Artikel

Agricultural policies and technical efficiency of wheat production in Kazakhstan and Russia: Evidence from a stochastic frontier approach

We utilize a unique primary data set of farms in Russia and Kazakhstan to investigate the link between policy reforms and technical efficiency. These countries have heavily subsidized their domestic agricultural production over the last decade, with a total of around USD 76 billion USD and USD 11.5 billion USD in government funding directed towards the agricultural sectors in Russia and Kazakhstan, respectively. Results of a stochastic frontier analysis make evident that variable inputs, such as fertilizer, have a relatively large influence on wheat production compared to land. Nearly every fifth farm has a technical efficiency level lower than 60%, suggesting significant unrealized production potential. While our analysis shows a negative relation between subsidies and efficiency, other factors, such as farmer’s education, cooperative and agroholding membership, and participation in insurance programs, are positively related to farm efficiency. The results imply that the governments and policymakers could mobilize the unutilized wheat production potential by improving the farmer education system, fostering cooperation among farms, and developing functioning farm insurance schemes.

Sprache
Englisch

Erschienen in
Journal: Journal of Agricultural and Applied Economics ; ISSN: 2056-7405 ; Volume: 54 ; Year: 2022 ; Issue: 3 ; Pages: 407-421 ; Cambridge: Cambridge University Press

Klassifikation
Wirtschaft
Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
Agricultural Finance
Agricultural Policy; Food Policy
Thema
food security
KRU countries
stochastic frontier analysis
subsidies
technical efficiency

Ereignis
Geistige Schöpfung
(wer)
Tleubayev, Alisher
Bobojonov, Ihtiyor
Götz, Linde
Ereignis
Veröffentlichung
(wer)
Cambridge University Press
(wo)
Cambridge
(wann)
2022

DOI
doi:10.1017/aae.2022.13
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Tleubayev, Alisher
  • Bobojonov, Ihtiyor
  • Götz, Linde
  • Cambridge University Press

Entstanden

  • 2022

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