Ageing population and economic growth nexus in Bangladesh: evidence from an endogenous growth model

Mamun, Shamsul Arifeen Khan and Rahman, Mohammad Mafizur and Khanam, Rasheda (2017) Ageing population and economic growth nexus in Bangladesh: evidence from an endogenous growth model. In: 1st International Conference on Energy, Finance and the Macroeconomy (ICEFM-2017) , 22-24 Nov 2017, Montpellier, France.

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This paper examines short-run and long-run relationship between ageing population and economic growth in Bangladesh using time series data for the period of 1972-2015. We employ bivariate endogenous growth model, ARDL bounds test and Johensen test to investigate the relationship between the population aged 65 years and above, and per capita gross domestic product (GDP). The study has found that there is a long-run positive relationship between the aging population and per capita real GDP. The relationship runs from aging population to per capita real GDP, given that, there is an increasing capital formation process in the economy. Therefore, elderly population is not a matter of concern for Bangladesh as long as per capita capital formation has been greater than that of per capita ageing population.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Speech)
Refereed: Yes
Item Status: Live Archive
Additional Information: No evidence of copyright restrictions preventing deposit of Accepted version.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Commerce
Date Deposited: 22 Feb 2018 06:01
Last Modified: 31 May 2018 06:05
Uncontrolled Keywords: Bangladesh; ageing population; economic growth; time series analysis; cointegration analysis
Fields of Research : 14 Economics > 1402 Applied Economics > 140202 Economic Development and Growth
14 Economics > 1403 Econometrics > 140305 Time-Series Analysis
Socio-Economic Objective: B Economic Development > 91 Economic Framework > 9199 Other Economic Framework > 919999 Economic Framework not elsewhere classified
C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified

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