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Purpose: This study examines the impact of institutional quality (INQ) and human capital creation (HCC) on economic growth (EG) linkage in Bangladesh using an ARDL approach. Design/methodology/approach: This study uses time-series annual data over the period 1990–2019. It formulates an INQ index based on international country risk guide (ICRG) data, employs public education outlay and expenditure on health data each as a portion of real gross domestic product (GDP) to measure HCC, while an increase in real GDP is used as a proxy for EG. It employs the ARDL technique and Toda–Yamamoto (T-Y) causality check to realize the study. Findings: The ARDL analysis divulges that the variables have a long-run association; INQ affects long-run EG positively; expenditure on health stimulates EG rate in the long run, but does not impact the latter in the short-run; whilst government spending on education impacts long-term EG rate negatively but positively in the short-term. The T-Y causality test results reveal a feedback relationship between INQ and EG, and one-way causation from health expenditure to EG rate, and education outlay to EG rate and authenticate the ARDL estimation results. Originality/value: The study is original. The novelty of the study is to employ an INQ index using the ICRG data on 12 different components which are converted into a single index through principal component analysis. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2021-0732 [ABSTRACT FROM AUTHOR]

Purpose: The study attempts to establish the relationship between demographic dividend and GDP growth rate by utilising panel data from 1990 to 2017 in Bangladesh, India, Pakistan, Nepal and Sri Lanka. Design/methodology/approach: This study employs the pooled OLS model, using data from the World Bank's database for the period 1990–2017 for five selected South Asia Association for Regional Cooperation (SAARC) countries. Findings: The results reveal that demographic dividend affects economic growth in Bangladesh, India, Nepal, Sri Lanka and Pakistan, thereby supporting the demographic dividend hypothesis. For the country-specific analysis, it was also observed that demographic dividend impacts the economic growth of the five SAARC countries. In addition, growth of gross capital formation is highly significant for both aggregated and country-specific analyses. However, economic growth is unaffected by trade openness and unemployment rates. Moreover, the rate of labour force participation is negatively related to the GDP growth rate in the aggregated model. Originality/value: This paper bestows insight into the fact that the impact of demographic dividend on the economic growth of the SAARC regions cannot be fully actualised if the workforce are underutilised. This region needs to adopt appropriate policies to strengthen the considerable benefits of demographic dividend on the economic growth. [ABSTRACT FROM AUTHOR]

Purpose - This study aims to examine the impact of external debt on economic growth in Bangladesh within a broader macroeconomic scenario. Design/methodology/approach - In the process of doing so, it assesses the empirical cointegration, long-run and short-run dynamics of the concerned variables for the period of 1980-2017 applying the autoregressive distributed lag (ARDL) bounds testing approach to cointegration. First, debt-gross domestic product linkage explores the impact of external debt impact on economic growth using a set of macro and country risk variables, and then this linkage is also analyzed along with a newly formed macroeconomic policy (MEP) variable using principal component analysis. Findings - The study results reveal the negative impact of external debt on GDP growth, but the larger positive impact of MEP index indicates that this adverse effect of debt can be mitigated or even nullified by sound MEP and appropriate human resource policy. Originality/value - The dynamic effects of different shocks (external debt and macro policy variable) on economic growth by vector autoregression impulse response function also confirm our ARDL findings. [ABSTRACT FROM AUTHOR]