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The distributional effects of climate change. An empirical analysis

Author

Listed:
  • Haroon Mumtaz

    (Queen Mary University)

  • Angeliki Theophilopoulou

    (Brunel University London)

Abstract

The role of climate change on output has been studied extensively in the empirical literature. However, its distributional implications have received little attention. This paper attempts to fill this gap by investigating if climate shocks affect income inequality. Using a Vector Autoregression for a large cross-country panel, we identify the climate shock in the frequency domain as the shock that explains the bulkof the variance of climate variables in the long-run. An adverse climate shock is associated with an increase in measures of income inequality, affecting mostly low income households. The impact of the shock is larger in magnitude for low income, hot countries with a significant agricultural sector and low degree of adaptation to climate change.

Suggested Citation

  • Haroon Mumtaz & Angeliki Theophilopoulou, "undated". "The distributional effects of climate change. An empirical analysis," Working Papers 966, Queen Mary University of London, School of Economics and Finance.
    • Handle: RePEc:qmw:qmwecw:966
    as

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    File URL: https://www.qmul.ac.uk/sef/media/econ/research/workingpapers/2023/wp966_Dec-23.pdf
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    References listed on IDEAS

    as
    1. Anthony C. Fisher & W. Michael Hanemann & Michael J. Roberts & Wolfram Schlenker, 2012. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather: Comment," American Economic Review, American Economic Association, vol. 102(7), pages 3749-3760, December.
    2. Roberto Roson & Dominique Van der Mensbrugghe, 2012. "Climate change and economic growth: impacts and interactions," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 4(3), pages 270-285.
    3. Rehdanz, Katrin & Maddison, David, 2005. "Climate and happiness," Ecological Economics, Elsevier, vol. 52(1), pages 111-125, January.
      • Katrin Rehdanz & David J. Maddison, 2003. "Climate and Happiness," Working Papers FNU-20, Research unit Sustainability and Global Change, Hamburg University, revised Apr 2003.
    4. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    5. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2009. "Temperature and Income: Reconciling New Cross-Sectional and Panel Estimates," American Economic Review, American Economic Association, vol. 99(2), pages 198-204, May.
    6. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    7. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    8. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    9. Richard Tol, 2002. "Estimates of the Damage Costs of Climate Change. Part 1: Benchmark Estimates," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 21(1), pages 47-73, January.
    10. William Nordhaus, 2019. "Climate Change: The Ultimate Challenge for Economics," American Economic Review, American Economic Association, vol. 109(6), pages 1991-2014, June.
    11. William D. Nordhaus & Andrew Moffat, 2017. "A Survey of Global Impacts of Climate Change: Replication, Survey Methods, and a Statistical Analysis," NBER Working Papers 23646, National Bureau of Economic Research, Inc.
    12. Roberto Roson & Dominique Van der Mensbrugghe, 2012. "Climate change and economic growth: impacts and interactions," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 4(3), pages 270-285.
    13. Olivier Deschênes & Michael Greenstone, 2011. "Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US," American Economic Journal: Applied Economics, American Economic Association, vol. 3(4), pages 152-185, October.
    14. Richard Tol, 2002. "Estimates of the Damage Costs of Climate Change, Part II. Dynamic Estimates," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 21(2), pages 135-160, February.
    15. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    16. S. Nazrul Islam & John Winkel, 2017. "Climate Change and Social Inequality," Working Papers 152, United Nations, Department of Economics and Social Affairs.
    17. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
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    More about this item

    Keywords

    Climate shock; income inequality; economic growth; frequency domain identification; panel VAR.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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