Efficiency and technology of dairy sheep production systems in Castilla-La Mancha, Spain. A metafrontier approach

• Martiña Morantes ^[4] ; Rafaela Dios-Palomares ^[1] ; David Alcaide López de Pablo ^[2] ; José Rivas ^[3]
  1. [1] Universidad de Córdoba

     Universidad de Córdoba

     Cordoba, España

     
  2. [2] Universidad de La Laguna

     Universidad de La Laguna

     San Cristóbal de La Laguna, España

     
  3. [3] Universidad Central de Venezuela

     Universidad Central de Venezuela

     Venezuela

     
  4. [4] Instituto-Departamento de Producción Animal, Universidad Central de Venezuela,Venezuela.

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• Localización: New medit: Mediterranean journal of economics, agriculture and environment = Revue méditerranéenne d'economie, agriculture et environment, ISSN 1594-5685, Vol. 21, Nº. 1 (marzo), 2022, págs. 33-52
• Idioma: inglés
• DOI: 10.30682/nm2201c
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• Resumen

  • This paper deals with the efficiency level of cereal-dairy sheep production systems in the Mediterranean Basin.

    It studies them in the Protected Designation of Origin “Manchego Cheese”, located in Castilla-La Mancha (Spain). Previous studies have alerted to the low productivity levels in these farms, suggesting conducting an efficiency analysis. This work evaluates technological levels by means of synthetic indexes. Two different groups were defined. Technical efficiency was estimated using Data Envelopment Analysis with metafrontier models. The higher the technological level, the higher the efficiency level. Low technology farms could increase their production at least around 23% using the technologies of the high-technology group. Thus, it could be wise to apply new technologies, as new feeding techniques, and the use of troughs of cement, dungheaps, flushing and selective breeding. Increase farm size is a way to implement these technologies. Special attention to managerial functions, mainly organisation and planning, is also advisable. The government must improve the agricultural policies. These actions could increase efficiency, resiliency and sustainability of the farms.

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