Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/71720
Authors: 
Heshmati, Almas
Kumbhakar, Subal
Sun, Kai
Year of Publication: 
2013
Series/Report no.: 
Discussion Paper Series, Forschungsinstitut zur Zukunft der Arbeit 7277
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 compare 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 implication for generation policy in Korea as outlined in this study.
Subjects: 
semiparametric estimation
smooth varying-coefficient model
electricity generation
generator level panel data
JEL: 
C14
C23
C51
D24
L25
L94
Document Type: 
Working Paper

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