题目：Heterogeneous Impacts of Air Pollution on Mortality in China:

Evidence from County-Level Panel Data

报告人：龚亚珍

时间：2017年5月19日15:00-16:15

地点：暨南大学中惠楼106B会议室

主办方：暨南大学经济与社会研究院

报告人简介：龚亚珍博士，中国人民大学环境学院副教授。2010年毕业于加拿大英属哥伦比亚大学（University of British Columbia），2012-2014年在联合国教科文组织下属机构IHE攻读在职博士后。2014年8月-2015年8月受国家留学基金委资助被公派到加州大学伯克利分校访问一年。2015年9月-2016年9月被聘为加州大学伯克利分校的客座研究员(Research Associate)。2016年6月至今，为韩国国家发展研究院（KDI）School的访问教授。2017年1月至今，任国际学术期刊Regional Environmental Change的编辑。她的专业方向为资源经济学，主要利用微观实证方法和实地实验经济学方法（field experiments）来研究中国农村的自然资源管理和农村发展问题。其研究领域涉及气候变化和森林碳汇、生物多样性、湿地和灌溉水资源等，所撰写的学术论文已在PNAS，Annual Review of Resource Economics， Ecological Economics， Agricultural Economics以及《自然资源学报》等国内外学术期刊上发表。2010年以来，主持过自然科学基金项目以及多个国际合作项目，同时她也是几个国家重大公益项目的重要参与人。

Abstract: Understanding the health impacts of air pollution in China has important policy implications for environmental regulation and economic development such as understanding the potential health consequences of recent national plans that aim to reduce the economic gap across different regions but encouraging manufacturing activities to be relocated from the east coast to the west. To estimate the cost of air pollution in China, many studies including some conducted by the World Health Organization and the World Bank are still largely rely on previous research based on the U.S. data. This practice may yield implausible results as China is experiencing much higher pollution concentration than that in the US (Cropper, 2003). Despite an emerging body of research on the heath impacts of air pollution in China (e.g. Ebestein et al., 2015; Lu et al., 2015; Zhou et al., 2015; Chen et al., 2012; Matus et al., 2012), much remains to be improved and learned especially with regard to the causal identification, the heterogeneity of the effects among the population, and the shape of the dose-response function. Using a county-level panel data set on mortalities from respiratory and cardiovascular diseases from 2004 to 2010 by age groups and gender, this study examines the heterogeneous impacts of PM2.5 concentration across population groups and at different levels of concentration. To establish the causal relationship, we instrument for county air quality using variations in economic growth in the top five exporting destination countries for the corresponding county. We find large heterogeneity in health impacts across age groups and the dose-response function is estimated to be nonlinear.