Nonparametric Productivity Analysis with Undesirable Outputs: Comment

By R. Färe, Shawna Grosskopf. 2003

367 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/00cd4bf857a29d094ef249065d1e8295c1f7a421

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. Zhimin Huang
2. Yi-Ming Wei
3. Ke Wang
4. Marcos Pereira Estellita Lins
5. Eliane Gonçalves Gomes
6. Yan Song
7. P. Jeanneaux
8. Yunqiang Liu

In Environmental Chemistry

1. Ke Wang
2. Yi-Ming Wei
3. Laure Latruffe *
4. Zhimin Huang

In Management Science and Operations Research

1. Zhimin Huang
2. Yi-Ming Wei
3. Ke Wang
4. Marcos Pereira Estellita Lins
5. Eliane Gonçalves Gomes
6. P. Jeanneaux
7. Laure Latruffe *
8. K. Hervé Dakpo

Citations in the corpus

• Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs (2005, neutral): “These two perspectives have recently been critically debated by Hailu and Veeman (2001), Färe and Grosskopf (2003), and Hailu (2003).”
• Modelling undesirable outputs with zero sum gains data envelopment analysis models (2008, background): “Färe and Grosskopf (2003) mention some drawbacks when treating undesirable outputs as inputs, though acknowledging that this approach is intuitively appealing.”
• Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings (2016, methodology): “We emphasis that since the VRS assumption is not directly linked with weak disposability assumption (Färe and Grosskopf 2003; Kuosmanen, 2005; Zhou et al., 2008; Murty et al., 2012) which is utilized for modeling CO2 emissions in this study, the DEA based potential gains estimation models that…”
• Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric framework (2016, background): “Färe and Grosskopf (2003) argued that the use of n output-oriented DDF is sufficient to obtain the right sign of bad utputs’ shadow prices.”
• Environmental regulation, green technological innovation, and eco-efficiency: The case of Yangtze river economic belt in China (2020, background): “Thus, combined with the research of Carboni and Russu (2015); (Färe and Grosskopf, 2003; Jie et al., 2013; Ren, 2016), we choose the approach of Seiford and Zhu (2002) to treat the undesirable outputs as controllable inputs.”