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The determinants of total fertility rate in selected Asian countries: an empirical study using panel data
Asef Raiyan Hoque1, Mohd Yusof Ibrahim2, Mohammad Zahirul Hoque3.
Introduction: In recent years, the variation in total fertility rate (TFR) has sparked public interest for demographic concerns on the global population shift towards an older age structure. This study aims to investigate the determi-nants of total fertility rate among Brunei, Indonesia, Malaysia and Philippines East Asian Growth Area (BIMP-EAGA) region. Methods: Our empirical study consists of data collected from the United Nations Development Report of the UNDP, World Development Indicators (WDI) of the World Bank and World Health Organization (WHO) report 2018. We investigated the socio-economic determinants of fertility rate by analyzing a panel data set consisting of 28 years from 1990-2017 of the four countries. A statistical and econometric software EViews version 10 (HIS Global Inc., Irvine, CA, USA) were used to run a Pearson’s Correlation and a multiple regression analysis by panel least squares method. To investigate the determinants of TFR we have selected five socio- economic factors, these are- Infant mortality rate (IMR), Gross National Income Per Capita, PPP (GNI), Human Development Index (HDI), percentage of population living in urban areas (URB) and lastly Female Labor Force Participation Rate (FLP). Results:Pearson’s correlation showed that a statistically significant negative relationship exists between TFR and the 3 vari-ables- GNI, URB and HDI. A statistically strong positive relationship exists between IMR and TFR. However, our results from the empirical multiple regression model indicates that there is a statistically significant negative relation-ship exists between TFR and two of the independent variables GNI and FLP. Conclusion: The results of present study showed that an increase in the national income and female labor participation rate in the workforce could result in a decrease in total fertility rate. These findings may have implications for countries national policy for planning, development and resource allocation.
Affiliation:
- Universiti Malaysia Sabah, Malaysia
- Universiti Malaysia Sabah, Malaysia
- Universiti Malaysia Sabah, Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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3 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (0.2) |
Rank |
Q4 (Medicine (all)) |
Additional Information |
SJR (0.144) |
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