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Projecting populations for major Pacific Island countries with and without COVID-19: pro-active insights for population policy

Author

Listed:
  • Sumeet Lal

    (The University of the South Pacific)

  • Rup Singh

    (The University of the South Pacific)

  • Ronal Chand

    (The University of the South Pacific)

  • Arvind Patel

    (The University of the South Pacific)

  • Devendra Kumar Jain

    (The University of the South Pacific)

Abstract

The paper projects aggregate populations of six Pacific Island countries in both pre- and post-COVID19 scenarios using a Cohort Component Method for the period 2020–2060. It uses baseline indicators resembling China and Italy’s experiences and finds that Pacific countries could experience a fatality rate between 5 and 20% due to the pandemic. It also finds that most Pacific Island countries would experience higher fatalities in the older age groups, consistent with what is being witnessed in other countries around the world. The analysis also shows that while the risk escalates for people over 50 years onward in all other sample countries, in Fiji, those in the age range of 60 years or more are at higher risk. The findings also indicate that for all countries, the fatality rate for 80 years and older is about 50%. The population projections show that Fiji will be most impacted, while others will experience around 2% initial population decline. The convergence to baseline is found to be slow (except for Tonga) in most Pacific countries. Consequently, the paper suggests a cautious approach in dealing with the current crisis.

Suggested Citation

  • Sumeet Lal & Rup Singh & Ronal Chand & Arvind Patel & Devendra Kumar Jain, 2022. "Projecting populations for major Pacific Island countries with and without COVID-19: pro-active insights for population policy," Journal of Population Research, Springer, vol. 39(2), pages 257-277, June.
  • Handle: RePEc:spr:joprea:v:39:y:2022:i:2:d:10.1007_s12546-021-09272-2
    DOI: 10.1007/s12546-021-09272-2
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    References listed on IDEAS

    as
    1. Samir K.C. & Bilal Barakat & Anne Goujon & Vegard Skirbekk & Warren C. Sanderson & Wolfgang Lutz, 2010. "Projection of populations by level of educational attainment, age, and sex for 120 countries for 2005-2050," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(15), pages 383-472.
    2. Congdon Fors, Heather, 2014. "Do island states have better institutions?," Journal of Comparative Economics, Elsevier, vol. 42(1), pages 34-60.
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    4. Tisdell, Clem, 2014. "The MIRAB Model of Small Island Economies in the Pacific and their Security Issues: A Draft," Social Economics, Policy and Development Working Papers 163698, University of Queensland, School of Economics.
    5. World Bank, 2017. "World Development Indicators 2017," World Bank Publications - Books, The World Bank Group, number 26447, December.
    6. S. Philip Morgan, 2003. "Is low fertility a twenty-first-century demographic crisis?," Demography, Springer;Population Association of America (PAA), vol. 40(4), pages 589-603, November.
    7. Tisdell, Clem, 2014. "The MIRAB Model of Small Island Economies in the Pacific and their Security Issues: Revised Version," Social Economics, Policy and Development Working Papers 165087, University of Queensland, School of Economics.
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    Cited by:

    1. Devendra Kumar Jain & Rup Singh & Henali Kumar & Nikeel Kumar & Arvind Patel, 2022. "Why does currency denomination in external liabilities of small island developing states matter? Evidence from Fiji," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 9(3), pages 447-464, September.

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    More about this item

    Keywords

    South Pacific population projection; Cohort component model; Population policy; COVID-19 Impact in the South Pacific;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy

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