IDEAS home Printed from https://ideas.repec.org/a/vrn/journl/y2019i4p327-343.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://journal.ue-varna.bg/uploads/20200306074518_21222316755e61ff8e9bc49.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Intan NURPRATIWI & Syamsurijal AK & YUNISVITA, 2020. "Factors that influence wages differences in formal sector on male and female workers in Palembang City," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(622), S), pages 147-158, Spring.
    2. Avinno Faruk, 2021. "Analysing the glass ceiling and sticky floor effects in Bangladesh: evidence, extent and elements," SN Business & Economics, Springer, vol. 1(9), pages 1-23, September.
    3. Danquah, Michael & Iddrisu, Abdul Malik & Boakye, Ernest Owusu & Owusu, Solomon, 2021. "Do gender wage differences within households influence women's empowerment and welfare? Evidence from Ghana," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 916-932.
    4. Muhammad Shahadat Hossain Siddiquee & Md. Saiful Islam & Md. Raied Arman, 2021. "Gender Earnings Gap among Urban Youth Adults in Bangladesh: A Comparative Static Analysis," Research in Applied Economics, Macrothink Institute, vol. 13(3), pages 45-66, September.
    5. Christophe J. Nordman & Smriti Sharma, 2018. "Pecuniary returns to working conditions in Vietnam," WIDER Working Paper Series wp-2018-72, World Institute for Development Economic Research (UNU-WIDER).
    6. Mustafizur Rahman & Md. Al-Hasan, 2022. "The Reverse Gender Wage Gap in Bangladesh: Demystifying the Counterintuitive," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(4), pages 929-950, December.
    7. Mustafizur Rahman & Md. Al-Hasan, 2019. "Male–Female Wage Gap and Informal Employment in Bangladesh: A Quantile Regression Approach," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 20(1), pages 106-123, March.
    8. Smriti Sharma & Christophe Nordman, 2018. "Pecuniary returns to working conditions in Vietnam," WIDER Working Paper Series 72, World Institute for Development Economic Research (UNU-WIDER).
    9. Thomas Y. Mathä & Alessandro Porpiglia & Michael Ziegelmeyer, 2014. "Wealth differences across borders and the effect of real estate price dynamics: Evidence from two household surveys," BCL working papers 90, Central Bank of Luxembourg.
    10. Matias Busso & Patrick Kline, 2008. "Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program," Cowles Foundation Discussion Papers 1639, Cowles Foundation for Research in Economics, Yale University.
    11. Marco Caliendo & Frank M. Fossen & Alexander Kritikos & Miriam Wetter, 2015. "The Gender Gap in Entrepreneurship: Not just a Matter of Personality," CESifo Economic Studies, CESifo Group, vol. 61(1), pages 202-238.
    12. Alison L. Booth, 2006. "The Glass Ceiling in Europe: Why Are Women Doing Badly in the Labour Market?," CEPR Discussion Papers 542, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    13. Valentine Fays & Benoît Mahy & François Rycx, 2023. "Wage differences according to workers' origin: The role of working more upstream in GVCs," LABOUR, CEIS, vol. 37(2), pages 319-342, June.
    14. Michael E. Martell & Peyton Nash, 2020. "For Love and Money? Earnings and Marriage Among Same-Sex Couples," Journal of Labor Research, Springer, vol. 41(3), pages 260-294, September.
    15. Howard Bodenhorn & Christopher Ruebeck, 2007. "Colourism and African–american wealth: evidence from the nineteenth-century south," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(3), pages 599-620, July.
    16. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    17. Ward-Warmedinger, Melanie E., 1999. "Salary and the Gender Salary Gap in the Academic Profession," IZA Discussion Papers 64, Institute of Labor Economics (IZA).
    18. Sieds, 2017. "Complete Volume LXXI n. 3 2017," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 71(3), pages 1-150, July-Sept.
    19. Ilhom Abdulloev & Ira N Gang & Myeong-Su Yun, 2014. "Migration, Education and the Gender Gap in Labour Force Participation," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 26(4), pages 509-526, September.
    20. David Bravo Urrutia & Sergio Urzúa & Claudia Sanhueza, 2007. "Is There Labor Market Discrimination Among Professionals In Chile? Lawyers, Doctors And Business-People," Working Papers wp264, University of Chile, Department of Economics.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrn:journl:y:2019:i:4:p:327-343. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Yana Doneva (email available below). General contact details of provider: https://edirc.repec.org/data/uevarbg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.