Journal of Socioeconomics and Development. 2021. 4(2): 198-211 Journal of Socioeconomics and Development https://publishing-widyagama.ac.id/ejournal-v2/index.php/jsed Spatial modelling of multidimensional poverty in rural area: Evidence from Malang Regency, Indonesia Ismu Rini Dwi Ari*, Septiana Hariyani and Budi Sugiarto Waloejo Brawijaya University, Malang, Indonesia *Correspondence email: dwiari@ub.ac.id INTRODUCTION In the era of SDGs fulfillment, poverty is still a worldwide problem, particularly for developing countries, that have to be tackled by 2030. Poverty might be a direct result from having very low income or very limited resources which then brings further effects, for instance, undernourishment and hunger, exposure to infectious diseases and mental sickness and drug addiction. Poverty might emerge in a community when it has no basic abilities, no income, no adequate education, bad health condition, no safety, low confidence, or lack of rights such as freedom of speech (UNDP, 2016). Poverty is also a development problem of Indonesia indicated by lack of access to education and health services, insufficient access to hygienic water and sanitation, and difficulties of fulfilling basic needs of food, apparel, and housing (Adhi, 2009). To reach the first goal of the SDGs, the Indonesian government has several programs to reduce poverty such as Beras Miskin (rice for the needy), Beras Sejahtera (rice for welfare), Bantuan Pangan Non- Tunai (non-cash food aid), and Bedah Kemiskinan Rakyat Sejahtera (poverty termination for welfare). Poverty also has an impact on economic activity, especially on government programs. Poverty reduces To cite this article: Ari, I. R. D., Hariyani, S., & Waloejo, B. S. (2021). Spatial modelling of multidimensional poverty in rural area: Evidence form Malang Regency, Indonesia. Journal of Socioeconomics and Development, 4(2), 198-211. https://doi.org/10.31328/jsed.v4i2.2245 ISSN 2615-6075 online; ISSN 2615-6946 print ©UWG Press, 2021 ABSTRACT Poverty is a multidimensional phenomenon that causes difficulty for people to meet their needs. The research aims to scrutinize physical and social infrastructures concerning multidimensional poverty levels using the spatial approach. Jabung District, Malang Regency, Indonesia has 35% poor households in this case study. The objectives are to measure multidimensional poverty levels, social capital indices of the rate of participation (RoP) and density, and scrutinize neighborhood relationships among 15 villages using spatial regression analysis. Data collection is through a questionnaire survey of 274 heads of households. The research identified four poverty levels (very low to high), where five villages with high poverty levels (Jabung, Taji, Kemiri, Gunungjati, Slamparejo) became the targeted areas. The majority of the villages had a medium level of both the RoP and density, and the community had moderate social relations among community members. The spatial regression analysis indicates that the attribute of the RoP and weight matrix have a significant impact on the poverty level. It is recommended that poverty alleviation programs should focus upon the cluster of poor villages through social infrastructure development as the action to end poverty. ARTICLE INFO ►Research Article Article History Received 20 February 2021 Accepted 5 August 2021 Published 2 October 2021 Keywords poverty dimension; participation; density; infrastructure; spatial neighborhood JEL Classification A13; I32; R58