The Demographic Background of Employees’ Wages of Aceh in 2017 (Case Study in Ex-Conflict Areas)
DOI:
https://doi.org/10.61841/zcj4nj68Keywords:
: Demographic Background,, Employees’ Wages,, Aceh,, Ex-Conflict AreaAbstract
Some area in Aceh are former military operation conflict that have occurred in Indonesia, After the conflict abated, there wa a significant gap in the wage receipts of employees’ in Aceh. This research analyzed the factors that influence the wage earning of employees and the effect of factor on the wage in Aceh in 2017, particularly in the demographic background of former conflict areas in Aceh. This research used primary data from the 2017 National Labor Force Survey (Sakernas) conducted by the Central Statistics Agency (BPS). The object of research were employees who receive wages/salaries and benefits, the form of money and goods. The variables used in addition to wages are namely the level of education, age, sex, years of work, and demographics of the work area (urban/rural, ex-conflict/non-conflict). The purpose of this research was to determine the factors that influence wage levels and determine the effect of factor on wage levels in Aceh using Multiple Classification Analysis (MCA), inferential statistical techniques, logistic regression methods and the IBM SPSS program. Variables that had a significant influence with wages base on: the level of diploma education obtains wages 51,72% higher than high school, 19,75% wages of men are higher than women, for wages at productive age (20- 60 ) 25,99% higher. Wages in urban areas were 66,14% higher than in rural areas, but for ex-conflict areas there was a decrease in wages of about 74,03% of the factors that influence the variable wage acceptance of employees.
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References
1. Anker, Richard & Hein, Catherine. (1986). Sex Inequalities in Urban Employment in The Third World. London : Macmillan Press.
2. Akpansung, Aniekan Okon. (2014). An Empirical Assessment of the Effects of Minimum Wage Increases on Unemployment during Democratic Governance in Nigeria. International Journal of Humanities and Social Science Vol. 4, No. 13; (November).
3. Badan Pusat Statistik, (2016). Statistik Upah Agustus 2016. Jakarta : Badan Pusat Statistik.
4. Badan Pusat Statistik, (2017). Indikator Tenaga Kerja Provinsi Aceh. Banda Aceh : Badan Pusat Statistik Provinsi Aceh.
5. Becker, G.S. (1975). Human Capital: A Theoritical And Empirical Analysis With Special Reference To Education. Chicago : University of Chicago Press.
6. Becker, G.S. (1976). The Economic Approach to Human Behavior. Chicago: University of Chicago Press.
7. Becker, G.S. (1993). Human Capital A Theoretical and Empirical Analysis with Special Reference to Education. Chicago : The University of Chicago Press.
8. Bӧckerman, Petri. Skedinger, Per. Uusitalo, Roope, (2018). Seniority rules, worker mobility and wages : evidence from multi-country linked employer-employee data. Labour Economics 51 ( 48-62).
9. Belser, Patrick & Sobeck, Kristen. (2012). At what level should countries set their minimum wages?.International Journal of Labour Research Vol. 4 Issue 1.
10. Berardi, Nicoletta. (2013). Social Networks and Wages in Senegal’s Labor Market. Journal of Labor & Development 2013, Vol.2 Issue 3.
11. Bhattacharjee, Anannya dan Roy, Ashim (2012). Asia Floor Wage and global industrial collective bargaining. International Journal of Labour Research Vol. 4 Issue 1.
12. Bhattarai, Keshab dan Wisniewsky, Tomasz. (2002). Determinants of Wages and Labour Supply in the UK. JEL Classification: J22, J31.
13. Bogue, D., J., (1969). Priciple of Demography. New York: John Wiley and Son, Inc.
14. Dornbush, Rudiger, Fischer, S., & Startz, R. (2008). Macroeconomic 10Th Edition. New York: McGraw-Hill Companies, Inc.
15. Draper, NR & Smith, H. (1998). Applied Regression Analysis, Third Edition. New York : John Wiley & Sons.
16. Caliendo, Marco. Lee, Wang-Sheng. Mahlstedt, Robert. (2014) The Gender Wage Gap : Does a Gender Gap in Reservation Wages Play a Part, IZA Discusion Paper Series No. 8305.
17. Cardoso, Ana Rute, Guimarães, Paulo, Varejão, José, (2010), Are Older Workers Worthy of Their Pay? An Empirical Investigation of Age-Productivity and Age-Wage Nexuses, IZA Discusion Paper No. 5121.
18. Dutta, Puja Vasudeva. (2015) Accounting For Wage Inequality in India, United Kingdom, The University of Sussex.
19. Hossain, K. A., Haque, S. M. & Haque, A.K.E. (2015). An Analysis of the Determinants of Wage and Salary Differentials in Bangladesh. South Asia Economic Journal September 2015 16: 295-308.
20. Hsieh, Wen-Jen. Hsiao, Po-Jen. Lee, Jenq-Daw, (2012) The Impact of Health Status on Wages – Evidence From The Quantile Regresion, Taiwan, Hsieh, Hsiao & Lee, Journal of International and Global Economic Studies, 5(1), (35-56).
21. International Labour Organizatio (ILO). (1999). Key Indicators of the Labour Market (KILM).Geneva: ILO.
22. Ismail, Rahmah & Idris Jarji. (2012). Gender Wage Differentials and Discrimination in Malaysian Labour Market. World Applied Sciences Journal 19 (5): 719-728.
23. Joshi, Radika, Subramanian,Chetan. Swaminathan, Shailender. (2018). Social returns to education : Evidence for longitudinas data in Indonesia.
24. Rogerson, R., Shimer, R. & Wright, R. (2005). Search-Theoretic Models of the Labor Market: A Survey. Journal of Economic Literature Vol. XLIII (December 2005), pp. 959–988.
25. Mahlberg, Bernhard. Freund, Inga & Prskawetz, Jesus Crespo. (2013), Ageing Productivity and wages in Austria. Labour Economics 22 (5 – 15)
26. Meulders, Daniele, R. Plasmon & F. Rycx. (2004). Minimum Wages, Low Pay & Unemplyoment, Paris : Palgrave Macmillan.
27. Ours, Jan C. Van. Stoeldraijer, Lenny. (2010). Age, Wage and Productivit . Journal of IZA, Germany, Discusiopn Paper No. 4765.
28. Rothschild, Kurt. W. (2005). Employment, Wages and Income Distribution (Critical essays in economics). London : The Taylor & Francis e Library.
29. Susel, Aleksander. (2011). Multifle Classification Analysis, Theory and Aplication to Demography. ACTA Universitatis Lodziensis Folia Oeconomica.
30. Schiller, Bradley R. (2003). The Economy Today. Mc Graw Hill Irwin.
31. Wahyuni, Ribut Tri Nurul. Monika, Anugerah Karta. (2016). The Impact Of EducationOn Income Inequality Among Indonesian Workers, Jurnal Kependudukan Indonesia, Vol.11, (15–28).
32. Wannakrairoj, Wit. (2013). The Effect of Education and Experience on Wages : The Case Study of Thailand in 2012, Seatle, Southeast Asian Journal of Economics 1(1), (27-48).
33. Yasin, Ghulam, Chaudhry, I. S., & Afzal, S. (2010). The Determinants of Gender Wage Discrimination in Pakistan: Econometric Evidence from Punjab Province. Asian Social Science Vol. 6, No. 11; (November 2010).
34. Diorge jônatas marmitt, shanna bitencourt, amanda do couto e silva, márcia inês goettert, claudete rempel (2016) medicinal plants of renisus with analgesic activity. Journal of Critical Reviews, 3 (3), 1-4.
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