Revealing the intentions of farmers to recultivate abandoned farmland: A case study of the Buryat Republic in Russia. (August 2021)
- Record Type:
- Journal Article
- Title:
- Revealing the intentions of farmers to recultivate abandoned farmland: A case study of the Buryat Republic in Russia. (August 2021)
- Main Title:
- Revealing the intentions of farmers to recultivate abandoned farmland: A case study of the Buryat Republic in Russia
- Authors:
- Prishchepov, Alexander V.
Ponkina, Elena V.
Sun, Zhanli
Bavorova, Miroslava
Yekimovskaja, Olga A. - Abstract:
- 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 regionalAbstract: 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. Graphical Abstract: ga1 Highlights: Perceived corruption was a strong barrier to recultivate abandoned farmland. The intention to recultivate abandoned farmland was tightly linked with grain production. Younger farmers were more prone to recultivate abandoned farmland. non-Buryat ethnic farmers had higher willingness to recultivate abandoned farmland. … (more)
- Is Part Of:
- Land use policy. Volume 107(2021)
- Journal:
- Land use policy
- Issue:
- Volume 107(2021)
- Issue Display:
- Volume 107, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 107
- Issue:
- 2021
- Issue Sort Value:
- 2021-0107-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-08
- Subjects:
- Abandoned agricultural land -- Behavioral drivers -- Bayesian networks -- Land-use change -- Land-use modeling -- Theory of land use
Land use -- Periodicals
Land use -- Government policy -- Periodicals
Sol, Utilisation du -- Périodiques
Sol, Utilisation du -- Politique gouvernementale -- Périodiques
Electronic journals
333.7305 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02648377 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.landusepol.2021.105513 ↗
- Languages:
- English
- ISSNs:
- 0264-8377
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 5146.958700
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