Decomposition of the environmental inefficiency of the meta-frontier with undesirable output

By Ching-Ren Chiu, Je-Liang Liou, Pei-Ing Wu, Chen-Ling Fang. 2012

220 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/0b76599e90d21834e0655fd0ee304c7b321a2877

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Boqiang Lin
2. Ning Zhang
3. Peng Zhou
4. Limin Du
5. Aoife Hanley
6. Ke Li
7. Qunwei Wang
8. Dequn Zhou

In Environmental Engineering

1. Boqiang Lin
2. Ning Zhang
3. Peng Zhou
4. Dequn Zhou
5. Qunwei Wang
6. Ke Li
7. Limin Du
8. Aoife Hanley

In Management Science and Operations Research

1. Boqiang Lin
2. Ning Zhang
3. Limin Du
4. Aoife Hanley
5. Peng Zhou
6. Dequn Zhou
7. Ke Li
8. Qunwei Wang

Citations in the corpus

• Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment (2018, background): “Third, total factor energy efficiency and total factor carbon emission performance are the key indices influencing efficiency measurement deviation, and have always been calculated by the non-radial directional distance function in much literature (Chiu et al., 2012; Toloo et al., 2018).”
• Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis (2016, background): “The second step is to estimate the meta-frontier – i.e. the envelope of the group-specific frontiers (Battese et al., 2004; Chiu et al., 2012; Oh, 2010).”
• Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China (2015, background): “Following Chiu et al. (2012) and Wang et al.”
• Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis (2013, unknown): “Oh (2010) and Chiu et al. (2012), have used a”
• Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach (2013, background): “Following Lin et al. (2012) and Chiu et al. (2012), the energy inefficiency of the metafrontier (MTI) can be divided into two parts: technology gap inefficiency (TGI) and group frontier managerial inefficiency (GMI), as shown in Eqs.”
• Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis (2013, background): “See, for example, Färe et al. (2007), Kumar and Managi (2010), Oh (2010), Oh and Heshmati (2010), Mukherjee (2010), Zhang et al. (2011), Riccardi et al. (2012), Chiu et al. (2012) and Picazo-Tadeo et al. (2012).”