Claim Missing Document
Check
Articles

Found 3 Documents
Search

THE IMPACT OF HUMAN CAPITAL DEVELOPMENT ON POVERTY RATE IN PURWOREJO REGENCY Basworo, Fajar Hanung; Dwi Atmanti, Hastarini
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol. 4 No. 7 (2025)
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v4i7.3009

Abstract

This study aims to analyze the impact of human capital development on poverty levels in Purworejo Regency during the 2019-2023 period. The main focus is to identify variables related to poverty and provide human capital-based policy recommendations. This research uses econometric models, namely the Ordinary Least Square (OLS) and Seemingly Unrelated Regression (SUR) models. The dependent variable analyzed is the poverty rate, while the independent variables include Mean Years of Schooling (MYS), Expected Years of Schooling (EYS), Life Expectancy Rate (LER), and Per Capita Expenditure (PCE). The findings reveal significant correlations between all human capital variables and poverty reduction. The health dimension, measured by LER, showed the strongest impact on poverty reduction. The SUR model shows a 4.01% improvement in efficiency compared to the OLS model. Poverty alleviation policies should focus on strengthening the healthcare system, improving educational access, and empowering the economy, with direct interventions in healthcare and education. This study stands out for its use of the SUR model to analyze the simultaneous effects of human capital variables on poverty, addressing the limitations of previous studies that used the OLS model.
Keputusan Investasi Dengan Metode Capital Asset Pricing Model (CAPM) Pada Perusahaan LQ45 Rentan Waktu 2020 - 2024 Ningsih, Ida Wahyu; Basworo, Fajar Hanung; Susilowati, Indah
Magisma: Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2025): MAGISMA:Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : Magister Manajemen STIE Bank BPD Jateng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35829/magisma.v13i2.540

Abstract

This study explores how risk relates to return in the context of LQ45 index stocks for the period 2020–2024, using the Capital Asset Pricing Model (CAPM) as the main analytical tool. CAPM helps estimate a stock's expected return by factoring in its systematic risk, represented by beta. The research applies a quantitative descriptive approach, with 24 selected companies meeting specific criteria. The analysis confirms a clear positive relationship between beta and expected return—stocks with higher risk tend to offer higher potential returns. To provide deeper insight, the study also compares actual stock returns to their expected returns based on CAPM, allowing for classification into undervalued and overvalued categories. The findings indicate that six stocks are undervalued, offering potential opportunities for investors, while the remaining eighteen are overvalued. These results highlight how CAPM can be used not only to understand risk-return dynamics but also to support more informed and strategic investment decisions in the capital market.
Aligning Measures of Poverty: An Econometric Exploration of MPI-Income Mismatches in ASEAN (2019–2024) Basworo, Fajar Hanung; Ningsih, Ida Wahyu; Susilowati, Indah
International Journal of Economics Development Research (IJEDR) Vol. 6 No. 6 (2025): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v6i6.8651

Abstract

This study investigates the mismatch between income poverty and multidimensional poverty (MPI) across six ASEAN countries: Indonesia, Cambodia, Laos, Philippines, Thailand, and Vietnam, over the 2019–2024 period. It explores the determinants of mismatch and the influence of specific deprivation indicators using a comprehensive set of econometric approaches. Combining descriptive trends with panel data analysis (OLS), PCA-based classification, ridge regression, and logit/probit models, the research draws from the Global MPI datasets and income poverty estimates to assess both cross-country and within-country dynamics. The findings reveal persistent mismatches: while income poverty shows consistent declines, MPI remains high in several countries due to sustained deprivations, particularly in living standards and education. PCA confirms the multidimensional structure of poverty, and binary choice models highlight the most significant contributors to mismatch. Countries like Cambodia face pronounced mismatches, while Indonesia and Vietnam exhibit better alignment between income and MPI. The study emphasizes the limitations of relying solely on income measures and advocates integrating MPI into national poverty strategies. By highlighting hidden deprivations, the research offers novel insights and actionable recommendations for improving the accuracy and inclusivity of poverty targeting mechanisms in the ASEAN region.