Prices and Productivity in Agriculture

Fulginiti, Lilyan E.; Perrin, Richard K.

doi:10.2307/2109461

Cited by 121 publications

(71 citation statements)

References 6 publications

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“…In Latin America and the Caribbean, most of the analysis of total factor productivity (TFP) growth in agriculture in the last 20 years has been in the context of worldwide multicountry studies (Fulginiti and Perrin, 1993, 1998Arnade, 1998;Trueblood and Coggins, 2003;Coelli and Rao, 2005;Weibe et al, 2000;BravoOrtega and Lederman, 2004;and Ludena et al, 2007). These studies offer a broad view of agricultural productivity growth and present results for certain Latin American countries.…”

Section: Introductionmentioning

confidence: 99%

Agricultural Productivity Growth, Efficiency Change and Technical Progress in Latin America and the Caribbean

Ludeña¹

2010

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This paper analyzes total factor productivity growth in agriculture in Latin America and the Caribbean between 1961 and 2007 employing the Malmquist Index, a non-parametric methodology that uses data envelopment analysis (DEA) methods. The results show that among developing regions, Latin America and the Caribbean shows the highest agricultural productivity growth. The highest growth within the region has occurred in the last two decades, especially due to improvements in efficiency and the introduction of new technologies. Within the region, land-abundant countries consistently outperform land-constrained countries. Within agriculture, crops and non-ruminant sectors have displayed the strongest growth between 1961 and 2001, and ruminant production performed the worst. Additional analysis of the cases of Brazil and Cuba illustrates potential effects of policies and external shocks on agricultural productivity; policies that do not discriminate against agricultural sectors and that remove price and production distortions may help improve productivity growth. Terms of use: Documents inJEL Classification: O13, O47, O54 Keywords: Total factor productivity, Agriculture, Crops, Livestock, Latin America and the Caribbean, Malmquist Index 1 The author would like to thank Carmen Fernandes for her invaluable help in constructing the data on fertilizers and livestock, and the comments of an anonymous reviewer.

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Section: Introductionmentioning

confidence: 99%

Agricultural Productivity Growth, Efficiency Change and Technical Progress in Latin America and the Caribbean

Ludeña¹

2010

SSRN Journal

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“…The same result was found in India by Sen (1962), Bardhan (1973), and Rosenzweig and Binswanger (1993); and in Brazil, Pakistan, and Malaysia by Berry and Cline (1979). This inverse relationship is intriguing as there is a large body of literature that estimates constant returns to scale for agricultural production in different countries (e.g., Hayami and Ruttan 1970;Bardhan 1973;Berry and Cline 1979;Fulginiti and Perrin 1993). Moreover, in the absence of market failures, farmers would voluntarily subdivide their lands in order to increase productivity thereby eliminating the inverse relationship.…”

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confidence: 99%

Testing Household‐Specific Explanations for the Inverse Productivity Relationship

Assunção

Braido

2007

American J Agri Economics

118

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The inverse relationship between land productivity and farm size is an old and puzzling empirical regularity. Most explanations for this relationship rely on market imperfections that jointly determine the farm size and the household's shadow price of some productive inputs. We use plot-level data from the ICRISAT/VLS to assess whether these household-specific theories can explain the puzzle. The data exhibit plots of different sizes being simultaneously cropped by the same household. The inverse relationship is shown to hold true with the same magnitude across the plots of each household, thus cross-household heterogeneity does not suffice to explain the puzzle.

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“…(2002). Fulginiti and Perrin (1993) used a combined time-series/cross-section sample of agricultural production and price data from 18 countries to estimate a variable coefficient CobbDouglas meta-production function. They posited that the coefficients are functions of the output price and a few input prices, and other pertinent technology changing variables, using five-year moving averages for the prices.…”

Section: Literature Reviewmentioning

confidence: 99%

An Atemporal Microeconomic Theory and an Empirical Test of Price-Induced Technical Progress

Caputo

Paris

2005

J Prod Anal

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Prices and Productivity in Agriculture

Cited by 121 publications

References 6 publications

Agricultural Productivity Growth, Efficiency Change and Technical Progress in Latin America and the Caribbean

Agricultural Productivity Growth, Efficiency Change and Technical Progress in Latin America and the Caribbean

Testing Household‐Specific Explanations for the Inverse Productivity Relationship

An Atemporal Microeconomic Theory and an Empirical Test of Price-Induced Technical Progress

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