Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/321686 
Year of Publication: 
2024
Citation: 
[Journal:] Cogent Economics & Finance [ISSN:] 2332-2039 [Volume:] 12 [Issue:] 1 [Article No.:] 2433023 [Year:] 2024 [Pages:] 1-27
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
This study investigates the contributions of economic freedom indicators to Indonesia's economic growth from 1995 to 2022, applying the Solow growth model within both static and dynamic frameworks. Using Robust Least Squares (RLS) and dynamic methods - such as Dynamic Ordinary Least Squares (DOLS) and Fully Modified Ordinary Least Squares (FMOLS) - and conducting robustness checks with Canonical Cointegration Regression (CCR), the analysis confirms that eight out of nine indicators - particularly business freedom, monetary freedom, trade freedom, property rights, government integrity, tax burden, investment freedom, and financial freedom - positively influence Indonesia's economic growth. These findings underscore the importance of policies that enhance property rights, minimize government intervention, promote investment, and encourage competitive markets. The study's insights aim to guide Indonesian policymakers in leveraging economic freedom to foster sustainable, long-term growth. While previous research in Indonesia has assessed the composite impact of the economic freedom index on economic growth, this study stands out by adopting a decomposing approach that evaluates each economic freedom indicator separately. The results provide more comprehensive, evidence-based insights for policymakers seeking to foster sustainable economic growth through enhanced economic freedom.
Subjects: 
dynamic economic methodologies
Economic freedom metrics
investment freedom
long-term growth indicators
Macroeconomics
robust least squares techniques
JEL: 
C23
O11
O53
P00
P16
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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