Revealing the intentions of farmers to recultivate abandoned farmland: A case study of the Buryat Republic in Russia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41340%2F21%3A89325" target="_blank" >RIV/60460709:41340/21:89325 - isvavai.cz</a>
Result on the web
<a href="https://reader.elsevier.com/reader/sd/pii/S0264837721002362?token=08F6320D28F3ECAB440BA87254041C5424018282E1DDC0CDBA9F22A03BB2C02018715E15E7DFFC987C2E1C23FC69F3A6&originRegion=eu-west-1&originCreation=20220119132252" target="_blank" >https://reader.elsevier.com/reader/sd/pii/S0264837721002362?token=08F6320D28F3ECAB440BA87254041C5424018282E1DDC0CDBA9F22A03BB2C02018715E15E7DFFC987C2E1C23FC69F3A6&originRegion=eu-west-1&originCreation=20220119132252</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.landusepol.2021.105513" target="_blank" >10.1016/j.landusepol.2021.105513</a>
Alternative languages
Result language
angličtina
Original language name
Revealing the intentions of farmers to recultivate abandoned farmland: A case study of the Buryat Republic in Russia
Original language description
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 farms 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
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40500 - Other agricultural sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Land Use Policy
ISSN
0264-8377
e-ISSN
1873-5754
Volume of the periodical
107
Issue of the periodical within the volume
N
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
1-14
UT code for WoS article
000663381300011
EID of the result in the Scopus database
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