@article{Boontome_Therdyothin_Chontanawat_2019, title={Forecasting Carbon Dioxide Emission and Sustainable Economy: Evidence and Policy Responses}, volume={9}, url={https://econjournals.com/index.php/ijeep/article/view/7918}, abstractNote={<p class="MDPI16affiliation">Forecasting CO<sub>2</sub> emissions have been of importance as it could help the government to improve energy policies and plans. In this paper, we forecast the future carbon dioxide emission (CO<sub>2</sub>) through estimating the short and long-run causal correlation between CO<sub>2</sub> emission, economic growth (Y), oil price (OP), consumption of renewable (RE), energy (E) in Thailand for the period 1990 to 2016 using autoregressive distributed lag (ARDL) approach. The result indicates that in the long term, consumption of renewable, energy and oil price increase of 1% each decrease CO<sub>2</sub> emission by 5.66%, 14.73% and 5.07% respectively. The result of forecasting CO<sub>2</sub> emission base on variance decompositions found that in the future next 14-year decrease CO<sub>2</sub> emission 30.17%, which is higher than the target set to reduce CO<sub>2</sub> emissions by 20-25% within 2030 year. The country should be adjust the structure of energy use to reduce pollution. </p><p class="MDPI16affiliation"><strong>Keywords</strong>: Forecasting, Carbon dioxide emission, Variance Decomposition</p><p><strong>JEL Classifications</strong>: P28, Q42, Q43, Q47, Q48</p><p>DOI: <a href="https://doi.org/10.32479/ijeep.7918">https://doi.org/10.32479/ijeep.7918</a></p>}, number={5}, journal={International Journal of Energy Economics and Policy}, author={Boontome, Phatchapa and Therdyothin, Apichit and Chontanawat, Jaruwan}, year={2019}, month={Jul.}, pages={55–62} }