Mathematical Modelling of Public Health Expenditure and Carbon Footprint in Nigeria
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Most major rising economies are seeing a rise in health problems as a result of airborne
smog caused by carbon dioxide discharges. The situation in Nigeria is getting too
concerning, as the expense of healthcare services continues to rise as a result of
environmental problems. The purpose of this research is to determine the extent to
which investments in healthcare and social welfare have altered Nigeria's carbon
footprint. Dependent variable in this study is CO2 emissions captured by the World
Bank Development Indicators in metric tonnes, whereas the independent variables are
public healthcare spending and social welfare cost. The data for these variables are kept
in the Central Bank of Nigeria Statistical Bulletin from 2006 to 2020. Several statistical
tests are being used in the study to confirm model stability, appropriateness, and
normalcy. As a consequence, the unit root is validated at the level, and additional
diagnostic tests show that the multiple regression model used in this work is free of
distortion, serial correlation, and hetroskedacity. As a result, the data reveal that the
predictor factors have a substantial and positive correlation with Nigeria's carbon
footprint. Further data show that healthcare costs have a considerable and beneficial
influence on carbon footprint, but social welfare spending is insignificant in this regard.
The report recommends the use of green technologies to minimize carbon emissions
and enhance the overall health of the population. As a solution, both people and the
government's health-care costs will be significantly reduced in the absence of air
pollution.
Keywords
H Social Sciences (General), HB Economic Theory