Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
The rapid increase and high concentration of urban population have resulted in deteriorating atmospheric pollution, especially the primary pollutant of Particulate Matter 2.5 (PM2.5), significantly affecting people's normal life and production activities. Because relatively few studies have focused on the Air Quality Index (AQI) and energy efficiency, this research employs the modified dynamic SBM model to analyze the energy efficiency and AQI efficiency of 31 cities in China from 2013 to 2016. We take energy consumed, employees, and government expenditure as input variables and GDP (desirable) and AQI (undesirable) as output variables and use assets as a carry-over variable indicator to assess inter-temporal efficiency from one period to the next period.