ANALISIS KEMISKINAN RUMAH TANGGA SEKTOR INFORMAL DI PROVINSI JAWA TIMUR
Abstract
Salah satu tantangan utama dalam pengentasan kemiskinan terkait ketenagakerjaan adalah sejumlah besar pekerja di sektor informal. Penelitian ini bertujuan untuk mengetahui faktor-faktor di tingkat mikro dan makro yang mempengaruhi kemiskinan rumah tangga sektor informal di Provinsi Jawa Timur. Data yang digunakan dalam penelitian ini adalah data sekunder dari hasil SUSENAS Maret dan indikator makroekonomi BPS pada tahun 2021. Metode analisis yang digunakan adalah analisis multilevel logistik biner, yang memungkinkan penggunaan data dengan struktur hierarki. Hasil penelitian menunjukkan bahwa faktor-faktor di tingkat mikro yang memengaruhi status kemiskinan rumah tangga sektor informal di Provinsi Jawa Timur tahun 2021 adalah usia KRT, pendidikan KRT, akses KRT terhadap internet, sektor pekerjaan KRT, status pekerjaan KRT (pekerja bebas), jumlah jam kerja KRT, jumlah ART, jumlah ART bekerja, dan akses terhadap kredit. Selain itu, faktor di tingkat makro yang berpengaruh signifikan adalah PDRB per kapita.
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Amara, M., & Jemmali, H. (2018). Household and Contextual Indicators of Poverty in Tunisia: A Multilevel Analysis. Social Indicators Research, 137(1), 113–138. https://doi.org/10.1007/s11205-017-1602-8
Arsani, A. M., Ario, B., & Ramadhan, A. F. (2020). Impact of Education on Poverty and Health : Evidence from Indonesia. Economics Development Analysis Journal, 9(1), 87–96. https://doi.org/10.15294/edaj.v9i1.34921
Artha, D. R. P., & Dartanto, T. (2018). The multidimensional approach to poverty measurement in Indonesia: Measurements, determinants and its policy implications. Journal of Economic Cooperation and Development, 39(3), 1–38.
Becker, G. S. (1962). Investment in Human Capital: A Theoretical Analysis. Journal of Political Economy, 70(5, Part 2), 9–49. https://doi.org/10.1086/258724
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BPS. (2022b). Penghitungan Dan Analisis Kemiskinan Makro Indonesia 2022.
BPS Jawa Timur. (2023). Persentase Penduduk Miskin Menurut Kabupaten/Kota di Jawa Timur (Persen), 2021-2023. https://jatim.bps.go.id/indicator/23/497/1/persentase-penduduk-miskin-menurut-kabupaten-kota-di-jawa-timur.html diakses 31 januari 2023
Chen, K.-M., Leu, C.-H., & Wang, T.-M. (2019). Measurement and Determinants of Multidimensional Poverty: Evidence from Taiwan. Social Indicators Research, 145(2), 459–478. https://doi.org/10.1007/s11205-019-02118-8
Cheung, K. C.-K., & Chou, K.-L. (2016). Working Poor in Hong Kong. Social Indicators Research, 129(1), 317–335. https://doi.org/10.1007/s11205-015-1104-5
Dartanto, T., Moeis, F. R., & Otsubo, S. (2020). Intragenerational Economic Mobility in Indonesia: A Transition from Poverty to the Middle Class in 1993–2014. Bulletin of Indonesian Economic Studies, 56(2), 193–224. https://doi.org/10.1080/00074918.2019.1657795
Dartanto, T., & Nurkholis. (2013). The determinants of poverty dynamics in Indonesia: evidence from panel data. Bulletin of Indonesian Economic Studies, 49(1), 61–84. https://doi.org/10.1080/00074918.2013.772939
Faharuddin, F., & Endrawati, D. (2022). Determinants of working poverty in Indonesia. Journal of Economics and Development, 24(3), 230–246. https://doi.org/10.1108/JED-09-2021-0151
Faisal, I. A., & Rahadian, H. (2023). Analisis Dampak Penggunaan Internet Pada Pendapatan Pekerja Sektor Informal Di Perdesaan Dan Perkotaan Indonesia. Jurnal Ekonomi Dan Kebijakan Publik Indonesia, 10(1).
Girsang, P., & Auwalin, I. (2023). EVALUSI DAMPAK DANA KELURAHAN TERHADAP TINGKAT KEMISKINAN PERKOTAAN DI INDONESIA. Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA), 7(3), 1147–1161. https://doi.org/10.31955/mea.v7i3.3511
Herman, E. (2014). Working Poverty in the European Union and its Main Determinants: an Empirical Analysis. Engineering Economics, 25(4), 427–436. https://doi.org/10.5755/j01.ee.25.4.6339
Hox, J. J., Moerbeek, M., & Schoot, R. van de. (2017). Multilevel Analysis : Tecniques and Applications. In Routledge (third).
Hull, K. (2009). Understanding the Relationship between Economic Growth, Employment and Poverty Reduction. Promoting Pro-Poor Growth: Employment, 1(1), 69–94.
Jati, J. H., Giyarsih, S. R., & Muta’ali, L. (2021). The Influence of Characteristics of Worker and Business on the Income of Informal Sector Workers in Yogyakarta. Populasi, 29(1), 77. https://doi.org/10.22146/jp.67205
Jiang, Y., Huang, C., Yin, D., Liang, C., & Wang, Y. (2020). Constructing HLM to examine multi-level poverty-contributing factors of farmer households: Why and how? PLOS ONE, 15(1), e0228032. https://doi.org/10.1371/journal.pone.0228032
Nazara, S. (2010). Ekonomi Informal di Indonesia: Ukuran, Komposisi dan Evolusi. International Labour Organization (ILO). http://www.ilo.org/wcmsp5/groups/public/---asia/---ro-bangkok/---ilo-jakarta/documents/publication/wcms_145402.pdf
Øverby, H., & Audestad, J. A. (2021). Introduction to Digital Economics. Springer International Publishing. https://doi.org/10.1007/978-3-030-78237-5
Ratnasari, C. D. (2021). Internet Utilization and Income of Entrepreneurs in the Informal Sector. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi Dan Pembangunan, 22(2), 129–138. https://doi.org/10.23917/jep.v22i2.16094
Salam, A., Pratomo, D. S., & Saputra, P. M. A. (2021). Analisis kemiskinan pada rumah tangga di Jawa Timur melalui pendekatan multidimensi dan moneter. Jurnal Kependudukan Indonesia, 16(2), 127. https://doi.org/10.14203/jki.v16i2.480
Satiti, Q. K., & Yuliana, L. (2017). Determinan Kemiskinan Rumah Tangga Bekerja Di Perkotaan Dan Perdesaan Provinsi NTB Tahun 2017. Seminar Nasional Official Statistics 2018 :Kajian Kemiskinan Dari Perspektif Pengeluaran Dan Perilaku Menabung, 1–10. https://repository.unpad.ac.id/frontdoor/index/index/year/2020/docId/10168
Taufiq, N., & Dartanto, T. (2020). Education, informal turnover and poverty dynamics in Indonesia. International Journal of Economics and Management, 14(1), 157–172.
Tria, D., Harun, M., & Alam, M. (2022). Microcredit as a strategy for employment creation: A systematic review of literature. Cogent Economics & Finance, 10(1). https://doi.org/10.1080/23322039.2022.2060552
Wagle, U. (2002). Rethinking poverty: definition and measurement. International Social Science Journal, 54(171), 155–165. https://doi.org/https://doi.org/10.1111/issj.12192 https://doi. org/10.1111/1468-2451.00366
Wang, Y., Jiang, Y., Yin, D., Liang, C., & Duan, F. (2021). Examining Multilevel Poverty-Causing Factors in Poor Villages: a Hierarchical Spatial Regression Model. Applied Spatial Analysis and Policy, 14(4), 969–998. https://doi.org/10.1007/s12061-021-09388-1
Published
2024-04-19
How to Cite
Pulungan, M., & Haryanto, T. (2024). ANALISIS KEMISKINAN RUMAH TANGGA SEKTOR INFORMAL DI PROVINSI JAWA TIMUR. Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA), 8(1), 2244-2262. https://doi.org/10.31955/mea.v8i1.3962
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