper constructed the urban smart development index system from three aspects: smart space construction, smart element allocation and smart welfare performance, measured the urban smart development level in Beijing, Tianjin and Hebei from 2008 to 2018, and used ArcGIS software to realize the temporal and spatial measurement performance of smart development level. The obstacle degree model was used to reveal the criterion-level factors that hinder the smart development of Beijing, Tianjin and Hebei cities. The main conclusions are as follows: (1) The smart development level in Beijing, Tianjin and Hebei is low, the research period shows a weak fluctuation and downward trend, and there is room for improvement. (2) From the spatial difference of smart development level, the double core trend with Beijing and Tianjin as the high level is obvious, showing a downward trend from the center to the surrounding. (3) From the overall barrier performance of study area, smart welfare performance accounts for the largest proportion, smart space construction takes the second place, and smart factor allocation is the lowest. (4) The obstacles to smart development in different cities vary. The obstacles in Beijing and Tianjin are mainly focused on smart welfare performance. As the main core area to undertake Beijing's noncapital functions, smart space construction and smart element allocation are the obstacles in most cities.

Key words: smart development, spatiotemporal evolution, obstacle degree, Beijing-Tianjin-Hebei Region