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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

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...

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Autores principales: Baion, Yagbasuah Maada, Yunxia, Wang, Foday, Edward Hingha, Jianmin, Cao, Chuanfu, Liu, Agyeman, Opoku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365310/
https://www.ncbi.nlm.nih.gov/pubmed/37486900
http://dx.doi.org/10.1371/journal.pone.0284461
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author Baion, Yagbasuah Maada
Yunxia, Wang
Foday, Edward Hingha
Jianmin, Cao
Chuanfu, Liu
Agyeman, Opoku
author_facet Baion, Yagbasuah Maada
Yunxia, Wang
Foday, Edward Hingha
Jianmin, Cao
Chuanfu, Liu
Agyeman, Opoku
author_sort Baion, Yagbasuah Maada
collection PubMed
description 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).
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spelling pubmed-103653102023-07-25 Comparative performance of agricultural productivity in 44 SSA countries for a period of 59 years (1961–2019): A Malmquist productivity index approach Baion, Yagbasuah Maada Yunxia, Wang Foday, Edward Hingha Jianmin, Cao Chuanfu, Liu Agyeman, Opoku PLoS One Research Article 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). Public Library of Science 2023-07-24 /pmc/articles/PMC10365310/ /pubmed/37486900 http://dx.doi.org/10.1371/journal.pone.0284461 Text en © 2023 Baion et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Baion, Yagbasuah Maada
Yunxia, Wang
Foday, Edward Hingha
Jianmin, Cao
Chuanfu, Liu
Agyeman, Opoku
Comparative performance of agricultural productivity in 44 SSA countries for a period of 59 years (1961–2019): A Malmquist productivity index approach
title Comparative performance of agricultural productivity in 44 SSA countries for a period of 59 years (1961–2019): A Malmquist productivity index approach
title_full Comparative performance of agricultural productivity in 44 SSA countries for a period of 59 years (1961–2019): A Malmquist productivity index approach
title_fullStr Comparative performance of agricultural productivity in 44 SSA countries for a period of 59 years (1961–2019): A Malmquist productivity index approach
title_full_unstemmed Comparative performance of agricultural productivity in 44 SSA countries for a period of 59 years (1961–2019): A Malmquist productivity index approach
title_short Comparative performance of agricultural productivity in 44 SSA countries for a period of 59 years (1961–2019): A Malmquist productivity index approach
title_sort comparative performance of agricultural productivity in 44 ssa countries for a period of 59 years (1961–2019): a malmquist productivity index approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365310/
https://www.ncbi.nlm.nih.gov/pubmed/37486900
http://dx.doi.org/10.1371/journal.pone.0284461
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