Simultaneous adoption of risk management strategies to manage the catastrophic risk of maize farmers in Bangladesh

Adnan, K M Mehedi; Liu, Ying; Sarker, Swati Anindita; Yu, Man; Eliw, Moataz; Sultanuzzaman, Reza; Huq, Md. Enamul

doi:10.1007/s10708-020-10154-y

Cited by 32 publications

(25 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They employ a variety of better adaptation strategies than younger farmers during drought seasons [27]. In addition, because older farmers are more aware of dangerous climatic situations and know how to deal better with bad climatic conditions, their choices of adaptation are more production-focussed [53,60].…”

Section: Demographic Factorsmentioning

confidence: 99%

“…Naz, Doneys and Saqib [49] claim that the more experienced farmers are, the more they manage their land effectively and are likely to adapt. Farming experience significantly influences farmers' probabilities of adapting to cope with climate change as more experienced farmers are more aware of past climate events [42,44,45,51,60]. Further, farmers who are more experienced regarding previous climate damage are better prepared [23,38,40,44,63].…”

Section: Demographic Factorsmentioning

confidence: 99%

“…However, five other papers claim that farmers with less land are more likely to adapt [31,34,52,55,60]. The reason is that small farm holders have less capacity to bear risk, so they adopt diversification strategies to minimise loss, while large farm-sized families already have the capacity to diversify their crops [31,60].…”

Section: Social-economic Factorsmentioning

confidence: 99%

See 2 more Smart Citations

Climate Change Adaptation Influences and Barriers Impacting the Asian Agricultural Industry

2021

View full text Add to dashboard Cite

There has been an increasing interest among scholars regarding the impacts of climate change on agriculture and possible adaptation strategies for farmers. Little attention has been paid, however, to reviewing adaptation initiatives amongst farmers in Asia. This article fills this knowledge gap by examining the current literature on Asian farmers’ perception of climate change, their adaptation strategies, key factors influencing their choices, and the barriers to change. A systematic quantitative literature review is undertaken of 48 papers taken from a range of sources. The review indicates that farmers’ perceptions of climate change have been consistent with the scientific data. It further identifies farmers’ adaptation strategies with regards to soil conservation, water management and land use changes. The review shows numerous factors influencing, and barriers impacting, farmers’ ability to adapt. Influencing factors were analysed and categorised into five groups: cognitive, demographic, social-economic, resources, and institutional. Barriers hampering their adaptive capacity were identified as: a lack of access to information, a lack of access to extension services, limited awareness and knowledge, and limited financial options. The review finishes with some recommendations for future research.

show abstract

Section: Demographic Factorsmentioning

confidence: 99%

Section: Demographic Factorsmentioning

confidence: 99%

See 1 more Smart Citation

Climate Change Adaptation Influences and Barriers Impacting the Asian Agricultural Industry

2021

View full text Add to dashboard Cite

show abstract

“…To evaluate flash flood vulnerability and the intensity and frequency of flood hazards (Hung et al 2016), vulnerability maps of floods, exposure, and disaster risk reduction (Adnan et al 2020;Tapsell et al 2010) have been produced in previous studies. Not only flash flood events are responsible for flood disasters; socioeconomic, structural, institutional setup, and environmental conditions also influence flood disasters.…”

Section: Spatial Map Of Vulnerabilitymentioning

confidence: 99%

Measuring Vulnerability to Flash Flood of Urban Dwellers

Huq

Shao

Dughairi

et al. 2021

Natural Disaster Science and Mitigation Engineering: DPRI Reports

Self Cite

View full text Add to dashboard Cite

Flash floods are unexpected, localized flood events that occur when an exceptional amount of rain falls happens over a short period of time. In South Asia, it is mostly disastrous, for example, in 2017 flash floods killed approximately 1200 people from India, Nepal, and Bangladesh. However, it is also common in Dhaka megacity, Bangladesh due to its geographic location, monsoon climatic condition and surrounding rivers. Though it is impossible to avoid them, the losses and damages of hazards can be reduced effectively by using appropriate techniques. This study aims to determine the responsible factors and measure the household vulnerability to flash flood as a tool of mitigation. The study has been conducted based on primary data. Therefore, data were collected from both slum and non-slum population to cover the entire urban habitats. Data were collected with a structured questionnaire based on five factors (social, economic, institutional, structural, and environmental) of vulnerability to flash flood. The key feature of this paper is to provide an insight into real picture of vulnerability to flash flood for urban habitants. Moreover, this practical approach is useful to quantify hazard-induced vulnerabilities not only for Dhaka megacity but also for other cities of the globe.

show abstract

“…From the beginning of the HFA, in addition to the ongoing Sendai Framework for Disaster Risk Reduction (SFDRR) 2015-2030, index-based measure-ments are employed in several circumstances and on various scales (UNISDR, 2005). However, there are several appropriate index-based eminent vulnerability approaches that explicitly reflect vulnerability entities, such as the world-risk index, index for risk management, disaster-risk index, and social vulnerability index (SoVI), flood-vulnerability index, and the environmental-vulnerability index (Adnan et al, 2020;Rygel et al, 2006). However, there is an absence of evaluating household vulnerability and comparing slum and non-slum vulnerability levels.…”

Section: Profiling and Defining Vulnerabilitymentioning

confidence: 99%

Assessing vulnerability for inhabitants of Dhaka City considering flood-hazard exposure

et al. 2020

Self Cite

View full text Add to dashboard Cite

Global flood hazard is gradually increasing. Though it is impossible to avoid them, losses and damage of hazards (e.g., floods, cyclones, and earthquakes) could be efficiently reduced by reducing household vulnerability with appropriate measures. This study aims to quantitatively measure the household vulnerability of flood hazards as a mitigation tool. It also proposed a unique approach to quantify flood-hazard household vulnerability, and shows its application in the flood prone city of Dhaka as an example case. Data were collected from both slum and non-slum areas to cover the entire urban habitat, and to compare their level of flood vulnerability. A total of 300 households were surveyed by structured questionnaire on the basis of five factors (economic, social, environmental, structural, and institutional) of flood vulnerability. The analytical hierarchy process (AHP) was applied to measure individual household vulnerability scores by using the relative weightage of variables and indicators with proper standardisation. Analytical results demonstrated that 63.06% slum and 20.02% non-slum households were highly vulnerable to floods. In addition, this paper determined and assessed responsible factors for household flood vulnerability in Dhaka. For structural vulnerability, results exhibited that 82% of slum households were highly vulnerable, and 95.3% of non-slum households were moderately vulnerable. Socially, 67.3% of slum and 78.7% of non-slum households were moderately and low-vulnerable. The majority of slum and non-slum households (84% and 59.3%, respectively) showed high and moderate vulnerability with respect to economic vulnerability. Moreover, 69.3% of slum and 65.3% of nonslum household institutional vulnerability levels were high. Of slum inhabitants, 63.3% were environmentally at high risk, and 78% of non-slum habitats were in the low-vulnerability category. However, as an effective tool to measure location-specific vulnerability, it is applicable for the measuring vulnerability of other cities in the world with proper customisation. On the basis of this study, future research could be conducted with more factors, variables, and indicators of human vulnerability to natural or artificial hazards/disasters. Future work may provide a better reflection of the vulnerability status of single/multiple hazard(s)/disaster(s).

show abstract

Simultaneous adoption of risk management strategies to manage the catastrophic risk of maize farmers in Bangladesh

Cited by 32 publications

References 52 publications

Climate Change Adaptation Influences and Barriers Impacting the Asian Agricultural Industry

Climate Change Adaptation Influences and Barriers Impacting the Asian Agricultural Industry

Measuring Vulnerability to Flash Flood of Urban Dwellers

Assessing vulnerability for inhabitants of Dhaka City considering flood-hazard exposure

Contact Info

Product

Resources

About