Putu Ayu Pramitha Purwanti
Faculty of Economics and Business, Udayana University

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ANALYSIS OF FACTORS AFFECTING FEMALE UNEMPLOYMENT IN REGENCIES/CITIES IN BALI PROVINCE Ni Luh Komang Santhi Purnama Sari; Putu Ayu Pramitha Purwanti
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 11 (2025): AUGUST
Publisher : Adisam Publisher

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Abstract

Female unemployment is a critical issue in the context of economic and social development in Bali Province, especially due to the significant role of women in the informal and tourism sectors. This study aims to analyze the effects of education, age, regional minimum wage, and inflation on female unemployment rates in the nine regencies/cities of Bali Province during the 2014–2023 period. The method used is panel data regression analysis, employing the Common Effect Model (CEM) selected based on Chow and Lagrange Multiplier test results. The findings show that, simultaneously, all four independent variables significantly influence female unemployment. Partially, education and age have a negative and significant effect, the regional minimum wage has a positive and significant effect, and inflation has a positive but not significant effect. These results indicate that increasing age and controlling inflation can reduce female unemployment, while wage policies must be carefully evaluated to avoid hindering female labor absorption. This research is expected to provide valuable input for local governments in formulating more inclusive and gender-responsive employment policies in Bali.
DETERMINANTS OF POVERTY IN FIVE REGENCIES OF EAST JAVA PROVINCE Noor Shania Wardaningrum; Putu Ayu Pramitha Purwanti
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 12 (2025): SEPTEMBER
Publisher : Adisam Publisher

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Poverty remains one of the main challenges in achieving sustainable economic development, particularly in regions with high industrial potential but persistent poverty rates. East Java Province is recognized as one of Indonesia’s leading manufacturing hubs; however, several regencies still record relatively high poverty levels. This study aims to analyze the effects of the manufacturing sector’s contribution, the Human Development Index (HDI), district minimum wages (UMK), and the open unemployment rate (OUR) on poverty levels in five key industrial regencies—Malang, Pasuruan, Mojokerto, Tuban, and Gresik—over the period 2014–2023. Panel data regression with a Fixed Effects Model (FEM) approach was employed. The findings reveal that, simultaneously, all four independent variables significantly affect poverty levels. Partially, only HDI exerts a negative and significant influence, while the manufacturing sector contribution, UMK, and OUR show no significant effect. These results underscore that improving quality of life through HDI enhancement is more effective in reducing poverty than relying solely on manufacturing sector growth. Therefore, poverty alleviation policies should prioritize human capital development and equitable distribution of economic benefits at the regional level.
DETERMINANTS OF PRODUCTIVITY OF RESTAURANT AND DINING MSMEs IN SOUTH KUTA DISTRICT, BADUNG REGENCY Ni Wayan Nia Lestari Sukantiasih; Putu Ayu Pramitha Purwanti
INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS Vol. 2 No. 2 (2025): AUGUST
Publisher : CV. Adiba Aisha Amira

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Abstract

South  Kuta  District  is  a  strategic  area  with  significant  potential  for the   development   of   MSMEs,   particularly   in   the   culinary   sector   such   as restaurants and eateries that support local tourism. However, the productivity of MSMEs in this area still faces several challenges, including limited access to capital, low utilization of information technology, lack of financial literacy, and suboptimal  financial  inclusion.  This  study  aims  to  analyze  the  influence  of business   capital,   information   technology,   financial   literacy,   and   financial inclusion  on  the  productivity  of  restaurant  and  eatery  MSMEs  in  South  Kuta District,  Badung  Regency,  both  simultaneously  and  partially.  This  research adopts  a quantitative  approach  using  the  stratified  random  sampling method based on village and sub-district areas, with a total sample of 100 respondents. The data analysis technique employed is multiple linear regression. The results showthat  simultaneously,  the  four  independent  variables  have  a  significant influence  on  MSME  productivity.  Partially,  each  variable  also  demonstrates  a positive  and  significant  effect  on  productivity.  These  findings  indicate  that improving  access  to  capital, mastery  of  technology,  financial  management literacy,  and  the  expansion  of  financial  services  are  crucial  to  enhance  the productivity    and    competitiveness    of    MSMEs    in    the    tourism    sector. Collaboration among government agencies, financial institutions, and business actors is essential to achieve sustainable and inclusive MSME growth.