Impacts of Economic Growth and Carbon Emissions on Life Expectancy in Bangladesh: A VECM approach

Abstract

This study explained the influence of economic growth, carbon emissions, financial development, population growth and food production on life expectancy in Bangladesh. Data employed for the time span of 1974 to 2019. The Vector Error Correction Model (VECM) method is utilized to analyze the short-run and long-run correlations between variables. By utilizing the ADF test, all variables are I(1) that is variables are all stationary at first difference. By using the Johansen cointegration test found that there is at most 2 cointegrating equations in the variable by using trace test. Economic growth and financial development have a positive impact on life expectancy, whereas carbon emissions a have a negative impact. The findings suggest that policy measures should be implemented to minimize carbon emissions and slow population increase, while concurrently boosting economic growth, financial development, and food production in order to enhance the health outcomes of the population. To promote sustainable economic growth and increase public health in Bangladesh, it is recommended to implement policies such as supporting renewable energy sources and family planning services and investing in infrastructure development, education, and healthcare.