Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

Q1 Social Sciences
Md. Ayatullah Khan, K. Kabir, K. Hasan, R. Sultana, Sardar Al Imran, Sanju Karmokar
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Abstract

The purpose of this study was to assess household’s agricultural vulnerability to climate induced disasters and to identify the indicators of adaptive capacity that determine the vulnerability of south-western coastal household’s in Bangladesh. The vulnerability was calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then the ordered logit model was employed in order to identify key determinants of agricultural vulnerability to climate induced disasters. A survey of 346 household’s head from the two settlements (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District was used in this study. Findings revealed that the mean score of Sutarkhali was 0.703 (high) in exposure, 0.724 (high) in sensitivity, 0.341 (low) in adaptive capacity and finally, the agricultural vulnerability index (AVI) was 0.695 (high). On the same fashion, Nalian was an average score of 0.697 (high) in exposure, 0.721 (high) in sensitivity, 0.386 (low) in adaptive capacity, and finally 0.677 (high) in agricultural vulnerability index (AVI). Annual savings, formal education, ownership of livestock, improved seeds supply, access to irrigation pump, improved crop diversification/ High Yielding Variety (HYV) crops, access to large farm size and access to farm credit were found to be statistically significant indicators of adaptive capacity that determine agricultural vulnerability of the both study sites. Finally it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.
家庭农业对气候灾害的脆弱性:以孟加拉国西南海岸为例
本研究的目的是评估家庭对气候引发的灾害的农业脆弱性,并确定决定孟加拉国西南沿海家庭脆弱性的适应能力指标。脆弱性是根据政府间气候变化专门委员会(IPCC)的概念通过农业脆弱性指数(AVI)计算得出的。然后采用有序logit模型来确定农业易受气候灾害影响的关键决定因素。本研究对库尔纳区Dacope Upazila的Sutarkhali联盟的两个定居点的346名户主(181名户主来自Sutarkhaly,165名户主来自Nalian)进行了调查。研究结果显示,Sutarkhali的暴露平均得分为0.703(高),敏感性平均得分为0.724(高);适应能力平均得分为0.341(低);最后,农业脆弱性指数(AVI)为0.695(高)。同样,Nalian的暴露平均得分为0.697(高),敏感性平均得分为0.721(高)、适应能力平均得分为0.386(低),农业脆弱性指数平均得分为0.627(高)。年度储蓄、正规教育、牲畜所有权、改善种子供应、使用灌溉泵、改善作物多样化/高产品种(HYV)作物、获得大型农场和获得农场信贷是决定两个研究地点农业脆弱性的适应能力的重要统计指标。最后,建议由有关当局启动沿海农业适应所需的干预措施。
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来源期刊
Journal of Environmental Assessment Policy and Management
Journal of Environmental Assessment Policy and Management Social Sciences-Geography, Planning and Development
CiteScore
7.00
自引率
0.00%
发文量
18
期刊介绍: The Journal of Environmental Assessment Policy and Management is an interdisciplinary, peer reviewed, international journal covering policy and decision-making relating to environmental assessment (EA) in the broadest sense. Uniquely, its specific aim is to explore the horizontal interactions between assessment and aspects of environmental management (not just the vertical interactions within the broad field of impact assessment) and thereby to identify comprehensive approaches to environmental improvement involving both qualitative and quantitative information. As the concepts associated with sustainable development mature, links between environmental assessment and management systems become all the more essential.
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