IDEAS home Printed from https://ideas.repec.org/a/far/spaeco/y2021i3p59-102.html
   My bibliography  Save this article

Study of Farmer’s Behavior in Recultivation of Abandoned Farmland: Example of the Republic of Buryatia

Author

Listed:
  • Alexander Vladimirovich Prishchepov

    (University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN)
    Institute of Steppe UB RAS)

  • Elena Vladimirovna Ponkina

    (Altai State University, Department of Theoretical Cybernetics and Applied Mathematics, Institute of Mathematics and Information Technologies)

  • Zhanli Sun

    (Leibniz Institute of Agricultural Development in Transition Economies (IAMO))

  • Miroslava Bavorova

    (Czech University of Life Sciences Prague, Faculty of Tropical AgriSciences)

  • Olga Afanasyevna Yekimovskaja

    (Baikal Institute of Natural Management)

Abstract

Despite the looming land scarcity suited for agricultural expansion, farmland abandonment is widespread globally. The recultivation of some abandoned farmlands could unlock the untapped agricultural potential. Yet, little is known about the determinants of recultivation. To better understand the behavioral intentions of farmers regarding the recultivation of abandoned lands, we concentrated on the Buryat Republic in Russia, where agricultural land abandonment is widespread and farmers with different ethnicities carry out diverse agricultural practices. We conducted 149 face-to-face interviews with the farmers in the Buryat Republic in 2018 and filled a structured questionnaire on farm’s and farmers’ socioeconomic characteristics, perceived corruption, and farmers’ behavioral intentions regarding expected land use. We modeled the intention of recultivation with the Bayesian networks. The Bayesian networks analysis showed that perceived corruption was considered to be a barrier to recultivation. Our study also showed that non-Buryat ethnic and young farmers are more likely to recultivate abandoned land. Abandoned farmlands without or with a low degree of afforestation were preferred for recultivation. In sum, our study showed how behavioral aspects of political trust, the farm’s and farmer’s characteristics, in combination with regional and locational characteristics, may shape farmers’ decisions on land use. The results provide an important ground to assess regional land-use policies, which should foster the recultivation of abandoned lands while preserving ecosystem services in the global hotspots of farmland abandonment, such as Russia

Suggested Citation

  • Alexander Vladimirovich Prishchepov & Elena Vladimirovna Ponkina & Zhanli Sun & Miroslava Bavorova & Olga Afanasyevna Yekimovskaja, 2021. "Study of Farmer’s Behavior in Recultivation of Abandoned Farmland: Example of the Republic of Buryatia," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 3, pages 59-102.
  • Handle: RePEc:far:spaeco:y:2021:i:3:p:59-102
    DOI: https://dx.doi.org/10.14530/se.2021.3.059-102
    as

    Download full text from publisher

    File URL: http://www.spatial-economics.com/images/spatial-econimics/2021_3/SE.2021.3.059-102.Prishchepov.pdf
    Download Restriction: no

    File URL: http://spatial-economics.com/eng/arkhiv-nomerov/2021/113-2021-3/1012-SE-2021-3-59-102
    Download Restriction: no

    File URL: https://libkey.io/https://dx.doi.org/10.14530/se.2021.3.059-102?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
    ---><---

    More about this item

    Keywords

    Abandoned agricultural land; Behavioral drivers; Bayesian networks; Land-use change; Land-use modeling; Theory of land use;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

    Statistics

    Access and download statistics

    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:far:spaeco:y:2021:i:3:p:59-102. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sergey Rogov (email available below). General contact details of provider: https://edirc.repec.org/data/ecrinru.html .

    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.