Eficiência Produtiva Regional da Agricultura Brasileira: uma análise de fronteira estocástica

Scherer, Clauber Eduardo Marchezan; Porsse, Alexandre Alves

doi:10.1590/1234-56781806-94790550210

Cited by 5 publications

(4 citation statements)

References 8 publications

(4 reference statements)

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“…The authors also concluded that as the spatial dependence increases, the average efficiency also increases. Specifically in Brazil, Scherer & Porsse (2017) aimed to analyze the productive efficiency of agriculture at the micro-regional level separately for permanent and temporary crops using the 2006 Census. The authors concluded that there are high-efficiency clusters for the permanent crops in the regions Northeast and South.…”

Section: Technical Efficiency Of the Rural Establishmentsmentioning

confidence: 99%

Regional Heterogeneity of the Family Farming in Brazil: an Analysis Using a Spatial Stochastic Frontier

Dias

Costa

Lima

et al. 2021

JAS

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Family farming is quite different between Brazilian regions, where one of the main factors of this distinction is the implementation of agricultural modernization that initially benefited the regions South and Southeast, making these regions more mechanized and with a higher level of human capital. Given this fact, this article aims to measure the productive differences of family farmers between Brazilian regions using data from the 2017 Agricultural Census and applying a spatial stochastic frontier at municipal level. The results have shown that there is a high heterogeneity between Brazilian regions, where although all areas have shown a decreasing return of production scale, these returns were greater for the regions Midwest, Southeast, and South. Besides, technology and labor have a lesser effect on the gross income of farmers in the Northeast. The results also show that spillovers were different between regions, both for the factors of production and for the determinants of inefficiency. Furthermore, the heterogeneity can be confirmed by the efficiency scores, which were higher in the regions South, Midwest, and Mid-South regions of the Southeast. The results also suggest that, according to the profile of each region, it is necessary to implement more efficient policies that aim to improve the effectiveness of existing policies and mitigate the differences between them, especially in the North and Northeast of Brazil.

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Section: Technical Efficiency Of the Rural Establishmentsmentioning

confidence: 99%

Regional Heterogeneity of the Family Farming in Brazil: an Analysis Using a Spatial Stochastic Frontier

Dias

Costa

Lima

et al. 2021

JAS

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“…As variáveis selecionadas para explicar a ineficiência técnica foram o montante de crédito agrícola e o consumo de energia no setor agropecuário. O acesso ao crédito, segundo Scherer & Porsse (2017), está associado, tanto direta como indiretamente, à ampliação do sistema produtivo na agricultura. O crédito viabiliza, de forma direta, a aquisição de novos insumos, enquanto, indiretamente, permite flexibilizar o uso dos fatores e alcançar a escala eficiente de produção.…”

Section: Modelo Econométricounclassified

Eficiência técnica da produção agrícola dos países da América Latina e do Caribe

Ribeiro-Reis

Araújo

Araujo

et al. 2020

Rev. Econ. Sociol. Rural

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Resumo: Este artigo estuda a eficiência técnica e a produtividade total dos fatores (PTF) da agricultura dos países da América Latina e do Caribe. Para tanto, utilizaram-se a abordagem de fronteira estocástica de produção e o índice de produtividade de Malmquist. Os dados de valor da produção e a quantidade de insumos agrícolas abrangeram os anos de 1991 a 2012. Os resultados mostraram que todos os países apresentaram ineficiência técnica de produção agrícola ao longo do período. As variáveis que explicaram significativamente a ineficiência da produção agrícola foram o crédito e o consumo de energia na agricultura, o que representou uma inovação nessa temática. O índice de produtividade de Malmquist mostrou que não houve ganhos de produtividade total dos fatores.

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“…Thus, according to Scherer and Porsse ( 2017 ), the identification of relevant characteristics in the agricultural development process is essential, together with strategy formulation to increase the productivity of the sector, which eventually leads to the optimization of the factors of production, helping economic development.…”

Section: Introductionmentioning

confidence: 99%

Environmental, field and impurity factors to increase the agricultural performance of Brazilian and Australian sugarcane mills

Carlucci

Lemos

Salgado

et al. 2021

Clean Techn Environ Policy

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Graphic abstract This study aims to identify explanatory factors to increase the agricultural performance of Brazilian and Australian sugarcane mills. The relevance of Brazil and Australia for the sugar industry motivated the development this study based on the most important factors in both countries responsible for increasing the efficiency in sugarcane production. Thus, this study is designed to assess the hypothesis that there are a few explanatory variables that are deeply responsible for the agricultural efficiency in the sugar-energy sector. As a specific objective, it proposes a DEA (Data Envelopment Analysis) model that seeks to optimize the production of Total Recoverable Sugar (TRS) by planted area, and simultaneously, minimizes mineral and vegetable impurities. The sample consists of 82 observations from 32 sugarcane mills. An agricultural efficiency study was performed using the two-stage DEA, in which the evaluated mills according to the level of efficiency in the proposed model. Then, a Multiple Linear Regression Analysis was performed to identify the variables with the greatest influence on the performance of the mills in terms of efficiency. The results revealed six relevant variables for increasing the agricultural performance in the production of sugarcane: rainfall (mm weekly), chopped cane delivery (%), delivery time (h), borer (%), air humidity (%), and rods in raw wine (× 10 5 /mL). Finally, semi-structured interviews with Brazilian and Australian experts in the sugar-energy sector allowed the identification of five other relevant complementary factors that were unavailable in the database: genetic variety, agricultural cultivation activities, edaphoclimatic factors, renewal of sugarcane fields and irrigation system. The results of this study were grouped into the dimensions of environment, yield, and impurities, providing quantification and better understanding of the identified explanatory factors and the agricultural performance in terms of production efficiency, offering fundamental information that enables managers to make decisions and prioritize the aspects that contribute more significantly to the increase in agricultural productivity of the planted area.

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Eficiência Produtiva Regional da Agricultura Brasileira: uma análise de fronteira estocástica

Cited by 5 publications

References 8 publications

Regional Heterogeneity of the Family Farming in Brazil: an Analysis Using a Spatial Stochastic Frontier

Regional Heterogeneity of the Family Farming in Brazil: an Analysis Using a Spatial Stochastic Frontier

Eficiência técnica da produção agrícola dos países da América Latina e do Caribe

Environmental, field and impurity factors to increase the agricultural performance of Brazilian and Australian sugarcane mills

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