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In this article we use actor-network theory to advance understandings of how nature-dependent “prosumers” adopt climate change solutions. Based on interviews with members from two subsistence farming communities in Colombia, we illustrate how knowledge about climate change and climate change solutions flows across intervention and response networks, formed by human and nonhuman actors, in a dialectical way—sometimes supporting and other times resulting in contradictions/betrayals that limit prosumers’ adoption of sustainable practices. These findings contribute to theories about the diffusion of innovations related to climate change, capturing how knowledge translations processes involves bureaucratic and grassroots knowledge from intervention networks that interacts with reflected knowledge from response networks. It also highlights the key role of nonhuman actors. Our findings offer insights for practitioners by illuminating multiple sources of knowledge and how their interaction can result in supportive versus detracting conditions that can affect whether consumers adopt climate change solutions.

•We examine the effects of temperature on self-reported general health and wellbeing.•We use 19 waves of panel data from Australia.•Higher temperatures have significant negative effects on health.•We observe a threshold effect.•There is no evidence on the role of air conditioning in moderating the relationship•We find no evidence in support of sleep quality as a mechanism.

We review the empirical evidence on the impact of microcredit on poverty in Bangladesh. Drawing on evidence from eight empirical studies with 221 estimates, we examine the impact of microcredit on three proxies of poverty – income, assets, and consumption/expenditure. After addressing issues of publication selection bias, we find that the effect of microcredit on assets and income is statistically not significant. Evidence shows a positive but weak effect of microcredit on consumption/expenditure. Meta-regression analysis reveals that sources of variations in the existing literature such as study design, data characteristics and empirical methodology can explain the differences in reported estimates.