Efficiency and sustainability assessment for a group of farmers in the Brazilian Amazon

Gomes, Eliane Gonçalves; Mello, João Carlos Correia Baptista Soares de; Souza, Geraldo da Silva e; Meza, Lídia Ângulo; Mangabeira, J. A. de C.

doi:10.1007/s10479-008-0390-6

Cited by 64 publications

(35 citation statements)

References 47 publications

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“…In fact, DEA-based procedures using Tobit regression in the second stage perform as well as the best of the parametric methods in the estimation of the impact of contextual variables on productivity (BANKER; NATARAJAN, 2008). It should also be noted that the use of non-parametric tests, such as those presented in Banker and Natarajan (2004) and Gomes et al (2009), constitute an alternative used just as commonly as Tobit regressions in similar situations.…”

Section: Literature Reviewmentioning

confidence: 96%

Evaluating efficiency in the Brazilian trucking industry

Wanke

2012

Prod.

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The purpose of this study is to investigate the issue of efficiency in the Brazilian motor carrier industry using both DEA (Data Envelopment Analysis) and SFA (Stochastic Frontier Analysis) in a complimentary fashion. The study is based on secondary data collected from Transporte Moderno/Maiores e Melhores, a specialized magazine that annually reports statistics on the largest Brazilian trucking companies. Results corroborate not only that increasing returns to scale prevail within this industry, but also provide support for a moderate impact of economies of scope on efficiency levels. Implications in terms of mergers and acquisitions and the impact of cargo diversity and the geographical scope of the operation on virtual efficiency levels are also addressed.

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Section: Literature Reviewmentioning

confidence: 96%

Evaluating efficiency in the Brazilian trucking industry

Wanke

2012

Prod.

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“…However, the operationalization of linkages between soil management, soil functions, and ecosystem services remains a challenge (Schwilch et al, 2016;Stavi et al, 2016). Our framework addresses this gap by linking soil management practices to soil functions and services in particular (Figure 1 Gomes et al, 2009;Hoang, 2011;Hoang & Alauddin, 2012;Lee & Park, 2017;Masuda, 2016;Pagotto & Halog, 2016;Sabiha, Salim, & Rahman, 2017;Spicka, 2014;Spicka & Smutka, 2014;Wang, Chen, Wu, & Li, 2015Boshrabadi et al, 2008Li et al, 2013 Note. Separate indicators are determined by the fraction of benefit divided by resource.…”

Section: Ecosystem Services Impactsmentioning

confidence: 99%

Managing soil functions for a sustainable bioeconomy—Assessment framework and state of the art

et al. 2018

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Bioeconomy strategies have been adopted in many countries around the world. Their sustainable implementation requires a management of soils that maintains soil functions and avoids land degradation. Only then, ecosystem services can be maintained and resources used efficiently. We present an analytical framework for impact assessment that links policy and technology driving forces for soil management decisions to soil processes, soil functional changes, and their impacts on ecosystem services and resource use efficiency, both being targets that have been set by society and are anchored in bioeconomy policy strategies and sustainable development goals. Although the resource use efficiency concept has a long-term tradition, most studies of agricultural management do not address the role of soils in their efficiency assessment. The concept of ecosystem services has received increasing attention over the last years; however, its link to soil functions and soil management practices is still not well established. This study is the first to conceptually link the socioeconomic processes of external drivers for soil management with the natural processes of soil functions and connect them back to impacts on the social system. Application of the framework helps strengthen the science-policy interface and to systemically assess and compare the opportunities and threats of soil management practices from the perspective of goals set by society at different spatial and temporal scales. Insights gained in this way can be applied in stakeholder decisionmaking processes and used to inform the design of governance instruments aimed at sustainable soil management within a bioeconomy. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…As the output data were collected monthly, we apply the model to the period from February to October 2012, and pool all observations together in the analysis, through a longitudinal data approach, as done in [17]. This is one of the ways to increase the number of DMUs [18], since we regard the same plot as a distinct DMU in different months.…”

Section: Dea Modelingmentioning

confidence: 99%

Productive performance of small peri-urban farms using self-organizing maps and data envelopment analysis

Rubem¹,

Moura²,

Oliveira³

et al. 2015

WIT Transactions on Ecology and the Environment

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In this paper, we aim to analyze the productive performance of plots cultivated by family farmers. We use an alternative Data Envelopment Analysis (DEA) approach to calculate the relative efficiency of such plots. Notwithstanding, DEA's basic assumption includes the homogeneity of the production units under analysis. Herein, as the chemical composition of the soil varies considerably among plots, directly influencing their fertility, and, thus, their productivity levels, the plots shall be grouped into homogeneous clusters first. For that, we use SelfOrganizing Maps, based on their comparative advantages to other methods. Then, the relative efficiencies of plots within each cluster will be assessed using separate DEA models. Nonetheless, a direct comparison among the scores of plots from different clusters is not feasible, because the relative efficiency of a production unit can solely be compared to those inserted in the same set of analysis. Hence, to overcome such inconvenience, we further apply a technique that allows compensating for the non-homogeneity of plots. The results indicate that, when countervailing the effects of the chemical composition of the soil, the plots with favorable conditions do not necessarily present better productive outcomes.

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Efficiency and sustainability assessment for a group of farmers in the Brazilian Amazon

Cited by 64 publications

References 47 publications

Evaluating efficiency in the Brazilian trucking industry

Evaluating efficiency in the Brazilian trucking industry

Managing soil functions for a sustainable bioeconomy—Assessment framework and state of the art

Productive performance of small peri-urban farms using self-organizing maps and data envelopment analysis

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