THE SUITABLE FORECASTING MODEL FOR THE CARBON DIOXIDE EMISSION IN SRI LANKA
Keywords:
CO>, Forecasting, Curve fitting, MAPEAbstract
Forecasting is used to predict future trends and changes. It is a significant way to analysis of sustainable future movements. An only a limited number of studies have been carried out on the topic of forecasting the carbon dioxide emissions in Sri Lanka. This paper aimed to find a more suitable forecasting model among the linear trend model, growth curve model, quadratic trend model, and s-curve trend model. Variable of carbon dioxide emission based on the data from 1970 to 2019. The findings were explained the quadratic trend model is a more suitable and efficient forecast model for the CO, in Sri Lanka. The findings are based on Mean Absolute Percentage Error and Adjusted R’. The researcher should explore other models to obtain the result in their future studies.