采用气候智能型农业干预措施的限制和前景:对农业可持续性的影响

Md Maruf Billah , Mohammad Mahmudur Rahman , Santiago Mahimairaja , Alvin Lal , Asadi Srinivasulu , Ravi Naidu
{"title":"采用气候智能型农业干预措施的限制和前景:对农业可持续性的影响","authors":"Md Maruf Billah ,&nbsp;Mohammad Mahmudur Rahman ,&nbsp;Santiago Mahimairaja ,&nbsp;Alvin Lal ,&nbsp;Asadi Srinivasulu ,&nbsp;Ravi Naidu","doi":"10.1016/j.csag.2025.100066","DOIUrl":null,"url":null,"abstract":"<div><div>Climate Smart Agriculture (CSA) is the core of agricultural systems and adoption of CSA interventions plays a vital role in supporting sustainable agricultural development. The study aimed at evaluating the perceived constraints and prospects of adoption of CSA interventions in relation to farm sustainability. The mixed-method research (qualitative and quantitative) was conducted employing focus group discussion, key informant interviews and face-to-face interviews with 390 farm household head using semi-structured questionnaire in Bangladesh during 2024. A positive and significant perception regarding adoption of CSA interventions was perceived among surveyed respondents. The commonly adopted CSA interventions were integrated pest management (88.46 ​%), high yielding varieties (84.87 ​%), stress tolerant varieties (80.26 ​%) and so forth. Among the broad spectrum of problems, institutional constraints (<span><math><mrow><mover><mi>x</mi><mo>¯</mo></mover></mrow></math></span> ​= ​617.2), economic constraints (<span><math><mrow><mover><mi>x</mi><mo>¯</mo></mover></mrow></math></span> ​= ​587.4) and technological constraints (<span><math><mrow><mover><mi>x</mi><mo>¯</mo></mover></mrow></math></span> ​= ​586.6) ranked most severe. However, illiteracy, high cost of innovations, inadequate farmers' organization, lack of modern technologies, and poor access to weather information were identified as acute specific constraints. In contrast, increased farm productivity (87.95 ​%), ensure food security (83.08 ​%), and alleviation of poverty (79.74 ​%) were professed as decidedly potential prospects of CSA interventions. Machine learning evaluation indicates that proximity to office, access to extension services, training exposure, and group membership were the most significant factors prompting adoption of CSA interventions. The study explores the insights of adoption of CSA interventions. The outcomes will assist concerned departments and policymakers to plan and initiate feasible strategies (awareness and motivational programs, subsidy for CSA innovations, and reformation of extension and advisory services) for developing climate smart agricultural system and supporting farm sustainability.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 3","pages":"Article 100066"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constraints and prospects of adoption of climate smart agriculture interventions: Implication for farm sustainability\",\"authors\":\"Md Maruf Billah ,&nbsp;Mohammad Mahmudur Rahman ,&nbsp;Santiago Mahimairaja ,&nbsp;Alvin Lal ,&nbsp;Asadi Srinivasulu ,&nbsp;Ravi Naidu\",\"doi\":\"10.1016/j.csag.2025.100066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Climate Smart Agriculture (CSA) is the core of agricultural systems and adoption of CSA interventions plays a vital role in supporting sustainable agricultural development. The study aimed at evaluating the perceived constraints and prospects of adoption of CSA interventions in relation to farm sustainability. The mixed-method research (qualitative and quantitative) was conducted employing focus group discussion, key informant interviews and face-to-face interviews with 390 farm household head using semi-structured questionnaire in Bangladesh during 2024. A positive and significant perception regarding adoption of CSA interventions was perceived among surveyed respondents. The commonly adopted CSA interventions were integrated pest management (88.46 ​%), high yielding varieties (84.87 ​%), stress tolerant varieties (80.26 ​%) and so forth. Among the broad spectrum of problems, institutional constraints (<span><math><mrow><mover><mi>x</mi><mo>¯</mo></mover></mrow></math></span> ​= ​617.2), economic constraints (<span><math><mrow><mover><mi>x</mi><mo>¯</mo></mover></mrow></math></span> ​= ​587.4) and technological constraints (<span><math><mrow><mover><mi>x</mi><mo>¯</mo></mover></mrow></math></span> ​= ​586.6) ranked most severe. However, illiteracy, high cost of innovations, inadequate farmers' organization, lack of modern technologies, and poor access to weather information were identified as acute specific constraints. In contrast, increased farm productivity (87.95 ​%), ensure food security (83.08 ​%), and alleviation of poverty (79.74 ​%) were professed as decidedly potential prospects of CSA interventions. Machine learning evaluation indicates that proximity to office, access to extension services, training exposure, and group membership were the most significant factors prompting adoption of CSA interventions. The study explores the insights of adoption of CSA interventions. The outcomes will assist concerned departments and policymakers to plan and initiate feasible strategies (awareness and motivational programs, subsidy for CSA innovations, and reformation of extension and advisory services) for developing climate smart agricultural system and supporting farm sustainability.</div></div>\",\"PeriodicalId\":100262,\"journal\":{\"name\":\"Climate Smart Agriculture\",\"volume\":\"2 3\",\"pages\":\"Article 100066\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Climate Smart Agriculture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2950409025000279\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate Smart Agriculture","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2950409025000279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

气候智慧型农业(CSA)是农业系统的核心,采用气候智慧型农业干预措施在支持可持续农业发展方面发挥着至关重要的作用。该研究旨在评估与农场可持续性有关的采用CSA干预措施的感知限制和前景。本研究采用混合方法(定性和定量),采用焦点小组讨论、关键信息提供者访谈和面对面访谈的方式,于2024年在孟加拉国使用半结构化问卷对390名农户户主进行访谈。在接受调查的受访者中,对采用CSA干预措施的看法是积极而重要的。采用CSA干预措施最多的是病虫害综合治理(88.46%)、高产品种(84.87%)、抗逆性品种(80.26%)等。在广泛的问题中,制度限制(x¯= 617.2)、经济限制(x¯= 587.4)和技术限制(x¯= 586.6)排名最严重。然而,文盲、创新成本高、农民组织不足、缺乏现代技术以及难以获得天气信息被认为是严重的具体制约因素。相比之下,提高农业生产力(87.95%)、确保粮食安全(83.08%)和减轻贫困(79.74%)被认为是CSA干预措施的明确潜在前景。机器学习评估表明,靠近办公室、获得扩展服务、培训曝光和群体成员是促使采用CSA干预措施的最重要因素。本研究探讨了采用CSA干预措施的见解。研究结果将有助于相关部门和政策制定者规划和启动可行的战略(意识和激励计划、CSA创新补贴、推广和咨询服务改革),以发展气候智慧型农业系统,支持农业可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Constraints and prospects of adoption of climate smart agriculture interventions: Implication for farm sustainability

Constraints and prospects of adoption of climate smart agriculture interventions: Implication for farm sustainability
Climate Smart Agriculture (CSA) is the core of agricultural systems and adoption of CSA interventions plays a vital role in supporting sustainable agricultural development. The study aimed at evaluating the perceived constraints and prospects of adoption of CSA interventions in relation to farm sustainability. The mixed-method research (qualitative and quantitative) was conducted employing focus group discussion, key informant interviews and face-to-face interviews with 390 farm household head using semi-structured questionnaire in Bangladesh during 2024. A positive and significant perception regarding adoption of CSA interventions was perceived among surveyed respondents. The commonly adopted CSA interventions were integrated pest management (88.46 ​%), high yielding varieties (84.87 ​%), stress tolerant varieties (80.26 ​%) and so forth. Among the broad spectrum of problems, institutional constraints (x¯ ​= ​617.2), economic constraints (x¯ ​= ​587.4) and technological constraints (x¯ ​= ​586.6) ranked most severe. However, illiteracy, high cost of innovations, inadequate farmers' organization, lack of modern technologies, and poor access to weather information were identified as acute specific constraints. In contrast, increased farm productivity (87.95 ​%), ensure food security (83.08 ​%), and alleviation of poverty (79.74 ​%) were professed as decidedly potential prospects of CSA interventions. Machine learning evaluation indicates that proximity to office, access to extension services, training exposure, and group membership were the most significant factors prompting adoption of CSA interventions. The study explores the insights of adoption of CSA interventions. The outcomes will assist concerned departments and policymakers to plan and initiate feasible strategies (awareness and motivational programs, subsidy for CSA innovations, and reformation of extension and advisory services) for developing climate smart agricultural system and supporting farm sustainability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信