绿色创新绩效区域集聚效应与空间异质性研究

发布时间：2018-10-10 06:35

【摘要】：文章以绿色创新为视角构建非径向DEA-RAM模型,将综合污染指数和碳排放作为非期望产出引入绿色创新绩效评价体系,增强评价结果的可靠性。通过Moran’s I指数计算与散点图分析验证了空间集聚效应与异质性的存在,为分析产生这种现象的原因,引入地理加权回归(GWR)模型对2005—2014年30省份数据进行实证研究。结果表明:高-高聚集与低-低聚集的差异化空间集聚效应显著,人才聚集水平、区域开放程度、环境管制强度与政府角色的不同是造成空间异质性的重要原因。
[Abstract]:In this paper, the non-radial DEA-RAM model is constructed from the perspective of green innovation, and the comprehensive pollution index and carbon emissions are introduced into the green innovation performance evaluation system as non-expected outputs to enhance the reliability of the evaluation results. The existence of spatial agglomeration effect and heterogeneity is verified by Moran's I index calculation and scatter plot analysis. In order to analyze the causes of this phenomenon, a geographical weighted regression (GWR) model is introduced to study the data of 30 provinces from 2005 to 2014. The results show that the difference of spatial agglomeration between high-high aggregation and low-low agglomeration is significant. The level of talent aggregation, the degree of regional opening, the difference of environmental control intensity and the role of government are the important reasons for spatial heterogeneity.
【作者单位】：重庆大学经济与工商管理学院;
【基金】：国家自然科学基金面上项目(71573025) 中央高校基本科研业务费专项资金资助项目(CDJSK100201) 重庆市决策咨询与管理创新计划重点项目(cstc2013jccx B00007)
【分类号】：F124.3

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