American
International
University-
Bangladesh

Students & Supervisors

Abstract

Introduction It is critical to comprehend the complex interplay between economic development and health to pursue sustainable development. Bangladesh makes a strong case study for this kind of research since it is a nation that is working toward improvement on several fronts. In the context of Bangladesh, this study intends to explore the statistical relationships between measures of health, as represented by Sustainable Growth Goal 3 (SDG 3), and indicators of economic growth, as represented by SDG 8. Methodology We use a strong statistical approach that includes data collecting, analysis, and modeling to meet our goals. Reputable organizations like the United Nations, World Bank, and Bangladesh Bureau of Statistics provide us with pertinent statistics. Key variables include immunization coverage (IC), economic indicators like GDP growth rate, and health indicators like maternal mortality rate (MMR), infant mortality rate (IMR), neonatal mortality rate (NMR), post-neonatal mortality rate (PNMR), under-5 mortality rate (UMR), and child mortality rate (CMR). We look at the correlations between these factors over the past 20 years using regression analysis and other statistical methods. Results The first table presents the findings from Kolmogorov-Smirnov tests that were designed to assess the normalcy assumptions for a variety of variables. GDP growth rate, MMR, IMR, NMR, UMR, and CMR are among the variables with p-values more than 0.05, which indicates that they follow a normal distribution. On the other hand, PNMR and IC have p-values that are less than or equal to 0.05, which indicates a substantial departure from normality. Regression results are shown in Table 2, which also includes t-statistics, p-values, and coefficients for each variable in the model. The estimated effect of independent factors on the dependent variable is represented by coefficients, and the significance of those effects is measured by t-statistics, where larger absolute values denote greater significance. P-values show how likely it is to get findings if the null hypothesis, which states that there is no impact, is correct. MMR and CMR, in particular, show coefficients with p-values < 0.05 and t-statistics > 2, indicating substantial impacts at the 1% level. Similarly, significance at the 5% level is shown by the NMR coefficient with a t-statistic > 2 and p-value < 0.05. On the other hand, based on their t-statistics and p-values, PNMR and IC do not have statistically significant impacts on the dependent variable. These results shed light on the relationships between variables and help understand the factors that affect the regression model's dependent variable. Conclusion The inherent relationship between economic growth and health in Bangladesh is highlighted by our research. Through our meticulous statistical research, we clarify these connections and offer insightful information to development practitioners, stakeholders, and policymakers. In addition to enhancing well-being, addressing health issues promotes sustainable development and economic progress. Going forward, achieving the goal of prosperity and well-being in Bangladesh and beyond would require comprehensive strategies that combine economic and health objectives.

Keywords

Publication Details

• Type of Publication: Conference
• Conference Name: 23rd International Mathematics Conference
• Date of Conference: 16/05/2024 - 17/05/2024
• Venue: Department of Mathematics, University of Rajshahi, Bangladesh