DETERMINANTS OF WORKING STATUS OF THE ELDERLY POPULATION IN THE BANGKA BELITUNG ISLANDS PROVINCE

Sri Hapsari Murni Handayani

Abstract

This study examines the factors influencing employment among the elderly population in the Bangka Belitung Islands, where the elderly population increased by 41,85% from 2010 to 2020, reaching 8,27%. Notably, 45,38% of the elderly were employed in 2020. Using data from the 2020 National Socio-Economic Survey (SUSENAS), this research analyzes individuals aged 60 and above through descriptive analysis and binary logistic regression. The results indicate significant predictors of employment among the elderly include rural residency, being the head of the household, gender, age, and marital status. Specifically, elderly individuals who live in rural areas, are male, currently married, aged 60-69, and are household heads are more likely to be employed. In contrast, poverty status and education level do not significantly impact employment. This study highlights the demographic and social factors that influence the employment tendencies of the elderly, providing insights for policy development to support this population segment.

Keywords

Binary Logistic Regression; Elderly Population; Working Status

Full Text:

PDF

References

Abdulqader, Q. M. (2017). Applying the Binary Logistic Regression Analysis on The Medical Data. Science Journal of University of Zakho, 5(4), 330. https://doi.org/10.25271/2017.5.4.388

Affandi, M. (2009). Faktor-Faktor Yang Mempengaruhi Penduduk Lanjut Usia Memilih Untuk Bekerja. Journal of Indonesian Applied Economics, 3(2), 2–2009. https://doi.org/10.21776/ub.jiae.2009.003.02.6

Badan Pusat Statistik. (2020). Booklet Survei Angkatan Kerja Nasional Agustus 2020.

Badan Pusat Statistik. (2021a). Hasil Sensus Penduduk 2020.

Badan Pusat Statistik. (2021b). Indeks Pembangunan Manusia 2020.

Cicih, L. H. M., & Agung, D. N. (2022). Lansia di Era Bonus Demografi. Jurnal Kependudukan Indonesia, 17(1), 1–14. https://doi.org/10.14203/jki.v17i1.636

Giang, T. L., & Nguyen, T. H. D. (2016). Determinants of Work Decisions among Older People in Rural Vietnam. Journal of Population Ageing, 9(4), 289–303. https://doi.org/10.1007/s12062-016-9143-5

Hosmer, D. W., & Lemeshow, J. S. (2004). Applied Logistic Regression (Second Edi). New York: John Willey & Sons.

Jamalludin, J. (2020). Keputusan Pekerja Lansia tetap Bekerja Pascapensiun dan Kaitannya dengan Kebahagiaan. Jurnal Samudra Ekonomi Dan Bisnis, 12(1), 89–101. https://doi.org/10.33059/jseb.v12i1.2450

Junaidi, J., Erfit, E., & Prihanto, P. H. (2017). Faktor-faktor sosial ekonomi yang mempengaruhi keterlibatan penduduk lanjut usia dalam pasar kerja di Provinsi Jambi. Masyarakat, Kebudayaan Dan Politik, 30(2), 197. https://doi.org/10.20473/mkp.v30i22017.197-205

Kidd, S., Gelders, B., Rahayu, S. K., Larasati, D., Huda, K., & Siyaranamual, M. (2018). Implementing Social Protection for the Elderly in Indonesia. TNP2K (Tim Nasional Percepatan Penanggulangan Kemiskinan). https://www.tnp2k.go.id/download/95791Elderly Brief 2018 - English Version.pdf

Long, G. T., & Pfau, W. D. (2010). A Gender Perspective on Elderly Work in Vietnam. MPRA: Munich Personal RePEc Archive, 24946, 1–15. https://core.ac.uk/reader/213920300

Park, H. A. (2013). An introduction to logistic regression: From basic concepts to interpretation with particular attention to nursing domain. Journal of Korean Academy of Nursing, 43(2), 154–164. https://doi.org/10.4040/jkan.2013.43.2.154

UU Nomor 13 Tahun 1998 tentang Kesejahteraan Lanjut Usia, (1998).

Sumarsono, F. S. (2015). Analisis Partisipasi Kerja Penduduk Lanjut Usia. Jurnal Ilmiah Mahasiswa Fakultas Ekonomi Dan Bisnis Universitas Brawijaya, 4(1), 1–21. https://jimfeb.ub.ac.id/index.php/jimfeb/article/view/2435

Sun, L., Chang, J., Liu, Y., & Yang, Z. (2011). The urban rural sisparities of the elderly labor supply and income in China. Procedia Engineering, 15, 5274–5278. https://doi.org/10.1016/j.proeng.2011.08.977

DOI: https://doi.org/10.20961/jiep.v23i1.58032

Refbacks

  • There are currently no refbacks.