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Beneficiaries’ attitudes towards resources withdrawal for selected donor-funded agriculture-related projects in Tanzania: A social cognitive theory perspective

The study, using a comparative case study design, explored the attitude of local direct beneficiaries concerning the cessation of resources for two donor-funded agriculture-related projects in Tanzania from a Social Cognitive Theory perspective. Using a 5-point Likert Scale, data from 274 respondents were collected and analysed. Before data analysis, validity and reliability tests were performed and determined to be good. Descriptive statistics including percentages and frequencies were done. Additionally, a chi-square test was done to establish the association between variables. The findings show that local beneficiaries with higher self-efficacy and wider outcome expectancies had a positive attitude as opposed to their counterparts. Also, a positive significant relationship existed between self-efficacy and attitude (P<0.01) and between outcome expectancies and attitudes (P<0.05). Equipping local beneficiaries with the competencies needed to solve problems on their own and the continued functioning of VBAAs can aid local beneficiaries in maintaining a positive attitude post-project resources withdrawal. The study recommends that a transition phase is critical for project implementers to solidify benefits and benefit-enhancing behaviours. Also promoting community-based extension services by institutionalising VBAAs within the LGAs should be given a priority for enhancing sustainability

Beneficiaries’ attitudes towards resources withdrawal for selected donor-funded agriculture-related projects in Tanzania: A social cognitive theory perspective

The study, using a comparative case study design, explored the attitude of local direct beneficiaries concerning the cessation of resources for two donor-funded agriculture-related projects in Tanzania from a Social Cognitive Theory perspective. Using a 5-point Likert Scale, data from 274 respondents were collected and analysed. Before data analysis, validity and reliability tests were performed and determined to be good. Descriptive statistics including percentages and frequencies were done. Additionally, a chi-square test was done to establish the association between variables. The findings show that local beneficiaries with higher self-efficacy and wider outcome expectancies had a positive attitude as opposed to their counterparts. Also, a positive significant relationship existed between self-efficacy and attitude (P<0.01) and between outcome expectancies and attitudes (P<0.05). Equipping local beneficiaries with the competencies needed to solve problems on their own and the continued functioning of VBAAs can aid local beneficiaries in maintaining a positive attitude post-project resources withdrawal. The study recommends that a transition phase is critical for project implementers to solidify benefits and benefit-enhancing behaviours. Also promoting community-based extension services by institutionalising VBAAs within the LGAs should be given a priority for enhancing sustainability

Economic impact of adopting bundled SAPs on crop yield and household incomes among smallholder maize farmers in Morogoro region, Tanzania

This paper uses a multinomial endogenous treatment effect model and data from a sample of 470 farming households to assess the impacts of adopting sustainable agricultural practices (SAPs) on farm yield and household incomes among smallholder maize farmers in Morogoro region. Results show that combination of improved maize and crop residual significantly increased maize yield by 46%, while intercropping with crop residual (65%), improved maize seeds with manure use (58%), and maize rotation with intercropping (57%). The model estimates indicate that individual elements of SAPs increased yield by crop residual (30%), crop rotation (38%), improved maize varieties (85%), intercropping (58%), and manure (43%) whereas, the application of bundled SAPs had significant impacts on the household income via the following combinations; maize-legume rotation and crop residual (50%), improved maize and crop residual (46%), improved maize and manure (70%), maize-legumes rotation and improved maize (46%), maize rotation and intercropping (68%), maize rotation, improved maize, crop residual, and intercropping (41%), and lastly improved maize, intercropping, manure, crop residual, and crop rotation (55%). The study recommends actors involved in the design, promotion and dissemination of SAPs to find a suitable mix or combination of these practices that will enhance maize productivity and incomes, while simultaneously addressing issues related to the dis-adoption of SAPs, and climate change, by raising awareness and educating to farmers about the benefits of using SAPs and implementing mitigative measures for climate change. This includes providing financial incentives such as loans and subsidies, as well as conducting policy reforms to evaluate and adjust policies that currently favor the use of conventional practices in Tanzania

Economic impact of adopting bundled SAPs on crop yield and household incomes among smallholder maize farmers in Morogoro region, Tanzania

This paper uses a multinomial endogenous treatment effect model and data from a sample of 470 farming households to assess the impacts of adopting sustainable agricultural practices (SAPs) on farm yield and household incomes among smallholder maize farmers in Morogoro region. Results show that combination of improved maize and crop residual significantly increased maize yield by 46%, while intercropping with crop residual (65%), improved maize seeds with manure use (58%), and maize rotation with intercropping (57%). The model estimates indicate that individual elements of SAPs increased yield by crop residual (30%), crop rotation (38%), improved maize varieties (85%), intercropping (58%), and manure (43%) whereas, the application of bundled SAPs had significant impacts on the household income via the following combinations; maize-legume rotation and crop residual (50%), improved maize and crop residual (46%), improved maize and manure (70%), maize-legumes rotation and improved maize (46%), maize rotation and intercropping (68%), maize rotation, improved maize, crop residual, and intercropping (41%), and lastly improved maize, intercropping, manure, crop residual, and crop rotation (55%). The study recommends actors involved in the design, promotion and dissemination of SAPs to find a suitable mix or combination of these practices that will enhance maize productivity and incomes, while simultaneously addressing issues related to the dis-adoption of SAPs, and climate change, by raising awareness and educating to farmers about the benefits of using SAPs and implementing mitigative measures for climate change. This includes providing financial incentives such as loans and subsidies, as well as conducting policy reforms to evaluate and adjust policies that currently favor the use of conventional practices in Tanzania

Determinants of Adoption of Bundled Sustainable Agriculture Practices among Small-Scale Maize Farmers in Mvomero and Kilosa Districts, Tanzania

The study, using data set from the adoption pathway survey and utility maximization theory examined the determinants of adoption of bundled sustainable agriculture practices (SAPs) among smallholder maize farmers in Tanzania. The SAPs considered include crop rotation, intercropping, manure, improved seeds, and crop residual. Using the Multivariate probit model, data collected from 470 farming households from Kilosa and Mvomero districts through a multi-stage sampling procedure were analyzed. Before data analysis, validity and reliability tests were performed and deemed satisfactory. The empirical results show that age, gender, family size, education level, farm size, livestock ownership, access to extension services, production shocks, and distance from the market had a significant impact on the adoption of multiple SAPs. In addition, the results show that six pairwise correlation coefficients among SAPs were statistically significant, implying that smallholder maize farmers adopt SAPs concurrently. These findings implore policymakers and agricultural development organizations to take these significant factors into account when planning, advocating for, and supporting the adoption of multiple SAPs. Furthermore, the simultaneous adoption of SAPs necessitates that each of the practices be viewed as a package that contributes to the expansion of farmer’s options and the maximization of synergistic effects between them. Thus, agricultural policymakers should focus on enhancing smallholder farmers’ household characteristics by reviewing agriculture policies with the inclusion of extension services to come up with a package that is tailored to the perceived actual needs of farming households and designing farm management usage programme based on the farmer’s household characteristics

InnovAfrica project endline survey data for Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania

A consortium of 16 institutions comprising five institutions from Europe and eleven institutions from Africa implemented a project entitled "Innovations in Technology, Institutional and Extension Approaches towards Sustainable Agriculture and enhanced Food and Nutritional Security in Africa (InnovAfrica)" in six countries of eastern and southern Africa namely Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania from June 2017 to November 2021. The InnovAfrica project collected endline data from 12 pilot sites (two sites per country) in the third years of the project. The data collected during the Endline survey is presented in this document.There is no restriction to use these data set.Funding provided by: H2020*Crossref Funder Registry ID: Award Number: 727201The endline data were collected from 12 pilot study sites comprising two sites each from Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania using structured questionnaire and focus group discussion

InnovAfrica project baseline survey data for Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania

A data set was generated thorugh surveys to establish a baseline inforamtion for a project entitled "Innovations in Technology, Institutional and Extension Approaches towards Sustainable Agriculture and enhanced Food and Nutrition Security in Africa (Acronym - InnovAfrica)". The InnovAfrica is a consortium of 16 institutions comprising five institutions from Europe and eleven institutions from Africa and the project was implemented in six countries of eastern and southern Africa namely Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania from June 2017 to November 2021.There is no restriction to use these data set.Funding provided by: Horizon 2020Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100007601Award Number: 727201The baseline data was collected from 12 pilot sites (2 sites per country) with in the first 12 months of the project using structured questionnaire. Data was first collected using papper based printed questionnaire and later digitalized in KIPUS system (a smart data software)