Year 2021, Volume 5 , Issue 1, Pages 50 - 58 2021-06-30

Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria

Daniel JACOB [1] , Imaobong NELSON [2]


This study assessed revenues generated from various forestry related sources and their trend between 2001 and 2015 using secondary data to develop a predictive model as a means of forecasting future generated revenues for Akwa Ibom State, Nigeria. Data were analyzed using bar cart, percentages and least square regression with SPSS. The results obtained indicated that revenue from general licensing of forest activities generated the highest forest revenue accounting for 56.41% (₦48,122,578.70) of the total forest revenue generated in the state for the period. All forest revenue sources except unspecified sources followed an increasing trend with a coefficient of determination (R2) ranging between 0.177 and 0.331. The predictive model showed that all the independent variables (revenue sources) had a positive and significant effect (p < 0.05) on revenue year except for unspecified sources which had a negative and significant effect (p < 0.05). The predictive model R was highly significant (p < 0.01) as all the regressors accounted for more than 91% of the variations in the revenue year. The study recommends government commitment to sustainable forest utilization as it explores all revenue opportunities in the State.
Forest Revenue Sources, Time-series Analysis, Predictive Model, Akwa Ibom State, NIgeria
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Primary Language en
Subjects Forestry, Biodiversity Conservation
Journal Section Original Papers
Authors

Orcid: 0000-0002-5754-5445
Author: Daniel JACOB (Primary Author)
Institution: University of Uyo, Nigeria
Country: Nigeria


Orcid: 0000-0003-4893-5158
Author: Imaobong NELSON
Institution: University of Uyo, Nigeria
Country: Nigeria


Dates

Application Date : December 23, 2020
Acceptance Date : March 26, 2021
Publication Date : June 30, 2021

Bibtex @research article { ijafls845513, journal = {International Journal of Agriculture Forestry and Life Sciences}, issn = {}, eissn = {2602-4381}, address = {}, publisher = {Volkan OKATAN}, year = {2021}, volume = {5}, pages = {50 - 58}, doi = {}, title = {Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria}, key = {cite}, author = {Jacob, Daniel and Nelson, Imaobong} }
APA Jacob, D , Nelson, I . (2021). Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria . International Journal of Agriculture Forestry and Life Sciences , 5 (1) , 50-58 . Retrieved from https://dergipark.org.tr/en/pub/ijafls/issue/60445/845513
MLA Jacob, D , Nelson, I . "Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria" . International Journal of Agriculture Forestry and Life Sciences 5 (2021 ): 50-58 <https://dergipark.org.tr/en/pub/ijafls/issue/60445/845513>
Chicago Jacob, D , Nelson, I . "Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria". International Journal of Agriculture Forestry and Life Sciences 5 (2021 ): 50-58
RIS TY - JOUR T1 - Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria AU - Daniel Jacob , Imaobong Nelson Y1 - 2021 PY - 2021 N1 - DO - T2 - International Journal of Agriculture Forestry and Life Sciences JF - Journal JO - JOR SP - 50 EP - 58 VL - 5 IS - 1 SN - -2602-4381 M3 - UR - Y2 - 2021 ER -
EndNote %0 International Journal of Agriculture Forestry and Life Sciences Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria %A Daniel Jacob , Imaobong Nelson %T Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria %D 2021 %J International Journal of Agriculture Forestry and Life Sciences %P -2602-4381 %V 5 %N 1 %R %U
ISNAD Jacob, Daniel , Nelson, Imaobong . "Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria". International Journal of Agriculture Forestry and Life Sciences 5 / 1 (June 2021): 50-58 .
AMA Jacob D , Nelson I . Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria. Int J Agric For Life Sci. 2021; 5(1): 50-58.
Vancouver Jacob D , Nelson I . Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria. International Journal of Agriculture Forestry and Life Sciences. 2021; 5(1): 50-58.
IEEE D. Jacob and I. Nelson , "Application of time-series analysis in predictive modelling of forest revenue sources in Akwa Ibom State, Nigeria", International Journal of Agriculture Forestry and Life Sciences, vol. 5, no. 1, pp. 50-58, Jun. 2021