A prediction model for CO2 emission from manufacturing industry and construction in Malaysia

Human-induced climate change is one of the global threatening issue which caused by greenhouse gasses emission. This issue has brought the awareness from various organization, research community and government since 1900s. One of the main contributors caused CO
2
emission are industry development. Rapid industry development can improve the economy of a country with the consequences of heavy CO
2
emissions. This paper present a regression model for CO
2
emission from manufacturing industry and construction with GDP, electricity production and consumption as well as FDI income and net inflow as the predictor variables. The results of the prediction model with the measured data showed a high correlation coefficient (adjusted R
²
=96.75%) with predicted R
²
=94.19%, indicating the model's accuracy and efficiency. These results are encouraging and accurate and can be used in early warning of the population to comply with air quality standards.