Analisis Disparitas Garis Kemiskinan Di Kabupaten Bone Bolango (Studi Kasus Kecamatan Kabila dan Kecamatan Bone Pantai)

Ilham Hamzah, Syarwani Canon, Ivan Rahmat Santoso

Abstract


Differences in economic conditions are one of the causes of income disparity in the community that triggers poverty in several regions. This study aims to determine whether there is an effect of differences in food and non-food commodity prices between Kabila District and Bone beach District. The research used a qualitative approach with descriptive methods. The sample in this study were 30 people. Data collection using observation, interviews and documentation. Data analysis techniques use reduction, data presentation, and conclusion drawing or verification. The results showed that the disparity in the poverty line in Kabila and Bone Pantai sub-districts was caused by price differences between food and non-food commodities which were influenced by several factors 1) Infrastructure, the infrastructure in Kabila sub-district is fairly adequate with fairly high operational costs compared to Bone Pantai sub-district with inadequate market conditions which utilise more roads around the market; 2) Distance, the distance between traders that occurs between regions through the place of production of finished goods in the kabila sub-district is more strategic than the Bone Pantai sub-district, but it is different in terms of natural resource supply where the Bone Pantai sub-district is more strategic in producing supplies of natural resources that are daily needs; 3) Transport Costs, high transport costs, then product prices tend to be higher in locations further from the source of production.


Keywords


Poverty Line, Disparity, Price

Full Text:

PDF

References


Ahlfeldt, G. M., & Feddersen, A. (2018). From periphery to core: Measuring agglomeration effects using high-speed rail. Journal of Economic Geography, 18(2), 355–390. https://doi.org/10.1093/jeg/lbx005

Aini, A. (2018). Analisis Pengaruh Pembangunan Infrastruktur terhadap pembangunan Ekonomi.

Canova, F., & Pappa, E. (2007). Price Differentials in Monetary Unions: The Role of Fiscal Shocks. The Economic Journal, 117(520), 713–737. https://doi.org/10.1111/j.1468-0297.2007.02047.x

Carra, G., Mulalic, I., Fosgerau, M., & Barthelemy, M. (2016). Modelling the relation between income and commuting distance. Journal of The Royal Society Interface, 13(119), 20160306. https://doi.org/10.1098/rsif.2016.0306

Chen, S., & Ravallion, M. (2007). Absolute poverty measures for the developing world, 1981–2004. Proceedings of the National Academy of Sciences, 104(43), 16757–16762. https://doi.org/10.1073/pnas.0702930104

Dewi, K. (2019). Konsep Wilayah Homogen, Nodal, Perencanaan dan Administrasi. 1977, 2–4.

Donaldson, D., & Hornbeck, R. (2016). Railroads and American economic growth: A “market access” approach. The Quarterly Journal of Economics, 131(2), 799–858.

Faber, B. (2014). Trade integration, market size, and industrialization: Evidence from China’s national trunk highway system. Review of Economic Studies, 81(3), 1046–1070. https://doi.org/10.1093/restud/rdu010

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

Gweshengwe, B., & Hassan, N. H. (2020). Defining the characteristics of poverty and their implications for poverty analysis. Cogent Social Sciences, 6(1), 1768669. https://doi.org/10.1080/23311886.2020.1768669

Illahi, N., Adry, M. R., & Triani, M. (2019). Analisis Determinan Pengeluaran Konsumsi Rumah Tangga Di Indonesia. Jurnal Ecogen, 1(3), 549. https://doi.org/10.24036/jmpe.v1i3.5025

Kurniawan, D. (2011). Kemiskinan di Indonesia dan Penanggulangannya. Gema Eksos, 5(1), 1–18.

Lin, Y. (2017). Travel costs and urban specialization patterns: Evidence from China’s high speed railway system. Journal of Urban Economics, 98, 98–123. https://doi.org/10.1016/j.jue.2016.11.002

Mayer, T., & Trevien, C. (2017). The impact of urban public transportation evidence from the Paris region. Journal of Urban Economics, 102, 1–21. https://doi.org/10.1016/j.jue.2017.07.003

Puspita, C. D., & Agustina, N. (2020). Pola Konsumsi, Elastisitas Pendapatan, Serta Variabel-Variabel Sosial Ekonomi Yang Memengaruhi Pengeluaran Konsumsi Rumah Tangga. Seminar Nasional Official Statistics, 2019(1), 700–709. https://doi.org/10.34123/semnasoffstat.v2019i1.46

S. Dai, S. I., Canon, S., & Bauty, D. O. (2023). Analisis Pengaruh RLS, Pengeluaran Perkapita, UHH, Dan Tingkat Kemiskinan Terhadap Ketimpangan Distribusi Pendapatan Di KBI Dan KTI. Jesya (Jurnal Ekonomi Dan Ekonomi Syariah), 6(1), 535–544. https://doi.org/10.36778/jesya.v6i1.950

Sahi, D. F., Arham, M. A., & Santoso, I. R. (2020). The Impact of Government Infrastructure Spending on Economic Growth and Poverty in Gorontalo Province. Jambura Equilibrium Journal, 2(1), 1–6. https://doi.org/10.37479/jej.v2i1.4494

Sugiyarto, S., Mulyo, J. H., & Seleky, R. N. (2016). Kemiskinan Dan Ketimpangan Pendapatan Rumah Tangga Di Kabupaten Bojonegoro. Agro Ekonomi, 26(2), 115. https://doi.org/10.22146/agroekonomi.17264

Widodo. (2018). Pengaruh Biaya Transportasi Dan Biaya Promosi Terhadap Hasil Penjualan Pada PT Batik Keris Surakarta 2018. Jurnal Keguruan Dan Ilmu Pendidikan, 0–7.

Wijekoon, R., Sabri, M. F., & Paim, L. (2021). Poverty: A Literature Review of the Concept, Measurements, Causes and the Way Forward. International Journal of Academic Research in Business and Social Sciences, 11(15), 93–111. https://doi.org/10.6007/IJARBSS/v11-i15/10637




DOI: https://doi.org/10.30596/ekonomikawan.v24i2.18250

 View My Stats