Keywords
Stochastic frontier
Manufactuting industry
How to Cite
PlumX
Abstract
This article measures the technical efficiency of five south american countries in manufacturing during 1995-2008. Through an analysis of stochastic frontier efficiency is estimated to test whether agglomeration contributes to get efficient productivity closer to its border. Translog production function is used, because it allows technological changes and variations in the proportions of inputs and outputs of the elasticity of scale. The results show that in the manufacturing sector improvements in technical efficiency and technological changes were not generated during these fourteen years. Evidence suggests that environmental variables determined by the gross formation of total fixed capital or only in machinery and equipment influence the behavior of the sector.
References
Acevedo, M. (2004). Diferencias Regionales en la Eficiencia Técnica del Sector Confecciones en Colombia: Un análisis de Fronteras Estocásticas (Tesis de grado). Universidad de los Andes, Bogotá D.C.
Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977). Formulation and estimation of 25 stochastic frontier productions function models. Journal of economics, 6, 32-37.
Amézquita, C. (2008). La industria manufacturera en Colombia 1995-2005. Revista Facultad de Ciencias Económicas: Investigación y reflexión, 16(2), 61-78.
Batra, G., & Tan, H. (2003). SME Technical Efficiency and its Correlates: Cross-National Evidence and Policy Implications (Working Paper). Washington: World Bank Institute. Recuperado de http://info.worldbank.org/etools/docs/library/74068/china/readings/oct30/tan30engl.pdf
Battese, G., & Broca, S. (1997). Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan. Journal of Productivity Analysis, 8, 395-414.
Battese, G., & Coelli, T. (1988). Prediction of firm level technical efficiencies with a generalized frontier production function and panel data. Journal of econometrics, 38, 387-399.
Battese, G., & Coelli, T. (1992). Frontier production functions, technical efficiency and panel data with application to paddy farmers in Indian. Journal of productivity Analysis, 3(1), 153-169. doi: 10.1007/BF00158774
Battese, G., & Coelli, T. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20, 325-332.
Brescia, V., Lema, D., & Barrón, E. (2003). Dinámica de producción y eficiencia en empresas agrícolas: metodologías para el análisis de datos en panel (Instituto de Economía y Sociología – INTA, Documento de Trabajo 29). Recuperado de http://inta.gob.ar/sites/default/files/script-tmp-dt29.pdf
Casas, A. M. (2001). La comunidad Andina: 30 años en busca del desarrollo. Revista de Fomento Social, 56(221), 65-91.
Castro, G., & Salazar, R. J. (2011). Eficiencia financiera del sector industrial de agroquímicos, Colombia, 2005. Economía Gestión de desarrollo, 11, 91-119.
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