IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i16p10102-d888624.html
   My bibliography  Save this article

Pattern of Grain Production Potential and Development Potential in China–Mongolia–Russia Economic Corridor

Author

Listed:
  • Xiaoyan Bu

    (School of Geography and Planning, Ningxia University, Yinchuan 750021, China)

  • Ge Shi

    (School of Geography and Planning, Ningxia University, Yinchuan 750021, China)

  • Suocheng Dong

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

The China–Mongolia–Russia Economic Corridor (CMREC) region is part of the Silk Road Economic Belt and is critical to world food grain safety, and thus, developing its potential grain production will help counter any global food crisis. In this study, a grain production potential measurement system for the CMREC was designed and developed using spatial data to progressively correct environmental factor functions. The potential yield per unit area and potential area of four grain crops in 48 provinces were scientifically and systematically evaluated, and the grain production potential, development potential, and development potential range were calculated. The results show that the grain production potential and development potential of the corridor are significant. The yield of wheat and maize is mainly distributed in Siberia and the south of the Russian Far East. The development potential of soybean is very large and is mainly concentrated in the Russian Far East and northeast region of Mongolia. However, there is little room for paddy yield improvement, and its potential is mainly concentrated in northeast China. The grain production potential forms a high-value region with a low value from north to south, high value in the middle, extending from northwest to southeast. Grain and cereals in the whole region amounted to 8.45 × 10 8 t (4.25 × 10 8 t in Russia, 4.03 × 10 8 t in China, and 0.12 × 10 8 t in Mongolia). In terms of grain type, maize has the highest productivity potential with 1.96 × 10 8 t, followed by wheat at 1.45 × 10 8 t. The potential for paddy is 0.58 × 10 4 t, whereas soybean has the lowest potential of 0.40 × 10 8 t. The results of this study provide evidential support in the form of data for the development of the complementary advantages of agricultural resources, construction of the CMREC, and joint development of a food resource free trade zone. The CMREC will strengthen the development of modern, green, high-yield, high-quality, and efficient grain production zones for soybean and maize, and promote the diversification of grain resource cooperation.

Suggested Citation

  • Xiaoyan Bu & Ge Shi & Suocheng Dong, 2022. "Pattern of Grain Production Potential and Development Potential in China–Mongolia–Russia Economic Corridor," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10102-:d:888624
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/16/10102/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/16/10102/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. T. G. Nefedova, 2016. "Russian agricultural resources and the geography of their use in import-substitution conditions," Regional Research of Russia, Springer, vol. 6(4), pages 292-303, October.
    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. T. G. Nefedova, 2017. "Twenty-five years of Russia’s post-Soviet agriculture: Geographical trends and contradictions," Regional Research of Russia, Springer, vol. 7(4), pages 311-321, October.
    2. Prishchepov, Alexander & Ponkina, Elena & Sun, Zhanli & Müller, Daniel, 2019. "Выявление Детерминант Урожайности Пшеницы В Западной Сибири С Использованием Байесовских Сетей [Revealing the Determinants of Wheat Yields in the Siberian Breadbasket of Russia with Bayesian Networ," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15(1), pages 39-83.
    3. K. A. Morachevskaya & E. A. Lyzhina, 2021. "Are the Food Embargo and Import Substitution Changing Regional Production? A Case Study of Leningrad Oblast," Regional Research of Russia, Springer, vol. 11(4), pages 502-512, October.
    4. Alexander V. Prishchepov & Elena V. Ponkina & Zhanli Sun & Daniel Muller, 2019. "Revealing the Determinants of Wheat Yields in the Siberian Breadbasket of Russia with Bayesian Networks," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 1, pages 39-83.
    5. Oleg V. Zakharchenko & Olena O. Alieksieichuk & Alena V. Kliuchnyk & Alena V. Kliuchnyk & Nataliya Yu. Shyriaieva & Іrina V. Kudlai, 2020. "State support of agricultural producers as a factor in increasing the competitiveness of the agricultural sector," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 687-704, 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:jsusta:v:14:y:2022:i:16:p:10102-:d:888624. 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.