An Analysis of the Eco-Efficiency of the Agricultural Industry in the Brazilian Amazon Biome

Gabriela Mayumi Saiki (), André Luiz Marques Serrano (), Gabriel Arquelau Pimenta Rodrigues, Carlos Rosano-Peña, Fabiano Mezadre Pompermayer and Pedro Henrique Melo Albuquerque
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Gabriela Mayumi Saiki: Professional Post-Graduate Program in Electrical Engineering (PPEE), Department of Electrical Engineering (ENE), Technology Faculty, University of Brasilia (UnB), Brasilia 70910-900, DF, Brazil
André Luiz Marques Serrano: Professional Post-Graduate Program in Electrical Engineering (PPEE), Department of Electrical Engineering (ENE), Technology Faculty, University of Brasilia (UnB), Brasilia 70910-900, DF, Brazil
Gabriel Arquelau Pimenta Rodrigues: Professional Post-Graduate Program in Electrical Engineering (PPEE), Department of Electrical Engineering (ENE), Technology Faculty, University of Brasilia (UnB), Brasilia 70910-900, DF, Brazil
Carlos Rosano-Peña: Faculty of Economics, Administration and Accounting (FACE), Department Administration (ADM), University of Brasilia (UnB), Brasilia 70910-900, DF, Brazil
Fabiano Mezadre Pompermayer: Institute for Applied Economic Research (IPEA), Brasilia 70390-025, DF, Brazil
Pedro Henrique Melo Albuquerque: Faculty of Economics, Administration and Accounting (FACE), Department Administration (ADM), University of Brasilia (UnB), Brasilia 70910-900, DF, Brazil

Sustainability, 2024, vol. 16, issue 13, 1-23

Abstract: The exponential growth of the agricultural industry in the Amazon region has brought about notable economic advancements. However, this growth has substantially cost the region’s ecosystems, manifesting in increased deforestation and biodiversity degradation within the Amazon forest. This article is dedicated to assessing the eco-efficiency of agricultural production in Amazon Biome municipalities. It places particular emphasis on identifying critical determinants through the utilization of the classic Data Envelopment Analysis (DEA) model for efficiency computation, super-efficiency models for distinctive characterization, bootstrap computational techniques for robust resampling, and the Malmquist index for calculating annual eco-efficiency indices of each Decision-Making Unit (DMU). An exploration of the correlation between efficiency and meteorological attributes of the municipalities is conducted. The findings of this study reveal the following significant points: Eco-efficient municipalities within the Amazon Biome can serve as benchmarks for other DMUs striving to attain optimal input–output levels, most municipalities in the Amazon Biome operate close to the productive frontier due to the prevalent technology employed in their agricultural activities, the nature of the technological frontier’s return suggests that small and large DMUs possess eco-efficiency potential, and the current dataset does not yield conclusive evidence regarding a direct correlation between the variables. Leveraging this information, strategic pathways can be formulated to drive economic development in tandem with the sustainability of Amazon Biome municipalities. These strategies promise to foster social, economic, and environmental benefits for the populace while providing valuable insights to inform future research within this thematic domain.

Keywords: farming industry; ecosystem; bootstrap; sustainable development; productivity analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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