{"title":"地区灾害风险决定保险支出吗?来自印度有组织制造工厂的证据","authors":"Sohini Bhowmik, Gopal Krishna Roy","doi":"10.1016/j.ijdrr.2024.104964","DOIUrl":null,"url":null,"abstract":"<div><div>Insurance is a crucial risk management tool for firms. This paper examines the factors determining insurance expenditure among organised manufacturing factories in India, focusing on the role of regional disaster risks. We gather information on insurance expenditure and other factory-level factors by utilizing unit-level data from the Annual Survey of Industries for 2018–19. We integrate this data with the spatial disaster risks index across Indian states, obtained from the <em>Disaster Risks and Resilience in India</em> report by the Ministry of Home Affairs, Government of India, and the United Nations Development Programme (UNDP). The state-level disaster risk index captures the regional risk environment that influences insurance expenditure at the factory level, even after accounting for factory-specific factors. We test various hypotheses on the determinants of factory-level insurance expenditure using the ordinary least squares method in a multiple linear regression framework. Given that the decision to spend on insurance reflects a corner solution problem, with a substantial share of factories reporting zero expenditure while others incur strictly positive amounts, we employ Tobit and Cragg's hurdle models to ensure robustness. Our results indicate a positive and statistically significant association between the location-based spatial disaster risks index and factory-level insurance expenditure. Factories located in a state with higher disaster risks spend significantly more on insurance expenditure. Among other factory-level factors, our findings indicate that factors such as gross value added, subsidies, the value of imported inputs, export share, type of organisation, age, the value of plant and machinery, and depreciation significantly affect insurance expenditure.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"114 ","pages":"Article 104964"},"PeriodicalIF":4.2000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Do regional disaster risks determine insurance spending? Evidence from organised manufacturing factories in India\",\"authors\":\"Sohini Bhowmik, Gopal Krishna Roy\",\"doi\":\"10.1016/j.ijdrr.2024.104964\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Insurance is a crucial risk management tool for firms. This paper examines the factors determining insurance expenditure among organised manufacturing factories in India, focusing on the role of regional disaster risks. We gather information on insurance expenditure and other factory-level factors by utilizing unit-level data from the Annual Survey of Industries for 2018–19. We integrate this data with the spatial disaster risks index across Indian states, obtained from the <em>Disaster Risks and Resilience in India</em> report by the Ministry of Home Affairs, Government of India, and the United Nations Development Programme (UNDP). The state-level disaster risk index captures the regional risk environment that influences insurance expenditure at the factory level, even after accounting for factory-specific factors. We test various hypotheses on the determinants of factory-level insurance expenditure using the ordinary least squares method in a multiple linear regression framework. Given that the decision to spend on insurance reflects a corner solution problem, with a substantial share of factories reporting zero expenditure while others incur strictly positive amounts, we employ Tobit and Cragg's hurdle models to ensure robustness. Our results indicate a positive and statistically significant association between the location-based spatial disaster risks index and factory-level insurance expenditure. Factories located in a state with higher disaster risks spend significantly more on insurance expenditure. Among other factory-level factors, our findings indicate that factors such as gross value added, subsidies, the value of imported inputs, export share, type of organisation, age, the value of plant and machinery, and depreciation significantly affect insurance expenditure.</div></div>\",\"PeriodicalId\":13915,\"journal\":{\"name\":\"International journal of disaster risk reduction\",\"volume\":\"114 \",\"pages\":\"Article 104964\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of disaster risk reduction\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S221242092400726X\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221242092400726X","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Do regional disaster risks determine insurance spending? Evidence from organised manufacturing factories in India
Insurance is a crucial risk management tool for firms. This paper examines the factors determining insurance expenditure among organised manufacturing factories in India, focusing on the role of regional disaster risks. We gather information on insurance expenditure and other factory-level factors by utilizing unit-level data from the Annual Survey of Industries for 2018–19. We integrate this data with the spatial disaster risks index across Indian states, obtained from the Disaster Risks and Resilience in India report by the Ministry of Home Affairs, Government of India, and the United Nations Development Programme (UNDP). The state-level disaster risk index captures the regional risk environment that influences insurance expenditure at the factory level, even after accounting for factory-specific factors. We test various hypotheses on the determinants of factory-level insurance expenditure using the ordinary least squares method in a multiple linear regression framework. Given that the decision to spend on insurance reflects a corner solution problem, with a substantial share of factories reporting zero expenditure while others incur strictly positive amounts, we employ Tobit and Cragg's hurdle models to ensure robustness. Our results indicate a positive and statistically significant association between the location-based spatial disaster risks index and factory-level insurance expenditure. Factories located in a state with higher disaster risks spend significantly more on insurance expenditure. Among other factory-level factors, our findings indicate that factors such as gross value added, subsidies, the value of imported inputs, export share, type of organisation, age, the value of plant and machinery, and depreciation significantly affect insurance expenditure.
期刊介绍:
The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international.
Key topics:-
-multifaceted disaster and cascading disasters
-the development of disaster risk reduction strategies and techniques
-discussion and development of effective warning and educational systems for risk management at all levels
-disasters associated with climate change
-vulnerability analysis and vulnerability trends
-emerging risks
-resilience against disasters.
The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.