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This study utilized annual carbon dioxide (CO2) emission data in Jharkhand from petrolium fuel combustion from 2004-05 to 2015-16 to model and predict CO2 using Box- Jenkins ARIMA approach. The article represents ARIMA (0, 2, 1) model having least normalized Bayesian Information Criterion (BIC). The diagnostic tests indicate that the proposed model is stable and adequate. Present research suggests that ARIMA (0, 2, 1) model is the most stable and appropriate model for prediction and forecasting annual total CO2 emission in Jharkhand. Result of this study shows increasing trend of CO2 emission in Jharkhand and exposing the challenges regarding climate issue.
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Cite Article:
"Prediction of Carbon dioxide Emission in Jharkhand using ARIMA Models.", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 3, page no.446 - 451, March-2024, Available :http://www.ijrti.org/papers/IJRTI2403065.pdf
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000205062
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator