Livestock Farming Adoption in Rural Bangladesh: Determinants and Impacts on Household Income and Women's Dietary Diversity

IF 4.5 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Toma Deb Nath, Arindam Biswas, Sheikh Faruk Ahmed
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Abstract

The crucial role of women in livestock farming is widely recognized, bringing multiple benefits such as increased household income, fostering stability, and improved nutrition security for women. Thus, the current study investigated the determinants and impacts of livestock farming adoption on household income and women's dietary diversity. To achieve the objectives, a survey was conducted among 367 women farmers residing in four villages located in the Mymensingh district of Bangladesh. Both the double hurdle model and the Tobit econometric model were employed to determine the determinants of livestock farming adoption. To evaluate the impact of adopting livestock farming, the study utilized three treatment effect estimators: regression adjustment, inverse probability weighting, and inverse probability weighting regression adjustment. The findings revealed that factors including education, family labor, training experience, credit access, extension contacts, distance from the extension office, and mobile ownership had a significant influence on the adoption of livestock farming. The treatment effect model showed that women who had adopted livestock farming had higher household income, ranging from 88.38% to 94.55%, as well as a higher level of dietary diversity, ranging from 56.03% to 66.38%, compared to non-adopters. Therefore, in order to promote the growth of livestock farming in the study area, governmental and non-governmental organizations should reinforce their efforts by emphasizing the determinants influencing the adoption process. Moreover, to inspire women and drive higher adoption rates in livestock farming, the provision of readily available and accessible motivational training and extension services should be enhanced.

Abstract Image

孟加拉国农村畜牧业的采用:家庭收入和妇女饮食多样性的决定因素和影响
妇女在畜牧业中的关键作用得到了广泛认可,为妇女带来了多种好处,如增加家庭收入、促进稳定和改善营养安全。因此,本研究调查了畜牧饲养对家庭收入和妇女饮食多样性的决定因素和影响。为了实现这些目标,对居住在孟加拉国迈门辛格地区四个村庄的367名女农民进行了调查。采用双障碍模型和Tobit计量模型来确定畜牧业收养的决定因素。采用回归调整、逆概率加权、逆概率加权回归调整三种处理效果估计方法来评估采用畜牧业的影响。调查结果显示,教育程度、家庭劳动、培训经历、信贷获取、推广联系、与推广办事处的距离和移动设备所有权等因素对采用畜牧业有显著影响。治疗效果模型显示,与非养畜妇女相比,养畜妇女的家庭收入更高,范围在88.38% ~ 94.55%之间,饮食多样性水平更高,范围在56.03% ~ 66.38%之间。因此,为了促进研究地区畜牧业的发展,政府和非政府组织应加强努力,强调影响收养过程的决定因素。此外,为了激励妇女和提高畜牧业的采用率,应加强提供现成和容易获得的激励培训和推广服务。
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来源期刊
Food and Energy Security
Food and Energy Security Energy-Renewable Energy, Sustainability and the Environment
CiteScore
9.30
自引率
4.00%
发文量
76
审稿时长
19 weeks
期刊介绍: Food and Energy Security seeks to publish high quality and high impact original research on agricultural crop and forest productivity to improve food and energy security. It actively seeks submissions from emerging countries with expanding agricultural research communities. Papers from China, other parts of Asia, India and South America are particularly welcome. The Editorial Board, headed by Editor-in-Chief Professor Martin Parry, is determined to make FES the leading publication in its sector and will be aiming for a top-ranking impact factor. Primary research articles should report hypothesis driven investigations that provide new insights into mechanisms and processes that determine productivity and properties for exploitation. Review articles are welcome but they must be critical in approach and provide particularly novel and far reaching insights. Food and Energy Security offers authors a forum for the discussion of the most important advances in this field and promotes an integrative approach of scientific disciplines. Papers must contribute substantially to the advancement of knowledge. Examples of areas covered in Food and Energy Security include: • Agronomy • Biotechnological Approaches • Breeding & Genetics • Climate Change • Quality and Composition • Food Crops and Bioenergy Feedstocks • Developmental, Physiology and Biochemistry • Functional Genomics • Molecular Biology • Pest and Disease Management • Post Harvest Biology • Soil Science • Systems Biology
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