Determinants Of Life Expectancy: A Case Study By Gender In Indonesia In 2014-2023
Abstract
Study aims to analyze the determinants of life expectancy (LE) by gender across 34 provinces in Indonesia during the 2014–2023 period. The variables examined include health complaints, health facilities, Gross Regional Domestic Product (GRDP) per capita, education level, and poverty rate on male and female LE. The study employs panel data regression with a Fixed Effect Model approach. The results show that education and GRDP per capita have a positive and significant effect on both male and female LE. Health facilities have a significant effect only on male LE, while the poverty rate has a negative and significant effect on male LE but is not significant for females. Health complaints do not significantly affect LE for either gender. Simultaneously, all independent variables significantly influence both male and female LE. These findings highlight the importance of economic development, education, and access to health facilities in improving life expectancy in Indonesia.
References
Alwi, W., Sauddin, A., & Islamiah, M. N. (2023). Faktor-Faktor Yang Mempengaruhi Angka Harapan Hidup di Sulawesi Selatan Menggunakan Analisis Regresi. Jurnal Matematika Dan Statistika Serta Aplikasinya.
Ananta, P. , K. M. E. B. M. , & M. N. (2023). Public Spending, Corruption, and Human Development: Empirical Evidence In Middle-Income Countries. European Proceedings of Social and Behavioural Sciences.
Ardianti, vonita astri, Wibisono, S., & Jumiati, A. (2015). Faktor-Faktor yang Mempengaruhi Angka Harapan Hidup di Kabupaten Jember. Artikel Ilmiah Mahasiswa.
Badan Pusat Statistik. (2024a). Jumlah Rumah Sakit Umum, Rumah Sakit Khusus, Puskesmas, Klinik Pratama, dan Posyandu Menurut Provinsi. Https://Www.Bps.Go.Id/Id/Statistics-Table/3/YmlzemNGUkNVblZLVVhOblREWnZXbkEzWld0eVVUMDkjMyMwMDAw/Jumlah-Rumah-Sakit-Umum--Rumah-Sakit-Khusus--Puskesmas--Klinik-Pratama--Dan-Posyandu-Menurut-Provinsi.Html?Year=2020.
Badan Pusat Statistik. (2024b). Persentase Penduduk yang Mempunyai Keluhan Kesehatan menurut Provinsi, Tipe daerah dan Jenis Kelamin. Https://Www.Bps.Go.Id/Id/Statistics-Table/1/MTYxNyMx/Persentase-Penduduk-Yang-Mempunyai-Keluhan-Kesehatan-Menurut-Provinsi--Tipe-Daerah-Dan-Jenis-Kelamin--2009-2024.Html.
Badan Pusat Statistik. (2025a). Angka Harapan Hidup (AHH) Menurut Provinsi dan Jenis Kelamin, Tahun 2019-2023. Https://Www.Bps.Go.Id/Id/Statistics-Table/2/NTAxIzI=/Angka-Harapan-Hidup--Ahh--Menurut-Provinsi-Dan-Jenis-Kelamin--Tahun-.Html.
Badan Pusat Statistik. (2025b). Persentase Penduduk Miskin (P0) Menurut Provinsi dan Daerah (Persen). Https://Www.Bps.Go.Id/Id/Statistics-Table/2/MTkyIzI=/Persentase-Penduduk-Miskin--September-2024.Html.
Badan Pusat Statistik. (2025c). Produk Domestik Regional Bruto Per Kapita (Ribu Rupiah). Https://Www.Bps.Go.Id/Id/Statistics-Table/2/Mjg4IzI=/-Seri-2010--Produk-Domestik-Regional-Bruto-per-Kapita--Ribu-Rupiah-.Html.
Badan Pusat Statistik. (2025d). Rata-rata Lama Sekolah (RLS) menurut Jenis Kelamin (Tahun). Https://Www.Bps.Go.Id/Id/Statistics-Table/2/NDU5IzI=/Rata-Rata-Lama-Sekolah-Rls-Menurut-Jenis-Kelamin.Html.
Gujarati, D. N. , & P. D. C. (2006). Dasar-dasar Ekonometrika. Edisi ke-3. Penerbit Erlangga.
Halicioglu, F. (2011). Modeling life expectancy in Turkey. Economic Modelling, 28(5), 2075–2082. https://doi.org/10.1016/j.econmod.2011.05.002
Maryani, H., & Kristiana, L. (2017). PEMODELAN ANGKA HARAPAN HIDUP (AHH) LAKI-LAKI DAN PEREMPUAN DI INDONESIA TAHUN 2016 Modeling Life Expectancy for Men and Women in Indonesia 2016. https://doi.org/10.22435/hsr.v21i2.245.71-81
Neuman, S. B. , & D. D. K. (2003). Handbook of early literacy research.
Novitasari, N. I., Suharno, S., & Arintoko, A. (2021). Pengaruh Keluhan Kesehatan terhadap Indeks Pembangunan Manusia Di Provinsi Jawa Timur. Jurnal Ilmiah Universitas Batanghari Jambi, 21(1), 239. https://doi.org/10.33087/jiubj.v21i1.1310
Pinho-Gomes, A. C., Vassallo, A., Carcel, C., Peters, S., & Woodward, M. (2022). Gender equality and the gender gap in life expectancy in the European Union. BMJ Global Health, 7(2). https://doi.org/10.1136/bmjgh-2021-008278
Santoso, B. S. E. (2023). Analisis Tingkat Kemiskinan di Provinsi Jawa Barat Tahun 2017-2021. PRIMANOMICS : JURNAL EKONOMI DAN BISNIS , 21(2).
Setyadi, S., Didu, S., Indriyani, L., Kurnia Fitri, A., & Widiastuti, A. (2023). Modeling Life Expectancy in Indonesia Using System GMM Model. In Review of Applied Socio-Economic Research (Vol. 25).
Tafran, K., Tumin, M., & Farid Osman, A. (2020). Poverty, Income, and Unemployment as Determinants of Life Expectancy: Empirical Evidence from Panel Data of Thirteen Malaysian States. In Iran J Public Health (Vol. 49, Issue 2). http://ijph.tums.ac.ir
Todaro, M. P. , & S. S. C. (2011). Pembangunan Ekonomi. Erlangga.
Veugelers, P. J. , Y. A. M. , & K. G. (2001). Proximate and contextual socioeconomic determinants of mortality: multilevel approaches in a setting with universal health care coverage. American Journal of Epidemiology, 154(8), 725–732.
Wahyuni, C., Sumargo, B., & Meidianingsih, Q. (2023). Penerapan Analisis Jalur (Path Analysis) dalam Menentukan Faktor-faktor yang Memengaruhi Angka Harapan Hidup di Wilayah Indonesia Bagian Tengah. Jurnal Statistika Dan Aplikasinya, 7(1).
Wardhana, A., & Kharisma, B. (2023). INFRASTRUCTURE AND HEALTH EXPENDITURE ON QUALITY OF LIFE IN INDONESIA. Jurnal Ekonomi, Pendidikan, Dan Akuntansi. https://doi.org/10.25157/je.v11i2.12125
Widarjono, A. (2018). Ekonometrika. PP STIM YKPN.
Wooldridge, J. M. (2016). Introductory Econometrics: A Modern Approach 6rd ed. In Cengage learning.





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