An ARDL Method for Evaluating Bangladesh’s Economic Growth Concerning Female Secondary Education
Article
Dhar, Soma and Sarker, Tapan. 2024. "An ARDL Method for Evaluating Bangladesh’s Economic Growth Concerning Female Secondary Education." Vision: The Journal of Business Perspective. https://doi.org/10.1177/09722629241253750
Article Title | An ARDL Method for Evaluating Bangladesh’s Economic Growth Concerning Female Secondary Education |
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Article Category | Article |
Authors | Dhar, Soma and Sarker, Tapan |
Journal Title | Vision: The Journal of Business Perspective |
Number of Pages | 12 |
Year | 2024 |
Publisher | SAGE Publications Ltd |
Place of Publication | India |
ISSN | 0972-2629 |
Digital Object Identifier (DOI) | https://doi.org/10.1177/09722629241253750 |
Web Address (URL) | https://journals.sagepub.com/doi/10.1177/09722629241253750 |
Abstract | The purpose of this study is to investigate the association between Bangladesh’s economic growth and female secondary education. For this reason, the effects of female secondary education, female labour force participation rate, and female fertility rate on Bangladesh’s Real GDP growth rate are investigated over the years 1995–2021, using a quantitative approach. A long-term relationship between the variables is demonstrated by the Auto Regressive Distributive Lag (ARDL) Cointegration Model, wherein the fertility rate is negatively significant and the female participation rate in the labour force and secondary education are positively significant on the real GDP growth rate. The study uses the Error Correction Model (ECM) to record the speed of adjustment. There is short-run adjustment throughout the entire system, as indicated by the statistically significant and theoretically correct sign of the error correction term coefficient. A more thorough examination is necessary as the Causality test reveals an unanticipated unidirectional association between female secondary education and economic growth. |
Keywords | ARDL Model; Female Secondary Education; Real GDP Growth Rate; Female Labour Force Participation Rate; Fertility Rate |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 350202. Finance |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Chittagong, Bangladesh |
School of Business |
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