Determinants of adoption of climate smart agricultural technologies among potato farmers in Kenya: Does entrepreneurial orientation play a role?

Andati, Patrick; Majiwa, Eucabeth; Ngigi, Marther W.; Mbeche, Robert; Ateka, Josiah

doi:10.1016/j.stae.2022.100017

Cited by 42 publications

(28 citation statements)

References 41 publications

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“…Suppose primitive variables are represented by u 1 , u 2 , • • • , u m (mean value is 0, standard deviation is 1), factors x 1 , x 2 , • • • , x n are represented by linear combination. Simplify and reduce the dimension of original variables [74]. The model is as follows:…”

Section: Principal Component Analysismentioning

confidence: 99%

Why “Say One Thing and Do Another” a Study on the Contradiction between Farmers’ Intention and Behavior of Garbage Classification

et al. 2022

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How to protect the ecological environment is an important international issue for achieving the sustainable development goals. Using survey data of 2628 farmers in 52 administrative villages in 13 prefecture-level cities of the China Land Economic Survey in 2020, probit and multinomial logistic regression models were used to explore the influence of social capital on farmers’ willingness, behavior and the transformation between willingness and behavior. The results show that: (1) The consistency between farmers’ willingness and behavior is low; 90.25% of farmers had the willingness to separate waste, but only 48.49% of farmers had actually classified waste, and only 48.22% of farmers had transformed willingness into behavior. (2) Among the three dimensions of social capital, social network, social norm and social trust, all had positive and significant effects on farmers’ willingness and behavior to separate waste. (3) Social network and social norm had a positive and significant impact on the transformation of farmers’ willingness to separate waste into behavior, but social trust was not significant. The research results confirm that the contradiction between farmers’ intention and behavior of waste separation were generally inconsistent in rural areas. At the same time, the results showed that social capital can promote farmers’ willingness and behavior of waste separation and the transformation from a willingness to behavior, which can provide decision-making reference for how to improve farmers’ high willingness and behavior.

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Section: Principal Component Analysismentioning

confidence: 99%

Why “Say One Thing and Do Another” a Study on the Contradiction between Farmers’ Intention and Behavior of Garbage Classification

et al. 2022

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“…A psychoanalytic approach was used to investigate the entrepreneurial process of how individuals form ideas for new venture creation [54]. A study of the role of the entrepreneurial orientation of Kenyan famers as reflected in their innovativeness, proactiveness, and risk-taking was also undertaken [55]. These studies focused on the attitudes of individuals (i.e., entrepreneurs) [54,55] or aspects of the business models they use [52,53].…”

Section: Discussionmentioning

confidence: 99%

“…A study of the role of the entrepreneurial orientation of Kenyan famers as reflected in their innovativeness, proactiveness, and risk-taking was also undertaken [55]. These studies focused on the attitudes of individuals (i.e., entrepreneurs) [54,55] or aspects of the business models they use [52,53]. In contrast, this contribution has focused on the physical manifestation of entrepreneurship, i.e., enterprises linked to different entrepreneurial types.…”

Section: Discussionmentioning

confidence: 99%

Temporal and Geographic Stress Testing of Entrepreneurial Proportionalities in United States Counties

Toerien

2022

World

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Urbanization is one of man’s greatest challenges. Its handling requires a better understanding of orderliness in the demographic–socioeconomic–entrepreneurial domain of human settlements. Operating business enterprises are manifestations of successful entrepreneurship, which is the characteristic of interest here. Non-linear entrepreneurial proportionalities can be detected through the use of log–log regressions (power law analyses). Such analyses revealed many entrepreneurial proportionalities in datasets of a large number of U.S. counties. This enabled the examination of the temporal and geographic sensitivities of three entrepreneurial types: total entrepreneurship (expressed in total enterprise numbers), new entrepreneurship (the ability to successfully start enterprises of types not yet present), and existing entrepreneurship (the ability to start more enterprises of types already present). Stress testing of the entrepreneurial proportionalities during a period of economic growth (2000 to 2007) followed by a period of economic decline (the so-called Great Recession from 2007 to 2010) enabled the examination of a hypothesis that suggested that the entrepreneurial proportionalities are not temporally or geographically sensitive. The hypothesis is accepted for new and existing entrepreneurship. Total entrepreneurship is geographically sensitive, but not temporally. There is apparently no lack of entrepreneurship in human settlements. Their total entrepreneurship (expressed as total enterprise numbers) appears to be a function of their population sizes and prosperity/poverty levels.

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“…The framework presents association pathways between CIS access and CSA adoption and their determinants. It illustrates that farmers’ adoption of CSA technologies depends on access to CIS and other factors such as gender-related factors, household and farm characteristics, institutional factors like social capital, access to credit, extension services, and CSA technology-related variables (FAO and World Bank 2017 ; Chibowa et al 2020 ; Andati et al 2022 ). Further, access to CIS is not exogenous but is determined by a number of factors, several of which have also been reported to influence the uptake of CSA technologies (Ndavula and Lungahi 2018 ; Partey et al 2020 ; Djido et al 2021 ; Muita et al 2021 ).…”

Section: Methodsmentioning

confidence: 99%

“…In Kenya, the adoption rate of individual CSA technologies is low, with less than 30% of farmers adopting agroforestry, 44% integrating crops with animals, and 15% using certified seeds. However, more than 80% of smallholder farmers have adopted at least one CSA technology (Andati et al 2022 ; Musafiri et al 2022 ). Smallholder farmers’ main constraints to adopting CSA practices and technologies include biophysical, socio-economic, and software barriers like institutional, policy, willingness to invest, climate information, and gender-related inequalities (Barnard et al 2015 ; Autio et al 2021 ; Phiri et al 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Access to climate information services and climate-smart agriculture in Kenya: a gender-based analysis

Ngigi

Muange

2022

Climatic Change

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Climate change is a significant threat to agriculture-related livelihoods, and its impacts amplify prevailing gender inequalities. Climate information services (CIS) are crucial enablers in adapting to climate change and managing climate-related risks by smallholder farmers. Even though various gender groups have distinct preferences, understandings, and uses of CIS, which affect adaptation decisions differently, there is little research on gender perspectives of CIS. This study employs a novel intra-household survey of 156 married couples to evaluate the gender-differentiated effects of CIS access on the adoption of climate-smart agriculture (CSA) technologies in Kenya. The findings reveal gender differences in access to CIS, with husbands having significantly more access to early warning systems and advisory services on adaptation. In contrast, wives had better access to weather forecasts. About 38% of wives perceived that CIS meets their needs, compared to 30% of husbands. As for CIS dissemination pathways, husbands preferred extension officers, print media, television, and local leaders, whereas wives preferred radio and social groups. Recursive bivariate probit analysis shows that trust in CIS, a bundle of CIS dissemination pathways, access to credit, and membership in a mixed-gender social group, affected access to CIS for both genders. Access to early warning systems and advisory services positively affected decisions to adopt CSA by both genders. Still, access to seasonal forecasts influenced husbands’ decisions to adopt CSA but not wives. Besides, there were gender differences in how CIS affected each CSA technology based on gendered access to resources and roles and responsibilities in a household. It is necessary to disseminate CIS through gender-sensitive channels that can satisfy the needs and preferences of different gender groups to encourage the adoption of climate-smart technologies. Supplementary Information The online version contains supplementary material available at 10.1007/s10584-022-03445-5.

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Determinants of adoption of climate smart agricultural technologies among potato farmers in Kenya: Does entrepreneurial orientation play a role?

Cited by 42 publications

References 41 publications

Why “Say One Thing and Do Another” a Study on the Contradiction between Farmers’ Intention and Behavior of Garbage Classification

Why “Say One Thing and Do Another” a Study on the Contradiction between Farmers’ Intention and Behavior of Garbage Classification

Temporal and Geographic Stress Testing of Entrepreneurial Proportionalities in United States Counties

Access to climate information services and climate-smart agriculture in Kenya: a gender-based analysis

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