摘要
采用超越对数随机前沿模型测算了中国工业绿色增长效率,并通过核密度曲线考察了其动态特征。空间自相关Moran'I检验表明省际工业绿色增长效率分布不是随机的,具有空间依赖性。在此基础上,构建了空间杜宾模型实证分析了行政型、市场型、公众参与型三种环境规制对工业绿色增长效率的空间溢出效应。研究结果表明:行政型环境规制的直接效应和间接效应均显著为负;市场型的直接效应为负,间接效应为正;公众参与型的直接效应和间接效应虽然都显著为正,但是均值都较小。进而提出相关政策建议以实现环境保护和经济增长的双赢。
By using the beyond logarithmic and stochastic frontier model, this paper calculate the efficiency of inter provincial industrial green growth(PTE), then we estimates the dynamic distribution of PTE performance with the kernel density. The spatial autocorrelation of Moran's I test shows that inter provincial PTE performance distribution is not random, but has spatial dependence. On this basis, we establish the spatial Durbin model to look into the spatial spillover effects on PTE of three types of environmental regulation, which are administration regulation, market-based regulation and public participating regulation. The main results are as follows:The direct and indirect effects of administration environmental regulation are significant negative. And the direct effect of marketbased regulation is negative while its indirect effect is positive. Both the effects of direct and indirect are positive, but the mean is small. In the last, we put forward relevant policy recommendations to achieve a win-win situation of environmental protection and economic growth.
出处
《湖北经济学院学报》
2018年第1期70-77,共8页
Journal of Hubei University of Economics
基金
北京市社会科学基金项目(15JGB050)
关键词
工业绿色增长效率
环境规制
空间溢出
核密度估计
空间杜宾模型
industrial green growth efficiency
environmental regulation
spatial spillover
kernel density estimation
spatial Durbin model
