Time-Based Analysis of Annual Forestry Emissions and Forestry Value-Added in Ranchi, Jharkhand for 2001-2050

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.

Authors

Publication Details

Journal
International Journal of Mathematics Trends and Technology
Published
2025-05-31
DOI
https://doi.org/10.14445/22315373/ijmtt-v71i5p105
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Time-Based Analysis of Annual Forestry Emissions and Forestry Value-Added in Ranchi, Jharkhand for 2001-2050

Uma Shanker Singh, Anamol Kumar Lal, Amit Bara
International Journal of Mathematics Trends and Technology
Forest Management and Policy
article

Time-Based Analysis of Annual Forestry Emissions and Forestry Value-Added in Ranchi, Jharkhand for 2001-2050

Uma Shanker Singh, Anamol Kumar Lal, Amit Bara
article en

Abstract

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.

International Journal of Mathematics Trends and TechnologyVol. 71(5)
Openalex Percentile: Top 87%
Forest Management and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.