Volume 71 | Issue 5 | Year 2025 | Article Id. IJMTT-V71I5P105 | DOI : https://doi.org/10.14445/22315373/IJMTT-V71I5P105
Received | Revised | Accepted | Published |
---|---|---|---|
21 Mar 2025 | 26 Apr 2025 | 15 May 2025 | 28 May 2025 |
The forestry emissions and value-added in the Ranchi region of interest are analyzed from 2001 to 2023, utilizing the Mann-Kendall test, the Sequential Mann-Kendall test, Pearson’s Correlation Coefficients, and the Autoregressive Integrated Moving Average model. Trend analysis showed a positive increase in forestry greenhouse gas and carbon emissions at a 5% significance level. In comparison, forestry value-added exhibited a positive increasing trend at a 1% significance level. Based on the result of the correlation analysis, the forestry greenhouse gas and carbon emissions are positively correlated with the forestry value-added, with a correlation coefficient of 0.43 at a 5% significance level. The best accurate model for predicting forestry emissions and value added is ARIMA (1,1,0). The trend analysis of forecasted forestry emissions and value-added indicates a significant positive upward trend in both greenhouse gas and carbon emissions from forestry and the value added from the forestry sector in Ranchi, Jharkhand. This trend is projected from 2024 to 2050 and is significant at a 1% significance level.
Forestry greenhouse gas emissions, Forestry carbon emissions, Forestry value-added, ARIMA model.
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