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Path Analysis is the statistical technique used to examine causal relationships between two or more variables; the technique was used to develop an exploratory Path model of global warming, using Carbon dioxide (CO2) emission as a surrogate. Some factors which are assumed to have some causal relationship with CO2 emission were considered. The correlation analysis result shows significant relationships between CO2 emission and the selected factors which include; Energy consumption, Manufacturing output, Industrial output and Gross domestic product (GDP), at 5% significant level with the following correlation coefficients; =0.892, ==0.935, ==0.986, = 0.908 respectively). Path model developed shows that, energy consumption, manufacturing output and industrial output have both direct and indirect effects on global warming while GDP has only direct effect on global warming. This is a clear indication that GDP of any country could give an insight to the level of CO2 being emitted by that country.

Path Modeling of Global warming with CO2 Emission as a Surrogate