Efficiency in South African agriculture: a two-stage fuzzy approach

Abstract

Purpose

The purpose of this paper is to assess the efficiency of agricultural production in South Africa from 1970 to 2014, using an integrated two-stage fuzzy approach.

Design/methodology/approach

Fuzzy technique for order preference by similarity to ideal solution is used to assess the relative efficiency of agriculture in South Africa over the course of the years in the first stage. In the second stage, fuzzy regressions based on different rule-based systems are used to predict the impact of socio-economic and demographic variables on agricultural efficiency. They are compared with the bootstrapped truncated regressions with conditional α levels proposed in Wanke et al. (2016a).

Findings

The results show that the fuzzy efficiency estimates ranged from 0.40 to 0.68 implying inefficiency in South African agriculture. The results further reveal that research and development, land quality, health expenditure–population growth ratio have a significant, positive impact on efficiency levels, besides the GINI index. In terms of accuracy, fuzzy regressions outperformed the bootstrapped truncated regressions with conditional α levels proposed in Wanke et al. (2015).

Practical implications

Policies to increase social expenditure especially in terms of health and hence productivity should be prioritized. Also policies aimed at conserving the environment and hence the quality of land is needed.

Originality/value

The paper is original and has not been previously published elsewhere.

Citation

Aye, G.C., Gupta, R. and Wanke, P. (2018), "Efficiency in South African agriculture: a two-stage fuzzy approach", Benchmarking: An International Journal, Vol. 25 No. 8, pp. 2723-2759. https://doi.org/10.1108/BIJ-04-2017-0072