Access to Credit, Natural Disasters, and Relationship Lending

2011 ◽  
Author(s):  
Gunhild Berg ◽  
Jan Schrader
Keyword(s):  
Natural Disasters ◽  
Relationship Lending ◽  
Access To Credit

Access to credit, natural disasters, and relationship lending

2012 ◽  
Vol 21 (4) ◽  
pp. 549-568 ◽  
Author(s):  
Gunhild Berg ◽  
Jan Schrader
Keyword(s):  
Natural Disasters ◽  
Relationship Lending ◽  
Access To Credit

scholarly journals Determinants of households’ livelihood diversification strategies to adapt with natural disasters: Evidence from ecologically vulnerable haor region of Bangladesh

2021 ◽  
Author(s):  
Mohammad Shamsul Hoq ◽  
Md. Taj Uddin ◽  
Shankar Kumar Raha ◽  
Mohammad Ismail Hossain
Keyword(s):  
Natural Disasters ◽  
Livelihood Strategies ◽  
Local Context ◽  
Primary Data ◽  
Livelihood Diversification ◽  
Sustainable Livelihood ◽  
Economic Activities ◽  
Access To Credit ◽  
Poor Households ◽  
Diversification Strategies

Abstract The haor region of Bangladesh is exposed to a variety of natural disasters such as flash floods, seasonal floods, droughts, riverbank erosions, embankment breaches due to climate change, which impacts the haor people's lives and livelihoods. The study aims to assess the various livelihood strategies adopted by the haor households, as well as the factors that influence their decision to pursue more environmentally friendly and sustainable livelihood strategies. The primary data from the 300 haor households in Kishoregonj, Netrokona and Sunamgonj districts were collected with a multi-stage stratified random sample technique taking 100 of each district. We provide inimitable insight into the analysis framework for understanding sustainable rural livelihood, as well as empirical evidence of how livelihood resources, livelihood strategies, and livelihood outcomes are strongly interrelated. The study classified households’ economic activities into five distinct categories together with crop farming to cope with natural disasters. Among the livelihood options, crop plus livestock rearing is the most productive livelihood strategy for haor households. The findings revealed that the higher returning livelihood diversification strategies are significantly influenced by the household’s head age and education, dependency ratio, land holdings, household assets value, access to credit, annual income, membership of any organization, home to road, market, and haor distances, communication during the dry season, duration of waterlogged, and agro-ecology. In order to change the local context and enable poor households to establish more profitable livelihood strategies, policies should aim to promote the significant determinants of livelihood strategies, as well as ensure livelihood assets, a strong infrastructure, and minimize natural disasters.

Natural disasters and child health

2020 ◽  
Vol 26 (1) ◽  
pp. 26-44
Author(s):  
Dhanushka Thamarapani
Keyword(s):  
Public Policy ◽  
Child Health ◽  
Coping Strategies ◽  
Natural Disasters ◽  
Growth Retardation ◽  
Policy Perspective ◽  
Access To Credit ◽  
Persistent Effect ◽  
Standard Deviations ◽  
And Child Health

AbstractWith the increasing number of natural disasters, understanding the links between these events and child health has become timely and pertinent. Using a panel dataset, this paper empirically investigates the persistent effects on child health due to exposure to a series of natural disasters that occurred from 2002 to 2007 in Indonesia. We find that girls exposed to multiple disaster events are 0.19 standard deviations shorter and are 7 per cent more likely to be stunted when measured 7 to 12 years later. We find no persistent effect on boys. From a public policy perspective, we highlight the need for coping strategies beyond access to credit or remittances in order to mitigate growth retardation in children.

When Mother Earth Rises Up

2013 ◽  
Vol 44 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Simona Sacchi ◽  
Paolo Riva ◽  
Marco Brambilla
Keyword(s):  
Free Will ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Mental States ◽  
Disaster Victims ◽  
Willingness To Help ◽  
Mother Earth

Anthropomorphization is the tendency to ascribe humanlike features and mental states, such as free will and consciousness, to nonhuman beings or inanimate agents. Two studies investigated the consequences of the anthropomorphization of nature on people’s willingness to help victims of natural disasters. Study 1 (N = 96) showed that the humanization of nature correlated negatively with willingness to help natural disaster victims. Study 2 (N = 52) tested for causality, showing that the anthropomorphization of nature reduced participants’ intentions to help the victims. Overall, our findings suggest that humanizing nature undermines the tendency to support victims of natural disasters.

Optimizing Allocation for Emergency Resources in Natural Disasters

ICCREM 2020 ◽  
2020 ◽  
Author(s):  
Ruining Ma ◽  
Qingpeng Man
Keyword(s):  
Natural Disasters

PENERAPAN ALGORITMA K-MEANS UNTUK PENGELOMPOKAN DAERAH RAWAN BENCANA DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 1-10
Author(s):  
Amril Mutoi Siregar
Keyword(s):  
Natural Disasters ◽  
Accurate Data ◽  
Disaster Victims ◽  
Central Java ◽  
North Sulawesi ◽  
Natural Beauty ◽  
Or Groups ◽  
Disaster Data ◽  
The Government ◽  
Almost All

Indonesia is a country located in the equator, which has beautiful natural. It has a mountainous constellation, beaches and wider oceans than land, so that Indonesia has extraordinary natural beauty assets compared to other countries. Behind the beauty of natural it turns out that it has many potential natural disasters in almost all provinces in Indonesia, in the form of landslides, earthquakes, tsunamis, Mount Meletus and others. The problem is that the government must have accurate data to deal with disasters throughout the province, where disaster data can be in categories or groups of regions into very vulnerable, medium, and low disaster areas. It is often found when a disaster occurs, many found that the distribution of long-term assistance because the stock for disaster-prone areas is not well available. In the study, it will be proposed to group disaster-prone areas throughout the province in Indonesia using the k-means algorithm. The expected results can group all regions that are very prone to disasters. Thus, the results can be Province West java, central java very vulnerable categories, provinces Aceh, North Sumatera, West Sumatera, east Java and North Sulawesi in the medium category, provinces Bengkulu, Lampung, Riau Island, Babel, DIY, Bali, West Kalimantan, North Kalimantan, Central Sulawesi, West Sulawesi, Maluku, North Maluku, Papua, west Papua including of rare categories. With the results obtained in this study, the government can map disaster-prone areas as well as prepare emergency response assistance quickly. In order to reduce the death toll and it is important to improve the services of disaster victims. With accurate data can provide prompt and appropriate assistance for victims of natural disasters.

Social innovation and natural disasters: the "Casa Italia" Plan

2017 ◽  
pp. 87-102 ◽  
Author(s):  
Francesco Pagliacci ◽  
Margherita Russo ◽  
Laura Sartori
Keyword(s):  
Natural Disasters ◽  
Social Innovation

Resilience in the Face of the Nature’s Furor: Natural Disasters and Vietnamese Households

2014 ◽  
Vol 219 ◽  
pp. 02-19 ◽  
Author(s):  
ERIC IKSOON IM ◽  
TAM BANG VU
Keyword(s):  
Natural Disasters ◽  
The Face

Food insecurity transitions among rural households in Nigeria

2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Oluwakemi Adeola Obayelu ◽  
Emem Ime Akpan
Keyword(s):  
Food Security ◽  
Secondary Education ◽  
Food Insecurity ◽  
Primary Education ◽  
Rural Households ◽  
Farm Size ◽  
Dependency Ratio ◽  
Male Adult ◽  
Access To Credit ◽  
Food Expenditure

Food insecurity dynamics of rural households in Nigeria was assessed using a panel data. Results showed that 44.4% of households that were food secure in the first panel transited into food insecurity in the second panel, while 32.5% that were mildly food insecure transited into food security. Furthermore, 25.7% transited from moderate food insecurity to food security, while 38.2% transited from severe food insecurity to food security. About 35.1% of households were never food insecure; 11.4% exited food insecurity 28.0% entered food insecurity; while 25.48% remained always food insecure. Having primary education, secondary education, dependency ratio, household size, share of non-food expenditure and farm size explained food insecurity transition. However, the likelihood of a household being always food insecure was explained by gender, female-to-male-adult ratio, marital status, primary education, secondary education, dependency ratio, share of non-food expenditure, farm size, access to credit and access to remittance.

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