Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution
By Scott E. Atkinson, J. Dorfman. 2005
127 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/a347974103dbe080ef90da0048f831a4c2c03fc5
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
- Liwei Fan
- Xun Zhou
- Peng Zhou
- Mike G. Tsionas
- William H. Greene
- Scott E. Atkinson
- Stephane Hess
- Massimo Filippini
In Management Science and Operations Research
- Liwei Fan
- Xun Zhou
- Peng Zhou
- Mike G. Tsionas
- William H. Greene
- Scott E. Atkinson
- Massimo Filippini
- Federico Belotti
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- The Econometric Approach to Efficiency Analysis (2008, background): “Atkinson and Dorfman (2005) have extended the distance function method to include both desirable and undesirable outputs in the generation of electricity.”
- Directional distance functions: Optimal endogenous directions (2016, methodology): “Similarly, using an input-oriented distance function, as with Atkinson and Dorfman (2005), a researcher has two options.”
- On estimating shadow prices of undesirable outputs with efficiency models: A literature review (2014, methodology): “Please cite this article in press as: Zhou P et al. On estimating shadow prices of ergy (2014), http://dx.doi.org/10.1016/j.apenergy.2014.02.049 [37] Atkinson SE, Dorfman JH. Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for ”