Adoption of climate-smart agricultural practices among smallholder farmers in Western Kenya: do socioeconomic, institutional, and biophysical factors matter?

Musafiri, Collins M.; Kiboi, Milka N.; Macharia, Joseph M.; Ng’etich, Onesmus K.; Kosgei, David; Mulianga, Betty; Okoti, Michael; Ngetich, Felix K.

doi:10.1016/j.heliyon.2021.e08677

Cited by 57 publications

(19 citation statements)

References 43 publications

(85 reference statements)

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“…Farmers who have spent more years in school may have gained skills and knowledge on the benefits of adopting irrigation technology. Our findings were in line with Jordán & Speelman (2020); Musafiri et al (2022); Mwangi and Crewett (2019); Chinasa, Alagba, Ifeyinwa, and Chukwuneke (2022), that households' heads education level is a significant determinant in adoption decisions of agricultural technologies.…”

Section: Determinants Of Adoption Of Irrigation Technologies Among Sm...supporting

confidence: 91%

“…Kenyan communities are particularly vulnerable to droughts and periods of water shortage as a result of their heavy reliance on rain-fed agriculture, which has a considerable impact on crop and livestock production (Nakawuka et al, 2018;Lilly N. Kabata, Makhoka, and Obiero, 2021). Crop failure and animal losses as a result of climate change and seasonal variability, have resulted in food insecurity in the country, posing serious concerns to society's well-being (Lilly et al, 2021;Musafiri, Kiboi, Macharia, Ng'etich, Kosgei, Mulianga, and Ngetich, 2022). As a result, interventions such as adopting irrigation technologies in arid/semi-arid areas are called for to mitigate the effects of climate change and variability.…”

Section: Introductionmentioning

confidence: 99%

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Factors influencing Adoption of Irrigation Technologies among Smallholder Farmers in Machakos County, Kenya

Muluki¹,

Rasugu²,

Njeri³

et al. 2022

jae

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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.

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Section: Determinants Of Adoption Of Irrigation Technologies Among Sm...supporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Factors influencing Adoption of Irrigation Technologies among Smallholder Farmers in Machakos County, Kenya

Muluki¹,

Rasugu²,

Njeri³

et al. 2022

jae

View full text Add to dashboard Cite

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“…The result revealed extension and education enhanced adoption of soil and water conservation practices. The positive association between extension and SWCP is consistent with the finding of Musafiri et al (2021). Extension and education are means of technology and knowledge transfer that is assumed to support the adoption of new technologies.…”

Section: Factors Affecting Adoption Of Climate Smart Agricultural Tec...supporting

confidence: 84%

“…Cultivated land size and irrigation availability positively and significantly associated with adoption of conservation tillage. Large cultivated land size (Musafiri et al, 2021) and availability of irrigation water increase the level of confidence for farmers to try conservation tillage as these could be used as assurance in case of crop failure due to use of the new technology. The negative and significant relationship between extension and adoption of conservation tillage, and use of improved seed and adoption of tillage was unexpected; however, this possibly elated to the focus that conservation tillage had got in the extension programs and technology development.…”

Section: Factors Affecting Adoption Of Climate Smart Agricultural Tec...mentioning

confidence: 99%

Is There A Synergy in Adoption of Climate Smart Agricultural Practices? Evidences from Ethiopia

Feyisa

2022

Turkish JAF Sci.Tech.

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This study assessed the intensity of adoption of climate-smart agricultural practices (CSA), identified determinants of the adoption, and examined adoption synergies and trade-offs among the practices in Ethiopia. The study used cross-sectional data collected by the Ethiopian Central Statistical Agency with the support of the World Bank in 2018/2019. The analysis was done using descriptive statistics and multivariate probit model. Widely promoted CSA technologies i.e. conservation tillage, manure, crop residues, compost, and soil and water conservation practices were considered in the study. The study found soil and water conservation practices were the most widely adopted technologies (77% of farmers) followed by manure application (56% of farmers), and residue cover (54% of farmers). Among the adopters, 43% and 13% of them used conservation tillage and applied compost on their farms respectively. Area-based intensity of adoption of soil and water conservation practices, residue cover, conservation tillage, manure, and compost were 63%, 25%, 18%, 14% and 3%, respectively. The study indicated improvements in government services such as extension, credit, market and watershed programs enhance adoption of CSA practices. Adoption of manure and compost, residue cover and compost, and residue cover and conservation tillage had a positive and significant correlation, implying that adopting one practice increases the likelihood of adoption of the other practice for the same farmer. In conclusion, the government needs to use the opportunity of complementarity effect among adoption decision of the practices and work on driving factors identified to enhance the adoption and build resilient agriculture.

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“…The study employed ordered probit analysis to test the model, which is widely used by similar studies (such as Oyetunde-Usman et al [ 67 ], Maguza-Tembo et al [ 68 ], and Pilarova et al [ 69 ]). In statistics, ordered probit is a generalization of the widely used probit analysis to the case of more than two outcomes of an ordinal dependent variable [ 70 , 71 ]; therefore, the ordered probit is the best option for the study.…”

Section: Methodsmentioning

confidence: 99%

Effects of Market Incentives and Livelihood Dependence on Farmers’ Multi-Stage Pesticide Application Behavior—A Case Study of Four Provinces in China

Ding

Sarkar

et al. 2022

IJERPH

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Improvement in pesticide application and efficiency structure has long been recognized as having great significance in reducing pollution, ensuring food safety, and promoting green agricultural development. Based on theoretical analysis, using the survey data of 766 farmers in key tea areas in Shaanxi, Sichuan, Zhejiang, and Anhui provinces in China, the study empirically analyzes the influence of market incentives and livelihood dependence on farmers’ multi-stage pesticide application behavior. More specifically, the study employed ordered probit analysis to craft its findings. The dependent variable of this study is the multi-stage pesticide application problem of farmers, and the core independent variables are market incentives and livelihood dependence, and the judgment is based on the core variable coefficients of the econometric model of farmers at each stage. The study found the following: (i) Market incentives significantly prompted some farmers to give up synthetic pesticide application and farmers tend to choose green pesticides in the type of pesticide application. (ii) Livelihood dependence meant that the proportion of tea income significantly prompts farmers to apply pesticides, and also creates a tendency for farmers to choose green and low-toxic pesticides in the type of pesticide application. The planting period tends to have a moderate impact on applying green and low-toxic pesticides. (iii) The interaction term of market incentives and the proportion of tea income has no significant impact on farmers’ multi-stage pesticide application behavior. The interaction term of market incentives and planting years has impacted negatively on whether farmers apply pesticides, and has no significant impact on farmers’ choice of pesticide application types, but makes farmers increase the amount of green and low-toxic pesticides. (iv) The education level of the household head significantly promotes farmers to choose green and low-toxic pesticides. Seemingly, the brand effect of pesticides significantly encourages farmers to choose green and low-toxic pesticides. In external support, technical training significantly encourages farmers to choose green and low-toxic pesticides. Furthermore, better infrastructure and local market conditions significantly encourage farmers to reduce the use of conventional pesticides.

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Adoption of climate-smart agricultural practices among smallholder farmers in Western Kenya: do socioeconomic, institutional, and biophysical factors matter?

Cited by 57 publications

References 43 publications

Factors influencing Adoption of Irrigation Technologies among Smallholder Farmers in Machakos County, Kenya

Factors influencing Adoption of Irrigation Technologies among Smallholder Farmers in Machakos County, Kenya

Is There A Synergy in Adoption of Climate Smart Agricultural Practices? Evidences from Ethiopia

Effects of Market Incentives and Livelihood Dependence on Farmers’ Multi-Stage Pesticide Application Behavior—A Case Study of Four Provinces in China

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