Development of an assessment tool for the subnational level analysis of pollution-health effects in China


Grant Data
Project Title
Development of an assessment tool for the subnational level analysis of pollution-health effects in China
Principal Investigator
Dr Nam, Kyung-min   (Principal investigator)
Duration
30
Start Date
2014-10-15
Completion Date
2017-04-14
Amount
120000
Conference Title
Presentation Title
Keywords
Air Pollution, Health Effects, China, Computable General Equilibrium, CREM-HE
Discipline
Environmental,Urban Studies and Planning
Panel
Humanities
Sponsor
Block Grant Earmarked for Research (104)
HKU Project Code
201409159018
Grant Type
Seed Fund for Basic Research
Funding Year
2014/2015
Status
On-going
Objectives
The primary objectives of this study are twofold. One is to develop an integrated assessment tool that is able to reflect China’s reality to a sufficient degree and that is applicable to detailed subnational level analysis. At a very high level, our method presents a substantial improvement over conventional point-estimation approaches, which ignore cumulative dimensions of pollution-health effects. But even when compared with other dynamic assessment tools, CREM-HE is superior, given its capability of provincial level analysis. CREM-HE is built on a comprehensive set of provincial economic and energy data (e.g., input-output tables, sectoral energy demand, emissions inventories) and incorporates key parameters for health effects analysis which are estimated directly from China’s observed or surveyed data (e.g., concentration-response functions, health endpoint valuation tables). The second objective is to provide Chinese policy makers with a more realistic picture of air pollution in China, based on the application of CREM-HE. Health effects associated with air pollution vary depending on certain conditions that each locality confronts, such as air quality, population structure, income levels, and production technology. Also, a large fraction of the effects remain local, and thus abating the effects would require effective local actions that reflect cross-regional variations in terms of the magnitude of the health effects and other local conditions. Attention to subnational level details may be even more necessary when exploring health effects in China, given the substantial cross-provincial variations within the country. In this sense, analysis results based on CREM-HE can help China’s central and local policy makers draft more realistic and feasible pollution-abatement policy goals and strategies.