Spatial Phenomenon of Multidimentional Poverty in Sumatera Island
Abstract
This research aims to analyze the conditions and developments, and factors affecting the provincial Multidimentional Poverty in Sumatera Island. The analysis methods that used in this research are spatial concepts and non-spatial concepts. The independent variable that used are Open Unemployment Rate, Per-capita Spending Rate, and The Level of Proper Sanitation. Results of this research suggest that Multidimentional Poverty shows a trend that decreases each year. Additionally, there is spatial autocorrelation of Multidimentional Poverty in the Province of Sumatera Island. Based on the estimation result, there is a positive significant effect of Open Unemployment Rate on Multidimentional Poverty without spatial concepts. And also, Per-capita Spending Rate as well as The Level of Proper Sanitation show a negative significant effect on Multidimentional Poverty without spatial concepts.
Keywords
Full Text:
PDFReferences
Alkire, S. (2015). Constructing a multidimensional poverty measure. OPHI Working Paper.
Anselin, L. (1998). Spatial Econometrics: Methods and Models. In Journal of Chemical Information and Modeling (Vol. 110, Issue 9).
Bass, H. H. (2009). Ragnar Nurkse’s development theory: Influences and perceptions. Ragnar Nurkse (1907-2007): Classical Development Economics and Its Relevance for Today, January 2009, 183–202. https://doi.org/10.7135/UPO9781843318194.011
BPS. (2018). Statistik Indonesia 2018 (BPS (ed.)). BPS.
Budiantoro, S., Fanggidae, V., Saputra, W., Maftuchan, A., & Artha, D. R. P. (2013). Multidimensional Poverty Index (MPI): Konsep dan Pengukurannya di Indonesia. PRAKARSA Economic Policy Working Paper.
Corcoran, M., & Hill, M. S. (1980). Unemployment and poverty. Social Service Review, 54(3), 407–413. https://doi.org/10.1086/643847
Gan, L. (2013). Income Inequality and Consumption in China. August.
Hurd, M., & Rohwedder, S. (2017). Economic Well-Being at Older Ages: Income- and Consumption-Based Poverty Measures in the HRS. Economic Well-Being at Older Ages: Income- and Consumption-Based Poverty Measures in the HRS. https://doi.org/10.7249/wr410
Mankiw, N. G. (2010). Macroeconomics (7th Ed). In Worth Publishers.
Massaid, A., Hanif, M., Febrianti, D., & Chamidah, N. (2019). Modelling of Poverty Percentage of Non-Food per Capita Expenditures in Indonesia Using Least Square Spline Estimator. IOP Conference Series: Materials Science and Engineering, 546(5). https://doi.org/10.1088/1757-899X/546/5/052044
Rizki, B., & Saleh, S. (2007). Keterkaitan Akses Sanitasi dan Tingkat Kemiskinan: Studi Kasus di Provinsi Jawa Tengah. http://www.ghbook.ir/index.php?name=مجموعه مقالات دومین هم اندیشی سراسری رسانه تلویزیون و سکولاریسم&option=com_dbook&task=readonline&book_id=13629&page=108&chkhashk=03C706812F&Itemid=218〈=fa&tmpl=component
Sukirno, S. (2011). Teori Pengantar Ekonomi Makro. In Jakarta.
Suryani, E., & Rachman, H. P. S. (2008). Perubahan Pola Konsumsi Pangan Sumber Karbohidrat di Perdesaan. Jurnal Pangan, 52(17), 13–25.
Thurow, L. C. (1967). The causes of poverty. Quarterly Journal of Economics, 81(1), 39–57. https://doi.org/10.2307/1879672
Widarjono, A. (2017). Ekonometrika Pengantar dan Aplikasinya. In UPP STIM YKPN. UPP STIM YKPN.
Wong, D. W.-S., & Lee, J. (2005). Statistical anaylysis of geographic information with ArcView GIS and ArcGIS. In Barnes & Noble (Vol. 1). https://www.barnesandnoble.com/w/statistical-analysis-of-geographic-information-with-arcview-gis-and-arcgis-david-w-s-wong/1101196076
DOI: https://doi.org/10.33258/birci.v5i1.4485
Article Metrics
Abstract view : 25 timesPDF - 22 times
Refbacks
- There are currently no refbacks.

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

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

_.gif)
















_.gif)



