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Rahela Abdul Rahim
School of Quantitative Sciences Universiti Utara Malaysia. 06010. Sintok. Kedah
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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Forecasting Gross Domestic Product with Logistic Growth Model Rahela Abdul Rahim; Noraziah Man; Fatinah Zainom
International Journal of Supply Chain Management Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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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.
Co-Authors Fatinah Zainom Noraziah Man