Effect of Socio-Economic Characteristics and Cultural Areas on the Educated Poor in East Java Province
Abstract
Education is one way to save oneself from poverty. There are 19.5 percent of poor people in East Java who have completed education at the senior high school level and above but are still in poor condition. This study aims to examine the effect of socio-economic and regional characteristics on the status of the poor with upper secondary education in each cultural area in the province of East Java. Using the 2021 Susenas data which was analyzed with binary logistic regression, it was found that there were differences in socio-economic characteristics in each cultural area. Disability disorders and gender affect educated poverty in the Arek area but have no effect in the Pandalungan, Mataraman, and Madura Islands areas. Formal and informal sector jobs only have an effect in the Pandalungan area and have no effect in other areas. Choosing to work in the primary sector only affects the Mataraman area. While the factors of age, access to technology and use of the internet reduce the opportunities for poverty in all cultural areas.
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Keywords: Poverty, Logistic Regression, Susenas, educated poor, cultural areaFull Text:
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Alfian, M. G. T., & Soemardjan, S. (1980). Kemiskinan Struktural, Suatu Bunga Rampai. Malang: HIPIS.
Becker, G. S. (2009). Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago press.
Bhalla, S. S., Bhasin, K., & Virmani, A. (2022). Inequality : Evidence from.
Bilenkisi, F., Gungor, M. S., & Tapsin, G. (2015). The impact of household heads’ education levels on the poverty risk: The evidence from Turkey. Kuram ve Uygulamada Egitim Bilimleri, 15(2), 337–348. https://doi.org/10.12738/estp.2015.2.2354
Biyase, M., & Zwane, T. (2018). An empirical analysis of the determinants of poverty and household welfare in South Africa. The Journal of Developing Areas, 52(1), 115–130.
BPS. (2021). Data dan Infromasi Kemiskinan Kabupaten_Kota Tahun 2021. 1999(December), 1–6. https://www.bps.go.id/publication/2021/11/30/9e3602ea496ecc2f4751836f/data-dan-informasi-kemiskinan-kabupaten-kota-tahun-2021.html
Cheung, K. C.-K., & Chou, K.-L. (2016). Working poor in Hong Kong. Social Indicators Research, 129(1), 317–335.
Djojohadikusumo, S. (1994). Perkembangan Pemikiran Ekonomi Dasar Teori Ekonomi Pertumbuhan dan Ekonomi Pembangunan.
Effendi, T. N. (1992). Tinjauan Kritis Konsep Kebudayaan Kemiskinan†dalam Dinamika Ekonomi dan IPTEK dalam Pembangunan. PT Tiara Wacana: Yogyakarta.
Elam, C. (2002). Culture, poverty and education in Appalachian Kentucky. Education and Culture, 18(1), 10–13. https://about.jstor.org/terms%0Ahttps://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1484&context=eandc
Faharuddin, F., & Endrawati, D. (2022). Determinants of working poverty in Indonesia. Journal of Economics and Development. https://doi.org/10.1108/jed-09-2021-0151
Fernandes, N. (2020). Economic effects of coronavirus outbreak (COVID-19) on the world economy. https://ssrn.com/abstract=3557504
Guterres, A. (2020). The Sustainable Development Goals Report 2020. United Nations Publication Issued by the Department of Economic and Social Affairs, 1–64.
Haughton, J., & Khandker, S. (2009). Handbook on Poverty and Inequality. In Handbook on Poverty and Inequality (Vol. 1999, Issue December). https://doi.org/10.1596/978-0-8213-7613-3
Kılıç, İ. E., & Şahın, S. Ç. (2021). Poverty dynamics in Turkey: A multinomial logit model. Ekonomika , 100(2), 133–143. https://doi.org/10.15388/Ekon.2021.100.2.6
Majeed, M. T., & Malik, M. N. (2015). Determinants of household poverty: Empirical evidence from Pakistan. Pakistan Development Review, 54(4), 701–717. https://doi.org/10.30541/v54i4i-iipp.701-718
Najarzadeh, R., Rahimzadeh, F., & Reed, M. (2014). Does the Internet increase labor productivity? Evidence from a cross-country dynamic panel. Journal of Policy Modeling, 36(6), 986–993.
Ogwumike, F. O., & Akinnibosun, M. K. (2013). Determinants of poverty among farming households in Nigeria. Mediterranean Journal of Social Sciences, 4(2), 365–373. https://doi.org/10.5901/mjss.2013.v4n2p365
Pratomo, D. S. (2015). The Analysis of Underemployment in Indonesia: Determinants and its Implication. Procedia - Social and Behavioral Sciences, 211, 528–532. https://doi.org/https://doi.org/10.1016/j.sbspro.2015.11.070
Puspitasari, F., & Triscowati, D. W. (2022). Determinan rumah tangga pertanian miskin di provinsi Kalimantan Utara. Jurnal Ekonomika, 13(01).
Rahman, A., & Aulia, L. A. (2020). KAJIAN KARAKTERISTIK PEKERJA MISKIN (Studi Kasus di Provinsi Kalimantan Barat Tahun 2019). Seminar Nasional Official Statistics, 2020(1), 1254–1260. https://prosiding.stis.ac.id/index.php/semnasoffstat/article/view/681
Schultz, T. W. (1961). Investment in human capital. The American Economic Review, 51(1), 1–17.
Scott, A. M. (1986). Women and Industrialisation: Examining the ‘female Marginalisation’ thesis. The Journal of Development Studies, 22(4), 649–680. https://doi.org/10.1080/00220388608422004
Sekhampu, T. J. (2013). Determinants of Poverty in a South African Township. Journal of Social Sciences, 34(2), 145–153. https://doi.org/10.1080/09718923.2013.11893126
Shah, S. Z. A., Chaudhry, I. S., & Farooq, F. (2020). Poverty Status and Factors Affecting Household Poverty in Southern Punjab: An Empirical Analysis. Journal of Business and Social Review in Emerging Economies, 6(2), 437–451. https://doi.org/10.26710/jbsee.v6i2.1151
Sitorus, A. S., & Ananda, C. F. (2021). The Effect Of Education Level And Socio - Economic Characteristic On Household Poverty Status In Riau Islands Province Indonesia. 10(01).
Sugiharti, L., & Primanthi, M. R. (2017). The Determinants of Poverty: Case of Indonesia. 5(2), 29–34.
Sutarto, A., & Sudikan, S. Y. (2004). Pendekatan kebudayaan dalam pembangunan provinsi Jawa Timur. Jember: Pemerintah Provinsi Jawa Timur & Kompyawisda.
Todaro, M. P., & Smith, S. (2011). Pembangunan Ekonomi Jilid 1.
United Nations. (2021). The Sustainable Development Goals Report 2021. In United Nations publication issued by the Department of Economic and Social Affairs.
Wahyu Kusuma, G. (2021). Determinan Pekerja Miskin di Provinsi Sumatera Selatan Tahun 2020 dengan Regresi Multilevel Logistik Biner. Jurnal Statistika Dan Aplikasinya, 5(2), 198–207. https://doi.org/10.21009/jsa.05208
Zegeye, P. B. (2017). Determinants of Poverty in Rural Households (The Case of Damot Gale District in Wolaita Zone) A Household Level Analysis. International Journal of African and Asian Studies, 29, 68–75. www.iiste.org
DOI: https://doi.org/10.32535/jicp.v5i4.1930
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