长三角城市群绿色创新能力评价及空间特征

绿色创新作为创新驱动和绿色发展两大国家发展战略的结合点逐渐成为社会各界关注的热点.区域是绿色创新的载体,区域绿色创新能力的准确评价和区域间绿色创新能力空间特征的分析,有助于联系紧密的区域实现更高质量一体化.综合运用共线性-变异系数分析方法对已有文献涉及的评价指标进行筛选,确立由绿色创新投入、绿色创新产出、绿色创新基础3个一级准则层,46个评价指标构成的区域绿色创新能力评价体系.然后,基于2015年长三角城市群26个城市的数据,运用探索性空间数据分析方法,借助ArcGIS10.2和GeoDal.12软件工具对长三角城市群绿色创新能力进行空间格局及空间关系特征分析.实证结果表明:(1)基于共线性-变异系数指标筛选模型构建的区域绿色创新能力评价指标体系,用62.2％的指标反映了 92.1％的原始信息,能够客观地检验和衡量研究区绿色创新能力的水平和问题.(2)长三角城市群绿色创新能力整体偏低且发展不均衡,26个城市指数得分的平均值仅为0.225,得分第一的上海市是最后一位铜陵市的7倍,城市绿色创新能力和区域协同创新有待提升.(3)绿色创新能力相对较高的城市多沿长江或者沿海岸线分布,在空间上呈"之"字型的分布特征;长三角城市群绿色创新能力在空间上表现出一定的空间依赖和空间联系,印证长三角城市群城市间绿色协同创新发展,实现更高质量一体化的可行性.

Evaluation of Green Innovation Ability and Analysis of Spatial Characteristics in the Yangtze River Delta Urban Agglomerations

Green innovation, as the combination of the two national development strategies of innovation-driven and green development, has gradually become the focus of attention of all sectors of society. Regions are carriers of green innovation. Accurate evaluation of regional green innovation capabilities and analysis of the spatial characteristics of interregional green innovation capabilities will help close-knit regions achieve higher-quality integration. This article comprehensively uses collinearity-variance coefficient analysis method to screen the evaluation indexes involved in the existing literature, and establishes evaluation system of regional green innovation capacity, which consists of three first level criteria layers as green innovation input, green innovation output, and green innovation foundation, and 46 evaluation indicators. Then, it is based on the data of 26 cities in the Yangtze River Delta Urban Agglomerations in 2015, using exploratory spatial data analysis methods, using ArcGIS 10.2 and GeoDa1.12 software tools to analyze the spatial pattern and spatial relationship characteristics of the green innovation capacity of the Yangtze River Delta Urban Agglomerations. Empirical results show: (1) The regional green innovation capacity evaluation index system constructed based on the collinearity-variance coefficient index screening model, reflects 92.1% original information by 62.2% index, and can objectively test and measure the level and problems of green innovation capacity in the research area. (2) The green innovation capacity of the Yangtze River Delta Urban Agglomerations is generally low and unevenly developed. The average score of the 26 city indexes is only 0.225. The Shanghai city with the highest score is 7 times as much as the last one Tongling city. The urban green innovation capacity and regional synergy innovation needs to be improved. (3) The cities with relatively high green innovation capacity are mostly distributed along the Yangtze River or along the coastline, and have a zigzag distribution in space. The green innovation capacity of the Yangtze River Delta Urban Agglomerations shows a certain spatial dependence and spatial connection, which confirms the feasibility of green coordinated and innovative development among cities in the Yangtze River Delta Urban Agglomerations to achieve higher quality integration.