Climate change and climate variability affect weather patterns and cause shifts in seasons with serious repercussions such as declining food production and productivity for communities and households in Kenya. To mitigate the negative impacts of climate change and variability, farming households have been encouraged to adopt different strategies such as new crop varieties, crop and livestock diversification, and water-harvesting technologies.

The nexus between climate change, agriculture, and poverty has become a major topic of concern, especially for dry regions, which represent a large share of the world’s population and ecosystems vulnerable to climate change. In spite of this, to date, few studies have examined the impacts of climate change on agriculture and the adaptation strategies of vulnerable farmers from emerging semi-arid regions with dualist agriculture, in which subsistence farms coexist with commercial farms.

This paper examines the effects of extreme temperatures on mortality rates, using random year-to-year variation in temperature based on county-level panel data from China. The analysis finds a robust, U-shaped relationship between temperature and mortality rates, indicating that extremely cold or hot temperatures lead to excess deaths. The heat-related (cold-related) effect is 3.5 times (3.2 times) as large as previous findings that used U.S. data, and it is especially large for the elderly population, mainly due to excess deaths caused by cardiovascular diseases.

Farmers may adapt to climate change by substituting away from the crops most severely affected. In this paper we estimate the substitution caused by a moderate change in climate in the US Midwest. We pair a 10-year panel of satellite-based crop coverage with spatially explicit soil data and a fine-scale weather data set. Combining a proportion type model with local regressions, we simultaneously address the econometric issues of proportion dependent variables and spatial correlation of unobserved factors.

We pair a firm-level panel of annual industrial output with a fine-scale daily weather data set, to estimate the responses of industrial output to temperature changes in China. We have four primary findings. First, industrial output is nonlinear in temperature changes. With seasonal average temperatures as temperature variables, output responds positively to higher spring temperatures and negatively to elevated summer temperatures. With temperature bins as temperature variables, output increases linearly with temperature up to 21–24 °C, and then declines sharply at higher temperatures.

Why do many smallholder farmers fail to adopt what appear to be relatively simple agronomic
or management practices which can help them cope with climate-induced stressors?
Using household and plot level data collected in 2011, we implement a
multivariate probit model to assess the determinants of farmer adaptation behavior to climatic
risks and the relative contribution of information, credit and education on the probability
of adopting specific practices in response to adverse changes in weather patterns.

This research investigates farmers’ cognitive perceptions of risk and the behavioral intentions to undertake farm-level risk-reduction measures. It has been observed that people who are susceptible to natural hazards often fail to act, or do very little, to protect their assets or lives.

 In Ethiopia, climate change and associated risks are expected to have serious consequences for agriculture and food security. This in turn will seriously impact on the welfare of the people, particularly the rural farmers whose main livelihood depends on rain-fed agriculture. The level of impacts will mainly depend on the awareness and the level of adaptation in response to the changing climate.

Abstract: In this paper, we acknowledge that the mitigation of and adaptation to climate change have differential fiscal impacts. Whereas mitigation typically raises fiscal revenues, adaptation is costly to the taxpayer and to a greater extent the more distortionary the tax system is. In an OLG model with majority voting, we analyze how the choices of mitigation and adaptation are distorted under a lump-sum and a distortionary income tax regime.

Climate change impacts threaten the actual and future achievements to provide safe water in many parts of the world. Drought events are expected to be more intense and prolonged in different areas of Latin American and the Caribbean (LAC), with significant impacts in the volume, timing, and quality of water provided by water suppliers (Kundzewicz & Döll, 2008).