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THE IMPACT OF DIGITAL PLATFORMS ON THE TURNOVER OF CULINARY MSMES IN THE TONDO AGGLOMERATION AREA Jumriani; Nurnaningsih; Patta Tope; Rita Yunus; Ika Rafika
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 7 (2026): JUNE
Publisher : RADJA PUBLIKA

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Abstract

The low use of digital platforms by MSMEs results in limited market access and hinders revenue growth. Therefore, it is important to research the role of digitalization in increasing MSMEs' turnover. The purpose of this study is to analyze the impact of the use of digital platforms on increasing the turnover of MSMEs in the culinary sector in Tondo Village, Palu City. Using a quantitative method by collecting primary data from 95 MSME actors and analyzing it using multiple linear regression with a semi-log model through Ordinary Least Squares (OLS). The results of this study show that the use of digital platforms has a positive and significant impact on the growth of MSME turnover. On the other hand, the labor factor showed a significant negative influence, while the age of the business and initial capital did not show a significant influence. These findings show that in the era of the digital economy, the performance of MSMEs is more influenced by their ability to adapt to technology than by traditional factors. This research provides an empirical contribution by emphasizing the importance of digitalization in improving the performance of MSMEs in the context of local economic agglomeration areas.
Income elasticity of food expenditure among urban households in Sulawesi: Evidence from engel’s law Siti Nurhaliza; Mohamad Ichwan; Rita Yunus; Edhi Taqwa; Yunus Sading
Priviet Social Sciences Journal Vol. 6 No. 2 (2026): February 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i2.1424

Abstract

This study examines the responsiveness of food expenditure shares to income changes among urban households in Sulawesi using income elasticity analysis. Employing cross-sectional microdata from the 2023 National Socio-Economic Survey (SUSENAS), comprising 13,933 urban households across six Sulawesi provinces, we calculate arc elasticity for nine income group transitions. The results reveal predominantly negative elasticity values ranging from -0.008 to -0.504, confirming patterns consistent with Engel’s Law. The elasticity pattern exhibits an inverted-curve shape: weak in low-income groups (-0.0103 to -0.091), strengthening in middle-income groups (-0.2 to -0.5), and moderating in the highest transition (-0.059 to -0.268). This reflects critical threshold effects, where middle-income households demonstrate the strongest responsiveness in reallocating expenditures from food to non-food categories. Substantial interprovincial variations emerged, with Gorontalo exhibiting the strongest elasticity (-0.504), while Central Sulawesi showed unique patterns, including positive elasticity at specific transitions. Elasticity values consistently below one confirm food as a necessary good across all provinces. These findings provide crucial policy insights: low-income households require targeted protection through subsidies and social assistance, whereas middle-income households would benefit most from income growth policies. Provincial heterogeneity underscores the need for context-specific rather than uniform regional interventions.