Document Type
Master's Culminating Experience
Publication Date
1995
Abstract
Economic- air pollution models have been developed using an econometrics regression approach for the ambient air concentration levels of total particulate matter (TPM) ,, I960- 1990, sulfur oxide (SOx), 1962-1992, and carbon monoxide (CO), 1970-1992. There are some difficulties in determining the explanatory variables because many variables which affect ambient air levels may also be related to others explanatory variables. Furthermore, the lack of available ambient air concentration level data is another constraint in developing the models. Yet, this study suggests that while gross domestic product per capita has increased over time, ambient air levels of TPM and SOx pollutants have fallen significantly. Ambient air levels of CO pollutant have fallen as well, but not significantly. This may be due to the very limited number of observations available in this model. The Clean Air Acts have significantly improved ambient air quality of those three pollutants through reducing emission rates, emission per quantity of the total output (i.e. GDP). On the other hand increase in population has significantly increased pollution.
Repository Citation
Yunus, M. R.
(1995). Economic- Air Pollution Models: An Econometrics Regression Approach. .
https://corescholar.libraries.wright.edu/econ_student/95
