参与以牲畜为基础的干预措施及其对孟加拉国粮食安全的影响:准实验方法

Paresh Kumar Sarma
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引用次数: 0

摘要

以畜牧业为基础的干预措施在加强孟加拉国等发展中国家的粮食安全方面发挥着关键作用,有助于提高畜牧业生产率、增加家庭收入、确保粮食安全、增强妇女权能、改善生计,并使农业成为经济增长的催化剂。本研究专门探讨了畜牧业和奶业发展项目(LDDP)干预措施对孟加拉国农村畜牧业家庭粮食安全的影响。在收集数据时,我们采用了简单随机抽样方法,从 LDDP 参与者和非参与者那里收集了 180 个横截面原始数据。为实现研究目标,我们采用了描述性统计、推断性统计和倾向得分匹配法。有 LDDP 参与者的畜牧业家庭表现出更高的粮食安全水平,受益者分别比非参与者高出 52% 和 40%。LDDP 参与户的人均卡路里摄入量为 1966.134(千卡),而非参与户为 1762.130(千卡)。结果表明,LDDP 干预措施对粮食安全、妇女赋权、家庭福利和收入产生了显著的积极影响。这些干预措施具有增强营养和提高家庭收入的潜力,从而有助于稳定粮食安全。因此,我们建议扩大 LDDP 的干预范围,将资源较少的农民纳入其中,并提供足够的后勤支持。本研究说明了采用倾向得分匹配法(PSM)和实施 LDDP 干预措施如何有效改善孟加拉国畜牧业家庭的粮食安全状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Participation in livestock-based interventions and its impact on food security in Bangladesh: A quasi-experimental method

Livestock-based interventions play a critical role in enhancing food security in developing countries like Bangladesh, contributing to enhanced livestock productivity, improved household income, ensured food security, women's empowerment, livelihoods advancement, and positioning agriculture as a catalyst for economic growth. The study specifically examines the impact of the livestock and dairy development project (LDDP) intervention on food security in rural livestock farming households in Bangladesh. We gathered data, we are employing simple random sampling, and collecting 180 cross-sectional primary data from both LDDP participants and non-participants. Descriptive statistics, inferential statistics, and propensity score matching approaches were utilized to achieve our research objectives. Livestock farming households with LDDP participants exhibited higher food security, with beneficiaries surpassing non-participants by 52 % and 40 %, respectively. The mean per capita calorie intake for LDDP participant households was 1966.134 (Kcal), whereas non-participant households recorded 1762.130 (Kcal). The results demonstrate that LDDP intervention significantly and positively impacts food security, women's empowerment, household welfare, and income. These interventions have the potential to enhance nutrition and boost household income, thereby contributing to the stability of food security. Consequently, we recommended an expansion of LDDP intervention, encompassing less resourceful farmers with adequate logistical support. This study illustrates how employing propensity score matching method (PSM) and implementing the LDDP intervention can effectively improve food security in livestock farming households in Bangladesh.

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