Demographic Trends Forecasting: A Panacea for Sustainable Education Development Policies
Author (s)
Maigana Alhaji Bakawu
Abstract
This paper presents a fuzzy time series methodology for forecasting demographic trends that could serve as a scientific approach toward a feasible and sustainable socio-economic development policies. In the experimental section, empirical analysis of population variation of Yobe State, Nigeria spanning over periods of 1996 – 2020 was carried out. The result revealed that FTS model can be used as an appropriate forecasting tool to predict population variations. It is expected that the findings of this research will benefit the present government’s drive on education among other socio-economic conditions of Yobe State as the government declared a state of emergency in the basic and secondary education in the state on the occasion of its inauguration and swearing-in ceremony on 29th May, 2019.
Keywords: Development Policies, Forecasting, Fuzzy Time Series, Model, Population Variation.
| Title: | Demographic Trends Forecasting: A Panacea for Sustainable Education Development Policies |
|---|---|
| Author: | Maigana Alhaji Bakawu |
| Journal Name: | International Journal of Science and Business |
| Website: | ijsab.com |
| ISSN: | ISSN 2520-4750 (Online), ISSN 2521-3040 (Print) |
| DOI: | https://doi.org/10.5281/zenodo.4717839 |
| Media: | Online |
| Volume: | 5 |
| Issue: | 7 |
| Acceptance Date: | 21/04/2021 |
| Date of Publication: | 25/04/2021 |
| PDF URL: | https://ijsab.com/wp-content/uploads/767.pdf |
| Free download: | Available |
| Page: | 118-126 |
| First Page: | 118 |
| Last Page: | 126 |
| Paper Type: | Research Paper |
| Current Status: | Published |
Cite This Article:
Maigana Alhaji Bakawu (2021). Demographic Trends Forecasting: A Panacea for Sustainable Education Development Policies. International Journal of Science and Business, 5(7), 118-126. doi: https://doi.org/10.5281/zenodo.4717839
Retrieved from https://ijsab.com/wp-content/uploads/767.pdf
About Author (s)
Maigana Alhaji Bakawu, Department of Statistics, Mai Idris Alooma Polytechnic Geidam, Nigeria. Email: maiganabk@gmail.com
DOI: https://doi.org/10.5281/zenodo.4717839