长江经济带城市创新水平的时空格局及影响因素研究

在我国“创新驱动发展战略”背景下，城市创新水平是决定城市可持续发展能力的关键.以长江经济带110个城市为研究对象，基于2010年和2015年专利授权数为衡量指标，利用空间自相关、局部冷热点分析及相对发展率指数等方法研究长江经济带城市创新水平的时空格局及变化，发现长江经济带城市创新水平区域差异化特征明显，呈现“东部强，中西部弱”的空间格局；且创新水平空间相关性强，呈空间集聚的态势.同时，从区域创新水平的相对发展速度来看，中上游地区的省会城市和直辖市增长速度快，发展势头迅猛.最后通过建立多元线性回归模型，发现影响城市创新水平的因素具有多元化和动态化特征，其中，城市经济基础和工业发展水平为最典型的影响因素，企业创新能力的提高也逐渐成为影响区域创新水平的关键因素.

Study on the spatial-temporal pattern and the influencing factors of the city innovation level of the Yangtze River Economic Belt

Under the background of “innovation-driven development strategy” in China， the level of urban innovation is the key determinant for the ability of urban sustainable development. In this study， taking 110 cities in the Yangtze River Economic Belt as the research object and based on the number of patents granted in 2010 and 2015， the spatial pattern and change of urban innovation level in Yangtze River Economic Belt were studied by means of spatial autocorrelation， local cold hotspot analysis and relative development rate index. It is found that the urban innovation level of the Yangtze River exhibts the spatial pattern of the “strong in the east and weak in the Midwest”， while characteristics of the regional differences are significant. And the spatial correlation of innovation level is strong， which indicating the trend of spatial agglomeration. At the same time， from the view of the relative development speed of regional innovation level， the provincial capital cities and municipalities directly under the Central Government in the upper and middle reaches of the region grow rapidly and develop promptly. Finally， through the establishment of multiple linear regression model， it is found that the factors that affect the level of urban innovation have the characteristics of diversification and dynamics. Among them， the urban economic base and industrial development level are the most typical influencing factors， and the improvement of enterprise innovation ability has gradually become the key factor affecting the regional innovation level.