领导个人特征、地方腐败与雾霾变化——基于省级面板数据的惩罚固定分位数回归

Leaders’ Personal Characteristics,Local Corruption and Haze Changes——The Penalty Fixed Quantile Regression Based on Provincial Panel Data

通过分析地方领导年龄、受教育程度、薪资水平、任期稳定性及腐败对雾霾变化的影响机理，结合惩罚固定分位数回归发现：在雾霾处于分位数50％水平，腐败影响最为显著；官员年龄越大越利于控制雾霾，而提高腐败助长雾霾发生；提高受教育程度和薪资水平都利于减小腐败，促进雾霾治理；任期稳定性利于雾霾治理，但提高腐败效应则不利于雾霾控制；中央调任官员拥有更优秀雾霾治理成绩，本省就任官员腐败最为显著，外省就职官员不能降低腐败对雾霾的不利影响；采用AQI指标替换发现，近两年来治污腐败情况加剧。

This paper studies mechanism of local leadership age, education, salary level, term stability and corruption on haze. Combined with PFE to empirically test, results show that at 50% quantile level of haze, the impact of corruption is the most significant. The older the officials are, the more significant the haze governance is. Improving education and salary can reduce corruption and promote haze governance. Term stability on haze governance is positive, and indirect corruption effect is negative. Officials transferred by the central government has better haze governance achievements, the local officials took the most prominent effect of corruption. The officials from other provinces did not reduce corruption on the haze. After replacing AQI index, increasing concern on haze caused more serious corruption.