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Please use this identifier to cite or link to this item: http://purl.umn.edu/56197

Title: ANALYSIS OF THE TECHNICAL EFFCIENCY OF THE STOCHASTIC FRONTIER PRODUCTION FUNCTION IN FOREST FARMING NICARAGUA 1998-2005
Authors: Zúniga-González, Carlos Alberto
Authors (Email): Zúniga-González, Carlos Alberto(czuniga@unanleon.edu.ni)
Keywords: Stochastic Frontier Production
Forest Police
LSMS-ISA MECOVI
Technical efficiency
Allocative Efficiency.
JEL Codes: D61
Q12
Issue Date: 2009-09-23
Series/Report no.: Congreso Cientifico
Abstract: This paper analyses the farming technical efficiency that make forest activities. The purpose is to assess the impact of the political minimum salary and political fiscal in forest subsector that it is implemented by the governments during the period 1998-2005. I use data base of home survey (MECOVI) from INIDE and the methodology of measuring known as Stochastic Frontier Production Function (Coelli, 1995). Generally speaking, we observe a decreasing trend, but it is acceptable in a 0.90 of the technical efficiency in the farms that combine the forest activity like likelihood in your home. It is evidenced as a positive impact and increasing of application taxation policy and forest technology that promote forest measure that contribute to improve the environmental ecosystem. The governmental institutions that either supervises or monitoring the implement of this political measure, I suggest them consider this investigation results as far as to improve your applicable to political forest with special emphasis in farmers training and education of technology applicable in the forest sector.
Notes: Presented at: UNIVERSITIES NATIONAL COUNCIL III UNVERSITY SCIENTIFIC CONGRESS 41 ANNIVERSARY OF THE CATHOLIC FARMING LIVESTOCK UNIVERSITY OF THE DRY TROPIC ¨UNIVERSITY, SCIENCE AND TECNOLOGY: A STRATEGY FOR CONFRONTING THE NATIONAL GLOBAL CHALLENGE¨ 23 SEPTEMBER 2009
URI: http://purl.umn.edu/56197
Institution/Association: Miscellaneous Papers>Miscellaneous Papers
Total Pages: 22
Collections:Miscellaneous Papers

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