Business

Meteorology

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Propensity score matching

Mathematics

Greenhouse gas

Biology

CITES

Emissions trading

Gene

Statistics

Econometrics

China

Economics

Geography

Natural resource economics

Chemistry

Ecology

Difference in differences

Agricultural economics

Fishery

Air pollution

Environmental science

Biochemistry

Robustness (evolution)

Environmental Science & Technology

China today has an urgent need to develop low-carbon policies that also address local air pollution. This study uses a difference-in-differences model to estimate the extent to which China's Emissions Trading Scheme (ETS), which directly addresses CO2 emissions, has also generated cobenefits by reducing PM2.5. Using monthly PM2.5 concentration and weather data for 297 Chinese cities from January 2005 to December 2017, we find that (1) China's ETS has reduced PM2.5 concentrations by 4.8%, and this reduction effect is strongest in summer. The results are confirmed by robustness tests including propensity score matching, mahalanobis distance matching, two placebo tests, and controlling atmospheric policies. (2) The ETS pilots have positive spillovers on neighboring nonpilot cities within 300 km of the pilot cites, especially for those downwind neighboring nonpilot cities, and the ETS's cobenefits are primarily a result of firms adopting abatement activities and adjusting industrial structure. (3) The cobenefits of China's ETS pilots are greater in regions with larger carbon trading volume and higher carbon trading price. (4) The reduction in PM2.5 concentration caused by China's ETS may have avoided 23,363 deaths and saved $41.38 billion annually in GDP.

Has Carbon Emissions Trading Reduced PM<sub>2.5</sub> in China?

Has Carbon Emissions Trading Reduced PM2.5 in China?

Has Carbon Emissions Trading Reduced PM_2.5 in China?