Zuniga-Gonzalez, C.A (2009): Analisis de la eficiencia tecnica de la unidad de VPN UNAN-LEON utilizando funcion de produccion stochastic frontier, 2007-2008.
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Abstract
This article measures and analyses the workers technical efficiency in the production virus unit of the UNAN-Leon, during period 2007-2008. For our study we use sectional cruces data take on a normal half Distribution and the measure methodology known as Stochastic Frontier Production Function (Coelli, 1995). The results shown, with technology known as production of polyhedrons nuclear virus (PNV), that the workers were underused in a 58 % during period of study. This indicator makes emphasis on the organizing levels workers to face the technology applied, training and education levels. From this results, is advising to reflect about the combine of technology applied with the worker rational use, to refer the organization, technical training by up productive level and up technical efficiency. In addition, I suggest the necessary for a worker reengineering or worker specializing of the unit PNV, focuses it in satisfies dose Production demand that involve the strengthening of business with farmers. Aggressive strategy business will be suggested.
Item Type: | MPRA Paper |
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Original Title: | Analisis de la eficiencia tecnica de la unidad de VPN UNAN-LEON utilizando funcion de produccion stochastic frontier, 2007-2008 |
English Title: | Technical efficiency analysis of the PNV unit UNAN-Leon using production function stochastic frontier, 2007-2008 |
Language: | Spanish |
Keywords: | Stochastic Frontier Production, PNV, Technical Efficiency, Frontier, Efficiency. |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q51 - Valuation of Environmental Effects |
Item ID: | 110950 |
Depositing User: | Prof. Dr. C. A. Zuniga-Gonzalez |
Date Deposited: | 08 Dec 2021 07:51 |
Last Modified: | 12 Dec 2021 16:28 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/110950 |