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The Effect of Education, Poverty, and Population Growth on Economic Growth in South Sulawesi in 2010-2022 Basri Bado; Irwandi; Yusri Karmila
Formosa Journal of Multidisciplinary Research Vol. 2 No. 5 (2023): May, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v2i5.4311

Abstract

The purpose of this study was to analyze how the variables of education, poverty and population growth affect economic growth in South Sulawesi so that later it can be used as a basis for determining policies in increasing economic growth in South Sulawesi. While the analysis method used in this research is multiple linear regression analysis method. The results of data estimation using multiple regression analysis show that the education variable has a negative and insignificant effect on economic growth, the poverty variable has a significant effect on economic growth and population growth has a significant effect on economic growth in South Sulawesi. Education, poverty and population growth variables together have no effect on economic growth in South Sulawesi.
Analysis of Management Overconfidence on Earnings Management in Non-Financial Companies Listed on the IDX Duryana; Yusri Karmila
Formosa Journal of Applied Sciences Vol. 2 No. 8 (2023): August 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjas.v2i8.5705

Abstract

The aim of this study is how to analyze management overconfidence in earnings management in IDX-registered non-financial companies from 2016 to 2020. Revenue management Non-financial companies BUMN on 'IDX for the period 2016-2020 can be concluded that 2016 is volatile to 2020. This means that non-financial public enterprises will have improvements in their performance. annual profit management to minimize the risk of occurrence. Managers' overconfidence in non-financial EIB companies BUMN During the period 2016-2020, there were 11 companies with excessive confidence in the performance of managers, namely INAF, KAEF, KRAS, ADHI, WIKA, WSKT, ANTM, TINS, SMBR, GIAA, TLKM, while the other 5 companies showing low confidence are PGAS, PTPP, PTBA, SMGR, JSMR.