Examining the Coupling Coordinated Relationship between Urban Industrial Co-Agglomeration and Intensive Land Use

被引:17
作者
Gong, Qunxi [1 ,2 ]
Guo, Gengxuan [1 ]
Li, Sipan [1 ]
Liang, Xuedong [1 ,2 ]
机构
[1] Sichuan Univ, Business Sch, Chengdu 610065, Peoples R China
[2] Sichuan Univ, Econ & Enterprise Dev Inst, Chengdu 610065, Peoples R China
关键词
coupling coordination relationship; industrial co-agglomeration; intensive land use; MANUFACTURING-INDUSTRIES; AGGLOMERATION;
D O I
10.3390/land10050499
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Exploring the dynamic relationship and coupling coordination between urban industrial co-agglomeration and intensive land use is vital to ensure high-quality urban development. Based on an industrial co-agglomeration model, a revised intensive land use model, and a coupling coordination model, this paper comprehensively measured the urban industrial co-agglomeration and intensive land use coupling coordination in eight cities in the Chengdu metropolitan area from 2004 to 2018. It was found that despite the structural adjustment of the secondary and tertiary industries during the study period, the industrial co-agglomeration in the Chengdu metropolitan area fluctuated, the intensive urban land use had spatial characteristics that were decreasing from the center to the periphery, and while the general coupling coordination level was increasing, the increase rate in each city was different. The coupling coordination between the urban industry co-agglomeration and the intensive land use was found to have "low-high-low" spatial characteristics from the southwest to the northeast of the Chengdu metropolitan area, which revealed the core position of Chengdu. Suggestions are provided to improve the industrial co-agglomeration and intensive urban land use coupling coordination.
引用
收藏
页数:12
相关论文
共 46 条
  • [1] Agglomeration economies in manufacturing industries: the case of Spain
    Alonso-Villar, O
    Chamorro-Rivas, JM
    Gonzalez-Cerdeira, X
    [J]. APPLIED ECONOMICS, 2004, 36 (18) : 2103 - 2116
  • [2] Cao B., 2021, REFORM EC SYST, V1, P63
  • [3] Chen J., 2016, J. Zhejiang Univ, V46, P150
  • [4] Chen K., 2018, SHANGHAI J EC, V30, P30, DOI [10.1016/j.jeconom.2018.06.020, DOI 10.1016/J.JECONOM.2018.06.020]
  • [5] [陈莹 Chen Ying], 2015, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V24, P8
  • [6] Chen Z., 2018, REG EC REV, V3, P50
  • [7] Chu M., 2013, TAX EC, V4, P13
  • [8] Exploring the detailed location patterns of UK manufacturing industries using microgeographic data
    Duranton, Gilles
    Overman, Henry G.
    [J]. JOURNAL OF REGIONAL SCIENCE, 2008, 48 (01) : 213 - 243
  • [9] Geographic concentration in US manufacturing industries: A dartboard approach
    Ellison, G
    Glaeser, EL
    [J]. JOURNAL OF POLITICAL ECONOMY, 1997, 105 (05) : 889 - 927
  • [10] What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns
    Ellison, Glenn
    Glaeser, Edward L.
    Kerr, William R.
    [J]. AMERICAN ECONOMIC REVIEW, 2010, 100 (03) : 1195 - 1213