中文摘要：

研究目标：京津冀、长三角、珠三角、长江中游、成渝、中原以及哈长城市群创新能力的区域差距及其时空动态演进。研究方法：运用Dagum基尼系数、Kernel密度估计、空间Markov链进行实证研究。研究发现：七大城市群创新能力空间差距呈缩小趋势但依然显著，区域间差距是总体差距的主要来源；其创新能力分布呈不同的极化现象与趋势；其创新能力发展具有显著的空间依赖性，邻域创新环境的优劣对周边城市创新水平的向上转移产生非同步、差异化影响。研究创新：挖掘七大城市群创新能力区域差距来源，并通过科学揭示其时空演变规律为城市群创新差距提供空间解释。研究价值：对缩小城市群创新能力区域差距，构建创新驱动的区域经济发展支撑点具有重要的理论和现实意义。

英文摘要：

Research Objectives： Exploring the regional disparity and the distributional dynamic evo- lution of the innovation ability in seven Chinese megalopolises. Research Methods： Using the methods of Dagum＇s Gini coefficient, Kernel density nonparametric estimation and Spatial Markov Chains, this paper carries on the empirical research. Research Findings： Firstly, the overall disparity of the innovation ability in megalopolises shows a narrowing trend while there are significant disparities, and the disparities among megalopolises are the major source of overall disparity. Secondly, the regional distribution of the innovation ability in the seven Chinese megalopolises appears different polarization trend. Thirdly, the innovation ability growth appears to distribution feature of spatial autocorrelation, and neighboring innovation environment significantly affects the evolution of the regional innovation ability diversely. Research Innovations： This paper explores the source of overall disparity, and provides a spatial exploration to it through investigating the time-space evolutionary characteristics. Research Value： It is of great theoretical and practical significance to narrow regional disparity of innovation capability and to construct the innovation-driven regional economic development supporting point.