This repository contains supporting data for Qiu et al., Environmental Science & Technology (2020) "Improving evaluation of energy policies with multiple goals: Comparing ex ante and ex post approaches".
-- Firm level data (identifying information, ownership, locations, economic variables, etc.).
-- GEOS-Chem simulations:
Data file includes annual average concentrations of PM2.5 and the component species under different scenarios at the spatial resolution of 0.5x0.667 degrees.
The spatial range: latitude: -11, 55; longitude: 70, 150.1
E.g., "exante_sens_PM_25" is the annual average PM2.5 concentration under the "exante sensitivity scenario"
Species names follow the variable names from GEOS-Chem (http://wiki.seas.harvard.edu/geos-chem/index.php/Species_in_GEOS-Chem)
-- The policy impacts on energy, emissions and mortality under different scenarios (at the provincial level):
Policy impacts are calculated as "policy case - counterfactual baseline". Therefore negative values in energy, SO2 emissions and mortality indicate reduction in energy use, emissions and mortality under policy.
For request of firm-level raw data on energy use and SO2 emissions, please contact Dr.Jing Cao (caojing@sem.tsinghua.edu.cn)
Questions related to the data containing in this repo, please contact Minghao Qiu (mhqiu@mit.edu)