首页> 外文会议>International annual conference of the American Society for Engineering Management >A STUDY ON THE SPATIAL CONVERGENCE ANALYSIS OF REGIONAL ST INPUT-OUTPUT EFFICIENCY IN CHINA BASED ON DEA-GIS
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A STUDY ON THE SPATIAL CONVERGENCE ANALYSIS OF REGIONAL ST INPUT-OUTPUT EFFICIENCY IN CHINA BASED ON DEA-GIS

机译:基于DEA-GIS的中国区域科技投入效率的空间收敛分析研究

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For the incompletely random problem: the spatial distribution of regional S&T input and output efficiency in China, a new evaluation method based on DEA-GIS is proposed. This method makes the index of S&T quantified and homogeneity, and it can also qualitatively diagnose the space layout differences and dynamic imbalance of the relative efficiency of regional S&T input and output. Firstly, the traditional DEA method is used to calculate the relative efficiency and analyze effectiveness of regional S&T input and output from 2009 to 2012. Then, the Moran's I index is used to analyze the global relevance of the regional S&T input and output efficiency. Finally, Moran scatter plot and LISA cluster map are used to analyze the local relevance of regional S&T input and output efficiency, and the spatial agglomeration and abnormality of the efficiency are discussed. The new evaluation method provides the basis for reasonable allocation of the investment in S&T resources.
机译:对于“不完全随机问题”:提出了一种基于DEA-GIS的地区S&T投入和输出效率的空间分布。该方法使S&T的指标量化和均匀性,并且它还可以定性地诊断区域S&T输入和输出相对效率的空间布局差异和动态不平衡。首先,传统的DEA方法用于计算2009年至2012年区域S&T投入和产量的相对效率和分析效率。然后,莫兰的I指数用于分析区域S&T输入和产出效率的全球相关性。最后,Moran散点图和LISA集群地图用于分析区域S&T输入和输出效率的局部相关性,并讨论了效率的空间聚集和异常。新的评估方法为合理分配了科技资源的合理分配提供了依据。

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