SPATIAL DISTRIBUTION PATTERNS OF POVERTY AND ECONOMIC GROWTH FOR ACHIEVING SUSTAINABLE DEVELOPMENT TARGETS IN EAST JAVA PROVINCE

Siti Khoeriyah, Aulia Hapsari Juwita, Tedi Prayoga, Siti Nurlita Fitri

Abstract

Poverty and economic growth are still indicators of a country's success in managing its resources and population. Countries in the world have agreed to make poverty alleviation the first sustainable development priority. This article aims to look at the spatial distribution pattern of poverty and regional characteristics, as well as the pattern and structure of economic growth in city districts in East Java Province. The methods used include spatial autocorrelation analysis, regional financial capability analysis, Klassen typology, and regional characteristics analysis. Based on the pattern of poverty distribution for the period 2014 – 2023, poverty in East Java Province tends to change with the dominance of class 2 poverty. Sampang, Pamekasan and Sumenep regencies tend to experience a stable poverty pattern in Class 3. Pockets of poverty are clustered on Madura Island with a percentage poverty is above 18% and the characteristics of a low Human Development Index (HDI) value, low number of (people’s business credit (KUR) recipients, inadequate sanitation, not very high economic growth, and frequent flood disasters. As many as 65.78% of areas in East Java Province have high financial capacity, so that policy direction can be focused on poverty pocket areas with a high percentage of poverty, through increasing HDI, optimizing KUR, fulfilling adequate sanitation, increasing disaster response, and developing leading sectors. for increasing Original Regional Income (PAD) and economic growth.

Keywords

Poverty; Spatial Autocorrelation; Growth; Klassen Index

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References

Balasubramanian, P., Burchi, F., & Malerba, D. (2023). Does economic growth reduce multidimensional poverty? Evidence from low- and middle-income countries. World Development, 161(106119). https://doi.org/10.1016/j.worlddev.2022.106119

Balisacan, A. M. (2007). Why Does Poverty Persist in the Philippines? Facts, Fancies, and Policies. Discussion Paper Series Vol. 2007 No. 1, 202–221.

BAPPENAS. (2003). Peta Kemampuan Keuangan Provinsi Dalam Era Otonomi Daerah:Tinjauan atas Kinerja PAD, dan Upaya yang Dilakukan Daerah. Direktorat Pengembangan Otonomi Daerah.

BPS Indonesia. (2024). Statistik Indonesia 2024. https://www.bps.go.id/id/publication/2024/02/28/c1bacde03256343b2bf769b0/statistik-indonesia-2024.html

Budihardjo, A., Arianti, F., & Mas’ud, F. (2020). Pengaruh Investasi, Tenaga Kerja, dan Indeks Pembangunan Manusia Terhadap PDRB (Studi Kasus Kabupaten/Kota di Provinsi Jawa Tengah Tahun 2016-2018). Diponegoro Journal of Economics, 9(2), 1–9. https://doi.org/10.14710/djoe.31529

Fahad, S., Nguyen-Thi-Lan, H Nguyen-Manh, D., Tran-Duc, H., & To-The, N. (2023). Analyzing the status of multidimensional poverty of rural households by using sustainable livelihood framework: policy implications for economic growth. Environmental Science and Pollution Research, 30(6), 16106–16119. https://doi.org/10.1007/s11356-022-23143-0

Fujita, M., & Krugman, P. (2004). The new economic geography: Past, present and the future. Regional Science Volume 83, 139–164. https://doi.org/10.1007/s10110-003-0180-0

Hidayah, R. A. D. N., & Tallo, A. J. (2020). Analisis Ekonomi Provinsi Jawa Tengah Periode 2015-2019 dengan Metode Indeks Williamson, Tipologi Klassen dan Location Quotient. Aksara: Jurnal Ilmu Pendidikan Nonformal, 6(3), 97. https://doi.org/10.37905/aksara.6.3.339-350.2020

Hutter, S., Winkler, N., Sharma, N., & Seitz, J. (2023). Economic Growth Prediction and Performance Analysis of Developed and Developing Countries Using ARIMA, PCA, and k-Means Clustering. In Lecture Notes in Networks and Systems (LNNS, Volume 662) (pp. 221–233). Singapore: Springer. https://doi.org/10.1007/978-981-99-1414-2_18

Lee, J., & Wong, D. W. S. (2001). Statistical Analysis with ArcView GIS. New York: John Wiley & Sons.

Marrero, G. A., & Servén, L. (2022). Growth, inequality and poverty: a robust relationship? Empirical Economics, 63(2), 725–791. https://doi.org/10.1007/s00181-021-02152-x

Nardi, A., Siregar, H., & Mulatsih, S. (2023). Analisis Pola Spasial dan Sebaran Penduduk Miskin di Kabupaten Mandailing Natal. Tataloka, 25(2), 121–132. https://doi.org/10.14710/tataloka.25.2.121-132

Ngubane, M. Z., Mndebele, S., & Kaseeram, I. (2023). Economic growth, unemployment and poverty: Linear and non-linear evidence from South Africa. Heliyon, 9(10), e20267. https://doi.org/10.1016/j.heliyon.2023.e20267

Puspita, N. D. (2023). Analisis Indeks Kemampuan Keuangan Pemerintah Daerah Kabupaten Tanah Laut Provinsi Kalimantan Selatan. Institut Pemerintahan Dalam Negeri.

Rahayu, E. S. (2010). Analisis Tipologi Klassen pada Strategi Pengembangan Sub Sektor Pertanian Tanaman Pangan Kabupaten Boyolali. Journal of Rural and Development, 1(2), 105–121.

Ravallion, M. (2020). On Measuring Global Poverty. Annual Review of Economics, 12(1), 167–188. https://doi.org/10.1146/annurev-economics-081919-022924

Said, S. W., & Bakar, A. (2021). Analisis Tingkat Kemandirian, Efektivitas Dan Kemampuan Keuangan Daerah Kabupaten Mimika. Jurnal Kritis (Kebijakan, Riset, Dan Inovasi), 5(2), 1–20.

Singh, P. K., & Chudasama, H. (2020). Evaluating poverty alleviation strategies in a developing country. PLoS ONE, 15(1), 1–23. https://doi.org/10.1371/journal.pone.0227176

Sirodj, D. A. N., Sumertajaya, I. M., & Kurnia, A. (2023). Analisis Clustering Time Series untuk Pengelompokan Provinsi di Indonesia Berdasarkan Indeks Pembangunan Manusia Jenis Kelamin Perempuan. Statistika: Forum Teori Dan Aplikasi Statistika, 23(1), 29–37. https://doi.org/10.29313/statistika.v23i1.2181

Sjafrizal, S. (2008). Ekonomi Regional: Teori dan Aplikasi. Yogyakarta: Niaga Swadaya.

Vurry, A. N., Suwendra, I. W., & Yudiaatmaja, F. (2018). Analisis Kemampuan Keuangan Daerah Dan Trend Pada Pemerintah Kabupaten Buleleng. Bisma: Jurnal Manajemen, 4(2), 128–135.

Zhu, C., Zhou, Z., Ma, G., & Yin, L. (2021). Spatial differentiation of the impact of transport accessibility on the multidimensional poverty of rural households in karst mountain areas. Environment, Development and Sustainability, 24(1), 3863–3883. https://doi.org/10.1007/s10668-021-01591-x

DOI: https://doi.org/10.20961/jiep.v24i2.87818

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