International Journal of Supply Chain Management
Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM)

Forecasting Gross Domestic Product with Logistic Growth Model

Rahela Abdul Rahim (School of Quantitative Sciences Universiti Utara Malaysia. 06010. Sintok. Kedah)
Noraziah Man (Universiti utara malaysia)
Fatinah Zainom (Universiti Utara Malaysia)

Article Info

Publish Date
29 Dec 2019

Abstract

Gross Domestic Product (GDP) is the sum of income for all goods and services acquired in a given time period. This study develops a model of GDP data for the state of Johor between 2005-2016 using the Logistic Growth model. Long-term GDP equilibrium values are predicted using non-linear equations and tested with different parameters. Forecasts of GDP in the near future are also presented using the appropriate parameters.

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Journal Info
International Journal of Supply Chain Management
Website

Abbrev

IJSCM

Publisher

ExcelingTech

Subject

Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

Description

International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts ...