Level of Poverty in Cities and Regencies
DOI:
https://doi.org/10.32662/golder.v0i0.2524Keywords:
Poverty Rate, Pooled least Square (PLS), Fixed Effect Model (FEM), Random Effect Model (REM)Abstract
This study analyzes the poverty rate of regencies/cities on the island of Sumatra using quantitative methodology. Panel data regression analysis techniques with Pooled least Square (PLS), Fixed Effect Model (FEM), and Random Effect Model (REM). The panel data in the study is a combination of time series data for 2010-2019 with cross-section data from 153 regencies/cities on the island of Sumatra. The purpose of the study was to find the best panel data regression model and determine the variables that affect the poverty rate of regencies/cities on the island of Sumatra. The results of the research analysis found a fixed effect model (FEM) as the best model for analyzing the poverty rate (P0) of regencies/cities on the island of Sumatra. Access to electricity, access to adequate drinking water, acquisition of GRDP and government capital expenditure are variables that have a significant impact on the poverty rate (P0). Access to sanitation and population are not variables that affect the level of poverty (P0). The managerial implications of the government prioritize increasing district/city GRDP to reduce poverty.
References
Jurnal :
Aisah, R. N., Wibowo, A. S., Astuti, A., & Suherman. (2020). Kota Cilegon. 13(2), 315–328.
Azizah, E. W., Sudarti, & Kusuma, H. (2018). Pengaruh Pendidikan, Pendapatan Perkapita dan Jumlah Penduduk terhadap Kemiskinan di Provinsi Jawa Timur. Jurnal Ilmu Ekonomi, 2(1), 167–180.
Banerjee, R., Mishra, V., & Maruta, A. A. (2021). Energy poverty, health and education outcomes: Evidence from the developing world. Energy Economics, 101(January), 105447. https://doi.org/10.1016/j.eneco.2021.105447
Christiani, N. V., & Nainupu, A. E. (2021). Pengaruh Akses Terhadap Internet , Listrik dan PDRB Per Kapita Terhadap Tingkat Kemiskinan di Nusa Tenggara Timur Tahun Penyedia Data Statistik Berkualitas untuk Indonesia Maju Pengaruh Akses Terhadap Internet , Listrik Dan PDRB Per Kapita Terhadap. Jstar, 1(1), 37–52.
Ferezagia, D. V. (2018). Analisis Tingkat Kemiskinan di Indonesia. Jurnal Sosial Humaniora Terapan, 1(1), 1–6. https://doi.org/10.7454/jsht.v1i1.6
Gujarati, D. N., & Porter, D. C. (2012). Dasar-dasar ekonometrika. Erlangga.
Halim, I. T., Ramadhanty, A. P., Oscarini, D. R., Putra, G. M., Br Tobing, H. F., & Nooraeni, R. (2020). Faktor-Faktor yang Mempengaruhi Persentase Penduduk Miskin di Indonesia Tahun 2015-2018 Menggunakan Regresi Data Panel. Engineering, MAthematics and Computer Science (EMACS) Journal, 2(2), 55–63. https://doi.org/10.21512/emacsjournal.v2i2.6368
Jerome, A. (2011). Infrastructure, Economic Growth and Poverty Reduction in Africa. Journal of Infrastructure Development, 3(2), 127–151. https://doi.org/10.1177/097493061100300203
Lantu, Y. S. M., Koleangan, R. A. M., & Rotinsulu, T. O. (2019). Pengaruh Belanja Pemerintah Terhadap Pertumbuhan Ekonomi Dan Pengentasan Kemiskinan Di Kota Bitung. Jurnal Pembangunan Ekonomi Dan Keuangan Daerah, 19(2), 1–19. https://doi.org/10.35794/jpekd.15785.19.2.2017
Nguyen, C., Linh, V., & Nguyen, T. (2013). Urban poverty in Vietnam: determinants and policy implications. International Journal of Development Issues, 12(2), 110–139. https://doi.org/10.1108/IJDI-08-2012-0049
Nufus, J., & Ratna, H. (2021). Pengaruh PDB, Jumlah Penduduk Dan Indeks Pembangunan Manusia Terhadap Kemiskinan Pada Kab/Kota Di Provinsi Aceh. Jurnal Ekonomika Indonesia, 10(1), 33–43.
Putra, A. U., Putro, H. R. V., Budiman, L. S., Adlina, L., & Putri, R. F. (2020). Relation between gross domestic product (GDP) and poverty population in East Kalimantan Province from 2013 - 2017. IOP Conference Series: Earth and Environmental Science, 451(1). https://doi.org/10.1088/1755-1315/451/1/012108
Rusdarti, & Sebayang, L. K. (2013). Faktor-Faktor yang Mempengaruhi Tingkat Kemiskinan di Jawa Tengah. Jurnal Economia, 9, 1–9.
Saleh, S. (2002). Faktor-faktor penentu tingkat kemiskinan regional di Indonesia. 7(2), 87–102.
Sendouw Agustien, A.Rumate, V., & Rotinsulu, D. C. (2017). Pengaruh Belanja Modal, Belanja Sosial, Dan Pertumbuhan Ekonomi Terhadap Tingkat Kemiskinan Di Kota Manado. Jurnal Pembangunan Ekonomi Dan Keuangan Daerah, 18(5), 1–15. https://ejournal.unsrat.ac.id/index.php/jpekd/article/view/15780
Sitepu, S. N. B. (2022). Analysis of Provincial Poverty in Indonesia (Case Study: Before the Covid 19 Pandemic and During the Covid 19 Pandemic). Gorontalo Development Review, 5(2), 72-86.
Sukartini, N. M., & Saleh, S. (2016). Akses Air Bersih di Indonesia Access to Clean Water in Indonesia. Jurnal Ekonomi Kuantitatif Terapan, 9(2), 89–98. https://www.neliti.com/publications/228355/akses-air-bersih-di-indonesia
Triono, M. O. (2018). Akses Air Bersih Pada Masyarakat Kota Surabaya Serta Dampak Buruknya Akses Air Bersih Terhadap Produktivitas Masyarakat Kota Surabaya. Jurnal Ilmu Ekonomi Terapan, 3(2), 143–153. https://doi.org/10.20473/jiet.v3i2.10072
Buku :
BPS. (2021). Produk Domestik Regional Bruto Kabupaten/Kota di Indonesia 2016-2020. Badan Pusat Statistik. Jakarta.
BPS. (2019.a). Persentase Penduduk Miskin (P0) Menurut Provinsi dan Daerah 2012-2019. Badan Pusat Statistik. Jakarta.
BPS. (2019.b) Akses Sanitasi Kabupaten/Kota Di Indonesia Tahun 2019. Badan Pusat Statistik. Jakarta.
BPS. (2019.c) Akses Air Minum Layak Kabupaten/Kota Di Indonesia Tahun 2019. Badan Pusat Statistik. Jakarta.
BPS. (2019.d) Akses Listrik Kabupaten/Kota Di Indonesia Tahun 2019. Badan Pusat Statistik. Jakarta.
Cheyne, C., O'Brien, M., & Belgrave, M. (1997). Social policy in Aotearoa New Zealand: A critical introduction. Auckland: Oxford University Press.
Payne, R. K. (2012). A framework for understanding poverty 10 actions to educate students. 1–24. www.ahaprocess.com
Ray, D. (1998). Development economics. Princeton University Press.
Downloads
Published
How to Cite
Issue
Section
License
Authors retain copyright and grant the journal right of first publication with the work under licensed under a Creative Commons Attribution 4.0 International License (CC-BY 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
