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Using population projections in climate change analysis

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  • Daniel Rozell

    (Stony Brook University)

Abstract

The two leading sources of long-range population projections, the United Nations (UN) and the International Institute for Applied Systems Analysis (IIASA), currently disagree on the most likely end-of-the-century world population by over two billion people. Because climate change policy models are influenced by population uncertainty, this poses an underappreciated problem for analysts. Furthermore, long-range population projections have not been predictably stable over time and climate change policy models have not consistently used one set of population projections. This only increases the difficulty of comparing research results. Comparing the UN and IIASA population projections, the UN’s probabilistic population projections should be used with caution as they tend to understate the uncertainty in long-range population forecasts. Currently, the IIASA scenario projections are better suited to long-range climate change policy analysis. As a final recommendation, a simple demographic sub-model is proposed for use in cost-benefit climate change integrated assessment models that performs better than current alternatives.

Suggested Citation

  • Daniel Rozell, 2017. "Using population projections in climate change analysis," Climatic Change, Springer, vol. 142(3), pages 521-529, June.
    • Handle: RePEc:spr:climat:v:142:y:2017:i:3:d:10.1007_s10584-017-1968-2
    DOI: 10.1007/s10584-017-1968-2
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    1. Liddle, Brantley, 2013. "Urban density and climate change: a STIRPAT analysis using city-level data," Journal of Transport Geography, Elsevier, vol. 28(C), pages 22-29.
    2. Mouratiadou, Ioanna & Biewald, Anne & Pehl, Michaja & Bonsch, Markus & Baumstark, Lavinia & Klein, David & Popp, Alexander & Luderer, Gunnar & Kriegler, Elmar, 2016. "The impact of climate change mitigation on water demand for energy and food: An integrated analysis based on the Shared Socioeconomic Pathways," Environmental Science & Policy, Elsevier, vol. 64(C), pages 48-58.
    3. Wolfgang Lutz & Warren Sanderson & Sergei Scherbov, 2001. "The end of world population growth," Nature, Nature, vol. 412(6846), pages 543-545, August.
    4. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    5. Jones, Donald W., 1991. "How urbanization affects energy-use in developing countries," Energy Policy, Elsevier, vol. 19(7), pages 621-630, September.
    6. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    7. Kerri Smith, 2008. "The population problem," Nature Climate Change, Nature, vol. 1(806), pages 72-74, June.
    8. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    9. Liddle, Brantley, 2014. "Impact of population, age structure, and urbanization on carbon emissions/energy consumption: Evidence from macro-level, cross-country analyses," MPRA Paper 61306, University Library of Munich, Germany.
    10. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    11. Hamilton, Clive & Turton, Hal, 2002. "Determinants of emissions growth in OECD countries," Energy Policy, Elsevier, vol. 30(1), pages 63-71, January.
    12. Francesco Billari & Rebecca Graziani & Eugenio Melilli, 2014. "Stochastic Population Forecasting Based on Combinations of Expert Evaluations Within the Bayesian Paradigm," Demography, Springer;Population Association of America (PAA), vol. 51(5), pages 1933-1954, October.
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    2. Gerlagh, Reyer & Jaimes, Richard & Motavasseli, Ali, 2017. "Global Demographic Change and Climate Policies," Other publications TiSEM 7a4ee2a9-e025-4ec0-8bc8-f, Tilburg University, School of Economics and Management.
    3. Guillaume Rohat, 2018. "Projecting Drivers of Human Vulnerability under the Shared Socioeconomic Pathways," IJERPH, MDPI, vol. 15(3), pages 1-23, March.

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