Abstract
This research proposes the estimation of stochastic frontiers model using panel data, to measure the technical efficiencies in 4 perspectives for the electricity generation sector in Chile for the period 2010–2015. The first perspective is to analyze the main companies in the sector; the second is about generation plants based on their contribution only as energy generates; the third is also power plants, but this time considering its contribution as generation and security to the system; and a fourth analysis is following the third model, but this time only considering the year 2015 in order to get a greater sampling of power plants and generation sources. The estimation also used 2 functional forms of production for each analysis: Cobb-Douglas and Translogarithmic that are compared to obtain the best representation of the data. The results show to which companies, plants and generation sources are the most and least efficient.
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de la Fuente-Mella, H., Vallina-Hernández, A.M., Estay-Cornejo, R. (2020). Econometric Modeling of the Efficiency in the Generation of Electric Power in Chile. In: Kantola, J., Nazir, S. (eds) Advances in Human Factors, Business Management and Leadership. AHFE 2019. Advances in Intelligent Systems and Computing, vol 961. Springer, Cham. https://doi.org/10.1007/978-3-030-20154-8_32
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DOI: https://doi.org/10.1007/978-3-030-20154-8_32
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