scholarly journals Breaking the Traditional Trap: Assessing Drivers of Modern Technology Adoption by Smallholder Farmers in Hurungwe District, Zimbabwe

Author(s):  
Carren Pindiriri
Author(s):  
Sonia Akter ◽  
Namrata Chindarkar ◽  
William Erskine ◽  
Luc Spyckerelle ◽  
Julie Imron ◽  
...  

Author(s):  
Edgar Wakam Ouokam ◽  
Michael Osei Appiah ◽  
Fenchou Morelle Falonne ◽  
Yan Yunxian

Drying has been considered as a key farm-based, quality determining unit operation in the cocoa processing chain which can have an integral effect on the bean quality. In recent years, minimal attention has been directed to this process mainly because of the outdated methods and lack of technical know-how with regards to the modern technology adoption by producers. This article therefore aimed to analyze the adoption and welfare impacts of the Mechanical Drying System in Cameroon using data from a sample of 128 farm households. Using well-structured questionnaires, six villages were included in our study, and about 19 farmers from each village were approached and interviewed. The survey collected valuable information on several issues at the farm level: the data on farmer resources, drying activities, technology choices, constraints, socio-economic profiles, input markets, and cocoa beans processing markets. Using various treatment effect estimators, such as Endogenous Switching Regression, Propensity Score Matching, and Inverse Probability Weighting, our results revealed that adoption of the Mechanical Drying System leads to substantial gains in crop quality, and household incomes. For asset value, households that adopted the MDS technology had a per capita asset value of XAF2608.22 compared to those households that did not adopt the MDS who had a per capita asset value of about XAF412.83 less. Our ESR results further depicted that the adoption of MDS lowered the probability of poverty by 9.29% points for adopters compared to non-adopters. Also, ESR results indicated that the adoption of MDS increased the probability of MDS security for adopters by 37.68% points compared to non-adopters. On average, our PSM results depicted that, MDS adoption increased yield in the range of 614.74 to 679.04 kg/ha for adopters compared to non-adopters and the household income per capita from 86.21 XAF to 108.95 XAF for adopters compared to non-adopters. ATT results also demonstrated that farmers who adopted MDS had higher yields 679.04Kg/ha compared to those who did not adopt the MDS technology which resulted in higher household incomes, and decreased risk of high levels of poverty. Although the magnitude of the estimated effects varied between the three econometric models, the qualitative results were consistent and like the descriptive statistics. Hence, we concluded from our study that, the adoption of MDS by farm producers led to substantial gains in crop quality, and household incomes. Therefore, stimulating agricultural growth depends largely on policies that promote technology adoption at the farm level.


Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 902
Author(s):  
Talardia Gbangou ◽  
Rebecca Sarku ◽  
Erik Van Slobbe ◽  
Fulco Ludwig ◽  
Gordana Kranjac-Berisavljevic ◽  
...  

Many West African farmers are struggling to cope with changing weather and climatic conditions. This situation limits farmers’ ability to make optimal decisions for food and income security. Developing more useful and accessible weather and climate information services (WCIS) can help small-scale farmers improve their adaptive capacity. The literature suggests that such WCIS can be achieved if forecast information is produced jointly by farmers and scientists. To test this hypothesis and derive design requirements for effective WCIS, we evaluated the outcomes of an experimental coproduction of weather forecasts in Ada, Ghana. The experiment involved a user-driven design and testing of information and communications technology (ICT)-based digital (smartphones and apps) and rainfall monitoring tools by 22 farmers. They collected data and received weather forecasts during the 2018/2019 study period. The results showed a positive evaluation of the intervention, expressed by the level of engagement, the increase in usability of the tools and understanding of forecast uncertainty, outreach capacity with other farmers, and improved daily farming decisions. The success of the intervention was attributed to the iterative design process, as well as the training, monitoring, and technical support provided. We conclude that the application of modern technology in a coproduction process with targeted training and monitoring can improve smallholder farmers’ access to and use of weather and climate forecast information.


2013 ◽  
Vol 307 ◽  
pp. 437-442
Author(s):  
Josef Hynek ◽  
Václav Janeček

This paper presents selected results of postal survey focused on advanced manufacturing technology adoption and utilization that was carried out in the Czech Republic two years ago. We have narrowed our focus on motivation of managers of manufacturing companies to invest in modern technology here. We believe that the most important motives are strongly linked to potential benefits that are associated with particular technology and that is why we have studied various benefits of advanced manufacturing technology and we put it into context of the problems the managers have to face nowadays. Our results show that from this perspective there are many good reasons to invest in modern technology.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Daniel M. Wambua ◽  
Bernard M. Gichimu ◽  
Samuel N. Ndirangu

Despite the increase in area under coffee in Kenya in the last decade, productivity has been on the decline. Numerous production technologies have been developed through on-station research but there has been limited on-farm research to assess the impact of these technologies at the farm level. On the other hand, smallholder farmers are endowed differently and this would positively or negatively affect the adoption of recommended technologies and hence coffee productivity. This study was carried out to evaluate the effects of socioeconomic factors and technology adoption on smallholder coffee productivity at the farm level. The study employed stratified random sampling where 376 farmers were randomly sampled from six cooperative societies which had been preselected using probability proportional to the size sampling technique. The effects of socioeconomic factors and technology adoption on coffee productivity were analyzed using the stochastic Cobb-Douglas production function. The study revealed that off-farm income, access to credit, type of land tenure, and land size had significant positive effects on coffee productivity. Therefore, coffee farmers should be encouraged to diversify their income sources and to embrace credit financing, as the government reviews land use policies to avail adequate agricultural land. The study further revealed that the adoption of recommended application rates of manure, fungicides, and pesticides had significant positive effects on coffee productivity. The adoption of these technologies should therefore be enhanced among small-scale farmers to improve coffee productivity at the farm level.


Author(s):  
Ojo Olusayo ◽  
Ogunniyi Adebayo ◽  
Salman K. Kayode ◽  
Kehinde Olagunju ◽  
Iwinlade Ayodeji ◽  
...  

Existing literature affirms the importance of agricultural technology adoption on productivity, income and livelihood outcomes. Evidences subsist on the adoption of improved cassava varieties (ICVs) in Nigeria but little is known about its impact among the farmers. We used data from a survey conducted by International Institute of Tropical Agriculture (IITA) to explore this research gap.  Propensity Score Matching and Heckman’s two-stage model were the analytical tools.  Given an estimated poverty line of (₦21717.53); 52.0% of the farmers were poor.  We found that 75.6% of the respondents are adopters of ICVs. Primary occupation of household head and total non-production asset of farmers were key determinants for adoption.  Adoption of improved cassava variety has positive effect on farmers’ productivity and poverty reduction. The Average Treatment Effect on the Treated (ATT) for productivity increased by 70 percent among ICVs farmers. Income was also higher among the adopters than the non- adopters by ₦43463.77. In the same vein, the income of the adopters increased by 17%. Furthermore, adopters of ICVs have the probability of reducing poverty headcount by 20%. The empirical results suggest that improved agricultural innovation adoption can play a key role in strengthening and impacting agricultural productivity of smallholder farmers for increased income generation and food security.


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