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本文以2006-2015年长江经济带108个城市面板数据为研究样本,采用DEA模型及Malmquist指数分析方法对长江经济带城市创新效率进行测度,再结合ESDA空间分析技术研究了创新效率的空间演化特征。分析结果表明:长江经济带东部地区城市创新效率高于中、西部地区城市,且均在周期性波动中缓慢上升,而创新效率低下主要是受技术效率影响。长江经济带城市创新效率在空间上表现为正的空间自相关性,集聚趋势呈倒“V”字型;集聚模式显示“东高西低”的空间格局,而集聚程度随时间逐渐减弱;创新效率的热点分布则呈“核心-外围-边缘”梯度结构演化。
In this paper, panel data of 108 cities in the Yangtze River economic belt from 2006 to 2015 are taken as a sample. DEA model and Malmquist index are used to measure the urban innovation efficiency in the Yangtze River economic belt. The spatial evolvement characteristics of innovation efficiency . The results show that the urban innovation efficiency in the eastern part of the Yangtze River economic belt is higher than that in the middle and western cities, and both increase slowly in the cyclical fluctuations. However, the innovation inefficiency is mainly affected by the technical efficiency. The urban innovation efficiency in the Yangtze River economic belt showed positive spatial autocorrelation in space, and the trend of agglomeration showed “V” shape. The agglomeration pattern showed a spatial pattern of “high in the east and low in the west”, and the degree of agglomeration over time Gradually weakened; the hot spot of innovation efficiency showed a “core-periphery-periphery” gradient structure evolution.