Estimation of technical efficiency and output growth decomposition for small-scale rice farmers in Eastern India: A stochastic frontier analysis

Abstract

Purpose

The purpose of this paper is to estimate the degree of technical efficiency, determinants of technical inefficiencies and driving forces behind the production growth for a panel data set collected during the 1998/1999 and 2004/2006 Kharif cropping season, from 452 small-scale rice farming households in the Giridih and Purulia districts of Eastern India.

Design/methodology/approach

The estimations of technical efficiency utilize stochastic frontier production function with a sub-model of inefficiency effects at both aggregated farm level and disaggregated plot level where traditional varieties (TVs) and high-yielding varieties (HYVs) are differentiated. The output growth decomposition analysis identifies the main contributor to the total rice production growth.

Findings

The results indicate that the sampled farms are operated at moderate levels of technical efficiency. The production of HYV rice is associated with higher technical efficiency compared to TV rice. Farming experience, education attainment, landholding size, the share of non-agricultural income and the share of land in the lower terraces account for the differences in technical inefficiencies across the sampled farms. The decomposition analysis suggests that as technical efficiency decreased, technical change is the main source of production growth during the survey period.

Research limitations/implications

The small sample size applied in the analysis will result in an insufficient representativeness of the study area.

Originality/value

This paper fills the literature gap as estimations of technical efficiency that account for subtle differences in adopted rice varieties are still rare in India.

Citation

Wu, W. (2020), "Estimation of technical efficiency and output growth decomposition for small-scale rice farmers in Eastern India: A stochastic frontier analysis", Journal of Agribusiness in Developing and Emerging Economies, Vol. 10 No. 2, pp. 139-156. https://doi.org/10.1108/JADEE-05-2019-0072