【摘要】 "十三五"以来,各级政府越来越重视空气污染等环境污染问题。利用2011年至2017年中原五个省份的面板数据,建立偏最小二乘回归(PLS)模型,从经济、能耗、交通、技术创新和政府响应五个方面分析影响空气污染的因素。实证表明:经济、能耗和交通对空气污染有正向影响,而技术创新和政府响应则具有抑制作用。模型预测精度达到0.837,预测结果较好。更多还原

【Abstract】 Since the 13 th five-year plan, governments at all levels have paid increasing attention to air pollution and other problems of environmental pollution. The partial least squares regression(PLS) was established by using panel data of five provinces in central China from 2011 to 2017. Factors affecting air pollution were analyzed from five aspects including economy, energy consumption, transportation, technological innovation and government response. The empirical results show that economy, energy consumption and transportation have positive effects on air pollution, while technological innovation and government response have inhibitory effects. The predictive accuracy of the model reaches 0.837, and the predictiove result is good.更多还原