Environmental Regulation, Investment Timing, and Technology Choice
By Wayne B. Gray, Ronald J. Shadbegian. 2003
423 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/4e7153ab0685d5aeed24b20dbde3d2ae75c3c59e
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In Economics and Econometrics
- Antoine Dechezleprêtre
- Misato Sato
- Vera Zipperer
- T. Kózluk
- A. Stefan
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- Stefan Ambec
- Pablo del Río González
Citations in the corpus
- Technological Change and the Environment (2001, neutral): “For measuring the characteristics of environmental regulations, studies have used expert judgements about relative regulatory stringency in different states [Gray and Shadbegian (1998)], number of enforcement actions [Gray and Shadbegian (1995)], attainment status with respect to environmental laws ”
- Can Environmental Regulations be Good for Business? An Assessment of the Porter Hypothesis (2005, background): “(continued) Study Data Methodology Results IV.”
- The empirical analysis of the determinants for environmental technological change: A research agenda (2009, background): “mental technological change). Gray and Shadbegian (1998)”
- Does It Pay to Be Green? A Systematic Overview (2008, background): “Gray and Shadbegian (1998) found that more stringent air and water regulations have a significant impact on paper mills’ technological choice in the U.S.”
- Environmental policy without costs? : A review of the Porter hypothesis (2009, result): “Later studies have, in part, confirmed these results (Gray and Shadbegian, 2003) However, there are a few studies that show a somewhat different result.”
- Environmental policies and productivity growth: a critical review of empirical findings (2015, background): “Only Greenstone et al. (2012) account for plant closure while Becker (2011) and, to a lesser extent Gray and Shadbegian (2003), explicitly control for some firm characteristics that may drive productivity.”
- The Impacts of Environmental Regulations on Competitiveness (2017, methodology): “By combining large micro datasets with long panels, Kahn (1997) and Greenstone (2002) are able to provide the most compelling evidence to date on the impact of the U.S. CAAA on employment. Kahn (1997) finds that the growth rate in manufacturing employment over the 1982–1988 period is 9 percent lower”