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2009•AgEcon Search (University of Minnesota, USA)Open access

Effect of infrastructure investments on total factor productivity (TFP) in Brazilian agriculture

Sérgio Magno Mendes, Erly Cardoso Teixeira, Márcio Antônio Salvato, Mendes, Sergio Magno, Teixeira, Erly Cardoso, Salvato, Marcio Antonio

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Abstract

Since the 1980s, the investments in infrastructure have been significantly reduced, jeopardizing Total Factor Productivity (TFP) and competitiveness of Brazilian agriculture. The Solow growth model with panel data is used to estimate TFP. An adaptation of the Zhang and Fan (2004) model for India, using the Generalized Method of Moments (GMM), is applied to study the effects of infrastructure investments on TFP. The lack of such investments in Brazil caused the effects to be larger and with lag periods smaller than in other countries. These investments affect TFP in the first years, and the study suggests that the return occurs in the period from zero to two years. Among the analyzed infrastructure elements, investments in roads have the greatest impact on TFP, followed by research, telecommunications, irrigation and electricity.

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Since the 1980s, the investments in infrastructure have been significantly reduced, jeopardizing Total Factor Productivity (TFP) and competitiveness of Brazilian agriculture. The Solow growth model with panel data is used to estimate TFP. An adaptation of the Zhang and Fan (2004) model for India, using the Generalized Method of Moments (GMM), is applied to study the effects of infrastructure investments on TFP. The lack of such investments in Brazil caused the effects to be larger and with lag periods smaller than in other countries. These investments affect TFP in the first years, and the study suggests that the return occurs in the period from zero to two years. Among the analyzed infrastructure elements, investments in roads have the greatest impact on TFP, followed by research, telecommunications, irrigation and electricity.

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Available abstract

Since the 1980s, the investments in infrastructure have been significantly reduced, jeopardizing Total Factor Productivity (TFP) and competitiveness of Brazilian agriculture. The Solow growth model with panel data is used to estimate TFP. An adaptation of the Zhang and Fan (2004) model for India, using the Generalized Method of Moments (GMM), is applied to study the effects of infrastructure investments on TFP. The lack of such investments in Brazil caused the effects to be larger and with lag periods smaller than in other countries. These investments affect TFP in the first years, and the study suggests that the return occurs in the period from zero to two years. Among the analyzed infrastructure elements, investments in roads have the greatest impact on TFP, followed by research, telecommunications, irrigation and electricity.

Key concepts: Total factor productivity, Economics, Agriculture, Productivity, Panel data, Agricultural economics, Agricultural productivity, Econometrics

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