Do Social-Economy Vulnerability Index and Poverty Index Have Correlation? Study in Bengawan Solo Watershed

Authors

  • Suryanto Universitas Sebelas Maret
  • Ratih Kumalasari Universitas Sebelas Maret
  • Danur C. Guritno Universitas Sebelas Maret
  • Nugroho Saputro Center for Fintech and Banking, Universitas Sebelas Maret
  • Sabar Marniyati Universitas Surakarta

DOI:

https://doi.org/10.33736/ijbs.3777.2021

Keywords:

Social Economy, Community, Vulnerability, Risk

Abstract

The components to measure of disaster risk (i.e flood) are level of hazard, vulnerability of individual/community, and capacity of individual/community. Research related to vulnerability is based on the level of probability of a region experiencing a disaster, while vulnerability is based on conditions where individual/community cannot cope with disasters. The aim of the study was to measure the level of vulnerability of the socio-economic and institutional society. This research tried to explain the level of social vulnerability among the communities in upper Bengawan Solo watershed. SoVI makes more appropriate parameters for measuring social vulnerability than relying only on partial socioeconomic data. The data generated from relevan institution, such as Central Bureau of Statistic (Badan Pusat Statistik–BPS), Social Service Institution (Dinas Sosial), National Population and Family Planning Board. Data needed such as socio-economic community, demography, age, family structure, village-city, education, and unemployment rate. We find the data from the related agencies. The first step analysis is to adapt the measurement of vulnerability (SoVI) that has been developed. After the measurement of the SoVI is carried out then it is classified relatively between districts (Sragen, Sukoharjo, Wonogiri, and Karanganyar) in the upstream Bengawan Solo Watershed. The results show highest SoVI total score (the most vulnerability) is Sragen Regency, followed by Wonogiri and Sukoharjo, and the lowest is Karanganyar. Meanwhile, Sragen has the highest scores in social-economy components score such as age, gender, rural/urban, occupation, and family structure. It implies that when disasters attack to Sragen, their community will be more suffering potentially.

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Published

2021-08-12

How to Cite

Suryanto, Ratih Kumalasari, Danur C. Guritno, Nugroho Saputro, & Sabar Marniyati. (2021). Do Social-Economy Vulnerability Index and Poverty Index Have Correlation? Study in Bengawan Solo Watershed. International Journal of Business and Society, 22(2), 985–1003. https://doi.org/10.33736/ijbs.3777.2021