IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i7p1258-d105074.html
   My bibliography  Save this article

Spatiotemporal Decoupling between Population and Construction Land in Urban and Rural Hubei Province

Author

Listed:
  • Chengcheng Wang

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Yanfang Liu

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
    Key Laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Wuhan 430079, China)

  • Xuesong Kong

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
    Key Laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Wuhan 430079, China)

  • Jiwei Li

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

Abstract

In urban and rural areas under rapid urbanization, a proper understanding of the relationship between population and construction land use is important for regional sustainable development. The decoupling method is a particularly useful way to examine this relationship. However, the decoupling method only considers the current relationship between population and construction land, ignoring the initial status in the base year. Based on an improved decoupling model, vector land-use data (1:10,000 scale) from two National Land Investigations, and demographic data from the China Statistics Bureau, this paper analyzes population and construction land use change patterns as well as the types of coupling in urban and rural Hubei. The results better reflect the relationship between population and construction land use. The outcomes show that from 2009 to 2014, both the urban population and urban construction land use increased while the rural population decreased as rural settlement land use expanded. In 61 counties, the relationship between the urban population and construction land use showed expansive negative decoupling; that is, the growth rate of urban population was less than the growth rate of the urban construction land use. In 72 counties, the relationship between the rural population and rural settlement land showed a strong negative decoupling; that is, the rural population decreased while the rural settlement land use increased. The relationship between the urban–rural population and construction land use can be divided into eight types. Only nine counties are somewhat coordinated, while the other counties were all uncoordinated. Suggestions are provided by comparing per capita urban construction land and per capita rural settlement land in the base and current years with the national standard and considering the coupling types for population and construction land use change in urban and rural settings. Finally, we discuss approaches to optimize urban–rural space organization and promote coordinated urban–rural development.

Suggested Citation

  • Chengcheng Wang & Yanfang Liu & Xuesong Kong & Jiwei Li, 2017. "Spatiotemporal Decoupling between Population and Construction Land in Urban and Rural Hubei Province," Sustainability, MDPI, vol. 9(7), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:7:p:1258-:d:105074
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/7/1258/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/7/1258/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deng, Xiangzheng & Huang, Jikun & Rozelle, Scott & Uchida, Emi, 2008. "Growth, population and industrialization, and urban land expansion of China," Journal of Urban Economics, Elsevier, vol. 63(1), pages 96-115, January.
    2. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
    3. Manjiang Shi & Yaowen Xie & Qi Cao, 2016. "Spatiotemporal Changes in Rural Settlement Land and Rural Population in the Middle Basin of the Heihe River, China," Sustainability, MDPI, vol. 8(7), pages 1-17, June.
    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. Xiao Zhu & Di Yao & Hanyue Shi & Kaichen Qu & Yuxiao Tang & Kaixu Zhao, 2022. "The Evolution Mode and Driving Mechanisms of the Relationship between Construction Land Use and Permanent Population in Urban and Rural Contexts: Evidence from China’s Land Survey," Land, MDPI, vol. 11(10), pages 1-44, October.
    2. Lucia Saganeiti & Antonella Favale & Angela Pilogallo & Francesco Scorza & Beniamino Murgante, 2018. "Assessing Urban Fragmentation at Regional Scale Using Sprinkling Indexes," Sustainability, MDPI, vol. 10(9), pages 1-23, September.
    3. Cui, Can & Shan, Yuli & Liu, Jianghua & Yu, Xiang & Wang, Hongtao & Wang, Zhen, 2019. "CO2 emissions and their spatial patterns of Xinjiang cities in China," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    4. Yuqi Chen & Zongyao Sun & Liangwa Cai, 2021. "Population Flow Mechanism Study of Beijing-Tianjin-Hebei Urban Agglomeration from Industrial Space Supply Perspective," Sustainability, MDPI, vol. 13(17), pages 1-15, September.
    5. Liu, Lun & Gao, Xuesong & Zhuang, Jiexin & Wu, Wen & Yang, Bo & Cheng, Wei & Xiao, Pengfei & Yao, Xingzhu & Deng, Ouping, 2020. "Evaluating the lifestyle impact of China’s rural housing land consolidation with locational big data: A study of Chengdu," Land Use Policy, Elsevier, vol. 96(C).
    6. Shi, Linna & Wang, Yongsheng, 2021. "Evolution characteristics and driving factors of negative decoupled rural residential land and resident population in the Yellow River Basin," Land Use Policy, Elsevier, vol. 109(C).
    7. Ting You & Shuiyu Yan, 2023. "Spatial Differentiation and Driving Force Detection of Rural Settlements in the Yangtze River Delta Region," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    8. Yajun Ma & Ping Zhang & Kaixu Zhao & Yong Zhou & Sidong Zhao, 2022. "A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China," Land, MDPI, vol. 11(6), pages 1-31, June.
    9. Xiaodong Xu & Jingping Liu & Ning Xu & Wei Wang & Hui Yang, 2018. "Quantitative Study on the Evolution Trend and Driving Factors of Typical Rural Spatial Morphology in Southern Jiangsu Province, China," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    10. Yingchao Lin & Yongle Li & Zhili Ma, 2018. "Exploring the Interactive Development between Population Urbanization and Land Urbanization: Evidence from Chongqing, China (1998–2016)," Sustainability, MDPI, vol. 10(6), pages 1-28, May.
    11. Biao Zhang & Dian Shao & Zhonghu Zhang, 2022. "Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China," Sustainability, MDPI, vol. 14(10), pages 1-36, May.
    12. Yaolin Liu & Enxiang Cai & Ying Jing & Jie Gong & Zhengyu Wang, 2018. "Analyzing the Decoupling between Rural-to-Urban Migrants and Urban Land Expansion in Hubei Province, China," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    13. Mu Li & Yunyang Shi & Wenkai Duan & Aiqi Chen & Nan Wang & Jinmin Hao, 2019. "Spatiotemporal Decoupling of Population, Economy and Construction Land Changes in Hebei Province," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    14. Jiwei Li & Qingqing Ye & Weiqiang Chen & Xuesong Kong & Qingsheng Bi & Jie Lu & Enxiang Cai & Hejie Wei & Xinwei Feng & Yulong Guo, 2022. "An Analysis Method of Quantitative Coupling Rationality between Urban–Rural Construction Land and Population: A Case Study of Henan Province in China," Land, MDPI, vol. 11(5), pages 1-18, May.
    15. Kaiming Li & Kaishun Li & Yong Liu & Liying Yue & Xiji Jiang, 2023. "Transition Characteristics and Driving Mechanisms of Rural Settlements in Suburban Villages of Megacities under Policy Intervention: A Case Study of Dayu Village in Shanghai, China," Land, MDPI, vol. 12(11), pages 1-26, October.
    16. Ping Zhang & Xiaojuan Yang & Hua Chen & Sidong Zhao, 2023. "Matching Relationship between Urban Service Industry Land Expansion and Economy Growth in China," Land, MDPI, vol. 12(6), pages 1-29, May.

    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. Yaolin Liu & Enxiang Cai & Ying Jing & Jie Gong & Zhengyu Wang, 2018. "Analyzing the Decoupling between Rural-to-Urban Migrants and Urban Land Expansion in Hubei Province, China," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    2. Nelson, Ewan & Warren, Peter, 2020. "UK transport decoupling: On track for clean growth in transport?," Transport Policy, Elsevier, vol. 90(C), pages 39-51.
    3. Kaiming Li & Min Wang & Wenbin Hou & Fuyuan Gao & Baicui Xu & Jianjun Zeng & Dongyu Jia & Jun Li, 2023. "Spatial Distribution and Driving Mechanisms of Rural Settlements in the Shiyang River Basin, Western China," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    4. Haiwen Zhou, 2013. "The Choice of Technology and Rural-Urban Migration in Economic Development," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 8(3), pages 337-361, September.
    5. Wang, Wenwen & Li, Man & Zhang, Ming, 2017. "Study on the changes of the decoupling indicator between energy-related CO2 emission and GDP in China," Energy, Elsevier, vol. 128(C), pages 11-18.
    6. Ortuño-Padilla, Armando & Fernández-Aracil, Patricia, 2013. "Impact of fuel price on the development of the urban sprawl in Spain," Journal of Transport Geography, Elsevier, vol. 33(C), pages 180-187.
    7. Xue, Jin, 2014. "Is eco-village/urban village the future of a degrowth society? An urban planner's perspective," Ecological Economics, Elsevier, vol. 105(C), pages 130-138.
    8. Dai, Jiangyu & Wu, Shiqiang & Han, Guoyi & Weinberg, Josh & Xie, Xinghua & Wu, Xiufeng & Song, Xingqiang & Jia, Benyou & Xue, Wanyun & Yang, Qianqian, 2018. "Water-energy nexus: A review of methods and tools for macro-assessment," Applied Energy, Elsevier, vol. 210(C), pages 393-408.
    9. Li, Li & Shan, Yuli & Lei, Yalin & Wu, Sanmang & Yu, Xiang & Lin, Xiyan & Chen, Yupei, 2019. "Decoupling of economic growth and emissions in China’s cities: A case study of the Central Plains urban agglomeration," Applied Energy, Elsevier, vol. 244(C), pages 36-45.
    10. Xu, Tingting & Gao, Jay & Li, Yuhua, 2019. "Machine learning-assisted evaluation of land use policies and plans in a rapidly urbanizing district in Chongqing, China," Land Use Policy, Elsevier, vol. 87(C).
    11. Wang, Qiang & Han, Xinyu, 2021. "Is decoupling embodied carbon emissions from economic output in Sino-US trade possible?," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    12. Liobikienė, Genovaitė & Butkus, Mindaugas, 2017. "Environmental Kuznets Curve of greenhouse gas emissions including technological progress and substitution effects," Energy, Elsevier, vol. 135(C), pages 237-248.
    13. Goulden, Murray & Ryley, Tim & Dingwall, Robert, 2014. "Beyond ‘predict and provide’: UK transport, the growth paradigm and climate change," Transport Policy, Elsevier, vol. 32(C), pages 139-147.
    14. Long, Fenjie & Zheng, Longfei & Song, Zhida, 2018. "High-speed rail and urban expansion: An empirical study using a time series of nighttime light satellite data in China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 106-118.
    15. Mounir Dahmani & Mohamed Mabrouki & Ludovic Ragni, 2021. "Decoupling Analysis of Greenhouse Gas Emissions from Economic Growth: A Case Study of Tunisia," Energies, MDPI, vol. 14(22), pages 1-15, November.
    16. Huang, Beijia & Mauerhofer, Volker, 2016. "Low carbon technology assessment and planning—Case analysis of building sector in Chongming, Shanghai," Renewable Energy, Elsevier, vol. 86(C), pages 324-331.
    17. Liu, Tie-Ying & Su, Chi-Wei, 2021. "Is transportation improving urbanization in China?," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    18. Shasha Lu & Xingliang Guan & Chao He & Jiali Zhang, 2014. "Spatio-Temporal Patterns and Policy Implications of Urban Land Expansion in Metropolitan Areas: A Case Study of Wuhan Urban Agglomeration, Central China," Sustainability, MDPI, vol. 6(8), pages 1-26, July.
    19. Poelhekke, Steven, 2011. "Urban growth and uninsured rural risk: Booming towns in bust times," Journal of Development Economics, Elsevier, vol. 96(2), pages 461-475, November.
    20. Ke Huang & Martin Dallimer & Lindsay C. Stringer & Anlu Zhang & Ting Zhang, 2021. "Does Economic Agglomeration Lead to Efficient Rural to Urban Land Conversion? An Examination of China’s Metropolitan Area Development Strategy," Sustainability, MDPI, vol. 13(4), pages 1-19, February.

    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:jsusta:v:9:y:2017:i:7:p:1258-:d:105074. 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.