Scale of operation, allocative inefficiencies and separability of inputs and outputs in agricultural research

Silva, Geraldo da; Gomes, Eliane Gonçalves

doi:10.1590/s0101-74382013005000007

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…We are concerned with detecting the factors of managerial importance that may influence the performance measurements (negatively or positively). Further details on the performance evaluation system carried out by Embrapa can be seen in Souza et al (2010Souza et al ( , 2011 and Souza and Gomes (2013).…”

Section: Embrapa's Performance Modelmentioning

confidence: 99%

Management of agricultural research centers in Brazil: A DEA application using a dynamic GMM approach

Souza

Gomes

2015

European Journal of Operational Research

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In this paper, we measure the performance for each of the Brazilian Agricultural Research Corporation research centers by means of a Data Envelopment Analysis model. Performance data are available for a panel covering the period 2002-2009. The approach is instrumentalist, in the sense of Ramalho, Ramalho, and Henriques (2010). We investigate the effects on performance of contextual variable indicators related to the intensity of partnerships and revenue generation. For this purpose, we propose a fractional nonlinear regression model and dynamic GMM (Generalized Method of Moments) estimation. We do not rule out the endogeneity of the contextual variables, cross-sectional correlation or autocorrelation within the panel. We conclude that revenue generation and previous performance scores are statistically significant and positively associated with actual performance.

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Section: Embrapa's Performance Modelmentioning

confidence: 99%

Management of agricultural research centers in Brazil: A DEA application using a dynamic GMM approach

Souza

Gomes

2015

European Journal of Operational Research

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“…This format expresses the technology of firms with a low scale of production, and therefore, the increase of inputs will improve the marginal productivity of outputs. An efficient frontier with an upward concavity, for instance, is not considered in the DEA literature and, also, presents variable returns to scale (Souza & Gomes, 2013). It has the following characteristics (Benicio & Soares de Mello, 2015):…”

Section: Introductionmentioning

confidence: 99%

Different Types of Return to Scale in Dea

Benício

Mello

2019

Pesqui. Oper.

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The format of the efficient frontier is an important measure of technical efficiency; additionally, it determines the type of return to scale verified by the model. The classical Data Envelopment Analysis (DEA) model, CCR (Charnes et al., 1978), assumes constant returns to scale; conversely, the BCC (Banker et al., 1984) model presents a concave downward efficient frontier that presumes variable returns to scale. This study examines how different returns to scale can be revealed in DEA, considering the possibility of the existence of a concave upward efficient frontier. This kind of frontier, not yet explored by the DEA literature, can also represent viable production, seeing that an increase of the inputs causes an increase of the outputs. Considering this, a concave upward efficient frontier presents a variable return to scale, but with different characteristics from those of the concave downward BCC efficient frontier. This proposal is important because it considers the possibility of an efficient frontier that represents different samples of decision-making units (DMUs). An upward curve would better represent DMUs of smaller production scales that have increased marginal productivity but cannot act as efficiently as larger scale units.

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“…Typical examples of these are the AHP -analytic hierarchy process (Saaty, 1990), MACBETH -Measuring Attractiveness by a Categorical Based Evaluation Technique (Bana e Costa and Vansnick, 1994), and Thurstone's law of comparative and categorical judgments (Torgerson, 1958). See Bana e Costa et al (2014), Souza and Gomes (2013), Canas et al (2015), Gazzola et al (2015Gazzola et al ( , 2016, and Delbari et al (2016), among others, for typical applications of these approaches.…”

Section: Introductionmentioning

confidence: 99%

Alternative Approaches to Evaluate Experts Perceptions: An Application to Agriculture in Brazil

Souza

Gomes

2017

PODes

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RESUMOOs governos intervêm na agricultura por meio de políticas públicas. O objetivo deste trabalho é identificar temas críticos para as políticas públicas em termos de mercado, produção e regulação governamental. Com base em um conjunto de dez principais grupos de riscos agrícolas e as percepções de especialistas relativos tanto à importância destes temas quanto à intensidade das políticas governamentais correspondentes para aliviar os efeitos desses riscos, os temas foram classificados com o uso de métodos multicritério. De modo particular, a discussão concentra-se na lei dos julgamentos de Thurstone e no modelo analítico hierárquico de Saaty. As duas abordagens conduzem a resultados semelhantes. O item "Infraestrutura e logística" foi considerado como o mais importante para ambos os métodos a partir da perspectiva da importância do tema, e é o item menos importante do ponto de vista da intensidade das políticas públicas.Palavras-chave: Risco, Agricultura, Percepções psicométricas, Modelo de Thurstone, AHP. ABSTRACTGovernments intervene in agriculture via public policies. It is the objective of this work to identify critical themes for public policies in market, production, and government regulation. Thus, based on a set of ten main groups of agricultural risks and the perceptions of experts relative to both the importance of these themes and the intensity of the corresponding government policies to relieve risk effects, we rank the themes using multicriteria methods. We particularly discuss Thurstone's law of categorical judgments and the Saaty's analytic hierarchy process. The two approaches lead to similar results. Infrastructure and logistics are regarded as the most important item for both methods from the perspective of theme importance, and they are the least important from the perspective of the intensity of public policies.

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Scale of operation, allocative inefficiencies and separability of inputs and outputs in agricultural research

Cited by 5 publications

References 31 publications

Management of agricultural research centers in Brazil: A DEA application using a dynamic GMM approach

Management of agricultural research centers in Brazil: A DEA application using a dynamic GMM approach

Different Types of Return to Scale in Dea

Alternative Approaches to Evaluate Experts Perceptions: An Application to Agriculture in Brazil

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