Determinants of productivity and efficiency of wheat production in Kazakhstan: A stochastic frontier approach

Arbeitspapier

Agriculture plays an important role for Kazakhstan not only because of rural employment, but also because of the diversity it brings to its oil dependent economy. A considerable increase in grain exports was achieved during the recent years, however, there still is a large room for increasing productivity and efficiency to boost the agricultural potential of the country further. The government of Kazakhstan has introduced several policy packages in the past to boost productivity and efficiency, however, the impact of these reforms has not been yet analyzed quantitatively. Micro level data collected from 200 farms in northern Kazakhstan in 2015 is used in the analysis, in order to fill this research gap. A mixture of evidences is found in terms of policy effect on productivity and efficiency. The results of the analysis showed that direct subsidy access reduced the efficiency, while access to supply chain infrastructure had the opposite effect and increased the efficiency. Therefore, the study concludes that the government should divert its policy support from direct subsidy payments to the improvement of agricultural infrastructure. This will influence positively not only productivity and efficiency, but also Kazakhstan's commitments towards international and regional trade agreements.

Object Details

• Alternative title: Determinanten von Produktivität und Effizienz der Weizenproduktion in Kasachstan: Ein Stochastic-Frontier-Ansatz
• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Discussion Paper ; No. 160

Classification and Topics

• Classification: Wirtschaft ; Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets ; Agricultural Finance ; Agricultural Policy; Food Policy ; Environmental Economics: Government Policy ; Cooperative Enterprises
• Subject: productivity ; stochastic frontier approach ; wheat production ; technical efficiency ; Produktivität ; Stochastic-Frontier-Ansatz ; Getreideproduktion ; technische Effizienz

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Tleubayev, Alisher ; Bobojonov, Ihtiyor ; Götz, Linde ; Hockmann, Heinrich ; Glauben, Thomas
• Event: Veröffentlichung
• (who): Leibniz Institute of Agricultural Development in Transition Economies (IAMO)
• (where): Halle (Saale)
• (when): 2017

Further information

• Handle: http://hdl.handle.net/10419/155329
• URN: urn:nbn:de:gbv:3:2-69105
• Last update: 10.03.2025, 11:44 AM CET