Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions

By Sebastián Lozano, Ester Gutiérrez. 2008

218 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/037304ac18dd2b686b51e4a45f659a20a4113eac

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. Peng Zhou
2. Hui Wang
3. Beng Wah Ang
4. Ching-Ren Chiu
5. Yiwen Bian
6. Pei-Ing Wu
7. Chen-Ling Fang
8. Je-Liang Liou

In Environmental Engineering

1. Peng Zhou
2. Hui Wang
3. H. Haberl
4. F. Krausmann
5. Beng Wah Ang
6. Ching-Ren Chiu
7. Yiwen Bian
8. Boqiang Lin

In Management Science and Operations Research

1. Peng Zhou
2. Hui Wang
3. Beng Wah Ang
4. Yiwen Bian
5. Hao Xu
6. Ping He
7. Ching-Ren Chiu
8. Ning Zhang

Citations in the corpus

• Decomposition of the environmental inefficiency of the meta-frontier with undesirable output (2012, methodology): “After the issue of CO2 emissions arose, extensive research was conducted on the environmental effects of these emissions (Lozano and Gutiérrez, 2008; Lozano et al., 2009; Sueyoshi and Goto, 2010; Zhou et al., 2010).”
• How not to measure sustainable value (and how one might) (2009, methodology): “This should not be confused with the interpretation of benchmark adopted in the previous section, and commonly used in the literature of frontier estimation (e.g., Färe et al., 1994, 2007; Kuosmanen and Kortelainen, 2005; Lozano and Gutierrez, 2008).”
• A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries (2014, background): “The first group is formed by studies which calculate a single unified efficiency measure which is labeled as energy or environmental efficiency under the different targets of each survey [30,31,15,32–34].”
• Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach (2013, background): “The first one focuses on investigating the relationships among energy consumption, CO2 emissions and GDP growth for regions or counties, e.g., Ramanathan (2006), Lozano and Gutiérrez (2008) and Li et al. (2011).”
• A systematic review of the evidence on decoupling of GDP, resource use and GHG emissions, part II: synthesizing the insights (2020, methodology): “Five studies (Lozano and Gutiérrez 2008, Valadkhani et al 2016, Bampatsou et al 2017, BeltranEsteve and Picazo-Tadeo 2017, Wang et al 2019) use Data Envelopment Analysis techniques, a method providing efficiency rankings of countries, which show that most countries could reduce their emissions if…”
• Industry-level Total-factor Energy Efficiency in Developed Countries (2011, unknown): “Lozano and Gutiérrez [44] propose three models for evaluating efficiency using 2 DEA is also widely used in resource and environmental economics [37–39].”