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Small area estimation of household expenditure on insurance programs for minimizing the impact of natural disasters in West Java, Indonesia
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- المؤلفون: Wulansari, IY; Permatasari, N
- نوع التسجيلة:
Electronic Resource
- الدخول الالكتروني :
http://hdl.handle.net/10453/179689
Statistical Journal of the IAOS
10.3233/sji-230040
- معلومة اضافية
- Publisher Information:
IOS Press 2023-09-12
- نبذة مختصرة :
West Java is one of Indonesia s Provinces with a high disaster risk index The Province has experienced earthquakes volcanic eruptions tidal waves droughts landslides floods and tsunamis In the event of a disaster the government s budget allocation is used for handling losses due to disasters Seeing these conditions it is necessary to carry out disaster risk management efforts to reduce losses by using natural disaster insurance by households Publication of household insurance expenditures is essential to see the community s ability to pay insurance for handling losses due to disasters This study aims to estimate the average household expenditure on insurance and the average total household expenditure by district city in the West Java Province The analytical method used is the Small Area Estimation using the Fay Herriot model with logarithmic transformation The data source is the National Socio Economic Survey SUSENAS for March 2019 The results show the proportion of insurance expenditure to total household expenditure ability to pay was relatively low ranging from 0 93 2 This result is still far from the ability to pay insurance in developing countries which is 5 This finding can be used to see the power of households to pay for insurance ability to pay The government can take policies related to this to minimize losses due to natural disasters in the West Java Province
- الموضوع:
- Availability:
Open access content. Open access content
info:eu-repo/semantics/closedAccess
- Other Numbers:
LT1 oai:opus.lib.uts.edu.au:10453/179689
Statistical Journal of the IAOS, 2023, 39, (3), pp. 729-743
1874-7655
1875-9254
1456021601
- Contributing Source:
UNIV OF TECH, SYDNEY
From OAIster®, provided by the OCLC Cooperative.
- الرقم المعرف:
edsoai.on1456021601
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