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Measuring Environmental Regulatory Stringency

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Abstract

Researchers have long been interested in whether environmental regulations discourage investment, reduce labour demand, or alter patterns of international trade. But estimating those consequences of regulations requires devising a means of measuring their stringency empirically. While creating such a measure is often portrayed as a data collection problem, we identify four fundamental conceptual obstacles, which we label multidimensionality, simultaneity, industrial composition, and capital vintage. We then describe the long history of attempts to measure environmental regulatory stringency, and assess their relative success in light of those obstacles. Finally, we propose a new measure of stringency that would be based on emissions data and could be constructed separately for different pollutants.

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  • Claire Brunel & Arik Levinson, 2013. "Measuring Environmental Regulatory Stringency," Working Papers gueconwpa~13-13-02, Georgetown University, Department of Economics.
  • Handle: RePEc:geo:guwopa:gueconwpa~13-13-02
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    1. Becker, Randy A., 2005. "Air pollution abatement costs under the Clean Air Act: evidence from the PACE survey," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 144-169, July.
    2. Buchanan, James M & Tullock, Gordon, 1975. "Polluters' Profits and Political Response: Direct Controls Versus Taxes," American Economic Review, American Economic Association, vol. 65(1), pages 139-147, March.
    3. Fernando Broner & Paula Bustos & Vasco Carvalho, 2011. "Sources of comparative advantage in polluting industries," Economics Working Papers 1331, Department of Economics and Business, Universitat Pompeu Fabra, revised Dec 2019.
    4. Randy Becker & Vernon Henderson, 2000. "Effects of Air Quality Regulations on Polluting Industries," Journal of Political Economy, University of Chicago Press, vol. 108(2), pages 379-421, April.
    5. Eli Berman & Linda T. M. Bui, 2001. "Environmental Regulation And Productivity: Evidence From Oil Refineries," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 498-510, August.
    6. Deborah Aiken & Rolf Färe & Shawna Grosskopf & Carl Pasurka, 2009. "Pollution Abatement and Productivity Growth: Evidence from Germany, Japan, the Netherlands, and the United States," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(1), pages 11-28, September.
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    More about this item

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • F18 - International Economics - - Trade - - - Trade and Environment
    • F64 - International Economics - - Economic Impacts of Globalization - - - Environment
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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