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Globalization Dimensions and Poverty Dynamics in Indonesia: Evidence from a Vector Error Correction Model (VECM) Qurrota Ayu Nindien; Arivina Ratih Yulihar Taher; Asih Murwiati; I Wayan Suparta; Neli Aida
International Journal of Economics, Management and Accounting (IJEMA) Vol. 3 No. 7 (2025)
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijema.v3i7.157

Abstract

This study investigates the long-run and short-run relationships between globalization dimensions, economic growth, income inequality, and poverty in Indonesia. While globalization is widely considered a driver of economic development, its impact on poverty remains theoretically ambiguous and empirically mixed, particularly in developing countries. This study addresses this gap by examining multiple dimensions of globalization—economic globalization, social globalization, and economic cooperation—within a unified econometric framework. Using annual time series data from 1984 to 2020, this study employs the Vector Error Correction Model (VECM) to capture both short-term dynamics and long-term equilibrium relationships among variables. The results confirm the existence of cointegration, indicating a stable long-run relationship between poverty and its determinants. In the long run, economic growth, economic globalization, social globalization, and economic cooperation are found to significantly reduce poverty. In contrast, income inequality has a positive and statistically significant effect, suggesting that unequal income distribution remains a key structural barrier to poverty reduction. However, the short-run results reveal that none of the explanatory variables significantly influence poverty, highlighting the delayed transmission mechanism of globalization and macroeconomic factors. These findings suggest that the benefits of globalization are not immediate but materialize over time through structural transformation processes. From a policy perspective, the study emphasizes that globalization alone is insufficient to alleviate poverty without inclusive growth policies. Reducing inequality, improving human capital, and strengthening sectoral productivity—particularly in agriculture—are essential to ensuring that globalization contributes to sustainable poverty reduction in Indonesia.
Analisis Pola Distribusi Prevalensi Ketidakcukupan Pangan di Kabupaten/Kota di Indonesia Tahun 2025 Ana Novianti; Nely Aida; Asih Murwiati
Revenue Journal: Management and Entrepreneurship Vol 4 No 1 (2026): Revenue Journal: Management and Entrepreneurship
Publisher : CV. Bimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/rjme.v4i1.1012

Abstract

Persistent regional disparities in food access and distribution pose significant managerial and developmental challenges for Indonesian food security. This study aims to analyze the spatial distribution patterns of food inadequacy prevalence across 514 regencies and municipalities in Indonesia in 2025 to inform more effective regional management policies. Utilizing secondary data from official government institutions, this research adopts a quantitative spatial approach using GeoDa software, performing thematic mapping, Moran’s I spatial autocorrelation, and Local Indicators of Spatial Association (LISA) analysis. The findings reveal a strong positive spatial autocorrelation (Moran’s I = 0.804), indicating that food inadequacy is not randomly distributed but forms distinct clusters. High-High clusters, or insecurity hotspots, are predominantly concentrated in Eastern Indonesia—specifically in Papua, Maluku, and East Nusa Tenggara—driven by geographical isolation and inadequate infrastructure. Conversely, Low-Low clusters are concentrated in Java and Bali, benefitting from superior economic development and market accessibility. These results conclude that food inadequacy is strongly influenced by interregional development disparities, highlighting the need for spatially integrated management strategies. Policymakers should transition toward a region-based approach, prioritizing infrastructure connectivity, strengthening local food distribution systems, and reducing socio-economic inequalities to ensure targeted and sustainable food security interventions.
Analysis of Growth and Changes in Economic Structure in 5 Big Cities on the Island of Sumatra (Case Study 2017-2022) Nina Nabilla; Ukhti Ciptawaty; Arivina Ratih Y. T.; Dedy Yuliawan; Asih Murwiati
International Journal of Economics, Management and Accounting (IJEMA) Vol. 2 No. 1 (2024)
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijema.v2i1.145

Abstract

This research aims to analyze the growth and changes in economic structure in five large cities on the island of Sumatra. This type of research is quantitative research. This research uses secondary data sourced from data from the Central Statistics Agency. The data used in this research is time series data from 2017-2022. The methods used in this research are the Structural Transformation analysis method, Location Quotient (LQ) analysis and Klassen Typology Analysis. The results of the research show that the economy in 5 large cities on the island of Sumatra experienced a negative shift in the primary economic sector, while most of the secondary and tertiary economic sectors experienced a positive shift or increased. The results of the Location Quotient (LQ) analysis have a significant effect on the Klassen Typology analysis, where the economic sector Non-based sectors in each region are in quadrant III, that is, these sectors are classified as non-based sectors but have the potential to be developed in the future, while non-based sectors in quadrant IV are categorized as economic sectors that are relatively underdeveloped and do not have a competitive advantage in the analysis area.
Analysis of the Determinants of Provincial Income Inequality in Indonesia A. Taufiq Akbar; Arivina Ratih Y.T.; Asih Murwiati; Zulfa Emalia
International Journal of Economics, Management and Accounting (IJEMA) Vol. 2 No. 7 (2024)
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijema.v2i1.160

Abstract

This research aims to analyze the influence of economic growth, the contribution of the agricultural sector, the contribution of the industrial sector, and the level of open unemployment on income inequality in all provinces in Indonesia. The method and analytical tools used in this research are panel data regression. The dependent variable used is the Gini index for all provinces in Indonesia and the independent variables include economic growth, agricultural sector contribution, industrial sector contribution and open unemployment rate. The best model obtained is the Fixed Effect Model. The research results show that economic growth, the contribution of the agricultural sector has a positive and significant effect on income inequality in all provinces in Indonesia, while the contribution of the industrial sector and the open unemployment rate do not have a significant effect on income inequality in all provinces in Indonesia.