Directional distance functions and environmental regulation

By Andrés J. Picazo‐Tadeo, Ernest Reig-Martínez, F. Hernández-Sancho. 2005

253 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/f2fd7028cf2682690e8927144ee1fca0a15f6082

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. Beng Wah Ang
3. Hui Wang
4. M. Mulder
5. Arjan Trinks
6. Ning Zhang
7. Kim Leng Poh
8. Boqiang Lin

In Management Science and Operations Research

1. Peng Zhou
2. Beng Wah Ang
3. Hui Wang
4. Ali Emrouznejad
5. Ning Zhang
6. Kim Leng Poh
7. M. Mulder
8. Arjan Trinks

Citations in the corpus

• Power Industry Restructuring and Eco-Efficiency Changes: A New Slacks-Based Model in Malmquist- Luenberger Index Measurement (2014, methodology): “The DDF approach has had numerous applications until now (Färe and Grosskopf, 2010a; Färe et al., 2007; Picazo-Tadeo et al., 2005).”
• An Efficiency Perspective on Carbon Emissions and Financial Performance (2020, methodology): “Following the state-of-the-art environmental efficiency measurement literature (Chung et al., 1997; Picazo-Tadeo et al., 2005; Picazo-Tadeo and Prior, 2009), we employ a directional distance function (DDF) model to measure carbon efficiency.”
• A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries (2014, methodology): “In addition, as remarkable extensions of the basic DEA models of environmental efficiency we should consider the Hyperbolic and Directional Distance Functions [18,24–27] and the Slacks Based Measures [28,29].”
• A survey of data envelopment analysis in energy and environmental studies (2008, background): “For instance, if both desirable and undesirable outputs are considered simultaneously, the DDF efficiency measure may provide a more reasonable productivity index because it considers the output of pollution abatement activities (Chung et al., 1997; Färe et al., 2001; Picazo-Tadeo et al., 2005).”
• Environmental efficiency of the Indian cement industry: An interstate analysis (2010, methodology): “This paper differs from reaF && et al (2003) and Picazo -Tadeo et al (2005) in that it scales both desirable output and undesirable output instead of sca ling only desirable output (as done by reaF && et al 2003) or scaling desirable output and inputs (as done by Picazo-Tadeo et al 2005).”
• 'Green' productivity growth in China's industrial economy (2014, background): “4 At the firm level see for example, Boyd et al. (2002) and Picazo-Tadeo et al. (2005); at the industry level see Färe et al. (2001), Shestalova's (2003), Camioto et al. (2014) and Olanrewaju et al. (2012); and at the country level see Jeon and Sickles (2004), Kumar (2006) and a comprehensive…”
• Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach (2012, background): “See, for example, Picazo-Tadeo et al. (2005, 2009), Chang and Hu (2010) and Macpherson et al. (2010).”
• Does service quality matter in measuring the performance of water utilities (2008, background): “Since then, this asymmetric treatment has been a customary practice in performing efficiency analyses in the presence of bad outputs (see, for instance, Tyteca, 1997; Picazo-Tadeo et al., 2005).”