农林业作为气候智能型实践的评估:来自孟加拉国西北部地区农民的证据

IF 1.3 Q3 AGRONOMY
Md. Manik Ali, Babor Ahmad, Md Shafiqul Bari, Abinash Chandra Pal, Md. Lutfor Rahman, Israt Jahan Sarmin
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引用次数: 0

摘要

近年来,由于农林系统对环境和人类健康的有利影响,该系统在孟加拉国大受欢迎。这些系统对支持可持续农业至关重要,因为它们增加了多样性、提高了粮食安全并提供了收入。本研究的主要目的是说明农林业如何成为孟加拉国广泛使用的生态和气候适应性实践。研究探讨了投资分析、采用影响因素以及农林业实践的优势、劣势、机会和威胁(SWOT)分析。研究采用多阶段随机选择技术,共选择了 340 名受访者进行广泛研究。研究结果表明,农民在实践中存在差异,他们对农林业的认识很高,但应用却很有限。采用效益成本比、净现值和内部收益率等指标进行的财务分析有利于农林业,表明其经济可行性和对采用者的潜在好处。此外,二元逻辑回归模型也对农林业的采用产生了显著影响,该模型强调了几个重要特征,包括农场规模较大、年龄较小、教育水平较高、培训经验丰富、经常接受推广访问以及市场准入能力较强。研究还发现了采用该技术的障碍,如缺乏训练有素的劳动力、技术援助和教育不力。这项透彻的分析阐明了孟加拉国实施农林业的机遇和制约因素。它建议通过有针对性的培训措施,增强农民的能力,提供可观察到的优势,并促进全国范围内的认可,从而广泛采用农林业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An assessment of agroforestry as a climate-smart practice: Evidences from farmers of northwestern region of Bangladesh

An assessment of agroforestry as a climate-smart practice: Evidences from farmers of northwestern region of Bangladesh

Agroforestry systems have grown significantly in popularity in Bangladesh during recent years due to their favorable effects on the environment and human health. These systems are essential for supporting sustainable agriculture because they increase diversity, improve food security, and provide revenue. This study's main objective is to show how agroforestry is a widely used ecological and climate-resilient practice in Bangladesh. The research explores investment analysis, adoption-influencing factors, and a strength, weakness, opportunities, and threats (SWOT) analysis of agroforestry practices. A total of 340 respondents were chosen for this extensive study using a multistage random selection technique. The results showed a discrepancy in practice, with farmers exhibiting a high degree of awareness but limited application. Financial analysis employing metrics such as benefit-cost ratio, net present value, and internal rate of return favored agroforestry, indicating its economic viability and potential benefits for adopters. Additionally, the adoption of agroforestry was found to be significantly influenced by a binary logistic regression model that highlighted several important features, including larger farm sizes, younger age groups, greater education levels, training experiences, frequent extension visits, and enhanced market access. The study also identified barriers to adoption, such as a lack of trained labor, poor technical assistance, and education. This thorough analysis clarifies the opportunities and constraints for agroforestry implementation in Bangladesh. It suggests broad adoption by means of focused training initiatives that empower farmers, provide observable advantages, and promote nationwide acceptance.

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来源期刊
Agrosystems, Geosciences & Environment
Agrosystems, Geosciences & Environment Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
2.60
自引率
0.00%
发文量
80
审稿时长
24 weeks
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