Work

Dynamics of productivity and technical efficiency in Russian agriculture

Year: 2011

Type: article

Abstract: This paper analyses regional productivity and technical efficiency development in Russian agriculture. We formulate a regional stochastic frontier model by assuming that producers maximise return to the outlay. We control for regional heterogeneity and endogeneity/simultaneity in input decisions, technical efficiency and technical change by employing a two-step estimation procedure. In the first step, we use the system Generalized Method of Moments approach (system GMM), which gives consistent estimates of the production technology parameters. In the second step, we apply the standard stochastic frontier approach to estimate technical efficiency and its determinants. © Oxford University Press and Foundation for the European Review of Agricultural Economics 2011; all rights reserved. For permissions, please email journals.permissionsoup.com2011 © © Oxford University Press and Foundation for the European Review of Agricultural Economics 2011; all rights reserved. For permissions, please email journals.permissionsoup.com.

Source: European Review of Agricultural Economics

DOI: 10.1093/erae/jbr059

Authors: Raushan Bokusheva, Heinrich Hockmann, Subal C. Kumbhakar

Institutions: ETH Zurich, Leibniz Institute of Agricultural Development in Transition Economies, Binghamton University

Language: English

Topic: Efficiency Analysis Using DEA

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Zero hunger

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft