Explaining agricultural productivity growth: An international perspective

This article presents multi‐output, multi‐input total factor productivity (TFP) growth rates in agriculture for 88 countries over the 1970–2001 period, estimated with both stochastic frontier analysis (SFA) and the more commonly employed data envelopment analysis (DEA). We find results with SFA to b...

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Main Authors: Headey, Derek D., Alauddin, Mohammad, Rao, D. S. Prasada
Format: Journal Article
Language:Inglés
Published: Wiley 2010
Subjects:
Online Access:https://hdl.handle.net/10568/154367
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author Headey, Derek D.
Alauddin, Mohammad
Rao, D. S. Prasada
author_browse Alauddin, Mohammad
Headey, Derek D.
Rao, D. S. Prasada
author_facet Headey, Derek D.
Alauddin, Mohammad
Rao, D. S. Prasada
author_sort Headey, Derek D.
collection Repository of Agricultural Research Outputs (CGSpace)
description This article presents multi‐output, multi‐input total factor productivity (TFP) growth rates in agriculture for 88 countries over the 1970–2001 period, estimated with both stochastic frontier analysis (SFA) and the more commonly employed data envelopment analysis (DEA). We find results with SFA to be more plausible than with DEA, and use them to analyze trends across countries and the determinants of TFP growth in developing countries. The central finding is that policy and institutional variables, including public agricultural expenditure and proagricultural price policy reforms, are significant correlates of TFP growth. The most significant geographic correlate of TFP growth is distance to the nearest OECD country.
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spelling CGSpace1543672024-11-15T08:52:40Z Explaining agricultural productivity growth: An international perspective Headey, Derek D. Alauddin, Mohammad Rao, D. S. Prasada labour productivity productivity This article presents multi‐output, multi‐input total factor productivity (TFP) growth rates in agriculture for 88 countries over the 1970–2001 period, estimated with both stochastic frontier analysis (SFA) and the more commonly employed data envelopment analysis (DEA). We find results with SFA to be more plausible than with DEA, and use them to analyze trends across countries and the determinants of TFP growth in developing countries. The central finding is that policy and institutional variables, including public agricultural expenditure and proagricultural price policy reforms, are significant correlates of TFP growth. The most significant geographic correlate of TFP growth is distance to the nearest OECD country. 2010-01 2024-10-01T14:01:06Z 2024-10-01T14:01:06Z Journal Article https://hdl.handle.net/10568/154367 en Limited Access Wiley Headey, Derek D.; Alauddin, Mohammad; Rao, D. S. Prasada. 2010. Explaining agricultural productivity growth: An international perspective. Agricultural Economics 41(1): 1-14. https://doi.org/10.1111/j.1574-0862.2009.00420.x
spellingShingle labour productivity
productivity
Headey, Derek D.
Alauddin, Mohammad
Rao, D. S. Prasada
Explaining agricultural productivity growth: An international perspective
title Explaining agricultural productivity growth: An international perspective
title_full Explaining agricultural productivity growth: An international perspective
title_fullStr Explaining agricultural productivity growth: An international perspective
title_full_unstemmed Explaining agricultural productivity growth: An international perspective
title_short Explaining agricultural productivity growth: An international perspective
title_sort explaining agricultural productivity growth an international perspective
topic labour productivity
productivity
url https://hdl.handle.net/10568/154367
work_keys_str_mv AT headeyderekd explainingagriculturalproductivitygrowthaninternationalperspective
AT alauddinmohammad explainingagriculturalproductivitygrowthaninternationalperspective
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