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Transfer Patterns and Drivers of Embodied Agricultural Land within China: Based on Multi-Regional Decomposition Analysis

Author

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  • Mengyao Han

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shuchang Li

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

Abstract

Agricultural land is fundamental to human survival and economic development. Unlike other resources, land resources are embodied in trade goods and commodities, which are continuously re-allocated between countries and regions. As a typical ecological element, agricultural land embodied in trade activities can play an essential role in allocating land resources and advancing agricultural development. Based on the multi-regional decomposition analysis, this study investigated the embodied agricultural land flows among 31 provinces/municipalities of China, and classified the transfer patterns into different drivers including intensity-, trade-, and specialization-driven types. The results showed that the total amount of embodied agricultural land is approximately half of the direct agricultural land use area. Among these regions, Heilongjiang had the largest embodied agricultural land outflows, while Guangdong showed a deficit of agricultural land with embodied inflows. For regions such as Heilongjiang, the relatively high intensity and trade specialization significantly contributed to the embodied agricultural land outflows. For municipalities such as Beijing and Shanghai in China, the embodied agricultural land played a practical role in balancing increasingly scarce land resources. From the embodied perspective, agricultural land linkages between supply and demand in different regions could provide a new perspective to address the agricultural land shortage and avoid the inefficient transfer flows, contributing to the optimal allocation of agricultural land within China.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:213-:d:503000
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    References listed on IDEAS

    as
    1. 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).
    2. Wurtenberger, Laura & Koellner, Thomas & Binder, Claudia R., 2006. "Virtual land use and agricultural trade: Estimating environmental and socio-economic impacts," Ecological Economics, Elsevier, vol. 57(4), pages 679-697, June.
    3. Dorninger, Christian & Hornborg, Alf & Abson, David J. & von Wehrden, Henrik & Schaffartzik, Anke & Giljum, Stefan & Engler, John-Oliver & Feller, Robert L. & Hubacek, Klaus & Wieland, Hanspeter, 2021. "Global patterns of ecologically unequal exchange: Implications for sustainability in the 21st century," Ecological Economics, Elsevier, vol. 179(C).
    4. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    5. Wu, X.D. & Guo, J.L. & Han, M.Y. & Chen, G.Q., 2018. "An overview of arable land use for the world economy: From source to sink via the global supply chain," Land Use Policy, Elsevier, vol. 76(C), pages 201-214.
    6. Harry Wilting & Kees Vringer, 2009. "CARBON AND LAND USE ACCOUNTING FROM A PRODUCER'S AND A cONSUMER'S PERSPECTIVE - AN EMPIRICAL EXAMINATION COVERING THE WORLD," Economic Systems Research, Taylor & Francis Journals, vol. 21(3), pages 291-310.
    7. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    8. Wiedmann, Thomas & Lenzen, Manfred & Turner, Karen & Barrett, John, 2007. "Examining the global environmental impact of regional consumption activities -- Part 2: Review of input-output models for the assessment of environmental impacts embodied in trade," Ecological Economics, Elsevier, vol. 61(1), pages 15-26, February.
    9. Gao, Wenwen & de Vries, Walter Timo & Zhao, Qianyu, 2021. "Understanding rural resettlement paths under the increasing versus decreasing balance land use policy in China," Land Use Policy, Elsevier, vol. 103(C).
    10. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    11. Ji, Xi & Han, Mengyao & Ulgiati, Sergio, 2020. "Optimal allocation of direct and embodied arable land associated to urban economy: Understanding the options deriving from economic globalization," Land Use Policy, Elsevier, vol. 91(C).
    12. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    13. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
    14. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    15. Wu, X.F. & Chen, G.Q., 2018. "Coal use embodied in globalized world economy: From source to sink through supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 978-993.
    16. Han, Mengyao & Chen, Guoqian, 2018. "Global arable land transfers embodied in Mainland China’s foreign trade," Land Use Policy, Elsevier, vol. 70(C), pages 521-534.
    17. Han, M.Y. & Chen, G.Q. & Dunford, M., 2019. "Land use balance for urban economy: A multi-scale and multi-type perspective," Land Use Policy, Elsevier, vol. 83(C), pages 323-333.
    18. Lenzen, Manfred & Moran, Daniel & Bhaduri, Anik & Kanemoto, Keiichiro & Bekchanov, Maksud & Geschke, Arne & Foran, Barney, 2013. "International trade of scarce water," Ecological Economics, Elsevier, vol. 94(C), pages 78-85.
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