Multidimensional Poverty:  Identification of Deprivation Characteristics of Papua's Population Poverty in 2020

Dedy Susanto; Titis Setya Wulandari

doi:10.14710/ijpd.6.2.56-66

DOI: https://doi.org/10.14710/ijpd.6.2.56-66

Multidimensional Poverty: Identification of Deprivation Characteristics of Papua's Population Poverty in 2020

*Dedy Susanto

- Badan Pusat Statistik Provinsi Papua, Indonesia

Titis Setya Wulandari - Badan Pusat Statistik Provinsi Papua, Indonesia

Received: 10 Sep 2021; Published: 31 Oct 2021.

Editor(s): Rukuh Setiadi, Ph.D

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

BibTex Citation Data :

@article{IJPD12508,
    author = {Dedy Susanto and Titis Setya Wulandari},
    title = {Multidimensional Poverty:  Identification of Deprivation Characteristics of Papua's Population Poverty in 2020},
    journal = {The Indonesian Journal of Planning and Development},
  volume = {6},
    number = {2},
    year = {2021},
    keywords = {deprivation; MPI; multidimensional poverty; Papua},
    abstract = {  Papua is a growing province with rich potential yet has the highest rate of poverty and lowest rank of HDI in Indonesia. As poverty has been measured limited on monetary alone, anti-poverty programs and policies have become limited. Although the first goal of the SDGs clearly states that poverty is a multidimensional problem. Thus, measuring multidimensional poverty in Papua is needed. This study uses a multidimensional poverty formulation (MPI) with the 2019 Seychelles framework compiled by OPHI and the Seychelles National Bureau of Statistics in four dimensions: Decent Living Standards, Health, Education, and Employment. Considering data availability, not all indicators are available in the March 2020 SUSENAS data, so a four-dimensional approach in 13 indicators is carried out to calculate multidimensional poverty in Papua.  As a result, the percentage of Papuans who experienced multidimensional poverty (H) was 71.2 percent, with the intensity (A) as 47.3 percent. The results show 0.337 points in MPI (M 0 ), meaning that the average deprivation experienced by all residents in Papua Province is 33.7 percent of the 13 indicators from MPI. The dimensions with the most significant contribution are health (0.301), then employment (0.266), education (0.258), and a decent standard of living (0.175). Based on area classification, there is an imbalance between the contribution of multidimensional poverty at urban and rural levels with 0.220 and 0.780.  This study found that Papuans experienced multidimensional poverty, the most deprived in the health dimension and indicators of school completion at least SMA or equivalent.  },
   issn = {2442-983X},   pages = {56--66}  doi = {10.14710/ijpd.6.2.56-66},
    url = {https://ejournal2.undip.ac.id/index.php/ijpd/article/view/12508}
}

Citation Format:

Abstract

Papua is a growing province with rich potential yet has the highest rate of poverty and lowest rank of HDI in Indonesia. As poverty has been measured limited on monetary alone, anti-poverty programs and policies have become limited. Although the first goal of the SDGs clearly states that poverty is a multidimensional problem. Thus, measuring multidimensional poverty in Papua is needed. This study uses a multidimensional poverty formulation (MPI) with the 2019 Seychelles framework compiled by OPHI and the Seychelles National Bureau of Statistics in four dimensions: Decent Living Standards, Health, Education, and Employment. Considering data availability, not all indicators are available in the March 2020 SUSENAS data, so a four-dimensional approach in 13 indicators is carried out to calculate multidimensional poverty in Papua.As a result, the percentage of Papuans who experienced multidimensional poverty (H) was 71.2 percent, with the intensity (A) as 47.3 percent. The results show 0.337 points in MPI (M₀), meaning that the average deprivation experienced by all residents in Papua Province is 33.7 percent of the 13 indicators from MPI. The dimensions with the most significant contribution are health (0.301), then employment (0.266), education (0.258), and a decent standard of living (0.175). Based on area classification, there is an imbalance between the contribution of multidimensional poverty at urban and rural levels with 0.220 and 0.780.This study found that Papuans experienced multidimensional poverty, the most deprived in the health dimension and indicators of school completion at least SMA or equivalent.

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Keywords: deprivation; MPI; multidimensional poverty; Papua

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In Vol 6, No 2 (2021): October 2021

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Irawati, I. R. (2019). Not in employment, education or training (NEET) among the youth in Indonesia: The effects of social activities, access to information, and language skills on NEET youth. Masyarakat: Jurnal Sosiologi, 24(1), 1–25. doi: 10.7454/MJS.V24I1.10308
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Kwadzo, Moses. (2010). Conceptualization and measurement of poverty: A comparative analysis. ProQuest Dissertations Publishing, Indiana University of Pennsylvania
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Naveed, A., Islam, T.U. (2010). Estimating multidimensional poverty and identifying the poor in Pakistan: An alternative approach. RECOUP Working Paper No. 28, Research Consortium on Educational Outcomes and Poverty. Retrieved from: https://assets.publishing.service.gov.uk/media/57a08b28e5274a31e00009ec/WP28-AN.pdf
Nazara, S. (2010). Ekonomi informal di Indonesia: Ukuran, komposisi dan evolusi. In International Labour Organization. Retrieved from: http://www.ilo.org/wcmsp5/groups/public/---asia/---ro-bangkok/---ilo-jakarta/documents/publication/wcms_145402.pdf
OPHI, & National Bureau of Statistics of Seychelles. (2020). Multidimensional poverty index - report 2020. July, 1–52. Retrieved from: http://hdr.undp.org/sites/default/files/2020_mpi_report_en.pdf
Otsubo, S., Dartanto, T. (2013). Measurements and determinants of multifaceted poverty: Absolute, relative, and subjective poverty in Indonesia. JICA-RI Working Paper No 54. Retrieved from: https://www.jica.go.jp/jica-ri/publication/workingpaper/wp_54.html
Probosiwi, R. (2016). Pengangguran dan pengaruhnya terhadap tingkat kemiskinan. Jurnal Penelitian Kesejahteraan Sosial, 15(2), 89–100
Sen, A. (1981). Poverty and famines, An essay on entitlement and deprivation. Retrieved from: https://oxford.universitypressscholarship.com/view/10.1093/0198284632.001.0001/acprof-9780198284635
Sharma, B. P., & Adhikari, D. B. (2020). Informal economy and poverty dynamics: A review. Quest Journal of Management and Social Sciences, 2(1), 130–140. doi: 10.3126/QJMSS.V2I1.29028
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Shorrocks, A., & Townsend, P. (1980). Poverty in the United Kingdom: A survey of household resources and standards of living. The Economic Journal, 90(360), 954. doi: 10.2307/2231776
Statistics Indonesia. (2014). Persentase rumah tangga dengan air minum layak. Retrieved from: https://sirusa.bps.go.id/sirusa/index.php/indikator/478
Statistics Indonesia. (2015). Rumah tidak layak huni. Retrieved from: https://sirusa.bps.go.id/sirusa/index.php/indikator/798
Statistics Indonesia. (2019). Definisi rumah layak huni. Retrieved from: https://www.bps.go.id/subject/29/perumahan.html
Statistics Indonesia. (2020a). Profil kemiskinan di Provinsi Papua Maret 2020
Statistics Indonesia. (2020b). Statistik kesejahteraan rakyat Provinsi Papua
Statistics Indonesia. (2021). Keadaan ketenagakerjaan Provinsi Papua Februari 2021
Streeten, P., Burki, S. J., Haq, M. ul, Hicks, N., & Stewart, F. (1981). First things first: Meeting basic human needs in developing countries. Oxford University Press
Sumargo, B., & Simanjuntak, N. M. M. (2019). Deprivasi utama kemiskinan multidimensi antarprovinsi di Indonesia. Jurnal Ekonomi dan Pembangunan Indonesia, 19(2), 160–172. doi: 10.21002/jepi.v19i2.793
Sumarto, S., & De Silva, I. (2014). Beyond the headcount: Examining the dynamics and patterns of multidimensional poverty in Indonesia. TNP2K Working Paper 21-2014. Jakarta: Tim Nasional Percepatan Penanggulangan Kemiskinan (TNP2K). Retrieved from: http://www.tnp2k.go.id/downloads/beyond-the-headcount-examining-the-dynamics-and-patterns-of-multidimensional-poverty-in-indonesia
Ustama, D. D. (2010). Peranan pendidikan dalam pengentasan kemiskinan. Dialogue: Jurnal Ilmu Administrasi dan Kebijakan Publik, 6(1), 1–12
Wardhana, D. (2010). Multidimensional poverty dynamics in Indonesia (1993 - 2007). School of Economics, The University of Nottingham, Dissertation
Zucker, G. S., & Weiner, B. (1993). Conservatism and perceptions of poverty: An attributional analysis. Journal of Applied Social Psychology, 23(12), 925–943. doi: 10.1111/J.1559-1816.1993.TB01014.X

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