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Abstract
The aims of this research are (1) to analyze and find out whether the variables of education level, wage rate, and economic growth jointly affect the absorption of labor in South Sulawesi Province. The data collection in this study was carried out using the library research method, with observations in 2012 - 2021, the data was obtained from the South Sulawesi Province Bappeda Office, as well as the respective Regency/City Bappeda Offices in Luwu Raya, as well as the Sulawesi Provincial BPS Office. South. Linear Regression Analysis is used to determine the relationship between the independent variable and the dependent variable. The results of the study show that together the independent variables of education level, wage rate, and economic growth have an effect on the dependent variable on employment in South Sulawesi Province during the 2012 - 2021 period. Among the three independent variables, it seems that the wage level is the factor that has the greatest influence on employment absorption in South Sulawesi Province. In connection with the results of this study, it is suggested to the Provincial Government of South Sulawesi to always pay attention to the level of public education, the number of wages received, and efforts to develop various economic sectors in this area so that economic growth can increase which in turn will increase employment and increasing social welfare.
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References
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References
Alam, G. M., Forhad, A. R., & Ismail, I. A. (2020). Can education as an ‘International Commodity’ be the backbone or cane of a nation in the era of fourth industrial revolution? - A Comparative study. Technological Forecasting and Social Change, 159, 120184. https://doi.org/https://doi.org/10.1016/j.techfore.2020.120184
Chen, X., Zou, D., Cheng, G., & Xie, H. (2020). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. Computers & Education, 151, 103855. https://doi.org/https://doi.org/10.1016/j.compedu.2020.103855
Dembińska, I., Kauf, S., Tłuczak, A., Szopik-Depczyńska, K., Marzantowicz, Ł., & Ioppolo, G. (2022). The impact of space development structure on the level of ecological footprint - Shift share analysis for European Union countries. Science of The Total Environment, 851, 157936. https://doi.org/https://doi.org/10.1016/j.scitotenv.2022.157936
Economou, F. (2019). Economic freedom and asymmetric crisis effects on FDI inflows: The case of four South European economies. Research in International Business and Finance, 49, 114–126. https://doi.org/https://doi.org/10.1016/j.ribaf.2019.02.011
Everett, E. N., Forstein, D. A., Bliss, S., Buery-Joyner, S. D., Craig, L. B., Graziano, S. C., Hampton, B. S., Hopkins, L., McKenzie, M. L., Morgan, H., Pradhan, A., & Page-Ramsey, S. M. (2019). To the Point: The expanding role of simulation in obstetrics and gynecology medical student education. American Journal of Obstetrics and Gynecology, 220(2), 129–141. https://doi.org/https://doi.org/10.1016/j.ajog.2018.10.029
Gioachin, F., Marx, I., & Scherer, S. (2023). Stratification of poverty risk: The importance of social class in four European countries. Social Science Research, 110, 102814. https://doi.org/https://doi.org/10.1016/j.ssresearch.2022.102814
Harris, J. (2022). Do wages fall when women enter an occupation? Labour Economics, 74, 102102. https://doi.org/https://doi.org/10.1016/j.labeco.2021.102102
Jackson, R. W., & Haynes, K. E. (2020). Shift–Share Analysis (A. B. T.-I. E. of H. G. (Second E. Kobayashi (red); bll 199–205). Elsevier. https://doi.org/https://doi.org/10.1016/B978-0-08-102295-5.10134-9
Jepsen, C., & Jepsen, L. (2022). Convergence over time or not? U.S. wages by sexual orientation, 2000–2019. Labour Economics, 74, 102086. https://doi.org/https://doi.org/10.1016/j.labeco.2021.102086
Khusaini, M. (2015). A Shift-share Analysis on Regional Competitiveness - A Case of Banyuwangi District, East Java, Indonesia. Procedia - Social and Behavioral Sciences, 211, 738–744. https://doi.org/https://doi.org/10.1016/j.sbspro.2015.11.097
Lay, S. H. (2020). Bank credit and economic growth: Short-run evidence from a dynamic threshold panel model. Economics Letters, 192, 109231. https://doi.org/https://doi.org/10.1016/j.econlet.2020.109231
Myers, J. P., & Rivero, K. (2020). Challenging preservice teachers’ understandings of globalization: Critical knowledge for global citizenship education. The Journal of Social Studies Research, 44(4), 383–396. https://doi.org/https://doi.org/10.1016/j.jssr.2020.05.004
Roux, C., Willis, S., & Weyermann, C. (2021). Shifting forensic science focus from means to purpose: A path forward for the discipline? Science & Justice, 61(6), 678–686. https://doi.org/https://doi.org/10.1016/j.scijus.2021.08.005
Shahbaz, M., Raghutla, C., Chittedi, K. R., Jiao, Z., & Vo, X. V. (2020). The effect of renewable energy consumption on economic growth: Evidence from the renewable energy country attractive index. Energy, 207, 118162. https://doi.org/https://doi.org/10.1016/j.energy.2020.118162
Tascione, V., Mosca, R., & Raggi, A. (2021). A proposal of an economic optimization model for sustainable waste management. Journal of Cleaner Production, 279, 123581. https://doi.org/https://doi.org/10.1016/j.jclepro.2020.123581