Approaches to analysing labour productivity in agriculture and food systems

John M. Ulimwengu, Sunday P. Odjo and Lea Magne-Domgho

Chapter 21 in Handbook on Public Policy and Food Security, 2024, pp 214-222 from Edward Elgar Publishing

Abstract: A review of existing studies reveals various methods for analysing labour productivity in agriculture and food systems. We classified them into two broad groups: parametric and non-parametric approaches. The fundamental difference between the two approaches is that the first relies on specific functional forms. In contrast, the second is not constrained by the restrictions of using a particular functional form. The parametric approach estimates the parameters of a specified production, cost, revenue, or profit function, including a measure of productivity growth. This chapter includes data envelopment analysis (DEA) as a non-parametric method and parametric methods such as stochastic frontier analysis (SFA), growth accounting, state variables and convergence model. A brief theoretical presentation is given for each method, along with empirical findings.

Keywords: Development Studies; Economics and Finance; Environment; Geography; Politics and Public Policy Sociology and Social Policy; Sustainable Development Goals (search for similar items in EconPapers)
Date: 2024
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