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Assessing the Employment Impacts of Environmental and Natural Resource Policy

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Abstract

This paper provides an introductory guide for environmental andresource economists to methods of assessing the impact of environmentaland natural resource policy on employment. It examines five basicapproaches to evaluating the effect of a policy action on employment:1) supply and demand analysis of the affected sector; 2) partialequilibrium analysis of multiple markets; 3) fixed-price, generalequilibrium simulations (input-output (I-O) and social accounting matrix (SAM) multiplier models); 4) non-linear, general equilibriumsimulations (Computable General Equilibrium (CGE) models); and 5) econometric estimation of the adjustment process, particularly timeseries analysis. The basic modeling structure and data requirementsfor each of these approaches are described. Simple examples of theirapplication to evaluation of environmental and natural resourcepolicy are developed and the relative merits and applicability of each are discussed.

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References

  • Abler, D. G., A. Rodriguez and J. S. Shortle (1999), ‘Parameter Uncertainty in CGE Modeling of the Environmental Impacts of Economics Policies’, Environmental and Resource Economics 14, 75–94.

    Article  Google Scholar 

  • Africa News (2001), ‘South Africa Ban on Plastic Bags Delayed’, June 22, Business Day, News, Documents and Commentary.

  • Alward, G.S. and C.J. Palmer (1983), ‘IMPLAN:An Input-output Analysis System for Forest Service Planning’, Proceedings of the First North American Conference of Forest Sector Modeling. Oxford: AB Academic Publishers.

    Google Scholar 

  • Berck, P., C. Costello, L. Fortmann and S. Hoffmann (2000), ‘Poverty and Employment in Timber-Dependent Counties’. Resources for the Future Discussion Paper 00-52. Washington, DC.

  • Berck, P., E. Golan, B. Smith, J. Barnhart and A. Dabalen (1999), ‘Dynamic Revenue Analysis for California’, for the California Department of Finance. Available at http://www.dof.ca.gov/html/fs_data/dyna-rev/dynrev.htm (accessed 31 January 2002).

  • Boardman, A., D. Greenberg, A. Vining and D. Weimer (1996), Cost-Benefit Analysis: Concepts and Practices. Upper Saddle River, New Jersey: Prentice Hall.

    Google Scholar 

  • Bulmer-Thomas, V. (1982), Input-output Analysis in Developing Countries: Sources, Methods, and Applications. New York: Wiley.

    Google Scholar 

  • British Columbia, Ministry of Forests (2002), Forest Renewal Plan. www.gov.bc.ca/for (accessed 3 February 2002).

  • Brown, S. J., N. E. Coulson and R. Engle (1992), ‘On the Determination of Regional Base and Regional Base Multipliers’, Regional Science and Urban Economics 22, 619–635.

    Article  Google Scholar 

  • Burton, D. and P. Berck (1996), ‘Statistical Causation and National Forest Policy in Oregon’, Forest Science 42, 86–92.

    Google Scholar 

  • Dervis, K., J. de Melo and S. Robinson (1982), General Equilibrium Models for Development Policy. Cambridge, MA: Cambridge University Press.

    Google Scholar 

  • Estima (2002), CATS in RATS (Cointegration Analysis Software). Evanston, Illinois. www.estima.com/catsinfo.htm (accessed 31 January 2002).

  • Finland, Ministry of Agriculture and Forestry (1999), Finland's National Forest Programme 2010. Publications 2/1999. www.mmm.fi/KMO (accessed 10 December 2001).

  • Hamilton, J.D. (1994), Time Series Analysis. Princeton, New Jersey: Princeton University Press.

    Google Scholar 

  • Hendry, D. F. and J. F. Richard (1997), The Econometric Analysis of Economic Time Series. Cheltenham, U.K.: Elgar.

    Google Scholar 

  • Hoffmann, S., S. Robinson and S. Subramanian (1996), ‘The Role of Defense Cuts in the California Recession: Computable General Equilibrium Models and Interstate Factor Mobility’, Journal of Regional Science 36, 571–595.

    Article  Google Scholar 

  • Isard, W., C. L. Choquill, J. Kissin, R. H. Seyfarth and R. Tatlock (1972), Ecologic-Economic Analysis for Regional Development. New York: The Free Press.

    Google Scholar 

  • Isard, W., I. J. Azis, M. P. Drennan, R. E. Miller, S. Salzman and E. Thorbecke (1998), Methods of Interregional and Regional Analysis. Brookfield, Vermont: Ashgate Publishing Company.

    Google Scholar 

  • Johanssen, S. (1995), ‘Likelihood-based Inference’, in Cointegrated Vector Auto-Regressive Models. Oxford, England: Oxford University Press.

    Google Scholar 

  • Jorgenson, D. and P. J. Wilcoxen (1990), ‘Intertemporal General Equilibrium Modeling of U.S. Environmental Regulation’, Journal of Policy Modeling 12, 1–30.

    Article  Google Scholar 

  • Kennedy, P. (1998), A Guide to Econometrics. Cambridge, MA: MIT Press.

    Google Scholar 

  • Kraybill, D. S. and J. H. Dorfman (1992), ‘A Dynamic Intersectoral Model of Regional Economic Growth’, Journal of Regional Science 32, 1–17.

    Article  Google Scholar 

  • Krikelas, A. C. (1992), ‘Why Regions Grow: A Review of Research on the Economic Base Model’, Federal Reserve Bank of Atlanta Economic Review 77, 16–29.

    Google Scholar 

  • Leontief, W. (1970), ‘Environmental Repercussions and Economic Structure: An Input-Output Approach’, Review of Economics and Statistics 52, 262–271.

    Article  Google Scholar 

  • Löfgren, H., R. L. Harris and S. Robinson (2001), ‘A Standard Computable General Equilibrium (CGE) Model in GAMS’. Trade and Macroeconomics Division Discussion Paper 75, International Food Policy Research Institute. Washington, D.C. www.ifpri.cgiar.org (accessed 15 February 2002).

    Google Scholar 

  • McKitrick, R. R. (1998), ‘The Econometric Critique of Computable General Equilibrium Modeling: The Role of Functional Forms’, Economic Modeling 15, 543–573.

    Article  Google Scholar 

  • Miller, R. E. and P. C. Blair (1985), Input-0utput Analysis: Foundations and Extensions. Englewood Cliffs, New Jersey: Prentice-Hall, Inc.

    Google Scholar 

  • Minnesota IMPLAN Group Inc. Stillwater, Minn. www.implan.com (accessed 29 January 2002).

  • Pan, X. and S. Kraines (2001), ‘Environmental Input-Output Models for Life-Cycle Analysis’, Environmental and Resource Economics 20, 61–72.

    Article  Google Scholar 

  • Partridge, M. D. and D. Rickman (1998), ‘Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal’, International Regional Science Review 21, 205–248.

    Article  Google Scholar 

  • Pyatt, G. and J. I. Round (eds.) (1995), Social Accounting Matrices, A Basis for Planning. Washington, DC: The World Bank.

    Google Scholar 

  • Regional Economic Models, Inc., http://www.policyinsight.com (accessed 2 Feb. 2002).

  • Rose, A. (1995), ‘Input-Output Economics and Computable General Equilibrium Models’, Structural Change and Economic Dynamics 6, 295–304.

    Article  Google Scholar 

  • Robinson, S. and D. W. Holst (1987), ‘Macroeconomic Structure and Computable General Equilbirium Models’. University of California at Berkeley Department of Agricultural and Resource Economics Working Paper 450.

  • Sadoulet, E. and A. de Janvry (1995), Quantitative Development Policy Analysis. Baltimore, Maryland: Johns Hopkins University Press.

    Google Scholar 

  • Sample, A. V. and D. C. Le Master (1992), ‘Economic Effects of Northern Spotted Owl Protection’, Journal of Forestry 90, 31–35.

    Google Scholar 

  • Schaffer, W. A. (1999), ‘Regional Impact Models’, in Regional Research Institute, West Virginia University, Web Book of Regional Science. www.rri.wvu.edu/regscbooks.htm (accessed 30 January 2002).

  • Sunday Telegraph (2000), ‘Tax on Pollution Is Threat to Seed Firms’, by Jo Knowsley. London: February 17, p. 9.

  • Sunday Times (2001), ‘Bosses Fume as They Count Cost of Energy Tax’, by Terry Murden. London: April 1, Business.

  • Tanzania Ministry of Natural Resources and Tourism (1998), National Forestry Policy. www.leat.or.tz/publications (accessed 10 December 2002).

  • The Journal (1999), ‘1,500 Jobs Threatened by Energy Tax Burden’, by Gordon Morris. Newcastle, UK: September 17, Business News p. 45.

  • U.S. Congress (1944), ‘Sustained Yield Forest Management Act,’ Ch. 146, 58 Stat. 132.

  • U.S. Dept. of Commerce, Bureau of Economic Analysis (2002), ‘Regional Input-Output Modeling System (RIMSII)’.www.bea.doc.gov/bea/regional/rims/brfdesc.htm (accessed 29 January 2002).

  • U.S. Dept. of Labor, Bureau of Labor Statistics (2002), ‘Covered Employment and Wages (ES-202) Series’. www.bls.gov/cew/cewnote.htm (accessed 30 January 2002).

  • West, G. R. (1988), ‘GRIMP, Input-Output Analysis Computer Program. Versions 6.0. User's Reference Manual’. St. Lucia, Australia: University of Queensland, Department of Economics.

    Google Scholar 

  • Xie, J. (2000), ‘An Environmentally Extended Social Accounting Matrix: Conceptual Framework and Application to Environmental Policy Analysis in China’, Environmental and Resource Economics 16, 391–406.

    Article  Google Scholar 

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Berck, P., Hoffmann, S. Assessing the Employment Impacts of Environmental and Natural Resource Policy. Environ Resource Econ 22, 133–156 (2002). https://doi.org/10.1023/A:1015531702905

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