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Estimation of productivity in Korean electric power plants: A semiparametric smooth coefficient model
Jönköping University, Jönköping International Business School, JIBS, Economics, Finance and Statistics.ORCID iD: 0000-0002-7902-4683
Department of Economics, Binghamton University, Binghamton, NY, USA.
Aston Business School, Aston University, Birmingham, UK.
2014 (English)In: Energy Economics, ISSN 0140-9883, E-ISSN 1873-6181, Vol. 45, 491-500 p.Article in journal (Refereed) Published
Abstract [en]

This paper analyzes the impact of load factor, facility and generator types on the productivity of Korean electric power plants. In order to capture important differences in the effect of load policy on power output, we use a semiparametric smooth coefficient (SPSC) model that allows us to model heterogeneous performances across power plants and over time by allowing underlying technologies to be heterogeneous. The SPSC model accommodates both continuous and discrete covariates. Various specification tests are conducted to assess the performance of the SPSC model. Using a unique generator level panel dataset spanning the period 1995-2006, we find that the impact of load factor, generator and facility types on power generation varies substantially in terms of magnitude and significance across different plant characteristics. The results have strong implications for generation policy in Korea as outlined in this study. (C) 2014 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
2014. Vol. 45, 491-500 p.
Keyword [en]
Semiparametric estimation, Smooth varying coefficient model, Electricity generation, Generator level panel data
National Category
Economics
Identifiers
URN: urn:nbn:se:hj:diva-25904DOI: 10.1016/j.eneco.2014.08.019ISI: 000343613500046Scopus ID: 2-s2.0-84907812186Local ID: IHHEFSISOAI: oai:DiVA.org:hj-25904DiVA: diva2:789185
Available from: 2015-02-18 Created: 2015-02-18 Last updated: 2016-11-29Bibliographically approved

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CiteExportLink to record
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Citation style
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