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

Md. Ayatullah Khan, Kazi Humayun Kabir, Kamrul Hasan, Rashmia Sultana, Sardar Al Imran and Sanju Karmokar
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Md. Ayatullah Khan: Development Studies Discipline, Khulna University, Khulna 9208, Bangladesh
Kazi Humayun Kabir: Development Studies Discipline, Khulna University, Khulna 9208, Bangladesh†Department of Urban Planning and Design, The University of Hong Kong, Hong Kong
Kamrul Hasan: Development Studies Discipline, Khulna University, Khulna 9208, Bangladesh
Rashmia Sultana: Development Studies Discipline, Khulna University, Khulna 9208, Bangladesh
Sardar Al Imran: Development Studies Discipline, Khulna University, Khulna 9208, Bangladesh
Sanju Karmokar: Development Studies Discipline, Khulna University, Khulna 9208, Bangladesh

Journal of Environmental Assessment Policy and Management (JEAPM), 2022, vol. 24, issue 03, 1-31

Abstract: Climate change-related catastrophic events have a considerable influence on south-western coastal agriculture in Bangladesh. The objectives of this study are to measure the agricultural vulnerability of south-western coastal households in Bangladesh due to climate-induced disasters and to find the sub-indicators of adaptive capacity (AC) that influence the agricultural vulnerability. An agricultural vulnerability index (AVI) was developed by using the intergovernmental panel on climate change (IPCC) dimensions to measure the vulnerability. The sub-indicators of AC that affect agricultural vulnerability to climate-induced disasters were identified using an ordered logit model. This study employed a survey of 346 households from two villages (181 households from Sutarkhali and 165 households from Nalian) of the Sutarkhali Union of Dacope Upazila within a south-west coastal district (Khulna) of the country. The main respondents were the household heads. The findings demonstrated that Sutarkhali had a mean score of 0.703 (high) for exposure, 0.762 (high) for sensitivity, 0.397 (low) for AC, and 0.689 for AVI (high). Similarly, Nalian scored 0.658 (high) for exposure, 0.681 (high) for sensitivity, 0.410 (low) for AC, and 0.643 (high) for AVI. Non-farm employment, livestock ownership, irrigation pump access, improved crop diversification/saline tolerant high-yielding variety (HYV) crops access, and farm credit access were found to be statistically significant sub-indicators of AC that affect the agricultural vulnerability of both study sites. Finally, it is recommended that the relevant authorities and policy makers should implement the necessary agricultural adaptation initiatives in south-west coastal Bangladesh.

Keywords: Climate-induced disasters; agricultural vulnerability; agricultural adaptation; south-western coastal Bangladesh (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S1464333222500302

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