Re-Evaluation of World Population Figures: Politics and Forecasting Mechanics

This paper forecasts the world population using the Autoregressive Integration Moving Average (ARIMA) for estimation and projection for short-range and long-term population sizes of the world, regions and sub-regions. The study provides evidence that growth and population explosion will continue in...

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Main Authors: Shobande Olatunji Abdul, Shodipe Oladimeji Tomiwa
Format: Article
Language:English
Published: Sciendo 2020-02-01
Series:Economics and Business
Subjects:
Online Access:https://doi.org/10.2478/eb-2020-0008
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author Shobande Olatunji Abdul
Shodipe Oladimeji Tomiwa
author_facet Shobande Olatunji Abdul
Shodipe Oladimeji Tomiwa
author_sort Shobande Olatunji Abdul
collection DOAJ
description This paper forecasts the world population using the Autoregressive Integration Moving Average (ARIMA) for estimation and projection for short-range and long-term population sizes of the world, regions and sub-regions. The study provides evidence that growth and population explosion will continue in Sub-Saharan Africa, tending the need to aggressively promote pragmatic programmes that will balance population growth and sustainable economic growth in the region. The study argued that early projections took for granted the positive and negative implications of population growth on the social structure and offset the natural process, which might have implication(s) on survival rate. Given the obvious imbalance in population growth across continents and regions of the world, a more purposeful inter-regional and economic co-operation that supports and enhances population balancing and economic expansion among nations is highly recommended. In this regard, the United Nations should compel member states to vigorously and effectively implement domestic and international support programmes with this objective in view.
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spelling doaj.art-8002760746b34c2181ccabfb17d310d52023-01-02T03:50:08ZengSciendoEconomics and Business1407-73372256-03942020-02-0134110412510.2478/eb-2020-0008eb-2020-0008Re-Evaluation of World Population Figures: Politics and Forecasting MechanicsShobande Olatunji Abdul0Shodipe Oladimeji Tomiwa1University of Aberdeen, Aberdeen, Scotland, UKKansas State University, Kansas, USAThis paper forecasts the world population using the Autoregressive Integration Moving Average (ARIMA) for estimation and projection for short-range and long-term population sizes of the world, regions and sub-regions. The study provides evidence that growth and population explosion will continue in Sub-Saharan Africa, tending the need to aggressively promote pragmatic programmes that will balance population growth and sustainable economic growth in the region. The study argued that early projections took for granted the positive and negative implications of population growth on the social structure and offset the natural process, which might have implication(s) on survival rate. Given the obvious imbalance in population growth across continents and regions of the world, a more purposeful inter-regional and economic co-operation that supports and enhances population balancing and economic expansion among nations is highly recommended. In this regard, the United Nations should compel member states to vigorously and effectively implement domestic and international support programmes with this objective in view.https://doi.org/10.2478/eb-2020-0008arma/arimapopulation growthpopulation projectionsworld populationj11j18c22
spellingShingle Shobande Olatunji Abdul
Shodipe Oladimeji Tomiwa
Re-Evaluation of World Population Figures: Politics and Forecasting Mechanics
Economics and Business
arma/arima
population growth
population projections
world population
j11
j18
c22
title Re-Evaluation of World Population Figures: Politics and Forecasting Mechanics
title_full Re-Evaluation of World Population Figures: Politics and Forecasting Mechanics
title_fullStr Re-Evaluation of World Population Figures: Politics and Forecasting Mechanics
title_full_unstemmed Re-Evaluation of World Population Figures: Politics and Forecasting Mechanics
title_short Re-Evaluation of World Population Figures: Politics and Forecasting Mechanics
title_sort re evaluation of world population figures politics and forecasting mechanics
topic arma/arima
population growth
population projections
world population
j11
j18
c22
url https://doi.org/10.2478/eb-2020-0008
work_keys_str_mv AT shobandeolatunjiabdul reevaluationofworldpopulationfigurespoliticsandforecastingmechanics
AT shodipeoladimejitomiwa reevaluationofworldpopulationfigurespoliticsandforecastingmechanics