Abstract
This study examines the impact of macroeconomic variables on Malaysia’s Gross Domestic Product (GDP) using the Multiple Linear Regression (MLR) method and develops a predictive model through multiple linear regression. Due to data availability constraints, this study utilizes secondary data from the World Bank and World Development Indicators, covering the period from 2010 to 2019. Based on a review of previous literature, six macroeconomic variables were selected: inflation, exports, imports, Foreign Direct Investment (FDI), population growth, and unemployment rate. Using EViews 12 Student Lite software, the findings reveal that only exports have a statistically significant positive impact on GDP growth, while inflation, imports, FDI, population growth, and unemployment rates are found to be insignificant. These results provide valuable insights for policymakers in formulating strategies to enhance economic growth, identifying key economic trends, and mitigating potential risks. Additionally, the findings contribute to improved decision-making for firms, investors, and government agencies by supporting risk management and strategic economic planning.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Shamsuddin, Siti Nurhanani 2021494756@student.uitm.edu.my Razali, Siti Nur Aishah 2021886048@student.uitm.edu.my Omar, Mahanim mahanim@uitm.edu.my Abu Mansor, Siti Nurleena sitin140@ uitm.edu.my |
Contributors: | Contribution Name Email / ID Num. Chief Editor Othman, Jamal UNSPECIFIED |
Subjects: | L Education > LG Individual institutions > Asia > Malaysia > Universiti Teknologi MARA > Pulau Pinang L Education > LG Individual institutions > Asia > Malaysia > Universiti Teknologi MARA |
Divisions: | Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus |
Journal or Publication Title: | Beyond Boundaries: The Multidimensional Horizons of E-Learning |
ISSN: | 9786299875550 |
Volume: | 9 |
Page Range: | pp. 171-177 |
Keywords: | GDP, Multiple Linear Regression, Macroeconomic |
Date: | March 2025 |
URI: | https://ir.uitm.edu.my/id/eprint/114773 |