Poverty in Indonesia: An Application of Error Correction Model (ECM) Approach

Authors

  • Teuku Fazil Muttaqin Department of Economics, Faculty of Economics and Business, Universitas Syiah Kuala, Banda Aceh, Indonesia
  • Raja Masbar Department of Economics, Faculty of Economics and Business, Universitas Syiah Kuala, Banda Aceh, Indonesia
  • Abd. Jamal Department of Economics, Faculty of Economics and Business, Universitas Syiah Kuala, Banda Aceh, Indonesia

DOI:

https://doi.org/10.56225/ijassh.v2i1.113

Keywords:

poverty, unemployment, household per capita expenditures, ICT, error correction model

Abstract

Poverty is one of the biggest concerns of the Indonesian government currently towards achieving social welfare. Indonesia's poverty tends to experience a downward trend but has not yet reached its target. This study analyses the long-term and short-term effects of unemployment, household per capita expenditure and ICT on poverty. This study uses panel data with the ECM approach in 34 provinces in Indonesia from 2015 to 2021. The result indicated that unemployment does not affect poverty in the long and short term. Meanwhile, per capita, household spending, and ICT negatively affect poverty in Indonesia. The government's efforts to overcome unemployment have been reasonable because unemployment does not affect poverty. The government can control household per capita expenditure through socialization or household education to prioritise basic needs first to achieve prosperity. Increasing the reach of ICT development in Eastern Indonesia and areas where ICT facilities are inadequate increases ICT access, use and expertise in reducing poverty.

References

Ahmed, A., & Al‐Roubaie, A. (2013). Poverty reduction in the Arab world: the use of ICTs. World Journal of Science, Technology and Sustainable Development, 10(3), 195–211. https://doi.org/10.1108/WJSTSD-02-2013-0014

Ajija, S. R., Sari, D. W., Setianto, R. H., & Primanti, M. R. (2011). Cara cerdas menguasai Eviews. In Jakarta: Salemba Empat (1st ed.). PT. Salemba Empat.

Alisjahbana, A., & Yusuf, A. A. (2003). Poverty dynamics in Indonesia: panel data evidence. In Department of Economics, Padjadjaran University.

Annur, R. A. (2013). Faktor-faktor yang mempengaruhi kemiskinan di kecamatan jekulo dan mejobo kabupaten kudus tahun 2013. Economics Development Analysis Journal, 2(4), 409–426.

Anser, M. K., Yousaf, Z., Nassani, A. A., Alotaibi, S. M., Kabbani, A., & Zaman, K. (2020). Dynamic linkages between poverty, inequality, crime, and social expenditures in a panel of 16 countries: two-step GMM estimates. Journal of Economic Structures, 9(1), 43. https://doi.org/10.1186/s40008-020-00220-6

Asongu, S., Amari, M., Jarboui, A., & Mouakhar, K. (2021). ICT dynamics for gender inclusive intermediary education: Minimum poverty and inequality thresholds in developing countries. Telecommunications Policy, 45(5), 102125. https://doi.org/10.1016/j.telpol.2021.102125

Bandyopadhyay, S. (2014). Are Mass Media and ICTs Associated with Inequality and Poverty? In Economic Well-Being and Inequality: Papers from the Fifth ECINEQ Meeting (Vol. 22, pp. 185–216). Emerald Group Publishing Limited. https://doi.org/10.1108/S1049-258520140000022005

Bista, A. (2010). A Study of Association Among Rural Houshehold Expenditure Inequality, Asset Inequality, and Poverty.

Central Bureau of Statistics. (2021). Technology, Information and Communication Development Index.

Cholili, F. (2014). Analisis Pengaruh Pengangguran, Produk Domestik Regional Bruto (PDRB) Dan Indeks Pembangunan Manusia (IPM) Terhadap Jumlah Penduduk Miskin (Studi Kasus 33 Provinsi Di Indonesia). 5(5), 557–577.

Christiani, N. V., & Nainupu, A. E. (2021). Pengaruh Akses Terhadap Internet, Listrik dan PDRB Per Kapita Terhadap Tingkat Kemiskinan di Nusa Tenggara Timur Tahun 2015-2019. Jurnal Statistika Terapan (ISSN 2807-6214), 1(1), 37–52.

Gilarso, T. (2004). Pengantar ilmu ekonomi makro. Kanisius.

Gujarati, D., & Porter, D. C. (2006). Fundamentals of econometrics. In Jakarta: Penerbit Erlangga.

Halim, M. A. (2012). Teori Ekonomi Edisi I. Jelajah Nusa.

Hamzah, R. A., & Handri, H. (2017). Analisis Interest Rate Pass-Through Pada Mekanisme Transmisi Kebijakan Moneter Indonesia. EKONOMIS : Journal of Economics and Business, 1(1), 125–135. https://doi.org/10.33087/ekonomis.v1i1.13

Hasballah, I. (2021). Pengaruh Tingkat Pengangguran Terbuka Terhadap Kemiskinan Provinsi Aceh di Kabupaten/Kota. Jurnal Al-Fikrah, 10(1), 38–48.

Hoang, T. X., Pham, C. S., & Ulubaşoğlu, M. A. (2014). Non-Farm Activity, Household Expenditure, and Poverty Reduction in Rural Vietnam: 2002–2008. World Development, 64(1), 554–568. https://doi.org/10.1016/j.worlddev.2014.06.027

Holtman, A. G., & Yap, L. (1978). Does punishment pay. Public Finance, 33(1–2), 90–97.

Hoover, G. A., & Wallace, G. (2007). Examining the Relationship Between the Poverty Rate and Economic Conditions in the Southern United States. Journal of Income Distribution®, 16(1), 132–143. https://doi.org/10.25071/1874-6322.2745

Juairiyah, O., & Hendrixon, H. (2017). Penerapan E-Office Dalam Administrasi Perkantoran. Jurnal Pembangunan Nagari, 2(1), 75–84.

Kahar, M. (2010). Analisis Pola Konsumsi Daerah Perkotaan Dan Pedesaan Serta Keterkaitannya Dengan Karakteristik Sosial Ekonomi Di Propinsi Banten.

Konečný, Z. (2016). Corporate Life Cycle as a Tool to Solve Technological Unemployment Just as to Lift Out of Poverty. Procedia - Social and Behavioral Sciences, 220, 191–199. https://doi.org/10.1016/j.sbspro.2016.05.484

Meimela, A. (2019). Model pengaruh tingkat setengah pengangguran, pekerja informal dan pengeluaran perkapita disesuaikan terhadap kemiskinan di Indonesia tahun 2015-2017. Jurnal Ilmu Ekonomi Dan Pembangunan, 19(1), 7–13.

Mora-Rivera, J., & García-Mora, F. (2021). Internet access and poverty reduction: Evidence from rural and urban Mexico. Telecommunications Policy, 45(2), 102076. https://doi.org/10.1016/j.telpol.2020.102076

Murdiyana, M., & Mulyana, M. (2017). Analisis Kebijakan Pengentasan Kemiskinan Di Indonesia. Jurnal Politik Pemerintahan Dharma Praja, 10(1), 73–96. https://doi.org/10.33701/jppdp.v10i1.384

Mushtaq, R., & Bruneau, C. (2019). Microfinance, financial inclusion and ICT: Implications for poverty and inequality. Technology in Society, 59, 101–154. https://doi.org/10.1016/j.techsoc.2019.101154

Nansadiqa, L., Masbar, R., & Majid, M. S. A. (2019). Does economic growth matter for poverty reduction in Indonesia. East African Scholars Journal of Economics, Business and Management, 2(2), 2–7.

Nisa, K., & Budiarti, W. (2020). Pengaruh teknologi informasi dan komunikasi terhadap tingkat kemiskinan di Indonesia tahun 2012-2017. Seminar Nasional Official Statistics, 2019(1), 759–768. https://doi.org/10.34123/semnasoffstat.v2019i1.186

Njangang, H., Beleck, A., Tadadjeu, S., & Kamguia, B. (2022). Do ICTs drive wealth inequality? Evidence from a dynamic panel analysis. Telecommunications Policy, 46(2), 102246. https://doi.org/10.1016/j.telpol.2021.102246

Olayungbo, D. O. (2021). Global oil price and food prices in food importing and oil exporting developing countries: A panel ARDL analysis. Heliyon, 7(3), e06357. https://doi.org/10.1016/j.heliyon.2021.e06357

Papadakis, N., Amanaki, E., Drakaki, M., & Saridaki, S. (2020). Employment/ unemployment, education and poverty in the Greek Youth, within the EU context. International Journal of Educational Research, 99, 101503. https://doi.org/10.1016/j.ijer.2019.101503

Pertiwi, B. P., & Sudarsono, H. (2021). Analisis Likuiditas Bank Umum Syariah dengan Pendekatan Autoregressive distributed lag (ARDL). Al-Tijary, 6(2), 113–128. https://doi.org/10.21093/at.v6i2.3163

Pranata, Y. O. R. (2013). Pengaruh Pertumbuhan Ekonomi, Upah Minimum, Tingkat Pengangguran Terbuka, Dan Inflasi Terhadap Kemiskinan Di Indonesia Tahun 2009-2011. Semarang: UNS.

Psacharopoulos, G., & Nguyen, X. N. (1997). The role of government and the private sector in fighting poverty (Vol. 346). World Bank Publications.

Putra, I., & Arka, S. (2016). Analisis Pengaruh Tingkat Pengangguran Terbuka, Kesempatan Kerja, Dan Tingkat Pendidikan Terhadap Tingkat Kemiskinan Pada Kabupaten/Kota Di Provinsi Bali. EP Unud, 7(3), 416–444.

Ruhyana, N. F., & Essa, W. Y. (2020). Opportunities of Using Information and Communication Technology in Reducing Poverty. JEJAK, 13(2), 319–331. https://doi.org/10.15294/jejak.v13i2.25036

Sangadah, S. K., Laut, L. T., & Jalunggono, G. (2020). Pengaruh faktor-faktor penyebab kemiskinan di Kabupaten Kebumen tahun 2009-2018. DINAMIC: Directory Journal of Economic, 2(1), 229–243.

Santika, T., Wilson, K. A., Law, E. A., St John, F. A. V, Carlson, K. M., Gibbs, H., Morgans, C. L., Ancrenaz, M., Meijaard, E., & Struebig, M. J. (2021). Impact of palm oil sustainability certification on village well-being and poverty in Indonesia. Nature Sustainability, 4(2), 109–119. https://doi.org/10.1038/s41893-020-00630-1

Sarti, S., Terraneo, M., & Tognetti Bordogna, M. (2017). Poverty and private health expenditures in Italian households during the recent crisis. Health Policy, 121(3), 307–314. https://doi.org/10.1016/j.healthpol.2016.12.008

Setyaningsih, R. (2017). Peran Teknologi Informasi dan Komunikasi dalam Mengentaskan Kemiskinan Perkotaan (Studi Kasus pada Komunitas Punk di Kota Yogyakarta). Perspektif Komunikasi: Jurnal Ilmu Komunikasi Politik Dan Komunikasi Bisnis, 1(1).

Suripto, S., & Subayil, L. (2020). Pengaruh Tingkat Pendidkan, Pengangguran, Pertumbuhan Ekonomi Dan Indeks Pembangunan Manusia Terhadap Kemiskinan Di D.I.Yogyakarta Priode 2010-2017. GROWTH Jurnal Ilmiah Ekonomi Pembangunan, 1(2), 127–143.

Todaro, M. P., & Smith, S. C. (2015). Economic development (12th ed.). Pearson Education. New York.

Tuankotta, K. (2012). Hubungan Pengeluaran Rumah Tangga untuk Makanan dengan Kecukupan Total Asupan Energi pada Anak Usia 24-59 Bulan di Provinsi Jawa Barat Tahun 2010 (Analisis Data Sekunder Riskesdas 2010). In Skripsi. Universitas Indonesia. Depok.

Turner, J. B. (1995). Economic Context and the Health Effects of Unemployment. Journal of Health and Social Behavior, 36(3), 213. https://doi.org/10.2307/2137339

Ukpere, W. I., & Slabbert, A. D. (2009). A relationship between current globalisation, unemployment, inequality and poverty. International Journal of Social Economics, 36(1/2), 37–46. https://doi.org/10.1108/03068290910921172

United Nations Development Programme. (2016). Mercury Management for Sustainable Development. United Nations Development Programme.

Wardiansyah, M., Yulmardi, Y., & Bahri, Z. (2017). Analisis faktor-faktor yang mempengaruhi tingkat pengangguran (Studi kasus provinsi-provinsi se-Sumatera). E-Jurnal Ekonomi Sumberdaya Dan Lingkungan, 5(1), 13–18. https://doi.org/10.22437/jels.v5i1.3924

World Bank. (2004). Definition of Poverty. http://www.worldbank.org

Yin, X., Meng, Z., Yi, X., Wang, Y., & Hua, X. (2021). Are “Internet+” tactics the key to poverty alleviation in China’s rural ethnic minority areas? Empirical evidence from Sichuan Province. Financial Innovation, 7(1), 30. https://doi.org/10.1186/s40854-021-00236-2

Yu, L., & Li, X. (2021). The effects of social security expenditure on reducing income inequality and rural poverty in China. Journal of Integrative Agriculture, 20(4), 1060–1067. https://doi.org/10.1016/S2095-3119(20)63404-9

Yusof, S. A., & Duasa, J. (2010). Consumption patterns and income elasticities in Malaysia. Malaysian Journal of Economic Studies, 47(2), 91–106.

Zinyemba, O. (2014). The Alleviation of Rural Unemployment and Poverty Through Chicken Farming: A Case Study. University of Johannesburg (South Africa).

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Published

2023-02-28

How to Cite

Muttaqin, T. F., Masbar, R., & Jamal, A. (2023). Poverty in Indonesia: An Application of Error Correction Model (ECM) Approach. International Journal of Advances in Social Sciences and Humanities, 2(1), 73–83. https://doi.org/10.56225/ijassh.v2i1.113
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