Abstract
World System Theory was developed in the late 1970s by prominent economist Immanuel Wallerstein. The hypothesis proposed a triad of global divisions according to economic status. Although this was similar to Dependency theory, Wallerstein provided further explanation of its effects here. Some indicators of a country's health include its gross domestic product (GDP), foreign direct investment (FDI), foreign exchange reserves (FOREX), export and import revenues, and so on. Each of these variables is important to globalization. To find out how each country is doing in comparison to others, a cross-national study is the way to go. According to World System Theory, there are three distinct economic zones on Earth: the Core, the Semi-Periphery, and the Periphery. The economy of Malaysia is the subject of this research study. An analysis was conducted to determine which of the three World System Theory options best suited the Malaysian economy. Malacca has been experiencing rapid economic growth since 1969, marking the beginning of its post-development phase. Foreign commerce has increased in Malaysia due to the country's large migrant population. Nevertheless, Malaysia is still considered to be on the perimeter. Economists should not rely on assumptions but rather provide evidence based on sound theory. No need to challenge its indicators as nearly all economists has classified Malaysia as a semi-periphery nation; nonetheless, proper-investigation needs to be done routinely at specified intervals. Until June 2015, the purpose of this study report is to list the real state of the Malaysian economy. In this paper, we present the Sensitive Learning for Economy Prediction Model (SLEPM), a novel learning-based approach to accurately forecasting a country's growth rate. We cross-validate our proposed scheme with the more traditional Artificial Neural Network (ANN) learning-based approach. This research article may be included among the many publications concerning the Malaysian economy, which helps to maintain the study's vitality and progress.
Original language | English |
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Title of host publication | Proceedings of the 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI 2024), Chennai, India, 9-10 May 2024 |
Place of Publication | U.S. |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 9798350389449 |
ISBN (Print) | 9798350389432 |
DOIs | |
Publication status | Published - 2024 |
Event | International Conference on Advances in Computing, Communication and Applied Informatics - Chennai, India Duration: 9 May 2024 → 10 May 2024 |
Conference
Conference | International Conference on Advances in Computing, Communication and Applied Informatics |
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Abbreviated title | ACCAI |
Country/Territory | India |
City | Chennai |
Period | 9/05/24 → 10/05/24 |
Keywords
- ANN
- Artificial Neural Network
- Deep Learning
- Economy Prediction
- Malaysian Economy Growth
- Sensitive Learning
- SLEPM
- System Engineering