January 2025
SSRN Electronic Journal
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January 2025
SSRN Electronic Journal
September 2024
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5 Reads
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1 Citation
Environmental Modelling & Software
August 2024
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120 Reads
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1 Citation
Despite widespread consensus that climate change poses a serious threat to global public health, very few studies have isolated the specific contributions of human-caused climate change to changes in morbidity and mortality. Here, we systematically review over 3,600 abstracts, and identify a dozen end-to-end impact attribution studies on human health outcomes published between 2016 and 2023. Based on these studies, we find that estimates of attributable mortality range from 10 to over 271,000 deaths, depending on timescale, spatial extent, climate hazard, and cause of death. We calculate that this loss of life amounts to up to US$ trillions in monetary value when using standard valuation approaches. So far, end-to-end attribution studies capture only a small fraction of the presumed global burden of climate change, with few studies addressing infectious and non-communicable diseases, and no subnational or event-specific studies focused on a location outside of Europe and the United States. However, the field of health impact attribution is poised to explode in the next decade, putting unprecedented pressure on policymakers to take action for human health.
May 2024
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2 Reads
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3 Citations
AEA Papers and Proceedings
The quantity of water within Earth and its atmosphere is fixed over time, but water available for human consumption evolves dynamically. We use globally comprehensive geospatial data to establish stylized facts about recent changes in global water resources and potential implications for human welfare. We show that the net change in water volume on arable lands—which account for 90 percent of human water consumption—is almost exactly zero. Rapid water loss is concentrated in regions with large populations, low existing water resources, and low agronomic potential. Incorporating trade data shows that water-scarce regions are net importers of water-intensive goods.
March 2024
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171 Reads
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12 Citations
Efficiently managing agricultural irrigation is vital for food security today and into the future under climate change. Yet, evaluating agriculture’s hydrological impacts and strategies to reduce them remains challenging due to a lack of field-scale data on crop water consumption. Here, we develop a method to fill this gap using remote sensing and machine learning, and leverage it to assess water saving strategies in California’s Central Valley. We find that switching to lower water intensity crops can reduce consumption by up to 93%, but this requires adopting uncommon crop types. Northern counties have substantially lower irrigation efficiencies than southern counties, suggesting another potential source of water savings. Other practices that do not alter land cover can save up to 11% of water consumption. These results reveal diverse approaches for achieving sustainable water use, emphasizing the potential of sub-field scale crop water consumption maps to guide water management in California and beyond.
February 2024
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684 Reads
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7 Citations
Nature Sustainability
Emerging evidence suggests that air pollution may play a role in shaping suicide risk by altering brain function. However, this link is difficult to quantify and has yet to be investigated in China, where 16% of global suicides occur. Here we apply a statistical model that leverages random increases in particulate pollution (PM2.5) due to meteorological conditions to comprehensive data on suicide rates across Chinese counties. We find that a 1 s.d. (σ) increase in PM2.5 raises weekly suicide rates by ∼25%. This effect occurs without delay, consistent with neurobiological evidence that PM2.5 influences emotional regulation and impulsive–aggressive behaviour. Effects are sex and age specific; women over 65 exhibit significantly higher vulnerability. We estimate that PM2.5 reductions under China’s Air Pollution Action Plan prevented 13,000–79,000 (95% confidence interval) suicides over 2013–2017, accounting for ∼10% of this period’s observed suicide rate decline. Our findings uncover a causal link between particulate pollution and suicide, adding urgency to calls for pollution control policies across the globe.
January 2024
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73 Reads
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2 Citations
Impact attribution is an emerging transdisciplinary sub-discipline of detection and attribution, focused on the social, economic, and ecological impacts of climate change. Here, we provide an overview of common end-to-end frameworks in impact attribution, focusing on examples relating to the human health impacts of climate change. We propose a typology of study designs based on whether researchers choose to focus on long-term trends or specific events; whether they compare climate scenarios by estimating impact probabilities, or only focus on the difference in impact distributions; and whether they choose to split climate change attribution and impact estimation into separate analytical steps (and often, separate studies). We map four common study designs onto this typology, and discuss their relative strengths in terms of both inferential rigor and science communication potential. We conclude by discussing a handful of related and emerging approaches, and discuss how methodological innovations in impact attribution are continuing to advance our understanding of the climate crisis.
January 2024
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1 Read
SSRN Electronic Journal
January 2024
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74 Reads
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1 Citation
January 2024
... In the case of manufacturing, extreme heat hurts value added growth in summers. This is consistent with recent literature showing that extremely hot temperature leads to more worker absenteeism 23 and lower worker productivity in the manufacturing sector (see Rode et al. 2023). Conversely, extremely hot summer helps value-added growth in services, probably in activities that alleviate heat stress (such as indoor services or beach going). ...
January 2024
SSRN Electronic Journal
... 7 Despite the widespread use of CDL data in agriculture-climate research, CDL data has inherent errors that could potentially lead to uncertainty in land-use change calculations (Reitsma et al. 2016;Laingen 2015). Although there are limitations, the CDL data is still the primary source of land use information at the micro-level and is frequently used in the literature to influence land use policies (e.g., Boser et al. 2024;Ramsey et al. 2021;Jiang et al. 2021). We are cautious in the use of CDL data in our study region and take the following steps to minimize any potential errors that may arise from using CDL data. ...
March 2024
... This method leverages a variable known as an "instrument" that does not directly affect farmland NEP but influences human interventions. In certain scenarios, this instrumental variable can be used in a 2SLS regression to isolate the variation in regression variables unrelated to the outcome, thereby improving the unbiased estimation of the variables of interest 80 . When estimating the major human interventions -farmland NEP, we specifically used DEM (Digital Elevation Model) data as an instrumental variable. ...
February 2024
Nature Sustainability
... change on disease risk has been an increase in the global burden of mosquito-borne diseases, which exhibit a well characterized unimodal transmission-temperature relationship [117][118][119] . Climate change is also implicated as a contributing factor in the rapid range expansion of the mosquito vectors of malaria and dengue fever 120,121 and similar effects on ticks are also suspected, but less clearly established 122,123 . ...
Reference:
Pathogens and planetary change
July 2023
... cloud cover, satellite angle). Proctor et al. [2023] suggest a multiple imputation approach that may be sensitive to functional form specifications. Egami et al. [2023] address an analagous problem in the NLP realm, developing a method similar to Proctor et al. [2023] for using gold-standard labeled data to adjust labels provided by an LLM. ...
January 2023
SSRN Electronic Journal
... This approach is thus able to capture often hard-to-model emergent climate risks and inform more tailored approaches to building resilience. robust causal identification based on isolation of system response to the unpredictable component of weather versus more predictable components like cross-sectional averages (23) and longrun trends (8,24). An overarching methodological thrust has thus been toward highly localized estimates based on shocks that are statistically well identified in terms of past exposure but may only capture a small component of projected changes in future climate. ...
January 2022
SSRN Electronic Journal
... The potential biases and errors in such an approach often do not appear to be sufficiently clarified when used for policy-related work. One way forward involves the use of observational data such as labour force surveys, time use surveys and firm-level data on labour allocation and outputs to estimate sub-national-specific, country-specific or region-specific response functions, and using these to compute projections and reduce uncertainty 5,10,11,20,21,26,30,34,38,150 . Definitions and differentiation between labour capacity and productivity need to be harmonized to improve the estimates and comparability of results. ...
Reference:
Heat stress and the labour force
January 2022
SSRN Electronic Journal
... However, these studies focus on industrialized countries (as do IAMs) where people's livelihoods are less dependent on the weather. There is now a rich evidence base showing that the burden of global warming is unequally distributed, where the poor are less well-equipped to cope with harmful weather events rendering them more vulnerable to temperature changes [47][48][49]. ...
July 2022
Review of Environmental Economics and Policy
... The study context, Uganda, has a tropical climate and experiences moderate temperature variations within a year; however, data from the EM-DAT shows that it experienced 15 floods and five droughts between 1990 and 2010. Moreover, research on other outcomes has shown that data from wealthier countries tend to underestimate climate impacts on poorer regions (Carleton et al., 2022). ...
April 2022
Quarterly Journal of Economics
... Heatwave is one of the most common and influential meteorological hazards that can affect human health, agriculture, workplace productivity, wildfire frequency and public infrastructure (Perkins & Lewis, 2020;Rode et al., 2021). Heatwaves have become more frequent and more intense across most lands since the 1950s, including Asia, Europe and Australasia (IPCC, 2021), especially in the 21st century, such as the extreme heatwave events in Europe in 2003(Beniston, 2004Dong et al., 2016;Kew et al., 2019;Schar & Jendritzky, 2004), the severe heatwave event in Australia during 2009 (Pezza et al., 2012), the disastrous heatwave event in Russia in 2010 (Dole et al., 2011;Russo et al., 2014;Trenberth & Fasullo, 2012), the record-breaking hot summer in 2015 over Hawaiian Islands (Zhu & Li, 2017), the extraordinary heatwave event in North America in 2021 (Dong et al., 2023;Qian et al., 2022;Zhang et al., 2023), and the 2022 Extreme Heatwave in Southern China (Gong et al., 2024). ...
December 2021
Nature