2012
DOI: 10.1016/j.ejor.2012.04.022
|View full text |Cite
|
Sign up to set email alerts
|

Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
320
1
1

Year Published

2015
2015
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 747 publications
(323 citation statements)
references
References 47 publications
1
320
1
1
Order By: Relevance
“…5 Recently, increased efforts have been put into improving carbon performance modeling and shadow price estimation techniques. The first research strand uses non-radial directional distance functions to incorporate slacks into the efficiency measure (Barros et al, 2012;Färe and Grosskopf, 2010;Zhang and Choi, 2013b;Zhou et al, 2012). The second strand uses the meta-frontier technique to incorporate group heteroskedasticity into the analysis (Battese et al, 2004;Oh, 2010;Zhang et al, 2013).…”
Section: Supply-side/production-based Maccmentioning
confidence: 99%
“…5 Recently, increased efforts have been put into improving carbon performance modeling and shadow price estimation techniques. The first research strand uses non-radial directional distance functions to incorporate slacks into the efficiency measure (Barros et al, 2012;Färe and Grosskopf, 2010;Zhang and Choi, 2013b;Zhou et al, 2012). The second strand uses the meta-frontier technique to incorporate group heteroskedasticity into the analysis (Battese et al, 2004;Oh, 2010;Zhang et al, 2013).…”
Section: Supply-side/production-based Maccmentioning
confidence: 99%
“…Yu et al [18], Zhang et al [27] and Mei et al [28] incorporate the meta-frontier approach into a non-radial DDF. In addition, Zhou et al [29] design a non-radial DDF following an axiomatic approach, while Zhang et al [19] develop a sequential generalized directional distance function approach to calculate the efficiency. We extend the work of Färe and Grosskopf [25,26], and use an innovative global benchmark technology in the generalized non-radial DDF that envelopes all contemporaneous benchmark technologies by establishing a single reference PPS (production possibility set) from a panel data on inputs and outputs of relevant DMUs, i.e., the global generalized directional distance function [30], so that to improve the discriminating power and comparability of intertemporal observations and analyze the sustainable performance of Chinese hospitals.…”
Section: Introductionmentioning
confidence: 99%
“…As indicated in Fukuyama and Weber (2009) and Zhou et al (2012) a conventional DDF model may overestimate the efficiency when non-zero slacks appears in the efficiency measures, hence, a new generation of non-radial DDF model has been introduced to the DEA literature (Fukuyama et al, 2011) and have been successfully applied in many applications (Fukuyama and Weber, 2010;Mahlberg and Sahoo, 2011;Sahoo et al, 2011;Wang et al, 2013;Zhou et al, 2012). DDF models have also been applied in many disciplines including energy efficiency , assessment of banks (Barros et al, 2012), agriculture (Blancard et al, 2006).…”
Section: Directional Distance Functionmentioning
confidence: 99%
“…However non-radial models like those are employed by Zhou et al (2012) and Wang et al (2013) are more appropriate for efficiency measurement in the presence of comprehensive information and when the stress is on compliance with the exogenous rules instead of flexibility of efficiency measurement models.…”
Section: Advantages Of the New Slacks-based Modelsmentioning
confidence: 99%