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Spatial pattern of arable land-use intensity in China

Author

Listed:
  • Ye, Sijing
  • Song, Changqing
  • Shen, Shi
  • Gao, Peichao
  • Cheng, Changxiu
  • Cheng, Feng
  • Wan, Changjun
  • Zhu, Dehai

Abstract

In recent years, the sustainable utilization of China’s arable land has been confronted with several challenges. The China government has been very strict in arable land protection, and a package of policies and measures have been promulgated. All these endeavors are of great significance for proposing an innovative policy system for sustainable land use in China. However, above stated policies are all designed from the perspective of space control with the purpose of reducing arable land loss or increasing arable land area, few policies have been designed from the perspective of utilization control, namely guide the actual arable land farming in sustainable ways and constraint unreasonable land use behavior such as overuse, rough use, land abandonment. In this paper, we analyze spatial distribution of average land-use intensity (ALUI) at the county-level in Mainland China, which can be used as a significant index for evaluating the rationality of arable land use and providing effective decision-making supporting information for design of regional arable land protection policy. Based on the experimental results, there is still considerable room for yield improvement as the ALUI of ∼73.1 % counties are lower than 0.7 while the 53.60 % counties are lower than 0.6. Furthermore, the ALUI dataset shows significant global spatial autocorrelation characteristic. Boundaries of regions that aggregated by counties with high ALUI are more consistent with that of provincial administrative districts, comparing with that of sub-standard farming system regions. On the other hand, counties with low ALUI are mostly cluster in mountains, hills, or plateaus, where grain yield is mainly limited by regional hydrothermal conditions. In addition, counties with different ALUI status have been divided into six classes, using k-means clustering algorithm. This will facilitate the understanding of appropriate arable land protection and utilization paths for different regions and the rethinking of current support policies on farmland protection.

Suggested Citation

  • Ye, Sijing & Song, Changqing & Shen, Shi & Gao, Peichao & Cheng, Changxiu & Cheng, Feng & Wan, Changjun & Zhu, Dehai, 2020. "Spatial pattern of arable land-use intensity in China," Land Use Policy, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:lauspo:v:99:y:2020:i:c:s0264837719313407
    DOI: 10.1016/j.landusepol.2020.104845
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    as
    1. Jin, Jianjun & He, Rui & Wang, Wenyu & Gong, Haozhou, 2018. "Valuing cultivated land protection: A contingent valuation and choice experiment study in China," Land Use Policy, Elsevier, vol. 74(C), pages 214-219.
    2. Cui, Qian & Wu, Yu-ling & Li, Qing, 2010. "Construction of the Classification and Grading Index System of Cultivated Land Based on the Viewpoint of Sustainable Development," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 2(09), pages 1-5, September.
    3. Hualin Xie & Jinlang Zou & Hailing Jiang & Ning Zhang & Yongrok Choi, 2014. "Spatiotemporal Pattern and Driving Forces of Arable Land-Use Intensity in China: Toward Sustainable Land Management Using Emergy Analysis," Sustainability, MDPI, vol. 6(6), pages 1-17, May.
    4. Yang, Yuanyuan & Liu, Yansui & Li, Yurui & Li, Jintao, 2018. "Measure of urban-rural transformation in Beijing-Tianjin-Hebei region in the new millennium: Population-land-industry perspective," Land Use Policy, Elsevier, vol. 79(C), pages 595-608.
    5. Alexandratos, Nikos & Bruinsma, Jelle, 2012. "World agriculture towards 2030/2050: the 2012 revision," ESA Working Papers 288998, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    6. 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.
    7. J. Keith Ord & Arthur Getis, 2001. "Testing for Local Spatial Autocorrelation in the Presence of Global Autocorrelation," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 411-432, August.
    8. Kuemmerle, Tobias & Erb, Karlheinz & Meyfroidt, Patrick & Müller, Daniel & Verburg, Peter H & Estel, Stephan & Haberl, Helmut & Hostert, Patrick & Jepsen, Martin R. & Kastner, Thomas & Levers, Christi, 2013. "Challenges and opportunities in mapping land use intensity globally," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 484-493.
    9. Gao, Jinlong & Chen, Wen & Liu, Yansui, 2018. "Spatial restructuring and the logic of industrial land redevelopment in urban China: II. A case study of the redevelopment of a local state-owned enterprise in Nanjing," Land Use Policy, Elsevier, vol. 72(C), pages 372-380.
    10. Coyle, Cait & Creamer, Rachel E. & Schulte, Rogier P.O. & O'Sullivan, Lilian & Jordan, Phil, 2016. "A Functional Land Management conceptual framework under soil drainage and land use scenarios," Environmental Science & Policy, Elsevier, vol. 56(C), pages 39-48.
    11. Dietrich, Jan Philipp & Schmitz, Christoph & Müller, Christoph & Fader, Marianela & Lotze-Campen, Hermann & Popp, Alexander, 2012. "Measuring agricultural land-use intensity – A global analysis using a model-assisted approach," Ecological Modelling, Elsevier, vol. 232(C), pages 109-118.
    12. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    13. Arthur Getis & J. Keith Ord, 2010. "The Analysis of Spatial Association by Use of Distance Statistics," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 127-145, Springer.
    14. Malthus, Thomas Robert, 1798. "An Essay on the Principle of Population," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number malthus1798.
    15. Erb, Karl-Heinz & Haberl, Helmut & Jepsen, Martin Rudbeck & Kuemmerle, Tobias & Lindner, Marcus & Müller, Daniel & Verburg, Peter H & Reenberg, Anette, 2013. "A conceptual framework for analysing and measuring land-use intensity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 464-470.
    16. Neumann, Kathleen & Verburg, Peter H. & Stehfest, Elke & Müller, Christoph, 2010. "The yield gap of global grain production: A spatial analysis," Agricultural Systems, Elsevier, vol. 103(5), pages 316-326, June.
    17. Zuliang Zhao & Liu Zhe & Xiaodong Zhang & Xuli Zan & Xiaochuang Yao & Sijia Wang & Sijing Ye & Shaoming Li & Dehai Zhu, 2018. "Spatial Layout of Multi-Environment Test Sites: A Case Study of Maize in Jilin Province," Sustainability, MDPI, vol. 10(5), pages 1-13, May.
    Full references (including those not matched with items on IDEAS)

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