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Study of the Efficiency and Productivity of the Productive Paths of the Bioeconomy in the CNU Universities

In: Handbook on Data Envelopment Analysis in Business, Finance, and Sustainability Recent Trends and Developments

Author

Listed:
  • Carlos Alberto Zúniga-González
  • Mario Ramoń López
  • Jorge Luis Icabalceta-Mairena
  • Elgin Antonio Vivas-Viachica
  • Napoleon Vicente Blanco-Orozco

Abstract

This chapter focuses on measuring the impact of the efficiency and productivity of the research units of the member universities of the CNU. The multi-stage DEA methodology was used with the BCC model of variable returns to scale (VRS). The results showed that in competitive conditions, the efficiency indicators of the DMUs for the universities are defined by business borders; however, when efficiency is analyzed in experimental conditions, the border is marked by the Quality Control Laboratory, Entomophagous Laboratory, the Biochemistry and Physiology Laboratory of UNAN León, and the Tissue Culture and Molecular Biology Laboratory. The efficiency indicators were 19% under constant yields, both in competition and experimental conditions, but varied from 27% to 38% under variable yields, surpassing the competition conditions. Finally, in terms of scale production, the efficiency indicators under experimental conditions decreased from 79% to 65%.

Suggested Citation

  • Carlos Alberto Zúniga-González & Mario Ramoń López & Jorge Luis Icabalceta-Mairena & Elgin Antonio Vivas-Viachica & Napoleon Vicente Blanco-Orozco, 2024. "Study of the Efficiency and Productivity of the Productive Paths of the Bioeconomy in the CNU Universities," World Scientific Book Chapters, in: Sabri Boubaker & Thanh Ngo (ed.), Handbook on Data Envelopment Analysis in Business, Finance, and Sustainability Recent Trends and Developments, chapter 7, pages 221-250, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9781800615786_0007
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    More about this item

    Keywords

    Data Envelopment Analysis; Business; Finance; Banking; Accounting; Sustainability; Efficiency; Performance; Productivity; Total Factor Productivity; Frontier Analysis;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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