IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v96y2020ics0264837719317703.html
   My bibliography  Save this article

How cropland losses shaped by unbalanced urbanization process?

Author

Listed:
  • Qiu, Bingwen
  • Li, Haiwen
  • Tang, Zhenghong
  • Chen, Chongcheng
  • Berry, Joe

Abstract

Urbanization has widely known to directly consume swaths of cropland worldwide. Knowledge on what kinds of urbanization processes spared cropland is important for land use planning. This study offered insights on the impact of city level (city hierarchy: from the 1st to the 6th Tier cities) and urbanization modes (mega-city, city, town and village modes) on cropland losses through a first-ever continuous national survey on 345 prefectural level cities or above in mainland China from 2003 to 2016. We found that higher tier cities were associated with more direct and severe losses. Specifically, over 80 % of the recent urbanization formed on cropland in the 1st Tier cities, and the newly 1st Tier cities suffered the most rigorous losses. At national level, mega-city mode urbanization resulted in direct cropland losses (80 %) and the village mode was associated with prominent high-quality ratio (45 %). Town mode spared cropland more than village mode. However, ranking with urbanization mode was less obvious and even changed in the lower-Tier cities. At national scale, around 1.45 % of the total cropland area (approximately 2297 km² per year), including 1.06 % of high quality cropland area (approximately 852 km² per year), has been permanently lost. The most rapid cropland loss was in 2009 (3464 km2), and that of high quality cropland occurring in 2007 (1775 km2). Over 95 % cropland losses located in the east of the Hu line. Findings in this study called for target adaptive planning with full considerations of city hierarchy and urbanization mode. Particularly, land use policies to effective support land development in small towns can potentially relief pressure on cropland.

Suggested Citation

  • Qiu, Bingwen & Li, Haiwen & Tang, Zhenghong & Chen, Chongcheng & Berry, Joe, 2020. "How cropland losses shaped by unbalanced urbanization process?," Land Use Policy, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:lauspo:v:96:y:2020:i:c:s0264837719317703
    DOI: 10.1016/j.landusepol.2020.104715
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837719317703
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2020.104715?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lijun Zuo & Zengxiang Zhang & Kimberly M. Carlson & Graham K. MacDonald & Kate A. Brauman & Yingchun Liu & Wen Zhang & Huayong Zhang & Wenbin Wu & Xiaoli Zhao & Xiao Wang & Bin Liu & Ling Yi & Qingke , 2018. "Progress towards sustainable intensification in China challenged by land-use change," Nature Sustainability, Nature, vol. 1(6), pages 304-313, June.
    2. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Global land change from 1982 to 2016," Nature, Nature, vol. 560(7720), pages 639-643, August.
    3. Douglass C. North, 1955. "Location Theory and Regional Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 63(3), pages 243-243.
    4. Jasper van Vliet, 2019. "Direct and indirect loss of natural area from urban expansion," Nature Sustainability, Nature, vol. 2(8), pages 755-763, August.
    5. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    6. Xiangbin Kong, 2014. "China must protect high-quality arable land," Nature, Nature, vol. 506(7486), pages 7-7, February.
    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. Yue Zhang & Yaqiang Dai & Yuanyuan Chen & Xinli Ke, 2022. "Coupling Coordination Development of New-Type Urbanization and Cultivated Land Low-Carbon Utilization in the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-24, June.
    2. Meng Wang & Qingchen Xu & Zemeng Fan & Xiaofang Sun, 2021. "The Imprint of Built-Up Land Expansion on Cropland Distribution and Productivity in Shandong Province," Land, MDPI, vol. 10(6), pages 1-12, June.
    3. Yue Wu & Yue Yang & Weishun Xu & Qiuxiao Chen, 2020. "The Influence of Innovation Resources in Higher Education Institutions on the Development of Sci-Tech Parks’ Enterprises in the Urban Innovative Districts at the Stage of Urbanization Transformation," Land, MDPI, vol. 9(10), pages 1-36, October.
    4. Qiu, Bingwen & Jian, Zeyu & Yang, Peng & Tang, Zhenghong & Zhu, Xiaolin & Duan, Mingjie & Yu, Qiangyi & Chen, Xuehong & Zhang, Miao & Tu, Ping & Xu, Weiming & Zhao, Zhiyuan, 2024. "Unveiling grain production patterns in China (2005–2020) towards targeted sustainable intensification," Agricultural Systems, Elsevier, vol. 216(C).
    5. Wenting Zhang & Bo Li, 2021. "Research on an Analytical Framework for Urban Spatial Structural and Functional Optimisation: A Case Study of Beijing City, China," Land, MDPI, vol. 10(1), pages 1-19, January.
    6. Anning Liang & Dongmei Yan & Jun Yan & Yayang Lu & Xiaowei Wang & Wanrong Wu, 2023. "A Comprehensive Assessment of Sustainable Development of Urbanization in Hainan Island Using Remote Sensing Products and Statistical Data," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    7. Xuechao Xia & Hui Sun & Zedong Yang & Weipeng Yuan & Dianyuan Ma, 2022. "Decoupling Analysis of Rural Population Change and Rural Electricity Consumption Change in China," IJERPH, MDPI, vol. 19(11), pages 1-19, May.
    8. Binfeng Ma, 2022. "The Impact of Environmental Pollution on Residents’ Income Caused by the Imbalance of Regional Economic Development Based on Artificial Intelligence," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    9. Yuxi Liu & Cheng Huang & Lvshui Zhang, 2023. "The Spatio-Temporal Patterns and Driving Forces of Land Use in the Context of Urbanization in China: Evidence from Nanchang City," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    10. Sumbo, Dennis Kamaanaa & Anane, George Kwadwo & Inkoom, Daniel Kweku Baah, 2023. "‘Peri-urbanisation and loss of arable land’: Indigenes’ farmland access challenges and adaptation strategies in Kumasi and Wa, Ghana," Land Use Policy, Elsevier, vol. 126(C).
    11. Qie, Lu & Pu, Lijie & Tang, Pengfei & Liu, Rongjuan & Huang, Sihua & Xu, Fei & Zhong, Taiyang, 2023. "Gains and losses of farmland associated with farmland protection policy and urbanization in China: An integrated perspective based on goal orientation," Land Use Policy, Elsevier, vol. 129(C).
    12. Wang, Di & Zhou, Tao & Wang, Mengmeng, 2021. "Information and communication technology (ICT), digital divide and urbanization: Evidence from Chinese cities," Technology in Society, Elsevier, vol. 64(C).
    13. Jiyun Li & Yong Zhou & Qing Li & Siqi Yi & Lina Peng, 2022. "Exploring the Effects of Land Use Changes on the Landscape Pattern and Soil Erosion of Western Hubei Province from 2000 to 2020," IJERPH, MDPI, vol. 19(3), pages 1-27, January.

    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. Zhou, Yang & Zhong, Zhen & Cheng, Guoqiang, 2023. "Cultivated land loss and construction land expansion in China: Evidence from national land surveys in 1996, 2009 and 2019," Land Use Policy, Elsevier, vol. 125(C).
    2. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    3. Ke, Xinli & Chen, Jing & Zuo, Chengchao & Wang, Xiaoqian, 2024. "The cropland intensive utilisation transition in China: An induced factor substitution perspective," Land Use Policy, Elsevier, vol. 141(C).
    4. Qiu, Bingwen & Jian, Zeyu & Yang, Peng & Tang, Zhenghong & Zhu, Xiaolin & Duan, Mingjie & Yu, Qiangyi & Chen, Xuehong & Zhang, Miao & Tu, Ping & Xu, Weiming & Zhao, Zhiyuan, 2024. "Unveiling grain production patterns in China (2005–2020) towards targeted sustainable intensification," Agricultural Systems, Elsevier, vol. 216(C).
    5. Yi Li & Yurui Li & Bin Fang & Lulu Qu & Chongjing Wang & Wubo Li, 2021. "Land Use Change and Farmers’ Sense of Place in Typical Catchment of the Loess Hilly and Gully Region of China," Land, MDPI, vol. 10(8), pages 1-19, August.
    6. Meng Wang & Qingchen Xu & Zemeng Fan & Xiaofang Sun, 2021. "The Imprint of Built-Up Land Expansion on Cropland Distribution and Productivity in Shandong Province," Land, MDPI, vol. 10(6), pages 1-12, June.
    7. Congmou Zhu & Lixia Yang & Qiuyu Xu & Jinwei Fu & Yue Lin & Le Sun & Shan He & Shaofeng Yuan, 2022. "A Comparative Analysis of Farmland Occupation by Urban Sprawl and Rural Settlement Expansion in China," Land, MDPI, vol. 11(10), pages 1-16, October.
    8. Cheng, Mingyang & Yansui Liu, & Zhou, Yang, 2019. "Measuring the symbiotic development of rural housing and industry: A case study of Fuping County in the Taihang Mountains in China," Land Use Policy, Elsevier, vol. 82(C), pages 307-316.
    9. Zhang, Bangbang & Li, Xian & Chen, Haibin & Niu, Wenhao & Kong, Xiangbin & Yu, Qiang & Zhao, Minjuan & Xia, Xianli, 2022. "Identifying opportunities to close yield gaps in China by use of certificated cultivars to estimate potential productivity," Land Use Policy, Elsevier, vol. 117(C).
    10. Wang, Liye & Zhang, Siyu & Xiong, Qiangqiang & Liu, Yu & Liu, Yanfang & Liu, Yaolin, 2022. "Spatiotemporal dynamics of cropland expansion and its driving factors in the Yangtze River Economic Belt: A nuanced analysis at the county scale," Land Use Policy, Elsevier, vol. 119(C).
    11. Liu, Jingming & Chen, Haibin & Hou, Xianhui & Zhang, Daojun & Zhang, Hui, 2021. "Time to adopt a context-specific and market-based compensation scheme for a new round of the Grain for Green Program," Land Use Policy, Elsevier, vol. 108(C).
    12. Honglei Jiang & Xia Xu & Lingfei Wang & Tong Zhang, 2021. "Integrating Ecosystem Service Values and Economic Benefits for Sustainable Land Use Management in Semi-Arid Regions in Northern China," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    13. Wang, Liye & Zhang, Siyu & Tang, Lanping & Lu, Yanchi & Liu, Yanfang & Liu, Yaolin, 2022. "Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China," Land Use Policy, Elsevier, vol. 115(C).
    14. Wang, Huan & Zhang, Chao & Yao, Xiaochuang & Yun, Wenju & Ma, Jiani & Gao, Lulu & Li, Pengshan, 2022. "Scenario simulation of the tradeoff between ecological land and farmland in black soil region of Northeast China," Land Use Policy, Elsevier, vol. 114(C).
    15. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    16. Lego, Brian & Gebremedhin, Tesfa & Cushing, Brian, 2000. "A Multi-Sector Export Base Model of Long-Run Regional Employment Growth," Agricultural and Resource Economics Review, Cambridge University Press, vol. 29(2), pages 192-197, October.
    17. Tomaz Dentinho & Vanda Serpa & Paulo Silveira & Joana Goncalves, 2006. "Land Use Change and Socio-Economic Evaluation in São Jorge Island (Between 15th and 20th Century)," ERSA conference papers ersa06p91, European Regional Science Association.
    18. Jianglin Lu & Keqiang Wang & Hongmei Liu, 2022. "Residents’ Selection Behavior of Compensation Schemes for Construction Land Reduction: Empirical Evidence from Questionnaires in Shanghai, China," Land, MDPI, vol. 12(1), pages 1-29, December.
    19. Lü, Da & Gao, Guangyao & Lü, Yihe & Xiao, Feiyan & Fu, Bojie, 2020. "Detailed land use transition quantification matters for smart land management in drylands: An in-depth analysis in Northwest China," Land Use Policy, Elsevier, vol. 90(C).
    20. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).

    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:eee:lauspo:v:96:y:2020:i:c:s0264837719317703. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.