Offering a case study of coastal Bangladesh, this study examines the adaptation of agriculturalists to degrading environmental conditions likely to be caused or exacerbated under global climate change. It examines four central components: (1) the rate of self-reported adoption of adaptive mechanisms (coping strategies) as a result of changes in climate; (2) ranking the potential coping strategies based on their perceived importance to agricultural enterprises; (3) identification the socio-economic factors associated with adoption of coping strategies, and (4) ranking potential constraints to adoption of coping strategies based on farmers' reporting on the degree to which they face these constraints. As a preliminary matter, this paper also reports on the perceptions of farmers in the study about their experiences with climatic change. The research area is comprised of three villages in the coastal region (Sathkhira district), a geographic region which climate change literature has highlighted as prone to accelerated degradation. One-hundred (100) farmers participated in the project's survey, from which the data was used to calculate weighted indexes for rankings and to perform logistic regression. The rankings, model results, and descriptive OPEN ACCESSClimate 2014, 2 224 statistics, are reported here. Results showed that a majority of the farmers self-identified as having engaged in adaptive behavior. Out of 14 adaptation strategies, irrigation ranked first among farm adaptive measures, while crop insurance has ranked as least utilized. The logit model explained that out of eight factors surveyed, age, education, family size, farm size, family income, and involvement in cooperatives were significantly related to self-reported adaptation. Despite different support and technological interventions being available, lack of available water, shortage of cultivable land, and unpredictable weather ranked highest as the respondent group's constraints to coping with environmental degradation and change effects. These results provide policy makers and development service providers with important insight, which can be used to better target interventions which build promote or facilitate the adoption of coping mechanisms with potential to build resiliency to changing climate and resulting environmental impacts.
Socio-economic conditions of farmers, especially in the coastal region in Bangladesh, have been severely affected because of climate change. This study was focused on analyzing the farmers' perception of climate change by examining three vital issues: (1) description of the socioeconomic characteristics of farmers; (2) reporting on the perception of farmers experiences with climatic change; and (3) identification of the socio-economic factors associated with farmers' perception of climate change. The study area encompasses three villages within the coastal region (Sathkhira district) of Bangladesh, a geographic region where climate change literature has highlighted as prone to accelerated degradation. A logit model, along with weighted indexes for ranking and descriptive statistics, was used to analyze the result of 100 farmers surveyed by questionnaire. We found that the majority of the farmers (88%) perceived changes in climatic conditions. Almost all farmers indicated increases in temperature, droughts, floods, cyclones, salinity level and decreasing rainfall over the last 20 years. The logit model explained that out of the nine factors surveyed; education, family size, farm size, family income, farming experiences and training received were significantly related and influential factors to perception of climate change. Therefore, government and non-governmental organizations are recommended to push forward with interventions, especially focusing on identified factors, in order to strengthen the farmers' capacity to battle against climate change effects.
Drought is an extreme and frequent event in the northwest region of Bangladesh and it adversely affects the livelihood of the farming community. Identifying the coping strategies that farmers use in the face of drought is crucial in order to understand how farmers minimize the effects of drought on their production, especially in the face of climatic changes that may impact the occurrence of extreme weather events. The purpose of this study was to assess farmers' coping strategies for droughts by identifying which strategies are used and the influencing factors. A mixed methods approach using qualitative and quantitative data was employed. Preliminary data were collected using structured interviews and focus group discussions in which the findings were triangulated in order to design a questionnaire. The study respondents were 100 farmers operating in northwest Bangladesh. The findings were analyzed using descriptive statistics, coefficient of correlation, multiple linear and step-wise regressions. The results reveal that the respondents have limited drought coping strategies, even though the region is prone to frequent droughts. Among the fourteen identified drought coping strategies, the use of deep tube wells for irrigation water was the most widely reported and the farmers perceived it as the most important coping strategy. Shallow tube wells closely followed as the second most commonly used coping strategy reported by the respondents. Among the identified coping strategies, the least practiced was the use of treadle pumps. The findings from the study showed that age, education, farm size, annual family income, extension media contact, and organization participation were significantly associated with the choice of coping strategy that the farmers employed. Additionally, farm size, age, and education were identified as influential factors that affected the farmers' choice of which drought coping strategies to use. The study identified important issues for policy makers engaged with governmental programs that aim to enhance the farmers' drought coping mechanisms. The methods employed and the results of this study could be usefully applied in other districts of Bangladesh, or other areas of the world suffering from the negative effects of drought on agricultural production.
Information is one of the vital factors of production while ICT to provide efficient and effective information. Thus, the study was undertaken mainly to determine farmers' extent of access to ICT based media in receiving agricultural information. Besides, important factors associated with farmers' extent of access to ICT based media were also explored. The study was conducted at Fulbaria upazila (sub-district) under Mymensingh district in Bangladesh. Eighty (80) farmers were interviewed using structured questionnaire to collect the data. Both descriptive and inferential statistical analysis were used to interpret the trend and tendencies of collected data. The findings of the study revealed that the majority (81.2 percent) of the respondents had low access to ICT while only 3.8 percent had medium access and 15.0 percent of them having no access to ICT based media. The step-wise multiple regression results explored that availability of ICTs, knowledge on ICT and training received on ICTs were identified as influential factors in case of increasing the extent of farmers' access to ICT based media. Lack of operational knowledge of computer, poor level of education, lack of training facilities on ICT, insufficient numbers of ICT centre, poor knowledge on the availability of ICT based facilities, lack of personal interest were identified as the major constraints faced by the farmers to access to ICTs based media.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.