IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v99y2020ics0264837719313407.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837719313407
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2020.104845?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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    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)

    Citations

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


    Cited by:

    1. 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.
    2. Li, Xiaoliang & Wu, Kening & Yang, Qijun & Hao, Shiheng & Feng, Zhe & Ma, Jinliang, 2023. "Quantitative assessment of cultivated land use intensity in Heilongjiang Province, China, 2001–2015," Land Use Policy, Elsevier, vol. 125(C).
    3. Wenyu Ma & Yuchun Pan & Zaijin Sun & Changhua Liu & Xiaolan Li & Li Xu & Yunbing Gao, 2023. "Input Flux and the Risk of Heavy Metal(Loid) of Agricultural Soil in China: Based on Spatiotemporal Heterogeneity from 2000 to 2021," Land, MDPI, vol. 12(6), pages 1-22, June.
    4. Li Zhao & Mengwei Su & Xueyan Wang & Xiaoqing Li & Xinhan Chang & Pengtao Zhang, 2023. "Spatial–Temporal Evolution and Prediction of Habitat Quality in Beijing–Tianjin–Hebei Region Based on Land Use Change," Land, MDPI, vol. 12(3), pages 1-16, March.
    5. Long Kang & Rui Zhao & Kening Wu & Zhe Feng & Huafu Zhao & Sicheng Zhang, 2023. "Distribution Characteristics and Influencing Factors of Soil Biological Indicators in Typical Farmland Soils," Land, MDPI, vol. 12(4), pages 1-14, March.
    6. Nan Ke & Xupeng Zhang & Xinhai Lu & Bing Kuang & Bin Jiang, 2022. "Regional Disparities and Influencing Factors of Eco-Efficiency of Arable Land Utilization in China," Land, MDPI, vol. 11(2), pages 1-17, February.
    7. Rui Zhao & Kening Wu & Xiaoliang Li & Nan Gao & Mingming Yu, 2021. "Discussion on the Unified Survey and Evaluation of Cultivated Land Quality at County Scale for China’s 3rd National Land Survey: A Case Study of Wen County, Henan Province," Sustainability, MDPI, vol. 13(5), pages 1-26, February.
    8. Guanyi Yin & Yi Lou & Shuai Xie & Wei Wei, 2022. "Evaluation of the Response of Grain Productivity to Different Arable Land Allocation Intensities in the Land Use Planning System of China," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    9. Yirui Han & Qinqin Pan & Yuee Cao & Jianhong Zhang & Jiaxuan Yuan & Borui Li & Saiqiang Li & Renfeng Ma & Xu Luo & Longbin Sha & Xiaodong Yang, 2022. "Estimation of Grain Crop Yields after Returning the Illegal Nurseries and Orchards to Cultivated Land in the Yangtze River Delta Region," Land, MDPI, vol. 11(11), pages 1-19, November.
    10. Liu, Chenyu & Song, Changqing & Ye, Sijing & Cheng, Feng & Zhang, Leina & Li, Chao, 2023. "Estimate provincial-level effectiveness of the arable land requisition-compensation balance policy in mainland China in the last 20 years," Land Use Policy, Elsevier, vol. 131(C).
    11. Ting Du & Chao Li & Zhaolin Wang, 2023. "Spatial Differentiation and Influencing Mechanisms of Farmland Transfer Rents in Mountainous Areas: Evidence from Chongqing and Its Surrounding Areas," Land, MDPI, vol. 12(3), pages 1-19, March.
    12. Xu, Feng & Chi, Guangqing & Zhang, Zhexi & Yang, Jianxin, 2023. "How does quality regional growth affect land resources dependence in China? Evidence based on spatial Durbin panel models," Resources Policy, Elsevier, vol. 81(C).
    13. Xiaoyang Han & Sijing Ye & Shuyi Ren & Changqing Song, 2023. "Using the DTFM Method to Analyse the Degradation Process of Bilateral Trade Relations between China and Australia," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    14. Yu, Zhenning & She, Shuoqi & Xia, Chuyu & Luo, Jiaojiao, 2023. "How to solve the dilemma of China’s land fallow policy: Application of voluntary bidding mode in the Yangtze River Delta of China," Land Use Policy, Elsevier, vol. 125(C).
    15. Yaoyao Wu & Hanqi Liao & Lei Fang & Guizhen Guo, 2023. "Quantitative Study on Agricultural Premium Rate and Its Distribution in China," Land, MDPI, vol. 12(1), pages 1-14, January.
    16. Jianhui Dong & Wenju Yun & Kening Wu & Shaoshuai Li & Bingrui Liu & Qiaoyuan Lu, 2023. "Spatio-Temporal Analysis of Cultivated Land from 2010 to 2020 in Long’an County, Karst Region, China," Land, MDPI, vol. 12(2), pages 1-22, February.
    17. Jiacheng Niu & Huaizhi Tang & Qi Liu & Feng Cheng & Leina Zhang & Lingling Sang & Yuanfang Huang & Chongyang Shen & Bingbo Gao & Zibing Niu, 2022. "Determinants of Soil Bacterial Diversity in a Black Soil Region in a Large-Scale Area," Land, MDPI, vol. 11(5), pages 1-16, May.
    18. Mengyao Han & Shuchang Li, 2021. "Transfer Patterns and Drivers of Embodied Agricultural Land within China: Based on Multi-Regional Decomposition Analysis," Land, MDPI, vol. 10(2), pages 1-16, February.
    19. Xuan Zhao & Jianjun Liu & Yuankun Bu, 2021. "Quantitative Analysis of Spatial Heterogeneity and Driving Forces of the Thermal Environment in Urban Built-up Areas: A Case Study in Xi’an, China," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    20. Yang, Zhiyuan & Zhu, Yuemei & Zhang, Jinyue & Li, Xuyi & Ma, Peng & Sun, Jiawei & Sun, Yongjian & Ma, Jun & Li, Na, 2022. "Comparison of energy use between fully mechanized and semi-mechanized rice production in Southwest China," Energy, Elsevier, vol. 245(C).
    21. Sijing Ye & Changqing Song & Yakov Kuzyakov & Feng Cheng & Xiangbin Kong & Zhe Feng & Peichao Gao, 2022. "Preface: Arable Land Quality: Observation, Estimation, Optimization, and Application," Land, MDPI, vol. 11(6), pages 1-5, June.
    22. Xiaoliang Li & Kening Wu & Rui Zhao & Yanan Liu & Xiao Li & Qijun Yang, 2021. "Spatial Analysis of Cultivated Land Productivity and Health Condition: A Case Study of Gaoping City, China," Land, MDPI, vol. 10(12), pages 1-19, November.
    23. Sun, Xueqing & Xiang, Pengcheng & Cong, Kexin, 2023. "Research on early warning and control measures for arable land resource security," Land Use Policy, Elsevier, vol. 128(C).
    24. Sijing Ye & Changqing Song & Peichao Gao & Chenyu Liu & Changxiu Cheng, 2022. "Visualizing clustering characteristics of multidimensional arable land quality indexes at the county level in mainland China," Environment and Planning A, , vol. 54(2), pages 222-225, March.

    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. Zeng, Zhaozhao & Song, Bingjie & Zheng, Xiaodong & Li, Huan, 2019. "Changes of traffic network and urban transformation: A case study of Xi’an city, China," Land Use Policy, Elsevier, vol. 88(C).
    2. Cai, Zhaoyang & Liu, Qing & Cao, Shixiong, 2020. "Real estate supports rapid development of China's urbanization," Land Use Policy, Elsevier, vol. 95(C).
    3. Chen, Zhu & Zhang, Anlu & Zhou, Kehao & Huang, Lingxiang, 2021. "Can payment tools substitute for regulatory ones? Estimating the policy preference for agricultural land preservation, Tianjin, China," Land Use Policy, Elsevier, vol. 100(C).
    4. Tian, Yingying & Zhou, Dingyang & Jiang, Guanghui, 2021. "A new quality management system of admittance indicators to improve industrial land use efficiency in the Beijing−Tianjin−Hebei region," Land Use Policy, Elsevier, vol. 107(C).
    5. Yue, Wenze & Wang, Tianyu & Liu, Yong & Zhang, Qun & Ye, Xinyue, 2019. "Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage," Land Use Policy, Elsevier, vol. 88(C).
    6. Lu, Shasha & Zhou, Yi & Sun, Haisheng & Chen, Ni & Guan, Xingliang, 2021. "Examining the influencing factors of forest health, its implications on rural revitalization: A case study of five forest farms in Beijing," Land Use Policy, Elsevier, vol. 102(C).
    7. Zhang, Xianchun & Sun, Yi, 2019. "Investigating institutional integration in the contexts of Chinese city-regionalization: Evidence from Shenzhen–Dongguan–Huizhou," Land Use Policy, Elsevier, vol. 88(C).
    8. Wang, Cheng & Wang, Gang & Guo, Ziru & Dai, Lingjun & Liu, Hongyu & Li, Yufeng & Chen, Hao & Zhao, Yongxiang & Zhang, Yanan & Cheng, Hai, 2020. "Effects of land-use change on the distribution of the wintering red-crowned crane (Grus japonensis) in the coastal area of northern Jiangsu Province, China," Land Use Policy, Elsevier, vol. 90(C).
    9. Leng Liu & Congjie Cao & Wei Song, 2023. "Bibliometric Analysis in the Field of Rural Revitalization: Current Status, Progress, and Prospects," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
    10. Zhuang, Liang & Ye, Chao, 2020. "Changing imbalance: Spatial production of national high-tech industrial development zones in China (1988-2018)," Land Use Policy, Elsevier, vol. 94(C).
    11. Lu, Xinhai & Li, Yan & Ke, Shangan, 2020. "Spatial distribution pattern and its optimization strategy of China’s overseas farmland investments," Land Use Policy, Elsevier, vol. 91(C).
    12. Wen, Yangyang & Zhang, Zhengfeng & Liang, Di & Xu, Ze, 2020. "Rural Residential Land Transition in the Beijing-Tianjin-Hebei Region: Spatial-Temporal Patterns and Policy Implications," Land Use Policy, Elsevier, vol. 96(C).
    13. Zhou, Qian & Shao, Qinglong & Zhang, Xiaoling & Chen, Jie, 2020. "Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density," Land Use Policy, Elsevier, vol. 91(C).
    14. Gao, Yang & Liu, Bei & Yu, Lili & Yang, Haoran & Yin, Shijiu, 2019. "Social capital, land tenure and the adoption of green control techniques by family farms: Evidence from Shandong and Henan Provinces of China," Land Use Policy, Elsevier, vol. 89(C).
    15. Roux, Nicolas & Kastner, Thomas & Erb, Karl-Heinz & Haberl, Helmut, 2021. "Does agricultural trade reduce pressure on land ecosystems? Decomposing drivers of the embodied human appropriation of net primary production," Ecological Economics, Elsevier, vol. 181(C).
    16. Wu, Wenbin & You, Liangzhi & Chen, Kevin Z., 2015. "Cropping intensity gaps: The potential for expanded global harvest areas:," IFPRI discussion papers 1459, International Food Policy Research Institute (IFPRI).
    17. Zhang, Ling & Zhang, Lei & Xu, Yan & Zhou, Peng & Yeh, Chung-Hsing, 2020. "Evaluating urban land use efficiency with interacting criteria: An empirical study of cities in Jiangsu China," Land Use Policy, Elsevier, vol. 90(C).
    18. Zeng, Chen, 2019. "Spatial spillover effect on land conveyance fee—A multi-scheme investigation in Wuhan agglomeration," Land Use Policy, Elsevier, vol. 89(C).
    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. Wang, Bo & Li, Fan & Feng, Shuyi & Shen, Tong, 2020. "Transfer of development rights, farmland preservation, and economic growth: a case study of Chongqing’s land quotas trading program," Land Use Policy, Elsevier, vol. 95(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:99:y:2020:i:c:s0264837719313407. 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.