讲座题目：Blowing Smoke: Health Impacts of Wildfire Plume Dynamics
内容摘要：Long-range transport of wildfire smoke affects air quality on a broad geographic and temporal scale. We introduce a satellite-based dataset that tracks daily smoke plume coverage for almost every location in the United States from 2006 to 2013. We show that transport of wildfire smoke generates transient but frequent variations in air pollution, especially particulate matter, for cities hundreds of miles away from the fire itself. Linking these smoke events to Medicare administrative data on the near-universe of US elderly population, we show that exposure to wildfire pollution poses a significant mortality risk for the elderly. Our findings suggest that large wildfires are often much more “killing” than government statistics indicate, which only takes into account injury-related deaths. In the aggregate, we compute that annually at least 1,300 premature deaths among the US elderly are due to downwind smoke exposure. Evaluating wildfires’ mortality damage using value of statistical life technique, we conclude that wildfires’ health costs far exceed current resources spent on firefighting.
讲座题目：The Unintended Impacts of Agricultural Fires: Human Capital in China
嘉宾简介：张鹏，2016年毕业于University of California, Santa Barbara，获得经济学博士学位，现任香港理工大学会计与金融学院助理教授，主要研究方向为环境经济学、发展经济学及应用微观计量经济学。张鹏博士的研究成果发表在Journal of Environmental Economics and Management等经济学一流期刊。目前还有多篇工作论文在American Economic Review，Review of Economics and Statistics，Journal of Public Economics 等经济学TOP期刊修改或外审。
内容摘要：The practice of burning agricultural waste is ubiquitous around the world, yet the external human capital costs from those fires have been underexplored. Using data from the National College Entrance Examination (NCEE) and agricultural fires detected by high-resolution satellites in China during 2005 to 2011, this paper investigates the impacts of fires on cognitive performance. To address the endogeneity of agricultural fires, we differentiate upwind fires from downwind fires. We find that a one-standard-deviation increase in the difference between upwind and downwind fires during the exam decreases the total exam score by 1.42 percent of a standard deviation (or 0.6 point), and further decreases the probability of getting into first-tier universities by 0.51 percent of a standard deviation.