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Using Grey Models for Forecasting Vietnam’s Carbon Dioxide Emissions in Renewable Energy Consumption and Economic Gr...
ISSN: 2348 - 2273
Publisher: author
Using Grey Models for Forecasting Vietnam’s Carbon Dioxide Emissions in Renewable Energy Consumption and Economic Gr...
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 2
Article Articles Score: 2
Article Accessibility Score: 2
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-1802
Publisher: International Journal Of Electrical Electronics & Computer..
International Journal Address (IAA):
IAA.ZONE/234853072273
eISSN
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2348 - 2273
VALID
ISSN Validator
Abstract
This paper analyzes and forecasts of carbon dioxide (CO2) emissions, renewable energy consumption, and gross domestic product (GDP) for Vietnam during the period of 2010 to 2019. These three variables are important factors that affect the energy efficiency, economic growth as well as climate change in Vietnam. Thus, this paper employs the grey prediction models including GM (1,1) and DGM (1,1) to predict three variables. According to forecasting results, the CO2 emissions of Vietnam will grow by 3 %, the renewable energy consumption is not increase significantly, and the GDP is forecasted to increase 5% in 2019 compared with 2010. The study provides policy makers with useful information in finding the solutions to improve energy efficiency, economic growth and environmental protection in Vietnam.
