Determinants of Elderly Income in Indonesia During the Covid-19 Pandemic
DOI:
https://doi.org/10.23887/ijssb.v8i3.81507Keywords:
Income, elderly population, Covid-19 PandemicAbstract
This study aimed to determine the factors that influence the income of the elderly during the Covid-19 pandemic. This study uses a quantitative approach with a panel data design. The data used are macro data issued by the Central Statistics Agency in 2019, 2020 and 2021 (Covid-19 pandemic period). The results of the study showed a significant decrease in the average income of the elderly both nationally and in each province during the COVID-19 pandemic in 2019 - 2021. There was a decrease in the average income of the elderly in 2019 - 2020 by 6.92 percent and 7.02 percent in 2020 - 2021. The results of multiple regression analysis using panel data showed that only one variable, the Allocation of elderly working time, had a significant effect on the average income of the elderly in Indonesia. The other three variables that did not have a significant effect were the number of elderly working, education and health of the elderly. During the COVID-19 pandemic, the main problem faced by the elderly is the implementation of social distancing and physical distancing, and the government's policy of Large-Scale Social Restrictions (PSBB) has a direct impact on reducing the Allocation of working time for the elderly, which then has an impact on reducing the income of the elderly.References
Azimah, R. N., Khasanah, I. N., Pratama, R., Azizah, Z., Febiantoro, W., & Purnomo, S. R. S. (2020). Analisis Dampak Covid-19 Terhadap Sosial Ekonomi Pedagang di Pasar Klaten dan Wonogiri. Empati: Jurnal Ilmu Kesejahteraan Sosial, 9.
Badan Pusat Statistik Jambi. (2020). Kajian Dampak Covid-19 terhadap Kondisi Sosial dan Ekonomi Masyarakat Provinsi Jambi. In BPS Provinsi Jambi (Issue 27).
BPS. (2019). Statistik Penduduk Lanjut Usia 2019. BPS.
BPS. (2021a). Hasil Sensus Penduduk 2020. BPS.
BPS. (2021b). Statistik Penduduk Lansia Usia 2021. Badan Pusat Statistik.
BPS Jambi. (2020). Analisis Isu Terkini Kajian Dampak Covid-19 Terhadap Kondisi Sosial dan Ekonomi Masyarakat Provinsi Jambi. Badan Pusat Statistik Provinsi Jambi.
Craig, L., & Churchill, B. (2021). Working and Caring at Home: Gender Differences in the Effects of Covid-19 on Paid and Unpaid Labor in Australia. Feminist Economics, 27(1–2), pp. 310–326. https://doi.org/10.1080/13545701.2020.1831039
Dubois, H., Nivakoski, S., Fóti, K., Patrini, V., & Mascherini, M. (2022). COVID-19 and older people: Impact on their lives, support and care.
Gujarati, D. N. (2003). Basic Econometrics (L. Sutton (ed.); 4th ed.). McGraw-HiII/lrwin.
Hakim, L. N. (2020). Perlindungan Lanjut Usia Pada Masa Pandemi Covid-19. Kajian Singkat Terhadap Isu Aktual Dan Strategis, XII.
Handayani, D., Hadi, D. R., Isbaniah, F., Burhan, E., & Agustin, H. (2020). Penyakit Virus Corona 2019. Jurnal Respirologi Indonesia, 40(1), 119–129.
Hutapea, R. (2005). Sehat dan Ceria Di Usia Senja. Rhineka Cipta.
Khan, M. A., Chin, K. S., & SPR, C. R. (2021). Impact of the COVID-19 Pandemic on the Financial Well-being of Older Adults in Malaysia. International Journal of Management, Economics and Social Sciences, 10 (2-3), pp. 140–155.
Levkovich, I., & Altman, S. S. (2021). Impact of the COVID-19 pandemic on stress and emotional reactions in Israel: a mixed-methods study. International Health, 13, 358–366.
Morrow-Howell, N., Galucia, N., & Swinford, E. (2020). Recovering from the COVID-19 Pandemic: A Focus on Older Adults. Journal of Aging and Social Policy, 32(4–5), pp. 526–535. https://doi.org/10.1080/08959420.2020.1759758
Nelson, J. M. (2009). Psychology, Religion, and Spirituality. Valparaiso.
Pariding, K. A., Anwar, C., Paembonan, L., & Sir, S. Y. (2023). The Impact OF Covid-19 Pandemic on Working Time Allocation and Income: A Study of Elderly Population in Indonesia. Intern. Journal of Profess. Bus. Review (JPB), 8, 1–17.
Parinding, K. A., Anwar, C., Suparman, & Paembonan, L. (2021). The Work Participation of the Elderly during the COVID-19 Pandemic in Palu City. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 4, 13609–13619. https://doi.org/https:doi.org/10-33258/birci.4i4.3445
Prayitno, S. (1999). PENDUDUK LANJUT USIA: Tinjauan Teori, Masalah dan Implikasi Kebijakan. Masyarakat, Kebudayaan Dan Politik, XII(4), 45–50.
PUSPENSOS. (2020). Menganalisa Masalah Sosial Ekonomi Masyarakat Terdampak Covid-19. Pusat Penyuluhan Sosial. https://puspensos.kemensos.go.id/menganalisa-masalah-sosial-ekonomi-masyarakat-terdampak-covid-19
R.I. (1998). Undang-Undang Nomor 13 Tentang Kesejahteraan Lansia (pp. 1–24). Pemerintah Republik Indonesia.
Republika. (2020). Perlu Perhatian Lebih ke Lansia Saat Pandemi ini. Republika. https://republika.co.id/berita/qjy20v380/perlu-perhatian-lebih-ke-lansia-saat-pandemi-ini
TNP2K. (2020). Kerentanan Lansia Di Masa Wabah Covid-19. TNP2K. http://tnp2k.go.id/articles/vulnerability-of-the-elderly-amid-the-covid-19-outbreak:-efforts-to-ensure-comprehensive-social-protection-to-address-vulnerability
Tristanto, A. (2020). Dukungan Kesehatan Jiwa dan Psikososial (DKJPS) dalam Pelayanan Sosial Lanjut Usia pada Masa Pandemi COVID-19. Sisio Informa, 6(2), 205–222.
Wibowo, F. W., & Wihayati. (2021). Prediction Modelling of COVID-19 on Provinces in Indonesia Using Long Short-Term Memory Machine Learning. Journal of Physics: Conference Series, 1844(1). https://doi.org/10.1088/1742-6596/1844/1/012006
Widiastuti, A. (2018). Pengaruh Pendidikan, Jam Kerja, dan Pengalaman Kerja Terhadap Pendapatan Tenaga Kerja Lansia. Jurnal Pendidikan Dan Ekonomi, 7, 253–262.
World Health Organization. (2012). Definition of an older or elderly person.
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