IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2017i1p75-d124758.html
   My bibliography  Save this article

Exploring the Patterns and Mechanisms of Reclaimed Arable Land Utilization under the Requisition-Compensation Balance Policy in Wenzhou, China

Author

Listed:
  • Lin Lin

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Hongzhen Jia

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Yi Pan

    (Institute of Land and Urban-rural Development, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Lefeng Qiu

    (Institute of Land and Urban-rural Development, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Muye Gan

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Shenggao Lu

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Jinsong Deng

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Zhoulu Yu

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Ke Wang

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

Abstract

Arable land in China is undergoing significant changes, with massive losses of arable land due to rapid urbanization and the reclamation of arable land from other lands to compensate for these losses. Many studies have analyzed arable land loss, but less attention has been paid to land reclamation, and the utilization of reclaimed land remains unclear. The goal of our study was to characterize the patterns and efficiency of the utilization of reclaimed land and to identify the factors influencing the land utilization process in Wenzhou using remote sensing, geographic information systems and logistic regression. Our results showed that only 37% of the total reclaimed land area was under cultivation, and other lands were still bare or had been covered by trees and grasses. The likelihood that reclaimed land was used for cultivation was highly correlated with the land use type of its neighboring or adjacent parcels. Reclaimed land utilization was also limited at high elevations in lands with poor soil fertility and in lands at a great distance from rural residential areas. In addition, parcels located in the ecological protection zone were less likely to be cultivated. Therefore, we suggest that the important determinants should be considered when identifying the most suitable land reclamation areas.

Suggested Citation

  • Lin Lin & Hongzhen Jia & Yi Pan & Lefeng Qiu & Muye Gan & Shenggao Lu & Jinsong Deng & Zhoulu Yu & Ke Wang, 2017. "Exploring the Patterns and Mechanisms of Reclaimed Arable Land Utilization under the Requisition-Compensation Balance Policy in Wenzhou, China," Sustainability, MDPI, vol. 10(1), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2017:i:1:p:75-:d:124758
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/1/75/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/1/75/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ward Lyles & Philip Berke & Gavin Smith, 2016. "Local plan implementation: assessing conformance and influence of local plans in the United States," Environment and Planning B, , vol. 43(2), pages 381-400, March.
    2. Zhang, Qianwen & Gao, Wujun & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2017. "Biophysical and socioeconomic determinants of tea expansion: Apportioning their relative importance for sustainable land use policy," Land Use Policy, Elsevier, vol. 68(C), pages 438-447.
    3. Miyamoto, Motoe, 2006. "Forest conversion to rubber around Sumatran villages in Indonesia: Comparing the impacts of road construction, transmigration projects and population," Forest Policy and Economics, Elsevier, vol. 9(1), pages 1-12, November.
    4. Lin Lin & Ziran Ye & Muye Gan & Amir Reza Shahtahmassebi & Melanie Weston & Jinsong Deng & Shenggao Lu & Ke Wang, 2017. "Quality Perspective on the Dynamic Balance of Cultivated Land in Wenzhou, China," Sustainability, MDPI, vol. 9(1), pages 1-17, January.
    5. Xiangbin Kong, 2014. "China must protect high-quality arable land," Nature, Nature, vol. 506(7486), pages 7-7, February.
    6. Hualin Xie & Peng Wang & Guanrong Yao, 2014. "Exploring the Dynamic Mechanisms of Farmland Abandonment Based on a Spatially Explicit Economic Model for Environmental Sustainability: A Case Study in Jiangxi Province, China," Sustainability, MDPI, vol. 6(3), pages 1-23, March.
    7. Menard, Scott, 2004. "Six Approaches to Calculating Standardized Logistic Regression Coefficients," The American Statistician, American Statistical Association, vol. 58, pages 218-223, August.
    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. Su, Yue & Qian, Kui & Lin, Lin & Wang, Ke & Guan, Tao & Gan, Muye, 2020. "Identifying the driving forces of non-grain production expansion in rural China and its implications for policies on cultivated land protection," Land Use Policy, Elsevier, vol. 92(C).
    2. Xue Zhang & Lingyun Liao & Zhengduo Xu & Jiayu Zhang & Mengwei Chi & Siren Lan & Qiaochun Gan, 2022. "Interactive Effects on Habitat Quality Using InVEST and GeoDetector Models in Wenzhou, China," Land, MDPI, vol. 11(5), pages 1-19, April.

    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. Basanta Paudel & Jungang Gao & Yili Zhang & Xue Wu & Shicheng Li & Jianzhong Yan, 2016. "Changes in Cropland Status and Their Driving Factors in the Koshi River Basin of the Central Himalayas, Nepal," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    2. Shan He & Hailun Zhu & Amir Reza Shahtahmassebi & Lefeng Qiu & Chaofan Wu & Zhangquan Shen & Ke Wang, 2018. "Spatiotemporal Variability of Soil Nitrogen in Relation to Environmental Factors in a Low Hilly Region of Southeastern China," IJERPH, MDPI, vol. 15(10), pages 1-19, September.
    3. Meng Wang & Xiaofang Sun & Zemeng Fan & Tianxiang Yue, 2019. "Investigation of Future Land Use Change and Implications for Cropland Quality: The Case of China," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    4. Castro, P. & Pedroso, R. & Lautenbach, S. & Vicens, R., 2020. "Farmland abandonment in Rio de Janeiro: Underlying and contributory causes of an announced development," Land Use Policy, Elsevier, vol. 95(C).
    5. Guo Chen & Amy K Glasmeier & Min Zhang & Yang Shao, 2016. "Urbanization and Income Inequality in Post-Reform China: A Causal Analysis Based on Time Series Data," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-16, July.
    6. 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).
    7. Wojciech Sroka & Jaroslaw Mikolajczyk & Tomasz Wojewodzic & Boguslawa Kwoczynska, 2018. "Agricultural Land vs. Urbanisation in Chosen Polish Metropolitan Areas: A Spatial Analysis Based on Regression Trees," Sustainability, MDPI, vol. 10(3), pages 1-22, March.
    8. Miyamoto, Motoe & Mohd Parid, Mamat & Noor Aini, Zakaria & Michinaka, Tetsuya, 2014. "Proximate and underlying causes of forest cover change in Peninsular Malaysia," Forest Policy and Economics, Elsevier, vol. 44(C), pages 18-25.
    9. Han Li & Wei Song, 2021. "Cropland Abandonment and Influencing Factors in Chongqing, China," Land, MDPI, vol. 10(11), pages 1-21, November.
    10. Chengqiang Li & Junxiao Wang & Liang Ge & Yujie Zhou & Shenglu Zhou, 2022. "Optimization of Sample Construction Based on NDVI for Cultivated Land Quality Prediction," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    11. Bernhard Dalheimer & Christoph Kubitza & Bernhard Brümmer, 2022. "Technical efficiency and farmland expansion: Evidence from oil palm smallholders in Indonesia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1364-1387, August.
    12. Ge, Dazhuan & Long, Hualou & Zhang, Yingnan & Ma, Li & Li, Tingting, 2018. "Farmland transition and its influences on grain production in China," Land Use Policy, Elsevier, vol. 70(C), pages 94-105.
    13. Combes Motel, P. & Pirard, R. & Combes, J.-L., 2009. "A methodology to estimate impacts of domestic policies on deforestation: Compensated Successful Efforts for "avoided deforestation" (REDD)," Ecological Economics, Elsevier, vol. 68(3), pages 680-691, January.
    14. Zhang, Qianwen & Gao, Wujun & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2017. "Biophysical and socioeconomic determinants of tea expansion: Apportioning their relative importance for sustainable land use policy," Land Use Policy, Elsevier, vol. 68(C), pages 438-447.
    15. Nikolova, Milena, 2016. "Minding the happiness gap: Political institutions and perceived quality of life in transition," European Journal of Political Economy, Elsevier, vol. 45(S), pages 129-148.
    16. Yang Sheng & Weizhong Liu & Hailiang Xu & Xianchao Gao, 2021. "The Spatial Distribution Characteristics of the Cultivated Land Quality in the Diluvial Fan Terrain of the Arid Region: A Case Study of Jimsar County, Xinjiang, China," Land, MDPI, vol. 10(9), pages 1-29, August.
    17. 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.
    18. 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).
    19. Wening Sarwosri, Arieska & Mußhoff, Oliver, 2019. "Can crop diversification of perennial crop by smallholder farmers explained by risk attitudes and time preferences?," EFForTS Discussion Paper Series 28, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".
    20. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(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:gam:jsusta:v:10:y:2017:i:1:p:75-:d:124758. 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.