A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies

A-Tier
Journal: Energy Economics
Year: 2015
Volume: 48
Issue: C
Pages: 136-144

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper analyses the technical efficiency of Chinese fossil-fuel electricity generation companies from 1999 to 2011, using a Bayesian stochastic frontier model. The results reveal that efficiency varies among the fossil-fuel electricity generation companies that were analysed. We also focus on the factors of size, location, government ownership and mixed sources of electricity generation for the fossil-fuel electricity generation companies, and also examine their effects on the efficiency of these companies. Policy implications are derived.

Technical Details

RePEc Handle
repec:eee:eneeco:v:48:y:2015:i:c:p:136-144
Journal Field
Energy
Author Count
3
Added to Database
2026-01-24