Environmental production functions and environmental directional distance functions

By R. Färe, Shawna Grosskopf, Carl Pasurka. Energy, 2007

788 citations recorded by the source corpus.

This study derives the relationship between environmental production functions and environmental directional distance functions. These two approaches make different assumptions when modeling the joint production of good and bad outputs. The environmental production function credits a producer solely for expanding good output production, while the directional environmental distance function credits a producer for simultaneously increasing production of the good output and reducing production of bad outputs. Estimates of technical efficiency and pollution abatement costs are calculated using data from coal-fired power plants. These results provide the empirical basis for comparing the environmental production function to the environmental directional distance function.

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

View Paper: https://www.semanticscholar.org/paper/b03d3aaf35e73d57160bae7332bd3d8f94885181

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. Ning Zhang
2. Peng Zhou
3. Dequn Zhou
4. Chao Feng
5. Yongrok Choi
6. Boqiang Lin
7. Zhaohua Wang
8. Hui Wang

In Environmental Engineering

1. Ning Zhang
2. Peng Zhou
3. Chao Feng
4. Dequn Zhou
5. Yongrok Choi
6. Zhaohua Wang
7. Boqiang Lin
8. Hui Wang

In Management Science and Operations Research

1. Ning Zhang
2. Peng Zhou
3. Chao Feng
4. Yongrok Choi
5. Dequn Zhou
6. Zhaohua Wang
7. Ali Emrouznejad
8. Boqiang Lin

Citations in the corpus

• Environmental efficiency of the Indian cement industry: An interstate analysis (2010, background): “The other strand of literature models the production of desirable and undesirable output in a joint production theoretic framework and extends the traditional analysis of efficiency (Farrell, 1957).”
• Sources of production inefficiency and productivity growth in China: A global data envelopment analysis (2015, background): “In response, some scholars have tried to incorporate environmental factors into the total-factor framework (Bian and Yang, 2010; Chen and Golley, 2014; Chiu and Wu, 2010; Färe et al., 2007; Guo et al., 2010; Li and Hu, 2010; Lin et al., 2011; Meng et al., 2013; Shi et al., 2010; Wang and Feng, 2014;”
• A sequential Malmquist-Luenberger productivity index : Environmentally sensitive productivity growth considering the progressive nature of technology (2010, positive): “We employ the DDF in order to properly deal with environmentally harmful by-products (Färe et al., 2007a).”
• 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).”