EconPapers    
Economics at your fingertips  
 

Estimation of productivity in Korean electric power plants: A semiparametric smooth coefficient model

Almas Heshmati (), Subal Kumbhakar () and Kai Sun ()

Energy Economics, 2014, vol. 45, issue C, 491-500

Abstract: 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.

Keywords: Semiparametric estimation; Smooth varying coefficient model; Electricity generation; Generator level panel data (search for similar items in EconPapers)
JEL-codes: C14 C23 C51 D24 L25 L94 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988314002011
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Estimation of Productivity in Korean Electric Power Plants: A Semiparametric Smooth Coefficient Model (2013) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:45:y:2014:i:c:p:491-500

Access Statistics for this article

Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

 
Page updated 2019-04-09
Handle: RePEc:eee:eneeco:v:45:y:2014:i:c:p:491-500