Open AccessDo Social-Economy Vulnerability Index and Poverty Index Have Correlation? Study in Bengawan Solo Watershed
Author(s) -
Suryanto Suryanto,
Ratih Kumalasari,
Danur Condro Guritno,
Nugroho Saputro,
Sabar Marniyati
Publication year - 2021
Publication title -
international journal of business and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.236
H-Index - 15
ISSN - 1511-6670
DOI - 10.33736/ijbs.3777.2021
Subject(s) - vulnerability (computing) , social vulnerability , poverty , geography , socioeconomic status , population , socioeconomics , index (typography) , economic growth , sociology , demography , psychology , economics , computer security , computer science , psychological resilience , psychotherapist , world wide web
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.