A5025176073- Climate Change and Health Impacts
- Global Health Care Issues
- Climate change impacts on agriculture
- Climate Change Policy and Economics
- Agricultural risk and resilience
- COVID-19 impact on air quality
- Insurance, Mortality, Demography, Risk Management
- Remote-Sensing Image Classification
- Energy, Environment, and Transportation Policies
- Air Quality and Health Impacts
- COVID-19 Pandemic Impacts
- COVID-19 epidemiological studies
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and LiDAR Applications
- Climate variability and models
- Advanced Algorithms and Applications
- Climate Change, Adaptation, Migration
- Global Energy Security and Policy
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Image Fusion Techniques
- Impact of Light on Environment and Health
- Employment and Welfare Studies
- Energy, Environment, Economic Growth
- Satellite Image Processing and Photogrammetry
- Agricultural Innovations and Practices
University of California, Santa Barbara
2020-2024
National Bureau of Economic Research
2021-2024
University of California, Berkeley
2016-2024
University of Chicago
2018-2022
Global Policy Institute
2016-2017
Agricultural & Applied Economics Association
2016
Significance Suicide is a stark indicator of human hardship, yet the causes these deaths remain understudied, particularly in developing countries. This analysis India, where one fifth world’s suicides occur, demonstrates that climate, temperature, has strong influence over growing suicide epidemic. With 47 y records and climate data, I show high temperatures increase rates, but only during India’s season, when heat also reduces crop yields. My results are consistent with widely cited...
Abstract Using 40 countries’ subnational data, we estimate age-specific mortality-temperature relationships and extrapolate them to countries without data today into a future with climate change. We uncover U-shaped relationship where extre6me cold hot temperatures increase mortality rates, especially for the elderly. Critically, this is flattened by higher incomes adaptation local climate. revealed-preference approach recover unobserved costs, that mean global in risk due change, accounting...
Significance There is interest in whether COVID-19 cases respond to environmental conditions. If an effect present, seasonal changes local conditions could alter the global spatial pattern of and inform public health responses. Using a comprehensive dataset daily conditions, we find that increased ultraviolet (UV) radiation lowers cumulative growth rate over subsequent 2.5 wk. Although statistically significant, implied influence UV seasonality modest relative social distancing policies....
Since its release in 2010, the United States government's Social Cost of Carbon (SCC) has played a central role climate policy both domestically and internationally. However, rapid progress science economics over last decade mean that it is no longer based on frontier understanding. Specifically, extensive new research about climate, economy, their relationship altered understanding magnitudes projected physical economic impacts change, as well heterogeneity across space time. This paper...
Combining satellite imagery with machine learning (SIML) has the potential to address global challenges by remotely estimating socioeconomic and environmental conditions in data-poor regions, yet resource requirements of SIML limit its accessibility use. We show that a single encoding can generalize across diverse prediction tasks (e.g., forest cover, house price, road length). Our method achieves accuracy competitive deep neural networks at orders magnitude lower computational cost, scales...
Climate change threatens global food systems, but the extent to which adaptation will reduce losses remains unknown. Here, we empirically estimate net impact of producer adaptations around world using longitudinal data on six staple crops spanning 12,658 sub-national units, capturing two-thirds crop calories. We project that and income growth nearly halve at end-of-century, substantial residual remain for all staples except rice. Global damages are dominated by modern-day breadbaskets...
Efficiently managing agricultural irrigation is vital for food security today and into the future under climate change. Yet, evaluating agriculture's hydrological impacts strategies to reduce them remains challenging due a lack of field-scale data on crop water consumption. Here, we develop method fill this gap using remote sensing machine learning, leverage it assess saving in California's Central Valley. We find that switching lower intensity crops can consumption by up 93%, but requires...
Since its release in 2010, the US government's social cost of carbon (SCC) has played a central role climate policy both domestically and internationally. However, rapid progress science economics over past decade means that original SCC estimate is no longer based on frontier scientific knowledge. Specifically, extensive new research about climate, economy, their relationship altered our understanding magnitudes projected physical economic impacts change, as well heterogeneity across space...
The quantity of water within Earth and its atmosphere is fixed over time, but available for human consumption evolves dynamically. We use globally comprehensive geospatial data to establish stylized facts about recent changes in global resources potential implications welfare. show that the net change volume on arable lands—which account 90 percent consumption—is almost exactly zero. Rapid loss concentrated regions with large populations, low existing resources, agronomic potential....
Abstract Nearly every country is now combating the 2019 novel coronavirus (COVID-19). It has been hypothesized that if COVID-19 exhibits seasonality, changing temperatures in coming months will shift transmission patterns around world. Such projections, however, require an estimate of relationship between and temperature at a global scale, one isolates role from confounding factors, such as public health capacity. This paper provides first plausibly causal estimates local using sample...
Using 40 countries' subnational data, we estimate age-specific mortality-temperature relationships and extrapolate them to countries without data today into a future with climate change. We uncover U-shaped relationship where extreme cold hot temperatures increase mortality rates, especially for the elderly. Critically, this is flattened by both higher incomes adaptation local climate. revealed preference approach recover unobserved costs, that mean global in risk due change, accounting...
Agriculture in both the developing and developed country context is highly sensitive to weather shocks. The intensity of these shocks likely increase under climate change, leading an ongoing debate regarding ability farmers insulate yields income against accelerating environmental extremes. We study crop diversity as avenue for increased resilience. Diversity agricultural systems has been suggested agroecology economics literatures a powerful means on-farm insurance, through physical...
This paper develops the first globally comprehensive and empirically grounded estimates of worker disutility due to future temperature increases caused by climate change. Harmonizing daily worker-level data from seven countries representing nearly a third world's population, we evaluate causal effect on labor supply, recovering an inverted U-shaped relationship where extreme cold hot temperatures lead supply losses for workers in weather-exposed industries. We then develop micro-founded,...
Abstract Health-related risks from climate change are growing exponentially 1 , but direct attribution of health outcomes to human influence on the remains challenging 2,3 . Here, we leverage a comprehensive dataset 50,425 population surveys 4 investigate whether human-caused has increased burden childhood malaria across sub-Saharan Africa. In historical data, find that prevalence shows robust response temperature and extreme precipitation, consistent with expectations previous empirical...
With nearly every country now combating the 2019 novel coronavirus (COVID-19), there is a growing need to understand how local environmental conditions may modify transmission. To date, quantifying seasonality of disease has been limited by scarce data and difficulty isolating climatological variables from other drivers transmission in observational studies. We combine spatially-resolved dataset confirmed COVID-19 cases, composed 3,235 regions across 173 countries, with statistical approach...
Impact attribution is an emerging transdisciplinary sub-discipline of detection and attribution, focused on the social, economic, ecological impacts climate change. Here, we provide overview common end-to-end frameworks in impact focusing examples relating to human health We propose a typology study designs based whether researchers choose focus long-term trends or specific events; they compare scenarios by estimating probabilities, only difference distributions; split change estimation into...
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 changes in morbidity and mortality. Here, we systematically review over 3,600 abstracts, identify dozen end-to-end impact attribution on human health outcomes published between 2016 2023. Based these studies, find estimates attributable mortality range from 10 271,000 deaths, depending timescale, spatial extent, hazard,...