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首先,从行政力、市场力、外向力和内源力四个维度构建了创新驱动力指标体系;其次,应用多级模糊综合评价模型,对中国大陆31个省(自治区、直辖市,不舍港、澳、台,下同)的创新驱动力进行了横向比较分析;最后,根据创新驱动力指数、行政力指数、市场力指数、外向力指数、内源力指数进行排名,并采用空间计量方法对评价结果进行空间相关性分析。从总体看,创新驱动力指数、行政力指数、市场力指数、外向力指数、内源力指数在中国大陆各省(直辖市、自治区)之间整体上具有显著的空间正自相关性,均表现出空间依赖性和空间集聚现象。从局部看,大多数省份位于高—高象限、低—低象限,表现出显著的空间正相关性;少数省份位于高—低象限、低—高象限,表现出显著的空间负相关性。
Firstly, the index system of innovation driving force is constructed from the four dimensions of administrative power, market power, outward force and endogenous force. Secondly, the multi-level fuzzy comprehensive evaluation model is used to evaluate the innovation driving force in 31 provinces (autonomous regions, municipalities directly under the Central Government, , Australia, Taiwan and the same below). Finally, according to the indexes of innovation driving force, administrative force index, market power index, outward force index and endogenous index, and using the spatial measurement method Spatial correlation analysis of evaluation results. Overall, the innovation driving force index, the administrative index, the market index, the outward index and the endogenous index have significant spatial self-correlation as a whole in all the provinces (municipalities and autonomous regions) in mainland China, Spatial dependence and spatial agglomeration. Locally, most provinces show high-quadrant, low-low quadrant, showing significant spatial positive correlation; a few provinces are located in high-low quadrant, low-high quadrant, showing significant spatial negative correlation.