LAUSR

Based on the data of population size, industrial development, energy consumption and technological level from 2013 in the Beijing-Tianjin-Hebei region, the fairness of PM2.5 pollution emissions were analyzed using Gini coefficient and contribution coefficient. In addition, a reduction allocation plan of PM2.5 concentration by 2020 in 13 cities was determined according to a minimized model of Gini coefficient model. The results showed that: (1) Gini coefficients of industrial development and technological level were greater than 0.4, implying that the PM2.5 pollution emissions in the region were significantly unfair from the perspective of industry and technology, especially in the aspect of technological level. (2) The spatial distribution of industrial and technological contribution coefficients presented a downward trend from Beijing and Tianjin to the periphery, and cities in Hebei Province were central to the unfairness of PM2.5 pollution emissions across the whole region. (3) The reduction values of PM2.5 concentration were between 16.7 1μg/m3 and 57.49 μg/m3, and a reduction allocation plan of PM2.5 concentration could improve the overall fairness of PM2.5 pollution emissions in the Beijing-TianjinHebei region, but the unfairness of PM2.5 pollution emissions would not change dramatically.