IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i5p656-d805080.html
   My bibliography  Save this article

Study on the Agricultural Land Transfer Embodied in Inter-Provincial Trade in China

Author

Listed:
  • Xiaomei Fan

    (School of Geographic Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Hongguang Liu

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

  • Mengmeng Wang

    (Kunshan Bureau of Natural Resources and Planning, Kunshan 215300, China)

Abstract

The research on the land resources embodied in the inter-regional economic linkages is of great significance for the ecological compensation and sustainable use of the cultivated land. We constructed a model to estimate the agricultural land transfer embodied in inter-regional trade by using the agricultural land footprint model and the multi-regional input–output model. Taking China as an example, using a 2017 multi-regional input–output table and agricultural land and production data, we evaluated the agricultural land footprints embodied in the inter-provincial demand–supply chain in China and explored their characteristics, revealing the balance of income and expenditure that makes up the agricultural land footprint in each region. The results show that: (1) In 2017, China’s total agricultural land footprint was 557.63 million ha 2 . Developed areas such as Shandong, Guangdong, and Jiangsu in the East generally had a greater footprint than the underdeveloped areas in the west. Provinces with more agricultural land do not necessarily have larger agricultural footprints. (2) The Agriculture, Hunting, Forestry, and Fishing industry and the Food, Beverages, and Tobacco industry were the main two sectors that contributed to the agricultural land footprint for each province, accounting for more than 60% of the total agricultural land footprint in China. (3) The embodied agricultural land transfer between regions showed two main directions on the whole: one was from north to south and the other from west to east, reflecting the transfer law of movement from the less developed regions to those that were more developed.

Suggested Citation

  • Xiaomei Fan & Hongguang Liu & Mengmeng Wang, 2022. "Study on the Agricultural Land Transfer Embodied in Inter-Provincial Trade in China," Land, MDPI, vol. 11(5), pages 1-15, April.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:656-:d:805080
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/5/656/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/5/656/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guo, Shan & Jiang, Li & Shen, Geoffrey Q.P., 2019. "Embodied pasture land use change in China 2000-2015: From the perspective of globalization," Land Use Policy, Elsevier, vol. 82(C), pages 476-485.
    2. Wiedmann, Thomas, 2009. "A first empirical comparison of energy Footprints embodied in trade -- MRIO versus PLUM," Ecological Economics, Elsevier, vol. 68(7), pages 1975-1990, May.
    3. Tian, Xu & Bruckner, Martin & Geng, Yong & Bleischwitz, Raimund, 2019. "Trends and driving forces of China’s virtual land consumption and trade," Land Use Policy, Elsevier, vol. 89(C).
    4. Yawson, David O., 2021. "Estimating virtual land use under future conditions: Application of a food balance approach using the UK," Land Use Policy, Elsevier, vol. 101(C).
    5. Kan, Siyi & Chen, Bin & Han, Mengyao & Hayat, Tasawar & Alsulami, Hamed & Chen, Guoqian, 2021. "China’s forest land use change in the globalized world economy: Foreign trade and unequal household consumption," Land Use Policy, Elsevier, vol. 103(C).
    6. Qiang, Wenli & Niu, Shuwen & Liu, Aimin & Kastner, Thomas & Bie, Qiang & Wang, Xiang & Cheng, Shengkui, 2020. "Trends in global virtual land trade in relation to agricultural products," Land Use Policy, Elsevier, vol. 92(C).
    7. Guo, Shan & Wang, Yao & Shen, Geoffrey Q.P. & Zhang, Bo & Wang, Hao, 2020. "Virtual built-up land transfers embodied in China’s interregional trade," Land Use Policy, Elsevier, vol. 94(C).
    8. Liu, Xiaoxuan & Yu, Le & Cai, Wenjia & Ding, Qun & Hu, Weixun & Peng, Dailiang & Li, Wei & Zhou, Zheng & Huang, Xiaomeng & Yu, Chaoqing & Gong, Peng, 2021. "The land footprint of the global food trade: Perspectives from a case study of soybeans," Land Use Policy, Elsevier, vol. 111(C).
    9. Chuai, Xiaowei & Gao, Runyi & Huang, Xianjin & Lu, Qinli & Zhao, Rongqin, 2021. "The embodied flow of built-up land in China's interregional trade and its implications for regional carbon balance," Ecological Economics, Elsevier, vol. 184(C).
    10. 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).
    11. 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.
    12. 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.
    13. Moran, Daniel D. & Wackernagel, Mathis C. & Kitzes, Justin A. & Heumann, Benjamin W. & Phan, Doantam & Goldfinger, Steven H., 2009. "Trading spaces: Calculating embodied Ecological Footprints in international trade using a Product Land Use Matrix (PLUM)," Ecological Economics, Elsevier, vol. 68(7), pages 1938-1951, May.
    14. Liu, Hongguang & Liu, Weidong & Fan, Xiaomei & Zou, Wei, 2015. "Carbon emissions embodied in demand–supply chains in China," Energy Economics, Elsevier, vol. 50(C), pages 294-305.
    Full references (including those not matched with items on IDEAS)

    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. Cheng, Mengyao & Wu, Jialu & Li, Chaohui & Jia, Yuanxin & Xia, Xiaohua, 2023. "Tele-connection of global agricultural land network: Incorporating complex network approach with multi-regional input-output analysis," Land Use Policy, Elsevier, vol. 125(C).
    2. Wang, Pengfei & Li, Hongbo & Huang, Zhenbin, 2023. "The inter-provincial trade inequality in China: An assessment of the impact of changes in built-up land and carbon storage," Ecological Economics, Elsevier, vol. 206(C).
    3. Ji, Xi & Su, Pinyi & Liu, Yifang & Wu, Guowei & Wu, Xudong, 2023. "Mutual complementarity of arable land use in the Sino-Africa trade: Evidence from the global supply chain," Land Use Policy, Elsevier, vol. 128(C).
    4. Ji, Xi & Liu, Yifang & Wu, Guowei & Su, Pinyi & Ye, Zhen & Feng, Kuishuang, 2022. "Global value chain participation and trade-induced energy inequality," Energy Economics, Elsevier, vol. 112(C).
    5. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    6. Sato, Misato, 2014. "Product level embodied carbon flows in bilateral trade," Ecological Economics, Elsevier, vol. 105(C), pages 106-117.
    7. Franco-Solís, Alberto & Montanía, Claudia V., 2021. "Dynamics of deforestation worldwide: A structural decomposition analysis of agricultural land use in South America," Land Use Policy, Elsevier, vol. 109(C).
    8. 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.
    9. Chuai, Xiaowei & Gao, Runyi & Huang, Xianjin & Lu, Qinli & Zhao, Rongqin, 2021. "The embodied flow of built-up land in China's interregional trade and its implications for regional carbon balance," Ecological Economics, Elsevier, vol. 184(C).
    10. Sun, Yuanyuan & Mao, Xianqiang & Liu, Gengyuan & Yin, Xinan & Zhao, Yanwei, 2020. "Modelling the effects of energy taxes on ecological footprint transfers in China's foreign trade," Ecological Modelling, Elsevier, vol. 431(C).
    11. Chen, G. & Chen, B. & Zhou, H. & Dai, P., 2013. "Life cycle carbon emission flow analysis for electricity supply system: A case study of China," Energy Policy, Elsevier, vol. 61(C), pages 1276-1284.
    12. Gao, Runyi & Chuai, Xiaowei & Ge, Jingfeng & Wen, Jiqun & Zhao, Rongqin & Zuo, Tianhui, 2022. "An integrated tele-coupling analysis for requisition–compensation balance and its influence on carbon storage in China," Land Use Policy, Elsevier, vol. 116(C).
    13. Kan, Siyi & Chen, Bin & Chen, Guoqian, 2023. "Globalization of forest land use: Increasing threats on climate-vulnerable regions," Land Use Policy, Elsevier, vol. 132(C).
    14. Xingbo Yin, 2022. "The influence of urbanization on vegetation carbon pools under a tele-coupling framework in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 4046-4063, March.
    15. Xia, Quanzhi & Han, Mengyao & Guan, Shihui & Wu, Xiaofang & Zhang, Bo, 2022. "Tracking embodied energy flows of China's megacities via multi-scale supply chains," Energy, Elsevier, vol. 260(C).
    16. Zhaohua Li & Zhiyun Zhu & Shilei Xu, 2021. "Competition and Exploitation for Ecological Capital Embodied in International Trade: Evidence from China and Its Trade Partners," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
    17. Kissinger, Meidad & Rees, William E., 2009. "Footprints on the prairies: Degradation and sustainability of Canadian agricultural land in a globalizing world," Ecological Economics, Elsevier, vol. 68(8-9), pages 2309-2315, June.
    18. Kastner, Thomas & Kastner, Michael & Nonhebel, Sanderine, 2011. "Tracing distant environmental impacts of agricultural products from a consumer perspective," Ecological Economics, Elsevier, vol. 70(6), pages 1032-1040, April.
    19. He, Peijun & Ng, Tsan Sheng & Su, Bin, 2019. "Energy-economic resilience with multi-region input–output linear programming models," Energy Economics, Elsevier, vol. 84(C).
    20. 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.

    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:jlands:v:11:y:2022:i:5:p:656-:d:805080. 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.