IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i4p530-d787540.html
   My bibliography  Save this article

Is China’s Urbanization Quality and Ecosystem Health Developing Harmoniously? An Empirical Analysis from Jiangsu, China

Author

Listed:
  • Xue Xie

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Bin Fang

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Shasha He

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

Abstract

The relationship between urbanization and ecology environment is a current research hotspot. Most literature to date focuses on the interaction between urbanization and a single component of the ecosystem (e.g., water, forests, and ecosystem services), while little attention has been given to the relationship between urbanization quality and ecosystem health. Accordingly, this paper used the entropy method and vigor—organization–resilience model to measure the urbanization quality and ecosystem health in Jiangsu Province. Based on the results, this paper analyzed the spatial-temporal pattern and evolution characteristics of the coordination degree between urbanization quality and ecosystem health in Jiangsu Province in 2000, 2005, 2010, 2015, and 2017 and then used the geographic detector and Tobit regression model to explore its internal driving forces and external influencing factors. The results show the following: 1. The changing trend of urbanization quality and ecosystem health in the Jiangsu Province share some traits; it first descends and then ascends; 2. The cities in Jiangsu Province are all between primary coordination and high-quality coordination. Central Jiangsu has the best coupling coordination degree, and Northern Jiangsu has the worst coupling coordination degree, but the overall coordination degree is on the rise; 3. The internal and external factors that drive the coordinated development of urbanization and ecosystem health differ based on periodic and regional characteristics. We need to tailor policies to ensure the sustainable development of the region.

Suggested Citation

  • Xue Xie & Bin Fang & Shasha He, 2022. "Is China’s Urbanization Quality and Ecosystem Health Developing Harmoniously? An Empirical Analysis from Jiangsu, China," Land, MDPI, vol. 11(4), pages 1-19, April.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:4:p:530-:d:787540
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/4/530/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/4/530/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xue Xie & Bin Fang & Xin Li & Shasha He, 2021. "Urban ecosystem health assessment and obstacle factor diagnosis using a comprehensive assessment model for Nanjing, China," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1938-1954, September.
    2. Yu, Binbin, 2021. "Ecological effects of new-type urbanization in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Xu, Hengzhou & Jiao, Man, 2021. "City size, industrial structure and urbanization quality—A case study of the Yangtze River Delta urban agglomeration in China," Land Use Policy, Elsevier, vol. 111(C).
    4. Wang, Yanan & Li, Xinbei & Kang, Yanqing & Chen, Wei & Zhao, Minjuan & Li, Wei, 2019. "Analyzing the impact of urbanization quality on CO2 emissions: What can geographically weighted regression tell us?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 127-136.
    5. Shijian Wu & Kaili Zhang, 2021. "Influence of Urbanization and Foreign Direct Investment on Carbon Emission Efficiency: Evidence from Urban Clusters in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 13(5), pages 1-22, March.
    6. Wade, Faye & Bush, Ruth & Webb, Janette, 2020. "Emerging linked ecologies for a national scale retrofitting programme: The role of local authorities and delivery partners," Energy Policy, Elsevier, vol. 137(C).
    7. Zhao, Jingjing & Wang, Mengyang, 2018. "A novel assessment of urbanization quality and its applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 141-154.
    8. Xie, Xue & Fang, Bin & Xu, Hanzeyu & He, Shasha & Li, Xin, 2021. "Study on the coordinated relationship between Urban Land use efficiency and ecosystem health in China," Land Use Policy, Elsevier, vol. 102(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dan Xu & Zhuang Cai & Di Xu & Wenpeng Lin & Jun Gao & Lubing Li, 2022. "Land Use Change and Ecosystem Health Assessment on Shanghai–Hangzhou Bay, Eastern China," Land, MDPI, vol. 11(6), pages 1-17, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuqi Zhu & Siwei Shen & Linyu Du & Jun Fu & Jian Zou & Lina Peng & Rui Ding, 2023. "Spatial and Temporal Interaction Coupling of Digital Economy, New-Type Urbanization and Land Ecology and Spatial Effects Identification: A Study of the Yangtze River Delta," Land, MDPI, vol. 12(3), pages 1-27, March.
    2. Wusheng Zhao & Peiji Shi & Ya Wan & Yan Yao, 2023. "Coupling and Coordination Relationship between Urbanization Quality and Ecosystem Services in the Upper Yellow River: A Case Study of the Lanzhou–Xining Urban Agglomeration, China," Land, MDPI, vol. 12(5), pages 1-20, May.
    3. Qiangyi Li & Lan Yang & Fangxin Jiang & Yangqing Liu & Chenyang Guo & Shuya Han, 2022. "Distribution Characteristics, Regional Differences and Spatial Convergence of the Water-Energy-Land-Food Nexus: A Case Study of China," Land, MDPI, vol. 11(9), pages 1-28, September.
    4. Ming Hao & Gang Li & Changyou Chen & Liutao Liang, 2022. "A Coupling Relationship between New-Type Urbanization and Tourism Resource Conversion Efficiency: A Case Study of the Yellow River Basin in China," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    5. Wanxia Ren & Bing Xue & Xiao Xie & Bingyu Zhao & Jingzhong Li & Bin Han, 2023. "Urban Comprehensive Carrying Capacity and Urbanization in Northeast China," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    6. Feng, Yidai & Yuan, Huaxi & Liu, Yaobin & Zhang, Shaohui, 2023. "Does new-type urbanization policy promote green energy efficiency? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 124(C).
    7. Dan Xu & Zhuang Cai & Di Xu & Wenpeng Lin & Jun Gao & Lubing Li, 2022. "Land Use Change and Ecosystem Health Assessment on Shanghai–Hangzhou Bay, Eastern China," Land, MDPI, vol. 11(6), pages 1-17, June.
    8. Linxiong Chen & Changbiao Zhong & Chong Li, 2022. "Research on the Impact of the Digital Economy on China’s New-Type Urbanization: Based on Spatial and Mediation Models," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    9. Xiaoqing Lin & Chunyan Lu & Kaishan Song & Ying Su & Yifan Lei & Lianxiu Zhong & Yibin Gao, 2020. "Analysis of Coupling Coordination Variance between Urbanization Quality and Eco-Environment Pressure: A Case Study of the West Taiwan Strait Urban Agglomeration, China," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
    10. Tiantian Gu & Shuyu Liu & Xuefan Liu & Yujia Shan & Enyang Hao & Miaomiao Niu, 2023. "Evaluation of the Smart City and Analysis of Its Spatial–Temporal Characteristics in China: A Case Study of 26 Cities in the Yangtze River Delta Urban Agglomeration," Land, MDPI, vol. 12(10), pages 1-23, September.
    11. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    12. Lin, Boqiang & Zhou, Yicheng, 2021. "How does vertical fiscal imbalance affect the upgrading of industrial structure? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    13. Wang, Jianxiao & An, Qi & Zhao, Yue & Pan, Guangsheng & Song, Jie & Hu, Qinran & Tan, Chin-Woo, 2023. "Role of electrolytic hydrogen in smart city decarbonization in China," Applied Energy, Elsevier, vol. 336(C).
    14. Hongtao Jiang & Jian Yin & Yuanhong Qiu & Bin Zhang & Yi Ding & Ruici Xia, 2022. "Industrial Carbon Emission Efficiency of Cities in the Pearl River Basin: Spatiotemporal Dynamics and Driving Forces," Land, MDPI, vol. 11(8), pages 1-22, July.
    15. Lena Kilian & Anne Owen & Andy Newing & Diana Ivanova, 2022. "Exploring Transport Consumption-Based Emissions: Spatial Patterns, Social Factors, Well-Being, and Policy Implications," Sustainability, MDPI, vol. 14(19), pages 1-26, September.
    16. Wei Zhang & Jing Cheng & Xuemeng Liu & Zhangrong Zhu, 2023. "Heterogeneous industrial agglomeration, its coordinated development and total factor energy efficiency," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5511-5537, June.
    17. Sijia Li & Lihua Wu, 2024. "Can regional integration promote industrial green transformation? Empirical evidence from Yangtze River Delta Urban Agglomeration," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 14(1), pages 117-134, March.
    18. Lisha Pan & Hangang Hu & Xin Jing & Yang Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Xueqi Wang, 2022. "The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-16, June.
    19. Weiping Zhang & Peiji Shi & Huali Tong, 2022. "Research on Construction Land Use Benefit and the Coupling Coordination Relationship Based on a Three-Dimensional Frame Model—A Case Study in the Lanzhou-Xining Urban Agglomeration," Land, MDPI, vol. 11(4), pages 1-16, March.
    20. Pengyang Zhang & Lewen Zhang & Dandan Han & Tingting Wang & He Zhu & Yongtao Chen, 2023. "Coupled and Coordinated Development of the Tourism Industry and Urbanization in Marginal and Less Developed Regions—Taking the Mountainous Border Areas of Western Yunnan as a Case Study," Land, MDPI, vol. 12(3), pages 1-24, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:4:p:530-:d:787540. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.