Ecoeficiência da produção agropecuária na Amazônia brasileira: fatores determinantes e dependência espacial

Silva, João Vitor Borges da; Peña, Carlos Rosano; Martins, Michelle Márcia Viana; Tavares, Rafael Castro; Silva, Pedro Henrique Borges da

doi:10.1590/1806-9479.2021.250907

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…In this dimension, it was observed Good Standard of Sustainability, level 4, reaching an average of 0.524 tenths or 52% of performance, being the best level enter and the five dimensions studied, showing positive contribution to the economic segment of dairy cattle in Rondônia. The level of education and access to technical assistance are determining factors to increase the economic-ecological efficiency of properties of those who perform livestock activities in municipalities in the Amazon (Silva et al, 2022).…”

Section: Resultsmentioning

confidence: 99%

“…, level 3, performing below an economic dimension, but in context, meets the second level of sustainability among the five best analysis dimensions. According to Silva et al (2022), they also prove that the social dimension as a level of education, where educational policies are being improved, which promotes a more sustainable environment in agricultural practices.…”

Section: Resultsmentioning

confidence: 99%

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Global Sustainability Index (GSI) construction: an evaluation tool for public policies directed at sustainable milk production in contemporary time

Aragão

Pfeifer

Borrero

et al. 2022

RSD

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Sustainable development refers to agricultural and industrial activities and the understanding of sustainability assumes greater complexity, which requires economic, social, environmental, institutional, technological, cultural and geographical emphasis to be considered, because what is sustainable for one region may not be for another. The article aims to show methodological criteria for the construction of the Global Sustainability Index (GSI) and its importance in the evaluation of public policies of sustainable milk production in contemporary times. The methodology considers the economic, social, environmental, institutional and technological dimensions, for better assessing the sustainable of economically active activities. The survey took place in Rondônia with 400 dairy farmers, where we obtained the GSI that achieved average sustainability, GSI = 0.42. The economic dimension presented an index of 0.52, being the most sustainable among the analyzed dimensions. Following the decreasing order, comes the social and environmental, with average sustainability of 0.44 and 0.41, and, with low sustainability, was the technological dimension, which showed an index of 0.39, and, the institutional with 0.32 decimal points of sustainability. This result indicates the need for political and technological efforts for better performance in the sector.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Global Sustainability Index (GSI) construction: an evaluation tool for public policies directed at sustainable milk production in contemporary time

Aragão

Pfeifer

Borrero

et al. 2022

RSD

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“…Bootstrap computational models with DEA are used to evaluate eco-efficiency, and most studies have been conducted in China. The studies include the following: The evaluation of China's industrial eco-efficiency of 112 resource-based cities from 2003 to 2016 [16], the eco-efficiency of China's hospitality sector of 31 provinces in the period 2016-2019 [17], analysis of the impact of the Pollution Information Transparency Index (PITI) on the eco-efficiency of 109 cities with environmental protection [18], a study to evaluate the eco-efficiency of the Hungarian agricultural sector [19], the eco-efficiency of 298 Municipal Solid Waste Service Providers (MSWSPs) in Chile [20], an evaluation of the eco-efficiency of 32 municipalities located in Tropical Montane Cloud Forests (TMCF) in Mexico [21,22], the eco-efficiency of municipalities in the Amazon [23], and the regional eco-efficiency in China during 2008-2017 [24]. Thus, several studies focus on evaluating ecoefficiency, but few use bootstrap computational techniques with DEA to remove outliers and calculate eco-efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

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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“…Another analyzed the effects of agricultural efficiency on deforestation in the Legal Amazon [36]. A study applied DEA to evaluate the eco-efficiency of agricultural activity in the municipalities of the Legal Amazon using data from the Agricultural Census [37].…”

Section: Data Envelopment Analysis (Dea)mentioning

confidence: 99%

Changes and Factors Determining the Efficiency of Cattle Farming in the State of Pará, Brazilian Amazon

et al. 2023

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Livestock production in the Brazilian state of Pará, located in the Amazon biome, faces challenges related to sustainable production chains and competitive production systems. Historically, expansion of pastures has led to environmental pressures and low productivity. The objective is to evaluate changes in cattle raising efficiency in the microregions of Pará state and identify the factors contributing to efficient cattle production at the state level. The data analysis techniques used include Data Envelopment Analysis, Malmquist Index, and Tobit Regression. The study found that, on average, there was a marginal improvement in livestock efficiency in Pará over the analyzed years, increasing from 0.75 (75%) in 2006 to 0.76 (76%) in 2017. However, nine out of 17 microregions showed improvement in individual efficiency, while five showed a decline. Non-family agriculture, livestock credit, and land prices were identified as factors that negatively contributed to the activity’s inefficiency, while specialization in soybeans and deforestation were factors that positively contributed to inefficiency. The study suggests that financial support for technological and infrastructure improvements, more rigorous environmental policies, and a more competitive environment can further contribute to improving the efficiency of cattle farming in Pará.

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Ecoeficiência da produção agropecuária na Amazônia brasileira: fatores determinantes e dependência espacial

Cited by 7 publications

References 27 publications

Global Sustainability Index (GSI) construction: an evaluation tool for public policies directed at sustainable milk production in contemporary time

Global Sustainability Index (GSI) construction: an evaluation tool for public policies directed at sustainable milk production in contemporary time

Bootstrap Method of Eco-Efficiency in the Brazilian Agricultural Industry

Changes and Factors Determining the Efficiency of Cattle Farming in the State of Pará, Brazilian Amazon

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