TY - JOUR
T1 - A panel data parametric frontier technique for measuring total-factor energy efficiency
T2 - An application to Japanese regions
AU - Honma, Satoshi
AU - Hu, Jin-Li
N1 - Publisher Copyright:
© 2014 Elsevier Ltd.
PY - 2014/12/15
Y1 - 2014/12/15
N2 - Using the stochastic frontier analysis model, we estimate TFEE (total-factor energy efficiency) scores for 47 regions across Japan during the years 1996-2008. We extend the cross-sectional stochastic frontier model proposed by Zhou etal. (2012) to panel data models and add environmental variables. The results provide not only the TFEE scores, in which statistical noise is taken into account, but also the determinants of inefficiency. The three stochastic TFEE scores are compared with a TFEE score derived using data envelopment analysis. The four TFEE scores are highly correlated with one another. For the inefficiency estimates, higher manufacturing industry shares and wholesale and retail trade shares correspond to lower TFEE scores.
AB - Using the stochastic frontier analysis model, we estimate TFEE (total-factor energy efficiency) scores for 47 regions across Japan during the years 1996-2008. We extend the cross-sectional stochastic frontier model proposed by Zhou etal. (2012) to panel data models and add environmental variables. The results provide not only the TFEE scores, in which statistical noise is taken into account, but also the determinants of inefficiency. The three stochastic TFEE scores are compared with a TFEE score derived using data envelopment analysis. The four TFEE scores are highly correlated with one another. For the inefficiency estimates, higher manufacturing industry shares and wholesale and retail trade shares correspond to lower TFEE scores.
KW - Data envelopment analysis
KW - Panel data
KW - Shephard distance functions
KW - Stochastic frontier analysis
KW - TFEE (total-factor energy efficiency)
UR - http://www.scopus.com/inward/record.url?scp=84920744317&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2014.10.066
DO - 10.1016/j.energy.2014.10.066
M3 - Article
AN - SCOPUS:84920744317
SN - 0360-5442
VL - 78
SP - 732
EP - 739
JO - Energy
JF - Energy
ER -