Factors influencing smallholder farmers' behavioural intention towards adaptation to climate change in transitional climatic zones: A case study of Hwedza District in Zimbabwe

Zamasiya, Byron; Nyikahadzoi, Kefasi; Mukamuri, Billy B.

doi:10.1016/j.jenvman.2017.04.073

Cited by 117 publications

(81 citation statements)

References 21 publications

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“…This is consistent with that by [13] [21] [22] and [23] that gender of household head did not significantly affect technology adoption. Yet the findings contradict those of [24] [25] [26] and [27], who found gender to significantly influence technology adoption [28].…”

Section: Gendercontrasting

confidence: 96%

“…Nevertheless, age significantly influences realization of an increasing trend in income from milk sales, with older farmers more likely to realize this trend by a factor of 1.04. These findings could be explained by the fact that with age comes the much needed experience [32], and would point to the fact that such older farmers adopt the practice of establishing own fodder and rearing non-Friesian breeds and their crosses out of exposure to the shock associated with droughts and the resultant feed shortages [27]. Such farmers also know how to adjust milk prices over time to ensure they remain in production, hence; experience increasing trends in income from milk sales.…”

Section: Agementioning

confidence: 99%

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Effect of Socio-Demographic Characteristics on Kenyan Smallholder Dairy Farmers’ Adaptive Strategies to Climate Change Effects

Odhiambo¹,

Wasike²,

Ogindo³

2019

ACS

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Climate change (CC) impedes smallholder dairy industry in Kenya. Consequently, farmers' adaptation to CC effects would greatly determine their resilience, profitability, and sustainable contribution to the economy. Socio-demography among other factors, determine smallholder farmers' adaptive strategies to CC effects. This study sought to understand how smallholder dairy farmers in South Western Kenya adapt to climate changes and determine the relationship between famers' adaptive strategies and their socio-demographics of sex, age, marital status, highest educational level, household size, and experience in dairying. Concurrent Fixed Mixed Methods were used to collect primary and secondary data. Reports and papers were reviewed for temperature and precipitation data, dairy population, production trends, and farmers' socio-demographics. A survey questionnaire was administered to 367 smallholder dairy household heads with 10 years' experience obtained through multi-stage sampling of respondents from 4 sub counties of Migori county. The data collected included the respondents' socio-demographics, climate changes and adaptability to CC effects. Key informant interviews (KIIs) were conducted with heads of government departments of Livestock Production, Cooperative Development, Meteorology, Environment and Agriculture Sector Development Support Programme (ASDSP) in Migori County. Others included the leadership of Rongo Dairy Farmers' Cooperative Society, Lichota Livestock Development Farm, and a Research Officer for Livestock Production Systems with Kenya Agriculture and Livestock Research Organization (KALRO). Focus group discussions (FGDs), on the other hand, were conducted with old men and women (aged 60 years and above), and farmer How to cite this paper: Odhiambo, C.O., Wasike, C.B. and Ogindo, H.O. (2019) Effect of Socio-Demographic Characteristics on Kenyan Smallholder Dairy Farmers' Adaptive Strategies to Climate Change Effects.Atmospheric and Climate Sciences, 9, 583-599. https://doi.These were obtained purposively based on dairying experience.Descriptive statistics (percentages) were used to describe climate change effect on smallholder dairying and farmers' adaptation. Percentages, minimum and maximum values, means, range, and standard deviations were used to describe respondents' socio-demographics. Binary logistic regression analysis was used to determine the effect of farmers' socio-demographics on their adaptive strategies to CC effects. Results indicated that individually, male farmers were more likely to adopt mixed crop and livestock farming (Odds = 3.97; p = 0.02) and experience an increasing trend in income earning from milk sales (Odds = 0.63; p = 0.04). Individually, older farmers were significantly more likely to establish own fodder (Odds = 0.96; p = 0.03), keep non-Friesians and their crosses (Odds = 0.97; p = 0.02), and experience increasing trends in income earned from milk sales (odds = 1.02; p = 0.02). Individually, household size significantly influenced establishment of own fodder (Odds =...

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Section: Gendercontrasting

confidence: 96%

Section: Agementioning

confidence: 99%

Effect of Socio-Demographic Characteristics on Kenyan Smallholder Dairy Farmers’ Adaptive Strategies to Climate Change Effects

Odhiambo¹,

Wasike²,

Ogindo³

2019

ACS

View full text Add to dashboard Cite

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“…The findings of this study on the effect of training agree with those of [59,60]. More importantly, [7] demonstrates that information provided by extension workers increases the probability of farmers deciding to adapt.…”

Section: The Role Of Social Network Market Access and Extension Sersupporting

confidence: 83%

Is Land Fragmentation Facilitating or Obstructing Adoption of Climate Adaptation Measures in Ethiopia?

et al. 2018

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Land fragmentation is high and increasing in the Gamo Highlands of southwest Ethiopia. We postulate that this substantial land fragmentation is obstructing the adoption of sustainable land management practices as climate adaptation measures. To explore this, a mixed method study was conducted with emphasis on a multivariate probit model. The results indicate that farmers adapt to climate change and variability they perceive. According to the probit model, there is no clear answer to the question whether land fragmentation facilitates or obstructs adoption of sustainable land management practices. Yet, a qualitative analysis found that farmers perceive land fragmentation as an obstacle to land improvement as adaptation strategy. Moreover, farmers invest more in land improvement on plots close to their homestead than in remote plots. However, the higher land fragmentation also promoted crop diversification, manure application and terracing. Although exogenous to farmers, we therefore suggest that land fragmentation can be deployed in climate change adaptation planning. This can be done through voluntary assembling of small neighboring plots in clusters of different microclimates to encourage investment in remote fields and to collectively optimize the benefits of fragmentation to adaptation.

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“…In East Africa, for instance, studies in Kenya, Ethiopia, Tanzania, and Uganda estimate the number of certain populations that are able to access WCS in the range of 15-82%, with lower estimates for pastoralist versus farming communities and some indication that men are more able to access climate information than women Lybbert, Barrett, McPeak, & Luseno, 2007;Ngugi, Mureithi, & Kamande, 2011;Oyekale, 2015). In Southern Africa, estimates in Malawi, Mozambique, Namibia and Zimbabwe range from 27 to 86%, with an indication that radio is the primary source by which farmers access weather and climate information (Coulibaly, Kundhlande, Tall, Kaur, & Hansen, 2015;Mudombi & Nhamo, 2014;Mulwa, Marenya, Bahadur, & Kassie, 2017;O'Brien, 2000;Zamasiya, Nyikahadzoi, & Mukamuri, 2017;Zuma-Netshiukhwi, Stigter, & Walker, 2013). Evidence also suggests that weather information is more accessible than seasonal forecasts in this region (Lazo, 2015).…”

Section: Variable Access To Informationmentioning

confidence: 99%

Evaluating agricultural weather and climate services in Africa: Evidence, methods, and a learning agenda

Vaughan¹,

Hansen²,

Roudier

et al. 2019

WIREs Climate Change

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Weather and climate services (WCS) are expected to improve the capacity of Africa's agricultural sector to manage the risks of climate variability and change. Despite this, a lack of evidence prevents a realistic analysis of whether such services are delivering on their potential. This paper reviews 66 studies that have evaluated outcomes and/or impacts of agricultural WCS in Africa, highlighting areas that have received relatively more attention as well as persistent gaps. While the evaluation of WCS outcomes is relatively straightforward, estimates of the number of people who access and use these services are uneven (covering a small number of communities in 23 of 54 African countries) and highly variable (with access estimates ranging from ~2 to 86%, depending on the service and the population). Meanwhile, 22 documents estimate the impact of WCS with respect to yields and/or income. Developed with a variety of methods, these estimates are also wide ranging and illustrate how impact is conditioned on a number of characteristics of the service, the user, and the context in which both operate. The paper uses lessons developed through this review to develop a “learning agenda,” or evidence‐building roadmap, to establish priorities that can guide work to improve the design, delivery, and impact of agricultural WCS in Africa. Priority learning areas include activities that can strengthen the evidence of access, use, and impacts of WCS, along with those that can advance the use and usability of evidence so as to improve the design and targeting of WCS services. This article is categorized under: Assessing Impacts of Climate Change > Evaluating Future Impacts of Climate Change Vulnerability and Adaptation to Climate Change > Learning from Cases and Analogies

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Factors influencing smallholder farmers' behavioural intention towards adaptation to climate change in transitional climatic zones: A case study of Hwedza District in Zimbabwe

Cited by 117 publications

References 21 publications

Effect of Socio-Demographic Characteristics on Kenyan Smallholder Dairy Farmers’ Adaptive Strategies to Climate Change Effects

Effect of Socio-Demographic Characteristics on Kenyan Smallholder Dairy Farmers’ Adaptive Strategies to Climate Change Effects

Is Land Fragmentation Facilitating or Obstructing Adoption of Climate Adaptation Measures in Ethiopia?

Evaluating agricultural weather and climate services in Africa: Evidence, methods, and a learning agenda

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