{"title":"Factors Influencing Diversification to Banana Farming in Kenya: A Case of Imenti South Sub-County","authors":"Ananua Stephen Mwendia, P. Muiruri, I. Mahiri","doi":"10.24940/theijhss/2021/v9/i10/hs2110-034","DOIUrl":null,"url":null,"abstract":": Banana farming has been practiced extensively over the world for a long time with the origin being Malaysia. India is the leading producer in the world and Uganda the leading producer of banana in sub-Saharan Africa. Kenya is one of the nations practicing banana farming, and the country has embraced this activity, with several regions in the country practicing banana farming for subsistence and commercial purposes. Meru County, specifically Imenti South sub-County, has embraced the activity with households in Imenti South sub-County engaging in banana farming at a high rate. This is an area that has formerly been associated with coffee farming as the major cash crop. Therefore, this study sought to investigate drivers of diversification to banana farming among selected households in Imenti South sub-County. The objective of the study was to determine factors influencing diversification to banana farming among households in the study area. The study used a cross-sectional study design employing mixed methods of data collection. Systematic random sampling was used to select a study sample of 388 farmers to participate in the study. Descriptive and multinomial logistical regression was used to analyze quantitative data using SPSS version 20. Findings indicated that 67% of the respondents were males. About a third (32%) of the respondents was aged 41-50 years while only 13% were aged 18-30 years. Close to half of the respondents (48%) had attained primary level of education as the highest education attainment and 39% of the respondents earned an average monthly income level of 5,000 and below. Regression analysis model revealed that Age, monthly income level, land size, access to reliable markets, access to sufficient farm inputs, access to hybrid planting materials, better payment/returns, high crop productivity, availability of sufficient water influence diversification to banana farming (P<0.05). In conclusion, there is high rate of diversification to banana farming which is driven by high returns and productivity of the crop. However, the study established the need for the government and its allied stakeholders to develop and implement policy guidelines which create an enabling environment for diversification to banana farming such as proper market price regulation, supply of water to farms, easy access to production inputs and provision of high quality, hybrid planting materials to farmers.","PeriodicalId":443596,"journal":{"name":"The International Journal of Humanities & Social Studies","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Journal of Humanities & Social Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24940/theijhss/2021/v9/i10/hs2110-034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
: Banana farming has been practiced extensively over the world for a long time with the origin being Malaysia. India is the leading producer in the world and Uganda the leading producer of banana in sub-Saharan Africa. Kenya is one of the nations practicing banana farming, and the country has embraced this activity, with several regions in the country practicing banana farming for subsistence and commercial purposes. Meru County, specifically Imenti South sub-County, has embraced the activity with households in Imenti South sub-County engaging in banana farming at a high rate. This is an area that has formerly been associated with coffee farming as the major cash crop. Therefore, this study sought to investigate drivers of diversification to banana farming among selected households in Imenti South sub-County. The objective of the study was to determine factors influencing diversification to banana farming among households in the study area. The study used a cross-sectional study design employing mixed methods of data collection. Systematic random sampling was used to select a study sample of 388 farmers to participate in the study. Descriptive and multinomial logistical regression was used to analyze quantitative data using SPSS version 20. Findings indicated that 67% of the respondents were males. About a third (32%) of the respondents was aged 41-50 years while only 13% were aged 18-30 years. Close to half of the respondents (48%) had attained primary level of education as the highest education attainment and 39% of the respondents earned an average monthly income level of 5,000 and below. Regression analysis model revealed that Age, monthly income level, land size, access to reliable markets, access to sufficient farm inputs, access to hybrid planting materials, better payment/returns, high crop productivity, availability of sufficient water influence diversification to banana farming (P<0.05). In conclusion, there is high rate of diversification to banana farming which is driven by high returns and productivity of the crop. However, the study established the need for the government and its allied stakeholders to develop and implement policy guidelines which create an enabling environment for diversification to banana farming such as proper market price regulation, supply of water to farms, easy access to production inputs and provision of high quality, hybrid planting materials to farmers.
长期以来,香蕉种植在世界各地广泛开展,原产地是马来西亚。印度是世界上主要的香蕉生产国,乌干达是撒哈拉以南非洲主要的香蕉生产国。肯尼亚是实行香蕉种植的国家之一,这个国家已经接受了这项活动,该国有几个地区实行香蕉种植,以维持生计和商业目的。Meru县,特别是Imenti South副县,开展了这项活动,Imenti South副县的农户从事香蕉种植的比例很高。这个地区以前一直以咖啡种植为主要经济作物。因此,本研究试图在沂门提南副县的选定农户中调查香蕉种植多样化的驱动因素。本研究的目的是确定影响研究区农户香蕉种植多样化的因素。本研究采用混合数据收集方法的横断面研究设计。采用系统随机抽样的方法,选取388名农户作为研究样本参与研究。采用SPSS version 20对定量数据进行描述性和多项逻辑回归分析。调查结果显示,67%的受访者是男性。大约三分之一(32%)的受访者年龄在41-50岁之间,而只有13%的受访者年龄在18-30岁之间。近一半受访者(48%)的最高受教育程度为小学程度,39%受访者的平均月收入为5,000元或以下。回归分析模型显示,年龄、月收入水平、土地面积、获得可靠的市场、获得充足的农业投入、获得杂交种植材料、更好的支付/回报、较高的作物生产力、充足的水供应影响香蕉种植多样化(P<0.05)。总之,香蕉种植的多样化程度很高,这是由作物的高回报和高生产力驱动的。然而,该研究确定了政府及其相关利益相关者需要制定和实施政策指导方针,为香蕉种植多样化创造有利环境,如适当的市场价格监管、向农场供水、容易获得生产投入和向农民提供高质量的杂交种植材料。