Abstract:
This study explained the
influence of e conom ic growth carbon emission s, financial
development, population growth and food production on life expectancy in Bangladesh. Data
employed for t he 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 expectanc y , 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 t he 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 infrast ructure development, education, and healthcare.
