This study evaluated socioeconomic factors influencing the uptake of regenerative agriculture technologies in the dry lands of Embu County. Semi-structured questionnaires were administered to 400 ...farm households. Multivariate Probit model (MVP) and percentage were used to analyse the data. The findings of the study indicate that several socioeconomic factors including farming experience, farm size, main occupation, off-farm activities, age, gender, marital status and education level influenced the uptake of various regenerative agriculture technologies. Government and other inventors should take these factors into consideration while making decisions and formulating policies to support the dissemination and uptake of agricultural innovations.
The study examined the factors that drive decisions to adopt and use irrigation technologies among smallholder farmers in Machakos County, Kenya. Data were collected from a sample of 300 smallholder ...farmers. Cross-sectional survey design, a multistage sampling procedure and random sampling method were employed. Percentages, means and econometric analysis were used in data analysis. Results showed that, 31.7% of the respondents practiced irrigation. Sex of household head, education, farm size, off-farm income, credit accessed and access to extension services positively influenced adoption of irrigation technologies. Adoption intensity was positively influenced by gender, off-farm income, farming experience, primary occupation and extension services. As a result, it is suggested that while formulating development strategies and programs for smallholder farmers, agricultural extension organizations should give priority to these factors.
The study examined the factors that drive decisions to adopt and use irrigation technologies among smallholder farmers in Machakos County, Kenya. Data were collected from a sample of 300 smallholder ...farmers. Cross-sectional survey design, a multistage sampling procedure and random sampling method were employed. Percentages, means and econometric analysis were used in data analysis. Results showed that, 31.7% of the respondents practiced irrigation. Sex of household head, education, farm size, off-farm income, credit accessed and access to extension services positively influenced adoption of irrigation technologies. Adoption intensity was positively influenced by gender, off-farm income, farming experience, primary occupation and extension services. As a result, it is suggested that while formulating development strategies and programs for smallholder farmers, agricultural extension organizations should give priority to these factors.
The study examined the factors that drive decisions to adopt and use irrigation technologies among smallholder farmers in Machakos County, Kenya. Data were collected from a sample of 300 smallholder ...farmers. Cross-sectional survey design, a multistage sampling procedure and random sampling method were employed. Percentages, means and econometric analysis were used in data analysis. Results showed that, 31.7% of the respondents practiced irrigation. Sex of household head, education, farm size, off-farm income, credit accessed and access to extension services positively influenced adoption of irrigation technologies. Adoption intensity was positively influenced by gender, off-farm income, farming experience, primary occupation and extension services. As a result, it is suggested that while formulating development strategies and programs for smallholder farmers, agricultural extension organizations should give priority to these factors.
This study evaluated socioeconomic factors influencing the uptake of regenerative agriculture technologies in the dry lands of Embu County. Semi-structured questionnaires were administered to 400 ...farm households. Multivariate Probit model (MVP) and percentage were used to analyse the data. The findings of the study indicate that several socioeconomic factors including farming experience, farm size, main occupation, off-farm activities, age, gender, marital status and education level influenced the uptake of various regenerative agriculture technologies. Government and other inventors should take these factors into consideration while making decisions and formulating policies to support the dissemination and uptake of agricultural innovations.
The study examined the effect of extension-market linkages on banana commercialisation among smallholder farmers in the Meru region, Kenya. The study sampled 400 farmers from a target population of ...288,802 from the Meru region. The Tobit model was used to analyse the effect of extension-market linkages on banana commercialisation. The results revealed that sources of marketing information (Coef. -0.06) had a negative influence on farmers commercialising banana production. The result showed that the reliability of local extension service providers in enabling farmer’s access to market information (Coef. 0.04) had a positive influence on farmers commercialising banana production. The findings also showed that users of marketing information in the commercialisation banana business (Coef. 0.63) had a positive influence on farmers commercialising banana production. The study concludes that there was an association between extension marketing linkages and banana commercialization among smallholder farmers in Meru region, Kenya. Government should create and implement more policies that will favour and encourage farmers to commercialise bananas. This will help farmers increase their income.
The study investigated factors influencing uptake of multiple climate change adaptation practices among smallholder farmers. Multistage sampling procedure was used to select 384 small-scale farmers. ...Percentage and regression were used in the analysis. The empirical results indicated complementarity among all the adaptation practices (i.e. integrated farming system, intercropping, crop rotation, conservation agriculture, agroforestry, crop diversification and water harvesting). Among the socio-economic factors, age and household size had significant and differing effects on all the adaptation practices. Among the institutional factors, distance to markets positively or negatively influenced uptake of all the technologies. The study, therefore, calls for agricultural policy reforms that aim at designing incentive programs which adequately address most of the issues related to uptake of adaptation practices as well as encouraging off-farm diversification. Keywords: Adoption, agricultural technologies; smallholder farmers
The study examined the effect of extension-market linkages on banana commercialization among smallholder farmers in the Meru region, Kenya. The study adopted a pragmatic paradigm and a ...cross-sectional survey design, sampling 370 and 30 farmers proportionately from 269,499 and 19,303 smallholder banana farmers in Meru and Tharaka-Nithi Counties of Kenya, respectively. The Tobit model was used to analyze the effect of extension-Market linkages on banana commercialization. The results revealed that sources of the Marketing information (Coef. -.0676939) had a negative influence on farmers commercializing banana production. The result showed that the Reliability of local extension service provider in enabling farmers access to market information (Coef. 0.037) had a positive influence on farmers commercializing banana production. The findings also showed that users of marketing information in commercializing banana business (Coef. 0.636157) had a positive influence on farmers commercializing banana production. It is recommended that the government should create and implement more policies that will favour and encourage farmers to commercialize banana. This will help farmers increase their income.
Abstract The study investigated the factors influencing adoption of improved cultivars of macadamia (Macadamia spp) among small-scale farmers in Embu County, Kenya. Data was collected from a sample ...of 384 small-scale farmers obtained through multistage stratified sampling technique and probability proportionate to size in ten sub-locations in the study area. Binary Logit model was used to determine the effect of selected institutional and socio-economic factors on adoption of improved cultivars of macadamia. The results revealed that education level, access to extension services and farm size had significant positive influence on adoption of improved cultivars of macadamia while age of the farmer and market distance had a negative influence on the same. There is need to encourage the youth to embrace macadamia farming and to develop smart marketing strategies to promote adoption of improved cultivars.
Abstract The study investigated the factors influencing adoption of improved cultivars of macadamia (Macadamia spp) among small-scale farmers in Embu County, Kenya. Data was collected from a sample ...of 384 small-scale farmers obtained through multistage stratified sampling technique and probability proportionate to size in ten sub-locations in the study area. Binary Logit model was used to determine the effect of selected institutional and socio-economic factors on adoption of improved cultivars of macadamia. The results revealed that education level, access to extension services and farm size had significant positive influence on adoption of improved cultivars of macadamia while age of the farmer and market distance had a negative influence on the same. There is need to encourage the youth to embrace macadamia farming and to develop smart marketing strategies to promote adoption of improved cultivars.
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