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

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  • da Silva e Souza, Geraldo
  • Gomes, Eliane Gonçalves

Abstract

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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  • da Silva e Souza, Geraldo & Gomes, Eliane Gonçalves, 2015. "Management of agricultural research centers in Brazil: A DEA application using a dynamic GMM approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 819-824.
    • Handle: RePEc:eee:ejores:v:240:y:2015:i:3:p:819-824
    DOI: 10.1016/j.ejor.2014.07.027
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    Cited by:

    1. Geraldo Souza & Eliane Gonçalves Gomes & Eliseu Roberto Alves, 2022. "Two-part fractional regression model with conditional FDH responses: an application to Brazilian agriculture," Annals of Operations Research, Springer, vol. 314(2), pages 393-409, July.
    2. Yinsheng Yang & Qianwei Zhuang & Guangdong Tian & Silin Wei, 2018. "A Management and Environmental Performance Evaluation of China’s Family Farms Using an Ultimate Comprehensive Cross-Efficiency Model (UCCE)," Sustainability, MDPI, vol. 11(1), pages 1-25, December.
    3. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    4. Abdul Kadar Muhammad Masum & Md Abul Kalam Azad & Kazi Enamul Hoque & Loo-See Beh, 2015. "Domestic Banks in Bangladesh Could Ensure Efficiency by Improving Human Resource Management Practices," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-17, July.
    5. Sun, Chuanwang & Zhang, Wenyue & Fang, Xingming & Gao, Xiang & Xu, Meilian, 2019. "Urban public transport and air quality: Empirical study of China cities," Energy Policy, Elsevier, vol. 135(C).

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