Analysis Of Determinants Of Working Hours And Income Of Women Traders (Case Study Of Culinary Traders In Jembrana Regency)
DOI:
https://doi.org/10.54066/ijmre-itb.v2i3.1863Keywords:
Education Level, Number of Family Dependents, Marital Status, Migration Status, Working Hours, IncomeAbstract
Increasing needs make the income earned by men as heads of families increasingly difficult, this situation has resulted in many women contributing to find additional income for the family. Generally, most female workers are in trade jobs, especially in the culinary sector. The increase in income of female culinary traders in this study can be influenced by several factors, namely education level, number of family dependents, marital status, migration status, and working hours. This research aims to analyze the direct and indirect influence of education level, number of family dependents, marital status, migration status, and working hours on income. The number of samples taken was based on calculation results using the Slovin formula with a population of 3,696, namely 97 people. The data analysis techniques used are descriptive analysis techniques and path analysis. The results of this research show that 1) Education level, number of family dependents have a positive and significant effect on working hours. 2) Female culinary traders who are married have a higher number of working hours than those who are not married. 3) Female culinary traders with migrant status have a higher number of working hours than non-migrants. 4) Education level, number of family dependents, working hours have a positive and significant effect on income. 5) Female culinary traders who are married earn higher incomes than those who are not married. 6) Female culinary traders with migrant status earn higher incomes compared to non-migrants. 7) The amount of working hours mediates the influence of education level, number of family dependents, marital status, and migration status on the income of female culinary traders in Jembrana Regency.
References
Journal Article
Adhikari, D. B., & Phil, M. (2017). Informal Street food trade: A source of income generation in urban Nepal. Economic Journal of Development Issues , 23(1-2), 1-17.
Ahituv, A., & Lerman, R. I, (2007) How Does the Composition of Households Income Affect Child Achievement. Journal of Population Economics , Volume 20, No. 3, pages 581-604.
Akbariandhini, M., & Prakoso, AF (2020). Educational Level Factor Analysis, Type Sex, And Status Marriage To Income In Indonesia Based on IFLS-5. JPEKA: Journal of Economic and Management Education And Finance, 4(1), 13-22.
Allam, MA, Rahajuni, D., Ahmad, AA, & Binardjo, G. (2019). Factors that influence the income of street vendors (PKL) at the Purwokerto Sunday Morning (Sunmor) Market. Journal of Economics, Business and Accounting , 21(2).
Textbook
Central Bureau of Statistics. (2021). Regional Financial Statistics Survey, Provincial BPS Bali, 2019-2021 . BPS Bali Province.
Body Center Statistics . (2022). Proportion of Formal Employment by Province, 2019-2022 . BPS Jakarta.
Body Center Statistics . (2022). Proportion of Informal Employment by Province, 2019-2022 . BPS Jakarta.
Mandiri Bank. (2018). Mandiri Jobs-Banking Staff . Retrieved from . website: https://www.mandiricareer. net/page/banking-staff
Becker, Gary S. (1965). A Theory of the Allocation of Time. The Economics Journal, 75(299), 493-517.
Dewi, I Gusti Ayu Made Oktavia Utami, Ni Made Trisnawati. (2018). Work Participation Levels and Socio-Economic Characteristics of Women Traders in Bangli District, Bangli Regency (Case Study at Kidul Market). EJurnal EP Unud , 6 (7), ISSN. 1273-1301.
Dewi, MAL, & Dewi, NPM (2018). The Influence of Age, Education and Number of Family Dependents on the Income of Female Informal Sector Workers in Denpasar City. EP Unud E-Journal , 1 (1), 1-30.
Febriani, R., & Chaidir, T. (2023). Determinants that influence the number of working hours of married women who work in the informal sector in Ampenan District, Mataram City. Journal of Development Economics Opportunities , 2 (2).
Firdausa, RA, & Arianti, F. (2012). Influence of initial capital, length of business and hours Work to income trader stall in market Bintoro Demak (Doctoral dissertation, Faculty of Economics and Business) .
Gisslen, W. (2004). Essentials of Professional Cooking, John Wiley & Sons, Inc, Hoboken, New Jersey
Ministry of National Development Planning/Bappenas. (2021). Labor Force Participation Rate (TPAK) According to Province and Gender. One Indonesian Data. Website: https://katalog.data.go.id/dataset/15-angkat-partisipasi-angkatan-kerja-tpak-menrut-provinsi-dan-jen-kelamin-2020/resource/c0f66e9a-18a0-4313-aa60- 2b58098bf629?view_id=9357af98-4229-49b3-b91d-701eafcd9aa4
Coordinating Ministry for Economic Affairs. (2021). Report on the Study of the Impact of the Covid-19 Pandemic on Employment in Indonesia. February. Republic of Indonesia.
Kumparan, (2017). The Important Role of MSMEs in Driving Indonesia's Economic Sector at the Lower Middle Level . Indonesia
Lazuardi, M., & Triady, MS (2015). Creative Economy: National Culinary Development Plan 2015-2019 . Indonesia: PT Republik Solusi.
Manning, Chris and S. Pratomo, Devanto. 2013. Do migrants get stuck in the informal sector? Findings from a household survey in four Indonesian cities. Bulletin of Indonesian Economic Studies, 49 (2):167-192 DOI: 10.1080/00074918.2013.772940
Mapandin, W. Y. (2006). Connection Factors Social Culture With Consumption Food Tree House Ladder On Public In Subdistrict Wamena, Regency Jayawijaya Year 2005. University Diponegoro Semarang.
Marhaeni, daughter of Agung's wife Ngurah. (2008). Development of Women's Studies, Criticism, and Ideas for a Perspective for Future Gender Studies. Pyramids , 4(2), p. 1-29.
Maulana, R. (2020). Does Higher Education Increase the Chances of Working in the Formal Sector?: Evidence from SAKERNAS Data. Journal of Applied Quantitative Economics , 1(1), 133-144.
Nurbaiti, Beti. (2016). The Influence of Migration Status Through Sociodemographic Characteristics on the Level of Welfare of Workers in DKI Jakarta (SUSENAS Cross Sectional Data Analysis 2013). Dissertation. IPR No: EC 00201816779, 3 July 2018.
Pangarso, A. (2016). Organizational behavior . Yogyakarta: Deepublish.
Payaman J. Simanjuntak. (1985). Introduction to Human Resource Economics. Publisher FEUI (Faculty of Economics, University of Indonesia), Jakarta.
Praba, M., & Waridin, W. (2013). Analysis of the Influence of Wages, Education, Number of Family Dependents and Marital Status on the Hours of Work for Women in Pedurungan District and Tembalang District, Semarang City. Diponegoro Journal of Economics , 2 (1), 246-258.
Rini, HS (2012). The dilemma of the existence of the informal sector. Community , 4(2).
Rizanty, Monavia Ayu. (2021). National Formal Employment Declines 10.4% in 2020. Databoks. website: https://databoks.katadata.co.id/datapublish/2021/02/03/tenaga-kerja-formal-nasional-turun-104-pada-2020.
Su'ud, Ahmad. (2007). Macroeconomic Development , National Conference Jakarta.
Sugeng Haryanto. (2009 ). The Active Role of Women in Increasing the Income of Poor Households . Economic Model of Poor Households, Jakarta
Tumanggor and Effendi. (2009). "Factors that Influence the Level of Female Labor Force Participation in Medan City". Journal of Social Sciences (formerly MADANI). Vol. 10. No. 1. February. 2009. Pg. 98-110