Contradiction or Coordination? Spatial Heterogeneity Between Urbanization and Green Development in the Yangtze River Delta Region, China

被引:0
作者
Jing, Ying [1 ]
Yang, Yuxuan [2 ]
Lang, Yue [3 ]
Miao, Qing [1 ,4 ]
机构
[1] NingboTech Univ, Sch Business, 1 Xuefu Rd, Ningbo 315000, Peoples R China
[2] Univ Rochester, Simon Business Sch, 500 Joseph C Wilson Blvd, Rochester, NY 14627 USA
[3] Case Western Reserve Univ, Weatherhead Sch Management, 11119 Bellflower Rd, Cleveland, OH 44106 USA
[4] Zhejiang Inst Talent Dev, Hangzhou 310058, Peoples R China
关键词
green development; urbanization; spatial heterogeneity; coupling coordination degree model; Yangtze River Delta Region; China;
D O I
10.3390/urbansci9040089
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the rapid acceleration of socio-economic development, the potential contradiction between urbanization and green development becomes a concerning issue. Ascertaining their relationship is conducive to new-type urbanization transformation and ecologically sustainable development. To reveal their complex and dynamic relationship, this study first calculates urbanization and green development by a linear weighting method and the coupling coordination degree (CCD) model. Then, the local spatial autocorrelation method is adopted to explore the CCD spatial effect on the Yangtze River Delta Region (e.g., Shanghai Municipality, and Jiangsu, Zhejiang, and Anhui provinces) in China. The results reveal three key findings as follows: (1) Overall, the 41 cities within the Yangtze River Delta Region (YRDR) exhibited a relatively high level of coordination, albeit with notable regional disparities. (2) Several cities experienced unbalanced development, with either green development lagging behind urbanization or vice versa. (3) Spatial clustering patterns indicate that neighboring cities influence one another, highlighting the importance of regional collaboration. These findings provide critical insights for policymakers to enhance sustainable urban planning and foster balanced development across the region.
引用
收藏
页数:18
相关论文
共 42 条
[1]   Coupling coordination analysis and spatio-temporal heterogeneity between urbanization and eco-environment along the Silk Road Economic Belt in China [J].
Ariken, Muhadaisi ;
Zhang, Fei ;
Chan, Ngai Weng ;
Kung, Hsiang-te .
ECOLOGICAL INDICATORS, 2021, 121
[2]   Coupling relationship between urbanization and water-related ecosystem services in China's Yangtze River economic Belt and its socio-ecological driving forces: A county-level perspective [J].
Bi, Yuzhe ;
Zheng, Liang ;
Wang, Ying ;
Li, Jiangfeng ;
Yang, Hui ;
Zhang, Bowen .
ECOLOGICAL INDICATORS, 2023, 146
[3]   Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model [J].
Cox, PM ;
Betts, RA ;
Jones, CD ;
Spall, SA ;
Totterdell, IJ .
NATURE, 2000, 408 (6809) :184-187
[4]  
Deng Z., 2019, J. Econ. Geogr, V33, P78
[5]   An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis [J].
Dinda, Santanu ;
Das Chatterjee, Nilanjana ;
Ghosh, Subrata .
ECOLOGICAL INDICATORS, 2021, 121
[6]   Yangtze River Delta in China space-time effect research on influencing factors for ecological civilization construction [J].
Dong, Chun ;
Hu, Xinyu ;
Zhang, Yu ;
Wang, Ruyu ;
Liang, Qi .
ECOLOGICAL INDICATORS, 2023, 153
[7]   The inducing factors of environmental emergencies: Do environmental decentralization and regional corruption matter? [J].
Hao, Yu ;
Xu, Lu ;
Guo, Yunxia ;
Wu, Haitao .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 302
[8]   Greenhouse Gas Reductions under Low Carbon Fuel Standards? [J].
Holland, Stephen P. ;
Hughes, Jonathan E. ;
Knittel, Christopher R. .
AMERICAN ECONOMIC JOURNAL-ECONOMIC POLICY, 2009, 1 (01) :106-146
[9]   Unravelling the impact pathways of green innovation and environmental regulation on China's green development efficiency goals: Direct and spillover effects [J].
Jiang, Hang ;
Sun, TaiPeng .
ECOLOGICAL INDICATORS, 2024, 168
[10]   Tempo-spatial variability of urban leisure functional zones: An analysis based on geo-big data [J].
Jing, Ying ;
Shu, Junjiao ;
Wang, Rushan ;
Zhang, Xiang .
GROWTH AND CHANGE, 2021, 52 (03) :1852-1865