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All Journal Prosiding Seminar Nasional Official Statistics
Azka Annisa Ramadhani
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Analisis Konvergensi Ekonomi Daerah Berbasis Statistik Resmi pada Era Uncertainty Economy Azka Annisa Ramadhani; Decapryo Rivian Belo; Hasna Fathin Nur Diniyah; Muhamad Naufal Mazidan; Victor Ardiansyah Maruli Sitorus; Rofiq Nur Rizal
Seminar Nasional Official Statistics Vol 2026 No 1 (2026): Seminar Nasional Official Statistics 2026
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2026i1.2658

Abstract

Regional economic disparities remain a major development chalenge in East Nusa Tenggara (NTT) Province. This study examines economic convergence and identifies the determinants of district/city GDP per capita growth during the pre- pandemic, pandemic and post-pandemic COVID-19. Using official statistical data from Statistics Indonesia (BPS), the study analyzes panel data from 22 districts/cities during the 2019–2023 period through panel data regression. The explanatory variables include initial GDP per capita, Gini ratio, internet access, open unemployment rate (TPT), and human development index (HDI). The finding reveal significant regional heterogeneity and confirm the presence of economic convergence, as shown by the negative and significant coeficient of initial GDP per capita. HDI positively affects economic growth, whereas Gini ratio and internet access show significant negative effect; while TPT is insignificant. These result highlight the need to strengthen human capital, expand equitable digital infrastructure, and reduce inequality to accelerate regional economic convergence in NTT.
Analisis Inequality Trap Dalam Menjelaskan Kemiskinan Di Jawa Barat Tahun 2020-2025 Decapryo Rivian Belo; Azka Annisa Ramadhani; Angel Oktavia Br Tampubolon
Seminar Nasional Official Statistics Vol 2026 No 1 (2026): Seminar Nasional Official Statistics 2026
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2026i1.2824

Abstract

Poverty is a multidimensional issue influenced by inequality and human development. This study analyzes the effects of the Open Unemployment Rate (TPT), Human Development Index (HDI), and Gini Ratio on poverty across 27 regencies/cities in West Java from 2020 to 2025. The study employs panel data regression using the Random Effects Model (REM) and the robust Seemingly Unrelated Regression (SUR) method to account for spatial cross-sectional dependence. The results indicate that HDI and the Gini Ratio have significant effects on poverty. The substantial increase in the Gini Ratio coefficient in the SUR model provides evidence of an inequality trap mechanism, in which inequality systematically hinders poverty alleviation. Therefore, poverty alleviation in West Java requires progressive redistributive policies, labor formalization, and the equalization of human capabilities across regions.
Co-Authors Angel Oktavia Br Tampubolon Decapryo Rivian Belo Hasna Fathin Nur Diniyah Muhamad Naufal Mazidan Rofiq Nur Rizal Victor Ardiansyah Maruli Sitorus