A panel data estimation of the determinants of life expectancy in selected SAARC countries

• Autorzy: Jafrin Nusrat , Masud Muhammad Mehedi , Saif Abu Naser Mohammad , Mahi Masnun , Khanam Moriam

Identyfikatory

DOI

10.37190/ord210404

• Języki publikacji: EN

Abstrakty

EN

The precarious and decisive dynamics concerning the health of the population of South Asian Association for Regional Cooperation (SAARC) countries has called for further inquiry into the determinants of life expectancy (LE) in this region. Hence, the current paper employs the panel data estimation methods to analyse the economic, social, demographic, environmental, and technological factors influencing LE in five SAARC countries. These countries (Bangladesh, India, Pakistan, Nepal, and Sri Lanka) are selected as they are favoured by the country similarity theory and other identical contexts. Available secondary data from 2000 to 2016 were obtained from the World Bank and UNDP databases for the specfic countries. The results reveal that the mean year of schooling and sanitation services are significant positive predictors of life expectancy at birth (LEAB). However, the total fertility rate, urban population, and CO2 emissions negatively influence life expectancy. Furthermore, the impact of health expenditure on life expectancy is significant but negative, which is unconventional. On the other hand, other independent variables, such as GDP, gross capital formation, internet usage, and mobile cellular subscription turn out to be insignificant predictors of LEAB. Our aggregate findings reveal some common factors on which the governments of SAARC countries can collaborate to improve the LEAB of the region while identifying some idiosyncratic factors that require tailored attention of the governments and policymakers of the respective nations.

Słowa kluczowe

EN

life expectancy; economic; social; demographic; environmental; technological; SAARC countries

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2021
• Tom: Vol. 31, No. 4
• Strony: 69--87
• Opis fizyczny: Bibliogr. 66 poz., rys.

Twórcy

autor

Jafrin Nusrat

• Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur, Wilayah Persekutuan 50603, Malaysia
• Department of Population Sciences, Faculty of Social Sciences, University of Dhaka, Bangladesh

autor

Masud Muhammad Mehedi

• Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur, Wilayah Persekutuan 50603, Malaysia
• Department of Business Administration, Daffodil International University, Dhaka, Bangladesh

autor

Saif Abu Naser Mohammad

• School of Business and Economics, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
• Department of Management Information Systems, Faculty of Business Studies, University of Dhaka, Nilkhet Rd., Dhaka 1000, Bangladesh

autor

Mahi Masnun

• Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur, Wilayah Persekutuan 50603, Malaysia

autor

Khanam Moriam

• Institute of Health Economics, University of Dhaka, Nilkhet Rd., Dhaka 1000, Bangladesh

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).