Gearing carbon trading towards environmental co-benefits in China: Measurement model and policy implications |
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| Institution: | 1. Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning, Beijing 100012, China;2. The Appraisal Center for Environment and Engineering, Ministry of Environmental Protection, Beijing 100012, China;3. State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China;4. Department of Economics & Political Economy Research Institute, University of Massachusetts, Amherst, MA 01003, USA;5. Center for Environmental Risk and Damage Assessment, Chinese Academy for Environmental Planning, Beijing 100012, China;6. Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy for Environmental Planning, Beijing 100012, China;1. Chinese Academy for Environmental Planning, Beijing 100012, China;2. China Building Materials Academy, Beijing 100024, China;3. School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;1. State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China;2. Joint Center for Global Change Studies (JCGCS), Beijing 100875, China;1. Department of Economics, University of Copenhagen, Øster Farigmagsgade 5, building 26, 1353, Copenhagen, Denmark;2. Department of Food and Resource Economics, University of Copenhagen, Rolighedsvej 23, 1958, Frederiksberg, Denmark |
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| Abstract: | Given the local effects of co-pollutant emissions, the trading of carbon dioxide emissions between facilities to meet global objectives may improve or worsen local air quality and public health. To gear carbon trading toward maximum environmental co-benefits, a quantitative model based on facility-level carbon dioxide emissions, air pollution dispersion and concentration-response functions is proposed and applied to the Beijing-Tianjin-Hebei region to quantify potential changes of local public health caused by carbon dioxide transactions. The results show that the polluters with the highest Population Health Damage Intensity (PHDI) are medium-sized facilities, because larger facilities either employ more effective pollutant control technologies or are located farther away from densely populated areas. Using this modeling framework, key facilities, sectors and regions can be identified for maximizing the environmental co-benefits from introduction of carbon market and avoiding undesirable environmental damage. |
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| Keywords: | Carbon market Air quality co-benefits Environmental health |
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