Environmentally Sensitive Productivity Growth: A Global Analysis Using Malmquist-Luenberger Index
By Satish Kumar. 2006
486 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/ee38bf6803c1ae1cf543a9139c6c90fe9929ced6
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In Economics and Econometrics
In Environmental Engineering
Citations in the corpus
- Monitoring bank performance in the presence of risk (2014, unknown): “The joint treatment of good and bad outputs is a current trend in the banking literature (Park and Weber 2006; Fukuyama and Weber 2010; Barros et al. 2012), and—to name just another research stream—is widely employed for environmental studies (Färe et al. 2004; Kumar 2006; Sueyoshi and Goto 2011).”
- A metafrontier approach for measuring an environmentally sensitive productivity growth index (2010, unknown): “Kumar (2006) employs the ML index to analyze the environmentally sensitive productivity growth of 41 countries for the period between 1973 and 1992.”
- A sequential Malmquist-Luenberger productivity index : Environmentally sensitive productivity growth considering the progressive nature of technology (2010, unknown): “In Kumar (2006) the half of sample countries showed technical regress, and in Zhou et al. (2010) rates of technical change is negative in almost half of the studied period.”
- 'Green' productivity growth in China's industrial economy (2014, background): “…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 survey by Zhou et al. (2008).”