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IMPACT OF OVO DIGITAL WALLET ON MSME WELFARE IN SURAKARTA Ramadhan, Fabian Kusuma; Suryantoro, Agustinus; Nihayah, Dyah Maya
Journal of Applied Economics in Developing Countries Vol 8, No 1 (2023): Journal of Applied Economics in Developing Countries
Publisher : MESP–FEB UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jaedc.v8i1.79447

Abstract

This study examines the impact of using the OVO digital wallet on the turnover of street vendors in Surakarta. The informal economy, particularly street vendors, plays a significant role in Indonesia's economy. This research utilizes multiple linear regression analysis on questionnaire data to understand the influence of OVO usage. Findings indicate that OVO usage increases vendor welfare through higher income turnover, supported by the ease of use, mobility, reputation, trust, and security of the fintech product. Jebres, with its large number of vendors around Sebelas Maret University, shows significant influence.
ANALYSIS OF ECONOMIC GROWTH, HDI, AND POPULATION IMPACT ON POVERTY IN PAPUA (2012-2017) Yosmaliza, Ira Febrianty; Suryantoro, Agustinus
Journal of Applied Economics in Developing Countries Vol 7, No 2 (2022): Journal of Applied Economics in Developing Countries
Publisher : MESP–FEB UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jaedc.v7i2.79434

Abstract

This research aims to analyze the specific effects of economic growth, the Human Development Index (HDI), and population size on poverty levels in Papua Province from 2012 to 2017. Secondary data is used by this research from the Central Bureau of Statistics. The analysis used in this research is analysis of panel data consisting of cross sections of 29 districts/cities and time series data over the period 2012-2017. The model of data panel uses is fixed effect model. The results of the research showed that HDI and population rates affect negatively and significantly on poverty in Papua during 2012-2017. Meanwhile, the economic growth rate variable affects poverty negatively and not significantly in Papua during 2012-2017. The high coefficient of determination (R2 = 0.973966) indicates that 97.4% of the variation in poverty levels in Papua Province can be explained by the combined effects of economic growth, HDI, and population size. This finding underscores the significant role of human development and population management in poverty alleviation efforts. Future policies should prioritize education, healthcare, and sustainable population growth to effectively reduce poverty in the region.