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Factors that Influence Wages Differences in Formal Sector on Male and Female Workers in Palembang City

Author

Listed:
  • Intan Nurpratiwi

    (Faculty of Economics, Sriwijaya University, Palembang, South Sumatra, Indonesia)

  • Syamsurijal Abdul Kadir

    (Department of Economic, Sriwijaya University, Palembang, South Sumatra, Indonesia)

  • Yunisvita Yunisvita

    (Department of Economic, Sriwijaya University, Palembang, South Sumatra, Indonesia)

Abstract

The purpose of this study is to know and find out which factors are the most dominant in influencing the wages of male and female workers and to find out whether or not there are differences in the parameters of the independent variables between men and women in formal sector in Palembang City. This research used in this study is primary data in the form of questionnaires or questions that are asked directly to respondents from 6 industrial companies at risk with 164 respondents consisting of 104 male respondents and 60 respondents from the total population 211 people. Data analysis methods used are different test analysis and multiple regression analysis. The results showed that male respondents on education, working hours, work experience had a positive and significant effect on the wages of male workers while age had no effect on the wages of male workers while female respondents showed that education, age and risk had a positive effect and significant effect on the salary of women workers. While work experience and working hours have a positive and not significant effect on the salary of women workers. Then for the different parameters test results showed that education, age, working hours and work experience have different parameters between men and women while for risk there is no difference between men and women. The results of the study, the government of Palembang city can make a strategy to control the distribution of wage occurs and make a policy. Policies that are made are not only standard policies to increase the productivity of women, but also policies that promote justice between men and women in recruitment and workplace.

Suggested Citation

  • Intan Nurpratiwi & Syamsurijal Abdul Kadir & Yunisvita Yunisvita, 2019. "Factors that Influence Wages Differences in Formal Sector on Male and Female Workers in Palembang City," Business & Management Compass, University of Economics Varna, issue 4, pages 327-343.
    • Handle: RePEc:vrn:journl:y:2019:i:4:p:327-343
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    References listed on IDEAS

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    1. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    2. Nicoletta Berardi, 2013. "Social networks and wages in Senegal’s labor market," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-26, December.
    3. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    4. Kapsos, Steven., 2008. "The gender wage gap in Bangladesh," ILO Working Papers 994134173402676, International Labour Organization.
    5. Mecikovsky, Ariel & Wellschmied, Felix, 2016. "Wage Risk, Employment Risk and the Rise in Wage Inequality," IZA Discussion Papers 10451, Institute of Labor Economics (IZA).
    6. Kazi Abrar Hossain & Sharjil Muktafi Haque & A.K. Enamul Haque, 2015. "An Analysis of the Determinants of Wage and Salary Differentials in Bangladesh," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 16(2), pages 295-308, September.
    7. Adireksombat, Kampon & Fang, Zheng & Sakellariou, Chris, 2010. "The Evolution of Gender Wage Differentials and Discrimination in Thailand: 1991-2007--An Application of Unconditional Quantile Regression," MPRA Paper 27516, University Library of Munich, Germany.
    8. Polat, Sezgin, 2016. "Industry Wage Differentials and Working Conditions in Turkey: A Brief Note," MPRA Paper 73165, University Library of Munich, Germany.
    9. repec:ilo:ilowps:413417 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Wages of male workers; Wages of female workers; Education; Age; Working hours; Work experience; Risk;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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