A Stochastic Production Frontier Analysis of the Brazilian Agriculture in the Presence of an Endogenous Covariate

Souza, Geraldo da Silva e; Gomes, Eliane Gonçalves

doi:10.1007/978-3-030-16035-7_1

Cited by 3 publications

(2 citation statements)

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“…At first, this may be somewhat difficult to understand, considering that most of the sets analyzed often have variable scale behavior, especially in the private sector when analyzing industry [39]. However, from the results, Brazilian agriculture shows different and constant behavior, which confirms an issue related to the fact that inequality in agriculture does not occur by the size of the properties but by the technological availability of them [40].…”

Section: Scale Return Testmentioning

confidence: 92%

Bootstrap Method of Eco-Efficiency in the Brazilian Agricultural Industry

Marques Serrano,

Saiki,

Rosano-Penã

et al. 2024

Systems

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With the economic growth of the Brazilian agroindustry, it is necessary to evaluate the efficiency of this activity in relation to environmental demands for the country’s economic, social, and sustainable development. Within this perspective, the present research aims to examine the eco-efficiency of agricultural production in Brazilian regions, covering 5563 municipalities in the north, northeast, center-west, southeast, and south regions, using data from 2016–2017. In this sense, this study uses the DEA methods (classical and stochastic) and the computational bootstrap method to remove outliers and measure eco-efficiency. The findings lead to two fundamental conclusions: first, by emulating the benchmarks, it is feasible to increase annual revenue and preserved areas to an aggregated regional level by 20.84% while maintaining the same inputs. Given that no municipality has reached an eco-efficiency value equal to 1, there is room for optimization and improvement of production and greater sustainable development of the municipalities. Secondly, climatic factors notably influence eco-efficiency scores, suggesting that increasing temperatures and decreasing precipitation can positively impact eco-efficiency in the region. These conclusions, dependent on regional characteristics, offer valuable information for policymakers to design strategies that balance economic growth and environmental preservation. Furthermore, adaptive policies and measures can be implemented to increase the resilience of local producers and reduce vulnerability to changing climate conditions.

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Section: Scale Return Testmentioning

confidence: 92%

Bootstrap Method of Eco-Efficiency in the Brazilian Agricultural Industry

Marques Serrano,

Saiki,

Rosano-Penã

et al. 2024

Systems

View full text Add to dashboard Cite

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“…As elasticidades relativas, como em 2006, são dominadas pela tecnologia (53,3% ± 1,9%), seguida pela mão de obra (41,0% ± 1,5%) e pela terra (5,7% ± 1,0%). Em relação aos dados de 2006 (Souza e Gomes, 2019), a tecnologia permaneceu aproximadamente constante (58,7% ± 2,2%), a mão de obra aumentou (29,7% ± 1,6%) e a terra diminuiu acentuadamente (11,6% ± 1,8%). Isso mostra a agricultura brasileira menos intensiva em terras, mantendo constante o já elevado nível de tecnologia e migrando para uma força de trabalho mais qualificada.…”

Section: Estimação Da Fronteira Estocásticaunclassified

Uma visão da produção da agricultura brasileira com base em dados recentes do censo agropecuário

da Silva e Souza,

Gonçalves Gomes,

Roberto de Andrade Alves

2020

Uma Jornada Pelos Contrastes Do Brasil : Cem Anos Do Censo Agropecuário

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