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An Index for Climate-Induced Migration Uncertainty

Author

Listed:
  • Salisu, Sulaiman
  • Salisu, Afees

Abstract

Climate change has had a significant impact on the world, and many efforts have been made to mitigate its risks. This study aims to create a new index that measures the uncertainty surrounding migration due to climate change. To do this, the study uses a variety of international newspapers with a global readership. Although climate change has increasingly spurred migration decisions in vulnerable areas, there is still a lack of quantitative research that explores this link. This is the contribution of our study. The evidence from the index shows an upward trend in climate-induced migration decisions, especially in the last two decades, which supports the motivation behind the study. Our index has several practical applications that can be useful for future research agendas.

Suggested Citation

  • Salisu, Sulaiman & Salisu, Afees, 2023. "An Index for Climate-Induced Migration Uncertainty," MPRA Paper 119524, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:119524
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    File URL: https://mpra.ub.uni-muenchen.de/119524/1/MPRA_paper_119524.pdf
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    References listed on IDEAS

    as
    1. Richard Black & Stephen R. G. Bennett & Sandy M. Thomas & John R. Beddington, 2011. "Migration as adaptation," Nature, Nature, vol. 478(7370), pages 447-449, October.
    2. Afees Salisu & Tirimisiyu Oloko, 2023. "Climate Risk Measures - A Review," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 4(1), pages 1-4.
    3. Robert McLeman & David Wrathall & Elisabeth Gilmore & Philip Thornton & Helen Adams & François Gemenne, 2021. "Correction to: conceptual framing to link climate risk assessments and climate-migration scholarship," Climatic Change, Springer, vol. 165(3), pages 1-1, April.
    4. Robert McLeman & David Wrathall & Elisabeth Gilmore & Philip Thornton & Helen Adams & François Gemenne, 2021. "Conceptual framing to link climate risk assessments and climate-migration scholarship," Climatic Change, Springer, vol. 165(1), pages 1-7, March.
    5. Paresh Kumar Narayan & Bernard Njindan Iyke & Susan Sunila Sharma, 2021. "New Measures of the COVID-19 Pandemic - A New Time-Series Dataset," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 2(2), pages 1-13.
    Full references (including those not matched with items on IDEAS)

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    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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