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- Title
Determination with Gene Expression Programming of the Relationship Between Socio-Economic Variables and Greenhouse Gas Emissions in Turkey.
- Authors
ŞENCAN, Derya; DİKMEN, Erkan
- Abstract
One of the most important indicators of economic development is environmental quality. One of the most important sources of environmental pollution and climate change is greenhouse gas emissions. In this work, a new approach based on Gene Expression Programming (GEP) was used to forecast greenhouse gas (GHG) emissions depending on energy consumption, economic development (GDP), and population. The reliability of the GEP model was determined using several statistical indicators. In the relationship between energy consumption-GDP- population and GHG emissions, R2, MAPE, and RMSE values were found as 0.99337, 0.06987, and 7.1355, respectively. Sensitivity analysis seen that energy consumption have the highest effect on greenhouse gas emissions. The results obtained, it is showing that Gene Expression Programming can be successfully used to model greenhouse gas emissions.
- Publication
Karamanoglu Mehmetbey University Journal of Social & Economic Research / Karamanoğlu Mehmetbey Üniversitesi Sosyal ve Ekonomi̇k Araştırmalar Dergi̇si, 2022, Vol 24, Issue 42, p81
- ISSN
2147-7833
- Publication type
Article