A directional slacks-based measure of technical inefficiency

By Hirofumi Fukuyama, William L. Weber. 2009

814 citations recorded by the source corpus.

Subfields: General Agricultural and Biological Sciences, Management Science and Operations Research, Media Technology

View Paper: https://www.semanticscholar.org/paper/9fb8ea9db39a71f65208ead9bd55142d7175e86b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Agricultural and Biological Sciences

1. Roman Matousek
2. Peng Zhou
3. Ning Zhang
4. Hui Wang
5. Yongrok Choi
6. Dequn Zhou
7. Shunsuke Managi
8. Hirofumi Fukuyama

In Management Science and Operations Research

1. Ning Zhang
2. Peng Zhou
3. Yongrok Choi
4. Dequn Zhou
5. Qunwei Wang
6. Hui Wang
7. Zengyao Zhao
8. Boqiang Lin

In Media Technology

1. Roman Matousek
2. Peng Zhou
3. Ning Zhang
4. Hui Wang
5. Yongrok Choi
6. Dequn Zhou
7. Shunsuke Managi
8. Hirofumi Fukuyama

Citations in the corpus

• Environmental energy efficiency of China's regional economies: A non-oriented slacks-based measure analysis (2013, background): “Moreover, radial efficiency measures neglect slack variables, leading to biased estimations (Fukuyama & Weber, 2009) and has a weak discriminating power for ranking and comparing decisionmaking units (DMUs) (Zhou, Poh, & Ang, 2007).”
• Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach (2016, background): “These methods, however, do not account for different slacks of each input or output (Fukuyama and Weber, 2009).”
• The impact of environmental regulations on urban Green innovation efficiency: The case of Xi'an (2020, methodology): “Based on research by Fukuyama and Weber (2009) and Färe, Grosskopf, and Pasurka, (2007)), SBM can be further combined with DDF to prevent DDF models’ radial character and directivity be effectively avoided.”
• Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis (2013, methodology): “To overcome this obstacle, Fukuyama and Weber (2009) and Färe and Grosskopf (2010) have developed a generalized form of directional distance function measure of inefficiency.”
• Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach (2012, background): “However, radial efficiency measures may overestimate the efficiency when there exist non-zero slacks (Fukuyama and Weber, 2009).6 In the context of directional distance function, several studies including Fukuyama and Weber (2009, 2010), Färe and Grosskopf (2010), Mahlberg and Sahoo (2011),…”