At the intersection of physical sciences and policy, our researchers work to find solutions for hunger, environmental degradation, emerging energy markets and more.
Research Spotlight
Economic Policy Challenges Facing California's Next Governor: Electricity Policy Reform
Because Californians are likely to want to continue to lead the energy transition, the relevant policy design question is: How can the state achieve these low-carbon energy goals in a more cost- effective manner?
Climate Change is Increasing the Risk of Extreme Autumn Wildfire Conditions Across California
The climate model analyses presented here suggest that continued climate change will further amplify the number of days with extreme fire weather by the end of this century, though a pathway consistent with the UN Paris commitments would substantially curb that increase.
Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali
Leveraging a survey experiment in Mali, this study uses plot-level sorghum yield estimates, based on farmer reporting and crop cutting, to construct and evaluate estimates from three satellite-based sensors.
National Bureau of Economic Research,
November 1, 2020
This paper studies how the COVID-19 pandemic has affected labor demand using over 100 million posted jobs on one of the largest online platforms in China. Our data reveals that, due to the effects of the pandemic both in China and abroad, the number of newly posted jobs within the first 13 weeks after the Wuhan lockdown on January 23, 2020 was about one third lower than that of the same lunar calendar weeks in 2018 and 2019. Using econometric methods, we show that, via the global supply chain, COVID-19 cases abroad and in particular pandemic-control policies by foreign governments reduced new job creations in China by 11.7%. We also find that Chinese firms most exposed to international trade outperformed other firms at the beginning of the pandemic but underperformed during recovery as the Novel Coronavirus spread throughout the world.
China Agricultural Economic Review,
October 29, 2020
Purpose: This study aims to bridge the gaps in the existing literature by studying the links between children's development and the subjective well-being of the caregivers using first-hand data collected in rural China. Design/methodology/approach: Although the broad array of literature has examined the effects of child development on the subjective well-being of caregivers, the relationship between early childhood development and caregiver subjective well-being has not been well-studied using sample families with potential developmental delay in rural China. Also, existing research has relied on maternal reports to evaluate the developmental status of children. The study used data collected from 32 townships in seven nationally designated poverty counties in the Qinling mountainous area in 2016. The authors measure child development using the social-emotional module of the Ages & Stages Questionnaire and Bayley Scales of Infant and Toddler Development–Third Edition. Findings: The authors find that child development indicators are correlated with caregiver subjective well-being. In particular, social-emotional skills are positively associated with life evaluations and positive emotion. However, we do not find any significant correlation between child development and negative emotion or depression, anxiety and stress scores. Originality/value: The value of this study is to report the indicators of child development in rural China and examines the correlation between child development and caregivers' subjective well-being.
Policy and governance are paramount to ensuring emerging technologies like AI are utilized to their fullest potential to benefit humanity while mitigating inherent risks and addressing societal concerns.
