{"title":"肯尼亚马查科斯县绿克和鸽豆小农直销网点的功能多样性与绩效","authors":"J. Wambua, M. Ngigi, L. Muhammad","doi":"10.1080/00128325.2019.1607813","DOIUrl":null,"url":null,"abstract":"ABSTRACT The smallholder direct marketing outlets (private grain traders) serve the smallholder farmers poorly in the rural areas of Kenya, making local markets thin and less competitive. The purpose of this study is to evaluate the diversity and the determinant factors influencing the private grain traders’ performance based on the volumes transacted of green gram and pigeon pea commodities. A multistage stratified random sampling procedure was employed for this study to obtain relevant information on the grain traders in Mwala and Yatta subcounties. One hundred and ten (110) grain traders were sampled in Mwala (38) and Yatta (72) subcounties. Descriptive statistics and a multiple linear regression were used during analysis. The descriptive statistics indicated that the grain traders were diverse in terms of age with majority being 31 to 40 years old, gender in trading found mainly males (54.5%), trader education status with the majority having college education (58.2%), access to credit with large group of traders not accessing (65.5%) and the distribution of the volume purchased of green gram and pigeon peas grain, which indicated high market concentration and the trader inequality. Our model for the trader purchases of green gram and pigeon pea grain was correctly described by the multiple linear regression model. The results obtained from the ANOVA indicated that the overall regression is significant, F(16, 93) = 2 632.316, p < 0.000 for the green gram purchases and F(16, 93) = 660.542, p < 0.01 for the pigeon peas purchases. Grain markets for the green gram and pigeon pea functions poorly, because few traders dominate the markets with high shares in the volumes purchased. Few traders are likely to offer low prices to the smallholder farmers of green gram and pigeon pea. There is a possibility of collusion in the market, owing to few traders in the market.","PeriodicalId":11421,"journal":{"name":"East African Agricultural and Forestry Journal","volume":"12 3 1","pages":"239 - 267"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Functional Diversity and Performance of Direct Marketing Outlets for Smallholder Farmers of Green Gram and Pigeon Pea Commodities in Machakos County, Kenya\",\"authors\":\"J. Wambua, M. Ngigi, L. Muhammad\",\"doi\":\"10.1080/00128325.2019.1607813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT The smallholder direct marketing outlets (private grain traders) serve the smallholder farmers poorly in the rural areas of Kenya, making local markets thin and less competitive. The purpose of this study is to evaluate the diversity and the determinant factors influencing the private grain traders’ performance based on the volumes transacted of green gram and pigeon pea commodities. A multistage stratified random sampling procedure was employed for this study to obtain relevant information on the grain traders in Mwala and Yatta subcounties. One hundred and ten (110) grain traders were sampled in Mwala (38) and Yatta (72) subcounties. Descriptive statistics and a multiple linear regression were used during analysis. The descriptive statistics indicated that the grain traders were diverse in terms of age with majority being 31 to 40 years old, gender in trading found mainly males (54.5%), trader education status with the majority having college education (58.2%), access to credit with large group of traders not accessing (65.5%) and the distribution of the volume purchased of green gram and pigeon peas grain, which indicated high market concentration and the trader inequality. Our model for the trader purchases of green gram and pigeon pea grain was correctly described by the multiple linear regression model. The results obtained from the ANOVA indicated that the overall regression is significant, F(16, 93) = 2 632.316, p < 0.000 for the green gram purchases and F(16, 93) = 660.542, p < 0.01 for the pigeon peas purchases. Grain markets for the green gram and pigeon pea functions poorly, because few traders dominate the markets with high shares in the volumes purchased. Few traders are likely to offer low prices to the smallholder farmers of green gram and pigeon pea. 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引用次数: 0
摘要
肯尼亚农村地区的小农直销网点(私营粮食贸易商)对小农的服务很差,导致当地市场单薄,竞争力下降。本研究的目的是基于绿克和鸽豆的交易量来评估私营粮食贸易商的多样性及其影响其绩效的决定因素。本研究采用多阶段分层随机抽样方法获取姆瓦拉县和亚塔县粮食贸易商的相关信息。在Mwala(38)和Yatta(72)两个县抽样调查了110名粮食贸易商。在分析中使用描述性统计和多元线性回归。描述性统计表明,粮食贸易商的年龄分布多样化,以31 ~ 40岁居多,交易性别以男性为主(54.5%),贸易商的学历以大专以上学历为主(58.2%),获得信贷的贸易商居多,未获得信贷的贸易商占比较大(65.5%),绿克和鹰口豆粮食购进量分布不均,市场集中度高,贸易商不平等。用多元线性回归模型正确地描述了商人购买绿克和鸽豆的情况。方差分析结果表明,总体回归显著,绿克采购量F(16,93) = 2 632.316, p < 0.000,鸽豆采购量F(16,93) = 660.542, p < 0.01。绿克和鸽豆的粮食市场运作不佳,因为很少有交易商在购买量中占据高份额。很少有贸易商可能向种植绿克和鸽豆的小农提供低价。由于市场上交易者少,市场上有勾结的可能。
Functional Diversity and Performance of Direct Marketing Outlets for Smallholder Farmers of Green Gram and Pigeon Pea Commodities in Machakos County, Kenya
ABSTRACT The smallholder direct marketing outlets (private grain traders) serve the smallholder farmers poorly in the rural areas of Kenya, making local markets thin and less competitive. The purpose of this study is to evaluate the diversity and the determinant factors influencing the private grain traders’ performance based on the volumes transacted of green gram and pigeon pea commodities. A multistage stratified random sampling procedure was employed for this study to obtain relevant information on the grain traders in Mwala and Yatta subcounties. One hundred and ten (110) grain traders were sampled in Mwala (38) and Yatta (72) subcounties. Descriptive statistics and a multiple linear regression were used during analysis. The descriptive statistics indicated that the grain traders were diverse in terms of age with majority being 31 to 40 years old, gender in trading found mainly males (54.5%), trader education status with the majority having college education (58.2%), access to credit with large group of traders not accessing (65.5%) and the distribution of the volume purchased of green gram and pigeon peas grain, which indicated high market concentration and the trader inequality. Our model for the trader purchases of green gram and pigeon pea grain was correctly described by the multiple linear regression model. The results obtained from the ANOVA indicated that the overall regression is significant, F(16, 93) = 2 632.316, p < 0.000 for the green gram purchases and F(16, 93) = 660.542, p < 0.01 for the pigeon peas purchases. Grain markets for the green gram and pigeon pea functions poorly, because few traders dominate the markets with high shares in the volumes purchased. Few traders are likely to offer low prices to the smallholder farmers of green gram and pigeon pea. There is a possibility of collusion in the market, owing to few traders in the market.