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Malthus and Climate Change: Betting on a Stable Population

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  • Kelly, David L.
  • Kolstad, Charles D.

Abstract

A standard assumption in integrated assessment models of climate change is that population and productivity are growing, but at a decreasing rate. We explore the signifcance of the assumption of population and productivity growth for greenhouse gas abatement. After all, there has been no long run slow down in the growth of productivity over the past few centuries, and the rate of population growth has actually been increasing for the past 19 centuries. Even if either of these growth rates were expected to slow, by how much is subject to great uncertainty. We show computationally that such continued growth greatly increases the severity of climate change. Indeed we nd that climate change is a problem in large part caused by exogenous population and productivity growth. Rapid reductions in growth make climate change a small problem; smaller reductions in growth imply climate change is a very serious problem indeed. Analogously, reductions in the growth rate of population can be effective in controlling climate change.

Suggested Citation

  • Kelly, David L. & Kolstad, Charles D., 1999. "Malthus and Climate Change: Betting on a Stable Population," University of California at Santa Barbara, Economics Working Paper Series qt9ks625sk, Department of Economics, UC Santa Barbara.
    • Handle: RePEc:cdl:ucsbec:qt9ks625sk
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    References listed on IDEAS

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    1. Kolstad, Charles D., 1996. "Learning and Stock Effects in Environmental Regulation: The Case of Greenhouse Gas Emissions," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 1-18, July.
    2. Stephen C Peck & Thomas J. Teisberg, 1992. "CETA: A Model for Carbon Emissions Trajectory Assessment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 55-78.
    3. Charles I. Jones, 1995. "Time Series Tests of Endogenous Growth Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 495-525.
    4. Kelly, David L. & Kolstad, Charles D., 1999. "Bayesian learning, growth, and pollution," Journal of Economic Dynamics and Control, Elsevier, vol. 23(4), pages 491-518, February.
    5. Weitzman Martin L., 1994. "On the Environmental Discount Rate," Journal of Environmental Economics and Management, Elsevier, vol. 26(2), pages 200-209, March.
    6. Alan Manne & Richard Richels, 1995. "The Greenhouse Debate: Econonmic Efficiency, Burden Sharing and Hedging Strategies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-38.
    7. Harberger, Arnold C, 1998. "A Vision of the Growth Process," American Economic Review, American Economic Association, vol. 88(1), pages 1-32, March.
    8. Harford, Jon D., 1997. "Stock Pollution, Child-Bearing Externalities, and the Social Discount Rate," Journal of Environmental Economics and Management, Elsevier, vol. 33(1), pages 94-105, May.
    9. Harford, Jon D, 1998. "The Ultimate Externality," American Economic Review, American Economic Association, vol. 88(1), pages 260-265, March.
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