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Comparative performance of agricultural productivity in 44 SSA countries for a period of 59 years (1961-2019): A Malmquist productivity index approach.

Yagbasuah Maada BaionWang YunxiaEdward Hingha FodayCao JianminLiu ChuanfuOpoku Agyeman
Published in: PloS one (2023)
We investigate the extent and nature of productivity growth in Sub-Saharan African countries using non-parametric frontier techniques. In this work, we examine agricultural total factor productivity (TFP) change in 44 countries in Sub-Saharan Africa (SSA), covering a period of fifty-nine (59) years (1961-2019). We make use of data drawn from the Food and Agriculture Organization of the United Nations. Due to the non-availability of reliable input price data, the study uses data envelopment analysis (DEA) to derive Malmquist productivity indices. The results demonstrate a decline in agricultural TFP growth in the region from 1961 to 2019. This notwithstanding, a general average growth was seen in some of the conventional inputs measured (land, labour, capital, and fertilizer) which are the main drivers of growth in the region. This finding implies that the increase in agricultural output over the past five decades in SSA is mainly due to an increased use of conventional inputs over time, including land, and not due to an increase in the ratio of output over inputs. As a generally acceptable and preferred indicator of technical and efficiency changes, we use TFP to calculate the Malmquist productivity index (MPI).
Keyphrases
  • climate change
  • human health
  • electronic health record
  • big data
  • risk assessment
  • heavy metals
  • machine learning