Exploring The Strength of Apparently Uncorrelated Regression A Model for Analyzing and Detecting Economic Growth and Poverty through Financial Inclusion in Indonesia
Year: 2025
Type: article
Abstract: In recent years, financial inclusion (FI) has emerged as an important topic with the potential to directly impact most countries around the world. Indonesia is a developing country and therefore suffers from economic problems, most notably slow economic growth (EG) and limited use of formal financial services. In addition, research has not shown a decrease in the Gini coefficient, despite a decrease in poverty rates. Therefore, further research is necessary to verify this. This research adopted an important model, the seemingly unrelated regression (SUR), to examine and determine the strength of the model and the relationship. The results showed that the effect of the SUR model on economic growth was not positive. However, the significant negative effects revealed that the availability dimension is the most effective and optimal in reducing poverty, alleviating its severity, and reducing income inequality in Indonesia. In contrast, the results did not show any significant effect for the accessibility and ease of use dimensions.
DOI: 10.14419/b8sd8q76
Authors: Lia Nazliana Nasution, Ade Novalina, Ardela
Institution: Universitas Pembangunan Panca Budi Medan
Language: Portuguese
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4415864612