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Determinants of Community Welfare in Southeast Sulawesi, Indonesia Hasddin; Jacob Breemer; Abd. Azis Muthalib; La Ode Suriadi; Lapipi; La Karimuna; Melati; Rola Pola Anto; Misnawati; Nartin; Asri Nova Rama
Inclusive Society and Sustainability Studies Vol. 5 No. 2 (2025): December Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/issues.v5i2.3505

Abstract

Community welfare is a fundamental objective in achieving sustainable and equitable development, particularly in regions facing persistent urban–rural disparities. Despite various policy interventions, including fiscal transfers and targeted development programs at local levels, the determinants of community welfare remain a subject of debate. This study examines the key economic determinants of community welfare in Southeast Sulawesi Province, Indonesia, focusing on economic growth, income inequality, labor absorption, infrastructure availability, and investment. Using panel data regression analysis, this study investigates the causal relationships between these economic factors and community welfare across districts and cities in Southeast Sulawesi from 2012 to 2021, based on data from the Central Statistics Agency. The results indicate that labor absorption, income inequality, infrastructure development, and investment have significant effects on community welfare. Employment emerges as the most influential factor, suggesting that higher labor absorption plays a critical role in improving welfare outcomes. Income inequality shows a significant negative effect, indicating that increasing disparities reduce overall welfare. Infrastructure development and investment positively contribute to welfare by enhancing public services and expanding employment opportunities. In contrast, economic growth demonstrates a weaker impact compared to other determinants. This study contributes to the literature by providing empirical evidence that community welfare is more strongly influenced by employment creation and inequality reduction than by economic growth alone. The findings offer important policy implications for regional development planning, emphasizing the need for inclusive, labor-oriented, and infrastructure-supported development strategies to enhance welfare in developing regions.
Observable Financial-Signal Profiles: A Descriptive Comparative Analysis of Indonesian Pharmaceutical Firms Misnawati; Irham Natsir; Sri Widati
Business Innovation Management and Entrepreneurship Journal (BIMANTARA) Vol. 5 No. 02 (2026): OCTOBER ISSUE
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/bimantara.v5i02.45516

Abstract

This study identifies observable financial-signal profiles among eight pharmaceutical firms listed on the Indonesia Stock Exchange during 2020–2024. The descriptive comparative analysis included 40 firm-year observations of return on assets, the current ratio, the debt-to-equity ratio, year-end stock prices, and the rupiah–US dollar exchange rate. Because the source stock prices were reported in both rupiah and thousands of rupiah, the price series was reconstructed using an explicit unit-conversion rule and indexed to a 2020 = 100. The resulting index remained provisional and did not represent verified returns based on adjusted closing prices. Within-firm endpoint comparisons and cross-firm analysis identified four profiles: broad-based reinforcement; stable fundamentals with weak market translation; stable or recovering fundamentals with neutral or positive market translation; and financial deterioration with market erosion. The findings for SIDO and DVLA show that strong profitability does not always align with higher stock prices. Sensitivity checks showed that five firms retained their classifications under alternative market-response bands, while KLBF, MERK, and SOHO changed categories. The study provides a descriptive framework for comparing financial indicators and stock-price movements without establishing causal relationships or directly measuring organizational resilience