Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth
By R. Färe, Shawna Grosskopf, Carl Pasurka. 2001
398 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/6a6d4b4a37737268d7a927e2e36237716fa194eb
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In Economics and Econometrics
In Environmental Engineering
Citations in the corpus
- A survey of data envelopment analysis in energy and environmental studies (2008, background): “For instance, if both desirable and undesirable outputs are considered simultaneously, the DDF efficiency measure may provide a more reasonable productivity index because it considers the output of pollution abatement activities (Chung et al., 1997; Färe et al., 2001; Picazo-Tadeo et al., 2005).”
- Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis (2013, neutral): “Some empirical studies applying theML index includeWeber andDomazlicky (2001), Färe et al. (2001), Yörük and Zaim (2005), Kumar (2006), andNakano andManagi (2008) for measuring environmental performance change.”
- Environmental efficiency measurement and the materials balance condition (2007, methodology): “…applied studies have used similar approaches in other industrial applications (e.g., Färe et al. 1996; Coggins and Swinton 1996; Chung et al. 1997; Färe et al. 2001) and also in agricultural applications involving nutrient pollution (e.g., Ball et al. 1994; PiotLepetit and Vermersch 1998;…”
- Effects of local and civil environmental regulation on green total factor productivity in China: A spatial Durbin econometric analysis (2017, background): “In order to avoid measure error caused by unexpected output, scholars (Chambers et al., 1996; Chung et al., 1997; F€are et al., 2001) established a new directional distance function, respectively.”
- Productivity growth and environmental regulations - accounting for undesirable outputs: Analysis of China's thirty provincial regions using the Malmquist–Luenberger index (2011, methodology): “There are several studies on the development andapplicationof this approach, includingmeasurement of the Malmquist–Luenberger (ML) productivity index and its components (Färe et al., 2001; Färe and Grosskopf, 2004; Kumar, 2006; Picazo-Tadeo et al., 2005).”
- A sequential Malmquist-Luenberger productivity index : Environmentally sensitive productivity growth considering the progressive nature of technology (2010, neutral): “Färe et al. (2001) employ the ML index to account for both marketed output and the pollution abatement activities in US state manufacturing sectors from 1974 to 1986.”
- Environmentally Sensitive Productivity Growth: A Global Analysis Using Malmquist-Luenberger Index (2006, background): “It also offers an alternative way of assigning weightage on the relative importance of the bad outputs which can be interpreted as if consumers have preferences for reducing bad outputs regardless of the actual damage resulting from these products (Färe et al., 2001).”
- Power Industry Restructuring and Eco-Efficiency Changes: A New Slacks-Based Model in Malmquist- Luenberger Index Measurement (2014, methodology): “={( y, b): x can produce ( y, b)} (2) Färe et al. (2001) introduced the following model to measure the inefficiency of the DMUs using directional vector g: Do(x, y, b;g)= (3) Subject to ∑ ∑ ∑ where , , and are inputs, good and bad outputs corresponding to the under- assessment DMU, respectively,…”