Analysis on coupling relationship of urban scale and intensive use of land in China

被引:82
|
作者
Hui, Eddie C. M. [1 ]
Wu, Yuzhe [2 ]
Deng, Lijun [2 ]
Zheng, Bibo [2 ]
机构
[1] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Hong Kong, Peoples R China
[2] Zhejiang Univ, Dept Land Management, Hangzhou 310003, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
City scale; Land intensive use; Coupling relationship; Structural equation model (SEM); New urbanization policy; IMPACT; POLICY;
D O I
10.1016/j.cities.2014.09.002
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
The relationship between metropolitan scale expansion and land use intensity has been a hot research topic in Mainland China in the recent years. Even though many scholars have already discussed this topic from a theoretical standpoint, unfortunately, empirical research in this regard has been woefully lacking. In light of this, this study proffers an empirical investigation of 120 major Chinese cities in 2009, by first establishing an urban land use intensity index by means of a principal component analysis, followed by the application of the structural equation model (SEM) to verify said relationship. The findings show that urban land use intensity has both positive and negative effects on urban scale. In particular, while the agglomerate effect of land and capital is positive, the substitution effect between them is negative. The findings of this study particularly address the coupling relationship of urban scale and land use intensity in Mainland China. The results imply that when the levels of non-land factors rise, urban land use intensity will improve. In other words, following the implementation of the new urbanization policy in China, and the ever-growing significance of the dynamic agglomeration effect, there is a positive coupling relationship between urban scale and land use intensity. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:63 / 69
页数:7
相关论文
共 50 条
  • [21] Relationship between spatial pattern and function of urban land use in Changchun, China
    Shen, Qingxi
    Tan, Xue
    Li, Xipeng
    [J]. PLOS ONE, 2023, 18 (09):
  • [22] The urban land use system in China
    陈政辉
    [J]. Journal of Chongqing University(English Edition), 2003, (02) : 81 - 85
  • [23] Multiscale and multifunctional analysis of the coupling relationship between land use and desertification
    Li, Dajing
    Xu, Erqi
    Zhang, Hongqi
    [J]. LAND DEGRADATION & DEVELOPMENT, 2024, 35 (01) : 183 - 195
  • [24] Analysis of scale dependencies in an urban land-use-change model
    Jantz, CA
    Goetz, SJ
    [J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2005, 19 (02) : 217 - 241
  • [25] An Study on Influence Factors of Intensive Urban Land Use
    Li, L. T.
    Li, F. K.
    Ren, X. H.
    Tang, H. Q.
    [J]. CRIOCM2009: INTERNATIONAL SYMPOSIUM ON ADVANCEMENT OF CONSTRUCTION MANAGEMENT AND REAL ESTATE, VOLS 1-6, 2009, : 392 - 396
  • [26] Study on the Evaluation of Urban Industrial Land Intensive Use
    Lu, Zhenhua
    Zhang, Junlian
    Li, Xianwen
    Wang, Xiulian
    Bai, Xiaofei
    Zhang, Jia
    [J]. VIBRATION, STRUCTURAL ENGINEERING AND MEASUREMENT II, PTS 1-3, 2012, 226-228 : 2442 - +
  • [27] Policy of the Intensive Urban Land-use in Harbin
    Xie Hai
    Tian Jinxin
    Zhang Lili
    [J]. PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON CONSTRUCTION & REAL ESTATE MANAGEMENT, VOLS 1 AND 2, 2008, : 1615 - 1619
  • [28] On urban underground space development among land intensive use: from China's perspective
    Wu, Y. Z.
    Chen, J.
    Zhang, X. L.
    [J]. CRIOCM2009: INTERNATIONAL SYMPOSIUM ON ADVANCEMENT OF CONSTRUCTION MANAGEMENT AND REAL ESTATE, VOLS 1-6, 2009, : 276 - 284
  • [29] Research on the Coupling and Coordination of Intensive Land Use and New Urbanization in Chengdu-Chongqing Urban Agglomeration
    Wu, Zhenhua
    Huang, Yingying
    Wang, Yabei
    [J]. CARBON PEAK AND NEUTRALITY STRATEGIES OF THE CONSTRUCTION INDUSTRY (ICCREM 2022), 2022, : 488 - 495
  • [30] Dynamic Estimation of Urban Land Use Efficiency and Sustainability Analysis in China
    Cheng, Huifang
    Yu, Ting
    Zhang, Hao
    Duan, Kaifeng
    Zhu, Jianing
    [J]. SUSTAINABILITY, 2022, 14 (21)