{"title":"影响肯尼亚卡卡梅加县小农采用气候智能型农业做法的因素","authors":"S. Ndung'u, V. Ogema, M. Thiga, P. Wandahwa","doi":"10.18697/ajfand.125.23400","DOIUrl":null,"url":null,"abstract":"Most of Kenya’s population’s livelihoods and agri-food systems rely on rain-fed agriculture making them vulnerable to climate change. The adverse effects of climate change on agricultural production have necessitated the promotion of Climate-Smart Agriculture (CSA) technologies. Climate-Smart Agriculture (CSA) technologies help guide actions needed to transform and reorient agricultural systems to effectively support development and ensure food security by increasing farmers’ resilience to climate change. This study sought to ascertain the current state of CSA practices among Kakamega County's smallholder farmers to identify the main drivers of CSA adoption. Stratified sampling was used to select six sub-counties to represent the county's various agroecological zones and regions for the research sample. A combination of purposive and snowball sampling was used to select 428 smallholder CSA farmers of which 182 were adopters while 246 were dis-adopters. Primary data were collected using interview guides developed through the Kobo Collect Application. Microsoft Excel and Statistical Package for Social Sciences (SPSS) statistical packages were used to process and analyze the data. This study established that CSA technologies in Kakamega are mainly promoted by international development partners, non-governmental organizations and research organizations. In addition, the most adopted CSA technologies were agroforestry, composting, and soil and water conservation structures, while push-pull technology, conservation agriculture, and vermiculture were the least adopted. This study, further, established that smallholder farmers’ level of education, membership to a farmers’ group, interaction with extension officers and farming experience influenced adoption of CSA technologies. Other factors are those that increase household productive resources, such as land ownership, household income, and access to agricultural credit. The results of this study suggest that those who promote CSA technologies, policymakers, extension service providers, and other stakeholders should take smallholder farmers' socioeconomic and bio-physical factors into account when doing so. Key words: Climate-smart agriculture, CSA practices, CSA adoption, CSA dis-adoption, smallholder farmers","PeriodicalId":7710,"journal":{"name":"African Journal of Food, Agriculture, Nutrition and Development","volume":"67 51","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors influencing the adoption of climate smart agriculture practices among smallholder farmers in Kakamega County, Kenya\",\"authors\":\"S. Ndung'u, V. Ogema, M. Thiga, P. Wandahwa\",\"doi\":\"10.18697/ajfand.125.23400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most of Kenya’s population’s livelihoods and agri-food systems rely on rain-fed agriculture making them vulnerable to climate change. The adverse effects of climate change on agricultural production have necessitated the promotion of Climate-Smart Agriculture (CSA) technologies. Climate-Smart Agriculture (CSA) technologies help guide actions needed to transform and reorient agricultural systems to effectively support development and ensure food security by increasing farmers’ resilience to climate change. This study sought to ascertain the current state of CSA practices among Kakamega County's smallholder farmers to identify the main drivers of CSA adoption. Stratified sampling was used to select six sub-counties to represent the county's various agroecological zones and regions for the research sample. A combination of purposive and snowball sampling was used to select 428 smallholder CSA farmers of which 182 were adopters while 246 were dis-adopters. Primary data were collected using interview guides developed through the Kobo Collect Application. Microsoft Excel and Statistical Package for Social Sciences (SPSS) statistical packages were used to process and analyze the data. This study established that CSA technologies in Kakamega are mainly promoted by international development partners, non-governmental organizations and research organizations. In addition, the most adopted CSA technologies were agroforestry, composting, and soil and water conservation structures, while push-pull technology, conservation agriculture, and vermiculture were the least adopted. This study, further, established that smallholder farmers’ level of education, membership to a farmers’ group, interaction with extension officers and farming experience influenced adoption of CSA technologies. Other factors are those that increase household productive resources, such as land ownership, household income, and access to agricultural credit. The results of this study suggest that those who promote CSA technologies, policymakers, extension service providers, and other stakeholders should take smallholder farmers' socioeconomic and bio-physical factors into account when doing so. Key words: Climate-smart agriculture, CSA practices, CSA adoption, CSA dis-adoption, smallholder farmers\",\"PeriodicalId\":7710,\"journal\":{\"name\":\"African Journal of Food, Agriculture, Nutrition and Development\",\"volume\":\"67 51\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"African Journal of Food, Agriculture, Nutrition and Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18697/ajfand.125.23400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Journal of Food, Agriculture, Nutrition and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18697/ajfand.125.23400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
摘要
肯尼亚大多数人口的生计和农业粮食系统依赖雨养农业,这使他们很容易受到气候变化的影响。气候变化对农业生产的不利影响使得推广气候智慧型农业(CSA)技术成为必要。气候智慧型农业(CSA)技术有助于指导农业系统转型和重新定位所需的行动,通过提高农民对气候变化的适应能力,有效支持发展并确保粮食安全。本研究旨在确定Kakamega县小农的CSA实践现状,以确定采用CSA的主要驱动因素。采用分层抽样的方法,选取了代表该县不同农业生态区和区域的6个副县作为研究样本。采用目的抽样和滚雪球抽样相结合的方法,选取了428名农村小农,其中收养者182人,不收养者246人。主要数据是通过Kobo收集应用程序开发的访谈指南收集的。采用Microsoft Excel和SPSS (Statistical Package for Social Sciences)统计软件包对数据进行处理分析。本研究确定,Kakamega的CSA技术主要由国际发展伙伴、非政府组织和研究组织推广。此外,采用CSA技术最多的是农林业、堆肥和水土保持结构,而采用推拉技术、保护性农业和蚯蚓养殖的技术最少。本研究进一步证实,小农的教育水平、农民团体的成员资格、与推广官员的互动以及耕作经验会影响CSA技术的采用。其他因素是增加家庭生产资源的因素,如土地所有权、家庭收入和获得农业信贷的机会。研究结果表明,推广CSA技术的决策者、推广服务提供者和其他利益相关者在推广CSA技术时应考虑小农的社会经济和生物物理因素。关键词:气候智慧型农业,CSA实践,CSA采用,CSA不采用,小农
Factors influencing the adoption of climate smart agriculture practices among smallholder farmers in Kakamega County, Kenya
Most of Kenya’s population’s livelihoods and agri-food systems rely on rain-fed agriculture making them vulnerable to climate change. The adverse effects of climate change on agricultural production have necessitated the promotion of Climate-Smart Agriculture (CSA) technologies. Climate-Smart Agriculture (CSA) technologies help guide actions needed to transform and reorient agricultural systems to effectively support development and ensure food security by increasing farmers’ resilience to climate change. This study sought to ascertain the current state of CSA practices among Kakamega County's smallholder farmers to identify the main drivers of CSA adoption. Stratified sampling was used to select six sub-counties to represent the county's various agroecological zones and regions for the research sample. A combination of purposive and snowball sampling was used to select 428 smallholder CSA farmers of which 182 were adopters while 246 were dis-adopters. Primary data were collected using interview guides developed through the Kobo Collect Application. Microsoft Excel and Statistical Package for Social Sciences (SPSS) statistical packages were used to process and analyze the data. This study established that CSA technologies in Kakamega are mainly promoted by international development partners, non-governmental organizations and research organizations. In addition, the most adopted CSA technologies were agroforestry, composting, and soil and water conservation structures, while push-pull technology, conservation agriculture, and vermiculture were the least adopted. This study, further, established that smallholder farmers’ level of education, membership to a farmers’ group, interaction with extension officers and farming experience influenced adoption of CSA technologies. Other factors are those that increase household productive resources, such as land ownership, household income, and access to agricultural credit. The results of this study suggest that those who promote CSA technologies, policymakers, extension service providers, and other stakeholders should take smallholder farmers' socioeconomic and bio-physical factors into account when doing so. Key words: Climate-smart agriculture, CSA practices, CSA adoption, CSA dis-adoption, smallholder farmers
期刊介绍:
The African Journal of Food, Agriculture, Nutrition and Development (AJFAND) is a highly cited and prestigious quarterly peer reviewed journal with a global reputation, published in Kenya by the Africa Scholarly Science Communications Trust (ASSCAT). Our internationally recognized publishing programme covers a wide range of scientific and development disciplines, including agriculture, food, nutrition, environmental management and sustainable development related information.