Evaluating Economic Output at Risk to Climate Change

2021 ◽  
pp. 205-217
Author(s):  
Colin Shaw ◽  
Samuel G. Evans ◽  
Joshua Turner
Keyword(s):  
Climate Change ◽  
At Risk ◽  
Economic Output

Teresa Mannion and the Emergence of Extreme Weather Culture in Ireland

2019 ◽  
Vol 49 (1) ◽  
pp. 135-150
Author(s):  
Diane Negra
Keyword(s):  
Climate Change ◽  
At Risk ◽  
Popular Culture ◽  
Extreme Weather ◽  
Cross Cultural ◽  
Viral Video ◽  
Cultural Information ◽  
Strong Winds ◽  
Risk Coverage

In this article I consider how registers of weather media carry/convey cultural information, specifically how texts about extreme weather articulate with investment in a supposed post-recession restored normality marked by the Irish government's commitment to deregulated transnational capitalism. I maintain that, in a process of cross-cultural remediation, sensationalist codes of US weather media that discursively manage awareness of systemic climate problems are just starting to infiltrate the Irish broadcasting environment. In early December 2015 RTÉ’s Teresa Mannion covered a strong gale, Storm Desmond, amidst inclement conditions in Salthill, Co Galway. Modelling the kind of ‘body at risk’ coverage consummately performed by US Weather Channel personnel, Mannion could barely speak over the lashing rain and strong winds in a dramatic broadcast that quickly became a viral video. This article analyses the fascination with Mannion's piece and its memetic, and attends to the nature of the pleasure taken in her on-camera discomfiture and the breach of gendered territory committed by Mannion at a time when national popular culture in Ireland is under increased obligation to identify and explain climate change-related extreme weather.

Pollination services at risk: Bee habitats will decrease owing to climate change in Brazil

2012 ◽  
Vol 244 ◽  
pp. 127-131 ◽  
Author(s):  
Tereza C. Giannini ◽  
André L. Acosta ◽  
Carlos A. Garófalo ◽  
Antonio M. Saraiva ◽  
Isabel Alves-dos-Santos ◽  
...  
Keyword(s):  
Climate Change ◽  
At Risk ◽  
Pollination Services

Adapt - On-farm changes in the face of climate change: NRCS Area 3

2018 ◽  
Author(s):  
Steven Ostoja ◽  
Tapan Pathak ◽  
Katherine Jarvis-Shean ◽  
Mark Battany ◽  
George Zhuang
Keyword(s):  
Climate Change ◽  
At Risk ◽  
Market Value ◽  
Adaptation Strategies ◽  
Agricultural Economy ◽  
Winter Temperatures ◽  
The Face ◽  
Projected Changes ◽  
Large Acreage ◽  
On Farm

The agricultural economy is more vulnerable to projected changes in climate in some California counties than in others. This flyer highlights on-farm adaptation strategies to mitigate some of the effects of increased winter temperatures and more frequent summer heatwaves. Projected conditions will put the most strain on heat intolerant crops and crops with high chill requirements. When crops with these characteristics also have a high market value or are grown in large acreage, counties can be at risk for economic declines. Information on this flyer identifies the most vulnerable counties in California Area 3 for some key, climate-sensitive crops.

Projecting conflict risk following the Shared Socioeconomic pathways: what role for water stress and climate?

2021 ◽  
Author(s):  
Sophie de Bruin ◽  
Jannis Hoch ◽  
Nina von Uexkull ◽  
Halvard Buhaug ◽  
Nico Wanders
Keyword(s):  
Climate Change ◽  
At Risk ◽  
Machine Learning Techniques ◽  
Mitigation Measures ◽  
Related Factors ◽  
Socioeconomic Impacts ◽  
Learning Techniques ◽  
The Future ◽  
Conflict Risk

<p>The socioeconomic impacts of changes in climate-related and hydrology-related factors are increasingly acknowledged to affect the on-set of violent conflict. Full consensus upon the general mechanisms linking these factors with conflict is, however, still limited. The absence of full understanding of the non-linearities between all components and the lack of sufficient data make it therefore hard to address violent conflict risk on the long-term. </p><p>Although it is neither desirable nor feasible to make exact predictions, projections are a viable means to provide insights into potential future conflict risks and uncertainties thereof. Hence, making different projections is a legitimate way to deal with and understand these uncertainties, since the construction of diverse scenarios delivers insights into possible realizations of the future.  </p><p>Through machine learning techniques, we (re)assess the major drivers of conflict for the current situation in Africa, which are then applied to project the regions-at-risk following different scenarios. The model shows to accurately reproduce observed historic patterns leading to a high ROC score of 0.91. We show that socio-economic factors are most dominant when projecting conflicts over the African continent. The projections show that there is an overall reduction in conflict risk as a result of increased economic welfare that offsets the adverse impacts of climate change and hydrologic variables. It must be noted, however, that these projections are based on current relations. In case the relations of drivers and conflict change in the future, the resulting regions-at-risk may change too.   By identifying the most prominent drivers, conflict risk mitigation measures can be tuned more accurately to reduce the direct and indirect consequences of climate change on the population in Africa. As new and improved data becomes available, the model can be updated for more robust projections of conflict risk in Africa under climate change.</p>

scholarly journals The methodology of quantitative assess economic output of climate change

2011 ◽  
Vol 56 (13) ◽  
pp. 1333-1335 ◽  
Author(s):  
JieMing Chou ◽  
WenJie Dong ◽  
GuoLin Feng
Keyword(s):  
Climate Change ◽  
Economic Output

scholarly journals Persistent Effect of Temperature on GDP Identified from Lower Frequency Temperature Variability

2021 ◽  
Author(s):  
Bernardo Bastien-Olvera ◽  
Frances Moore
Keyword(s):  
Climate Change ◽  
Temperature Variation ◽  
Cost Benefit ◽  
Temperature Variability ◽  
Effect Of Temperature ◽  
Economic Sectors ◽  
Human Welfare ◽  
Economic Productivity ◽  
Economic Output ◽  
Frequency Temperature

Abstract It is well established that temperature variability affects a range of outcomes relevant to human welfare, including health (Gasparrini et al., 2017) emotion and mood (Baylis et al., 2018), and productivity across a number of economic sectors (Carleton & Hsiang, 2016; Dell et al., 2014). However, a critical and still unresolved empirical question is whether temperature variation has a long-lasting effect on economic productivity and, therefore, whether damages compound over time in response to long-lived changes in temperature expected with climate change. Several studies have identified a relationship between temperature and GDP (Burke et al., 2015; Dell et al., 2012; Kalkuhl & Wenz, 2020), but empirical evidence as to the persistence of these effects is still weak. This paper presents a novel approach to isolate the persistent component of temperature effects on output using lower frequency temperature variation. Using three different datasets we find that longer temperature anomalies affect GDP growth as much or more than short-lived anomalies, implying persistent and therefore cumulative effects of climate change on economic output. The population-weighted global effect of -0.8 pp per degree is sufficient to reduce per-capita income in 2100 by 44% under RCP6, approximately an order of magnitude larger than damages currently represented in cost-benefit integrated assessment models (Diaz & Moore, 2017).

scholarly journals Climate change is a major stressor causing poor pregnancy outcomes and child development

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1222
Author(s):  
David M. Olson ◽  
Gerlinde A.S. Metz
Keyword(s):  
Climate Change ◽  
Mental Health ◽  
At Risk ◽  
Pregnancy Outcomes ◽  
Allostatic Load ◽  
Developmental Trajectories ◽  
Adverse Pregnancy Outcomes ◽  
Ecological Resilience ◽  
Adverse Pregnancy ◽  
Climate Crisis

The climate crisis is the existential threat of our times and for generations to come. This is no longer a threat but a reality affecting us, our children, and the generations that follow. Pregnant mothers, their fetuses, and their children are among those at greatest risk in every population and every jurisdiction. A timely consideration is the health of racialized groups who are particularly vulnerable owing to the confluence of several risk factors that are compounded by climate change. Included among these are Indigenous communities that are the most directly threatened by climate change. This review discusses the main health challenges faced by mothers, fathers, and their children during the climate crisis, focusing on mental health as a causal factor. Exploration of this topic includes the role of prenatal maternal and paternal stresses, allostatic load, and the effect of degradation of the environment and ecosystems on individuals. These will be examined in relation to adverse pregnancy outcomes and altered developmental trajectories of children. The climate crisis is a health threat multiplier that amplifies the health inequities of the most at-risk populations and individuals. It accelerates the increase in allostatic load of those at risk. The path of tragedy begins with an accumulating allostatic load that overwhelms both individual and socio-ecological resilience. This can lead to worse mental health including depression and anxiety and, in the case of pregnant women and their children, more adverse pregnancy outcomes and impaired developmental trajectories for their newborn children. We argue that there is an urgent need to develop new (or re-discover or re-purpose existing) tools that will predict communities and individuals who are experiencing the highest levels of climate-related hazards and intervene to reduce stress and increase resilience in pre-conceptual women and men, pregnant and post-partum women, and their young children.

Heat Waves, Climate Change, and Economic Output

2021 ◽  
Author(s):  
Steve Miller ◽  
Kenn Chua ◽  
Jay Coggins ◽  
Hamid Mohtadi
Keyword(s):  
Climate Change ◽  
Extreme Events ◽  
Climate Models ◽  
Climate Adaptation ◽  
Heat Waves ◽  
Economic Output ◽  
Hot Days ◽  
Order Of Magnitude ◽  
Empirical Approaches ◽  
Climate Damages

Abstract Climate change is likely to affect economies not only through warming, but also via an increase in prolonged extreme events like heat waves. However, the impacts of heat waves on economic output are not well captured by standard empirical approaches that ignore when hot days occur. Using a global dataset spanning 1979–2016, we show agricultural losses from past heat waves are up to an order of magnitude larger than suggested by standard approaches. Combining these estimates with a suite of climate models implies that by the end of the century, climate damages in agriculture may be 5–10 times larger than is predicted by a focus on mean temperature shifts alone. These findings have important implications for targeting and evaluating climate adaptation efforts.

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