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Using index numbers for deflation in environmental accounting

Published online by Cambridge University Press:  25 October 2013

Nicholas Z. Muller
Nicholas Z. Muller*
Affiliation:
Economics Department, Middlebury College, 303 College Street, Middlebury, VT 05753, USA; and NBER. Tel: (802) 443 5918. E-mail: nicholas.muller74@gmail.com
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Abstract

Systematic trends in the general price level of goods and services are the subject of extensive measurement and significant interest among researchers, policy makers and the general public. Dynamic price measurement is also important in environmental accounting in that real measures of augmented output are required to draw inferences on sustainability. This paper computes price indices for emissions of five air pollutants in the United States. Using marginal damages, the paper computes Paasche, Laspeyres, Fisher and Tornquist index numbers for five air pollutants spanning the period 1999–2008 for use in computing real environmental accounts. Evidence of time series heterogeneity in the marginal damages is detected: marginal damages for nitrogen oxides increase by a factor of two and marginal damages for NH3 decrease by one-half. The analysis finds that nominal gross damages from air pollution in the United States decrease by 40 per cent between 1999 and 2008.

Type
Research Article
Information
Environment and Development Economics , Volume 19 , Issue 4 , August 2014 , pp. 466 - 486
Copyright
Copyright © Cambridge University Press 2013 

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References

Abraham, K.G. and Mackie, C. (2006), ‘A framework for nonmarket accounting’, in Jorgensen, D.W., Landefeld, J.S. and Nordhaus, W.D. (eds), A New Architecture for the U.S. National Accounts, NBER Studies in Income and Wealth, Vol. 66, Chicago, IL: University of Chicago Press.Google Scholar
Arrow, K.J., Dasgupta, P., Goulder, L.H., Mumford, K.J., and Oleson, K. (2012), ‘Sustainability and the measurement of wealth’, Environment and Development Economics 17: 317–353.CrossRefGoogle Scholar
Banzhaf, H.S. (2005), ‘Green price indices’, Journal of Environmental Economics and Management 49(2): 262–280.CrossRefGoogle Scholar
Bartelmus, P. (2009), ‘The cost of natural capital consumption: accounting for a sustainable world economy’, Ecological Economics 68: 1850–1857.CrossRefGoogle Scholar
Bell, M.L., McDermott, A., Zeger, S.L., Samet, J.M., and Domenici, F. (2004), ‘Ozone and short-term mortality in 95 US urban communities, 1987–2000’, Journal of the American Medical Association 17: 2372–2378.CrossRefGoogle Scholar
Burtraw, D., Krupnick, A., Mansur, E., Austin, D., and Farrell, D. (1998), ‘Costs and benefits of reducing air pollutants related to acid rain’, Contemporary Economic Policy XVI: 379–400.CrossRefGoogle Scholar
Cairns, R.D. (2002), ‘Green national income and expenditure’, Canadian Journal of Economics 35(1): 1–15.CrossRefGoogle Scholar
Dasgupta, P. and Maler, K.G. (2000), ‘Net national product, wealth, and social well-being’, Environment and Development Economics 5: 69–93.CrossRefGoogle Scholar
Diewert, W.E. (1993), ‘Exact and superlative index numbers’, in Diewert, W.E. and Nakamura, A.O. (eds), Essays in Index Number Theory, Vol. 1, Amsterdam: Elsevier Science Publishers.Google Scholar
Diewert, W.E. (1998), ‘Index number issues in the consumer price index’, Journal of Economic Perspectives 12(1): 47–58.CrossRefGoogle Scholar
Diewert, W.E. and Allen, R.C. (1981), ‘Direct versus implicit superlative index number formulae’, Review of Economics and Statistics 63(3): 430–435.Google Scholar
Dumagan, J.C. (2002), ‘Comparing the superlative Tornquist and Fisher ideal indexes’, Economics Letters 76: 251–258.CrossRefGoogle Scholar
Fann, N., Fulcher, C.M., and Hubbell, B.J. (2009), ‘The influence of location, source, and emission type in estimates of the human health benefits of reducing a ton of air pollution’, Air Quality Atmosphere and Health 2:169–176.CrossRefGoogle ScholarPubMed
Fisher, I. (1922), The Making of Index Numbers, Boston, MA: Houghton Mifflin.Google Scholar
Kohli, U. (2004), ‘An implicit Tornquist index of real GDP’, Journal of Productivity Analysis 21: 337–353.CrossRefGoogle Scholar
Lesser, V.M., Rawlings, J.O., Spruill, S.E., and Somerville, M.C. (1990), ‘Ozone effects on agricultural crops: statistical methodologies and estimated dose-response relationships’, Crop Science 30: 148–155.CrossRefGoogle Scholar
Muller, N.Z. (2011), ‘Linking policy to statistical uncertainty in air pollution damages’, B.E. Press Journal of Economic Analysis and Policy 11(1), Contributions, Article 32.Google Scholar
Muller, N.Z. and Mendelsohn, R. (2007), ‘Measuring the damages of air pollution in the United States’, Journal of Environmental Economics and Management 54: 1–14.CrossRefGoogle Scholar
Muller, N.Z. and Mendelsohn, R. (2009), ‘Efficient pollution regulation: getting the prices right’, American Economic Review 99(5): 1714–1739.CrossRefGoogle Scholar
Muller, N.Z., Mendelsohn, R., and Nordhaus, W.D. (2011), ‘Environmental accounting for pollution in the United States economy’, American Economic Review 101: 1649–1675.CrossRefGoogle Scholar
NAS NRC (1999), Nature's Numbers, ed. Nordhaus, W.D. and Kokkelenberg, E., Washington, DC: National Academy Press.Google Scholar
Nordhaus, W.D. (1999), ‘Beyond the CPI: an augmented cost-of-living index’, Journal of Business and Economic Statistics 17(2): 182–187.Google Scholar
Nordhaus, W.D. (2006), ‘Principles of national accounting for non-market accounts’, in Jorgensen, D.W., Landefeld, J.S. and Nordhaus, W.D. (eds), A New Architecture for the U.S. National Accounts, NBER Studies in Income and Wealth, Vol. 66, Chicago, IL: University of Chicago Press.Google Scholar
Pope, C.A., Burnett, R.T., Thun, M.J., Calle, E.E., Krewski, D., Ito, K., and Thurston, G.D. (2002), ‘Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution’, Journal of the American Medical Association 287(9): 1132–1141.CrossRefGoogle ScholarPubMed
Smulders, S. (2012), ‘An arrow in the Achilles' heel of sustainability and wealth accounting’, Environment and Development Economics 17: 368–372.CrossRefGoogle Scholar
UN (2000), Handbook of National Accounting: Integrated Environmental and Economic Accounting: An Operational Manual, UN Publication ST/ESA/STAT/SER.F/78, New York: United Nations.Google Scholar
USEPA (1999), ‘The Benefits and Costs of the Clean Air Act: 1990—2010’, EPA Report to Congress, EPA 410-R-99-001, Office of Air and Radiation, Office of Policy, Washington, DC.Google Scholar
USEPA (2002), National Emissions Inventory (NEI), 1999, Washington, DC: Office of Air Quality Planning and Standards, Emissions Inventory Group; Emissions, Monitoring, and Analysis Division.Google Scholar
USEPA (2006), National Emissions Inventory (NEI), 2002, Washington, DC: Office of Air Quality Planning and Standards, Emissions Inventory Group; Emissions, Monitoring, and Analysis Division.Google Scholar
USEPA (2008), National Emissions Inventory (NEI), 2005, Washington, DC: Office of Air Quality Planning and Standards, Emissions Inventory Group; Emissions, Monitoring, and Analysis Division.Google Scholar
USEPA (2010), Regulatory Impact Analysis for the Proposed Federal Transport Rule, Docket ID No. EPA-HQ-OAR-2009-0491. Washington, DC: Office of Air and Radiation.Google Scholar
USEPA (2011), National Emissions Inventory (NEI), 2008, Washington, DC: Office of Air Quality Planning and Standards, Emissions Inventory Group; Emissions, Monitoring, and Analysis Division.Google Scholar
Viscusi, W.K. and Aldy, J.E. (2003), ‘The value of a statistical life: a critical review of market estimates throughout the world’, Journal of Risk and Uncertainty 27(1): 5–76.CrossRefGoogle Scholar
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Muller Supplementary Material

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