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Modeling the Dimensions of Globalization, Economic Growth, Inequality, and Poverty in Indonesia Using VAR/VECM Method Nindien, Qurrota Ayu; Ikhsana, Nadya Ramadhani; Armunanto, Yohanes Novi
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 3 (2025): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252345

Abstract

This study analyzes the relationship between various dimensions of globalization, economic growth indicators, inequality, and poverty in Indonesia using a VECM framework. All variables are stationary at the first difference, and the Johansen cointegration test identifies four cointegrating vectors, indicating a long-run equilibrium among poverty (POV), FDI, inequality (GR), unemployment (UE), economic openness (IEG), economic cooperation (IEC), and social openness (ISG). Based on the Akaike Information Criterion (AIC), a lag order of two is selected, and the VAR stability test confirms that the model is valid. In the long run, FDI, GR, UE, IEG, and ISG significantly influence poverty, whereas IEC shows no significant effect. FDI, IEG, GR, and ISG contribute to poverty reduction, while UE increases poverty. No variable exhibits short-run significance, but the significant error correction term (ECT) reflects a gradual adjustment toward long-term equilibrium. The FEVD results show that up to the tenth period, the variance in POV is primarily explained by POV itself (63.97%), followed by ISG (15.77%), GR (12.76%), and UE (5.49%), whereas FDI, IEG, and IEC contribute less than 1%. Overall, poverty dynamics in Indonesia are largely driven by their own persistence, with additional contributions from social openness and inequality.
PENGARUH BANTUAN ASING TERHADAP TRANSFORMASI SOSIAL EKONOMI KOMUNITAS MIGRAN PEREMPUAN DI INDONESIA (2019–2023) Alfattah, Dhiwa Abiyu; Gea , Iman Jaya; Kurnia, Ketut Lira; Liza, Putri Permata; Aida, Neli; Hudani, Muhammad Mufti; Nindien, Qurrota Ayu
VARIABLE RESEARCH JOURNAL Vol. 2 No. 03 (2025): JULI 2025
Publisher : Media Inovasi Pendidikan dan Publikasi

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Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh bantuan asing terhadap transformasi sosial ekonomi komunitas migran perempuan di Indonesia pada periode 2019 hingga 2023. Meningkatnya jumlah migrasi perempuan telah menjadi fenomena penting yang menghadirkan tantangan ekonomi, sosial, dan budaya. Bantuan asing dalam bentuk dana hibah, pelatihan keterampilan, pendidikan, serta dukungan sosial, berpotensi memberikan dampak positif terhadap pendapatan, akses pendidikan, peluang kerja, dan kesejahteraan komunitas migran. Dengan menggunakan pendekatan kuantitatif dan kualitatif, data diperoleh dari laporan lembaga internasional dan survei lapangan. Hasil penelitian menunjukkan adanya peningkatan signifikan dalam pendapatan bulanan, akses modal usaha, serta indeks kesejahteraan keluarga.
Socioeconomic Determinants of Stunting in Indonesia: The Role of Poverty, Women’s Empowerment, and Regional Economic Growth Nindien, Qurrota Ayu; Yohanes Novi Armunanto; Nadya Ramadhani Ikhsana; Dina Arini Adipathy
Salam (Islamic Economics Journal) Vol. 8 No. 2 (2026): June 2026
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/w1dcqh45

Abstract

This study investigates stunting in Indonesia by examining its relationship with poverty, education, and women’s empowerment across 34 provinces. Stunting remains a major global health concern because it can affect the long-term quality of human resources, while poverty and education are often viewed as socioeconomic conditions that influence household nutrition and child growth. Existing studies commonly discuss stunting from a health perspective, but this research positions poverty and women’s empowerment as important explanatory variables in understanding stunting in Indonesia. Using panel data from 34 provinces, this research applies a quantitative regression approach to analyze how poverty, the Female Human Development Index, women’s average years of schooling, and GRDP per capita growth are associated with stunting prevalence. The findings indicate that poverty has a positive and statistically significant relationship with stunting. The findings indicate that poverty has a positive and statistically significant relationship with stunting. The main contribution of this study is its focus on women’s empowerment as an important socioeconomic factor in reducing stunting.