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Technical efficiency of production in agricultural research

Author

Listed:
  • Geraldo Silva E Souza

    (Embrapa - Empresa Brasileira de Pesquisa Agropecuária)

  • Eliseu Alves

    (Embrapa - Empresa Brasileira de Pesquisa Agropecuária)

  • Ant onio Flávio Dias ávila

    (Embrapa - Empresa Brasileira de Pesquisa Agropecuária)

Abstract

We define and model research production at Embrapa, the major Brazilian institution responsible for applied agricultural research. The main theoretical framework used is Data Envelopment Analysis — DEA. The economic interpretation of these models is explored to assess scale, congestion and cost efficiencies. Efficiency results are used to test for differences among types of research units and for the scale of operation. A further analysis of agricultural research in Brazil is carried out with the inclusion of three research centers in Argentina. Finally, DEA estimates are compared with the fit of a stochastic frontier.

Suggested Citation

  • Geraldo Silva E Souza & Eliseu Alves & Ant onio Flávio Dias ávila, 1999. "Technical efficiency of production in agricultural research," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(1), pages 141-160, September.
    • Handle: RePEc:spr:scient:v:46:y:1999:i:1:d:10.1007_bf02766299
    DOI: 10.1007/BF02766299
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    References listed on IDEAS

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    1. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    2. Patrick L. Brockett & Boaz Golany, 1996. "Using Rank Statistics for Determining Programmatic Efficiency Differences in Data Envelopment Analysis," Management Science, INFORMS, vol. 42(3), pages 466-472, March.
    3. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
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    1. Kairui Zuo & Jiancheng Guan, 2017. "Measuring the R&D efficiency of regions by a parallel DEA game model," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 175-194, July.
    2. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    3. Jiancheng Guan & Kairui Zuo, 2014. "A cross-country comparison of innovation efficiency," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 541-575, August.

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