Haze Influencing Factors: A Data Envelopment Analysis Approach.
作者： Yi Zhou , Lianshui Li , Ruiling Sun , Zaiwu Gong , Mingguo Bai
关键词: Data envelopment analysis 、 Environmental economics 、 Haze 、 Social progress 、 Stochastic optimization 、 Consumption (economics) 、 Car ownership 、 Environmental science 、 Pollution 、 Unit (housing)
摘要: This paper investigates the meteorological factors and human activities that influence PM2.5 pollution by employing data envelopment analysis (DEA) approach to a chance constrained stochastic optimization problem. has two advantages of admitting random input output, allowing evaluation unit exceed front edge under given probability constraint. Furthermore, utilizing observation incorporated with economic social for Jiangsu Province, DEA model was solved explore relationship between elements pollution. The results are summarized following: (1) Among all five primary indexes, progress, energy use transportation most significant (2) our selected 14 secondary coal consumption, population density civil car ownership account major portion (3) Human main factor producing While some generate pollution, act as influencing on migration These findings can provide reference government formulate appropriate policies reduce emissions communities develop effective strategies eliminate
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