Quantifying Loss of Benefits from Poor Governance of Climate Change Adaptation Projects: A Discrete Choice Experiment with Farmers in Kenya

Nthambi, Mary; Markova‐Nenova, Nonka; Wätzold, Frank

doi:10.1016/j.ecolecon.2020.106831

Cited by 30 publications

(11 citation statements)

References 59 publications

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“…According to Pearmain et al [82], sample sizes over 100 are able to provide a basis for modeling preference data, in DCE designs [83]. Previous studies [54,56,63,84] have used random sampling techniques to determine sample sizes that have ranged between 300 and 1200 respondents. The research team considered 400 individuals as sufficient given the budget constraints.…”

Section: Recreation and Tourismmentioning

confidence: 99%

Preferred Attributes for Sustainable Wetland Management in Mpologoma Catchment, Uganda: A Discrete Choice Experiment

Bunyangha

Muthumbi

Egeru

et al. 2022

Land

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Sustainable wetland management is a focus of many countries worldwide. These mainly use protection as a key policy directive for conservation. However, avoidance directives tend to disenfranchise local populations. Thus, such management is often resisted and rarely effective. Tailoring management strategies to user preferences allows conservation to support community livelihoods for sustainable development. This study employed a discrete choice experiment to determine the wetland management attributes preferred by residents of Mpologoma catchment as a prelude to developing a co-management system. Listed in descending order, attribute preferences were paddy farmers’ schemes, fish farming, education and research, protected wetland area, and recreation and tourism. Respondents’ characteristics influenced their choices. Older adults were more likely to support fish farming. In contrast, existing paddy farmers tended to resist such focuses and an increase in protected wetland area. Additionally, respondents with higher education were opposed to paddy farmers’ schemes, and the preference for education and research was positively influenced by respondents’ income. Respondents were willing to pay between $0.64 and $1.76 per household for each unit improvement in the preferred attribute. Our results underscore the role of DCEs in unlocking individuals’ attribute preferences, whose integration into co-management systems can be important for sustainable wetland conservation.

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Section: Recreation and Tourismmentioning

confidence: 99%

Preferred Attributes for Sustainable Wetland Management in Mpologoma Catchment, Uganda: A Discrete Choice Experiment

Bunyangha

Muthumbi

Egeru

et al. 2022

Land

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“…We fitted multinomial logit models as a first check on the choice data before estimating a series of mixed logit models for cattle, sheep and goats, and poultry. Estimates from the multinomial logit model show that preferences are the same across individuals, while those of the mixed logit models denote heterogeneity across individuals, hypothetical scenarios and alternatives (Nthambi et al 2021). For the cattle mixed logit model results (Table 3), farmers have a positive and significant marginal utility for a call to the veterinary officer and a negative insignificant marginal utility for self-treatment.…”

Section: Choice Modelling Resultsmentioning

confidence: 92%

“…We find hesitation to consult a veterinary officer for cattle vaccinated against FMD and CBPP in the previous 6 months. b,c These base levels of the effects-coded attributes are not set to zero in hybrid coding scheme rather we estimate them as the negative sum of the coefficient estimates of the other two levels (Cooper et al 2012;Nthambi et al 2021).…”

Section: Choice Modelling Resultsmentioning

confidence: 99%

Quantifying farmers’ preferences for antimicrobial use for livestock diseases in northern Tanzania

Nthambi

Lembo

Davis

et al. 2022

Q Open

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Understanding the choice behaviours of farmers around the treatment of their livestock is critical to counteracting the risks of antimicrobial resistance (AMR) emergence. Using varying disease scenarios, we measure the differences in livestock species’ treatment preferences and effects of context variables (such as grazing patterns, herd size, travel time to agrovet shops, previous disease experience, previous vaccination experience, education level and income) on the farmers’ treatment choices for infections across three production systems—agro-pastoral, pastoral and rural smallholder—in northern Tanzania, where reliance on antimicrobial treatment to support the health and productivity of livestock is high. Applying a context-dependent stated choice experiment, we surveyed 1224 respondents. Mixed logit model results show that farmers have higher preferences for professional veterinary services when treating cattle, sheep and goats, while they prefer to self-treat poultry. Antibiotics sourced from agrovet shops are the medicine of choice, independent of the health condition to treat, whether viral, bacterial or parasitic. Nearness to agrovet shops, informal education, borrowing and home storage of medicines, and commercial poultry rearing increase chances of self-treatment. Based on our findings, we propose interventions such as awareness and education campaigns aimed at addressing current practices that pose AMR risks, as well as vaccination and good livestock husbandry practices, capacity building and provision of diagnostic tools.

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“…Literature shows that farmers in the region use different strategies to manage climate risks (Call et al, 2019; Deressa et al, 2009; Di Falco et al, 2011; Nigussie et al, 2018; Nthambi et al, 2021; Ojo & Baiyegunhi, 2020; Shikuku et al, 2017; Thinda et al, 2020; Waha, 2013). However, the bulk of existing studies concentrates on how farmers adjust their decisions based on climate knowledge acquired over the long term.…”

Section: Introductionmentioning

confidence: 99%

Early growing season weather variation, expectation formation and agricultural land allocation decisions in Ethiopia

Ahmed

Tesfaye

Gassmann

2022

J Agricultural Economics

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There are pertinent reasons to be concerned about the effects of climate change on the agriculture sector. As climate predictions show warmer and more variable futures, an increasing number of studies explore the socioeconomic implications of a warmer climate, including the effects on agriculture under different scenarios (Costinot et al., 2016;Hsiang et al., 2017;Jones & Thornton, 2003;Schlenker & Roberts, 2009). Schlenker and Roberts (2009) showed, for example, that even the slowest warming scenario could reduce crop yield by up to 46%. Studies also show that climate change disproportionately hits the poorest segments of the population of

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Quantifying Loss of Benefits from Poor Governance of Climate Change Adaptation Projects: A Discrete Choice Experiment with Farmers in Kenya

Cited by 30 publications

References 59 publications

Preferred Attributes for Sustainable Wetland Management in Mpologoma Catchment, Uganda: A Discrete Choice Experiment

Preferred Attributes for Sustainable Wetland Management in Mpologoma Catchment, Uganda: A Discrete Choice Experiment

Quantifying farmers’ preferences for antimicrobial use for livestock diseases in northern Tanzania

Early growing season weather variation, expectation formation and agricultural land allocation decisions in Ethiopia

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