长江流域资源与环境 >> 2017, Vol. 26 >> Issue (12): 1954-.doi: 10.11870/cjlyzyyhj201712003

• 长江经济带建设及生态安全 • 上一篇    下一篇

长江经济带区域创新绩效时空特征分析

朱贻文,曾  刚, 邹  琳*,曹贤忠   

  1. (华东师范大学中国现代城市研究中心/城市与区域科学学院,上海 200062)
  • 出版日期:2017-12-20

SPATIAL FEATURE OF REGIONAL INNOVATION PERFORMANCE IN YANGTZE ECONOMIC ZONE

ZHU Yi-wen, ZENG Gang, ZOU Lin, CAO Xian-zhong   

  1. Center for Modern Chinese City Studies & School of Urban and Regional Science,East China Normal University, Shanghai 200062, China)
  • Online:2017-12-20

摘要: 创新已成为知识经济时代区域发展的重要动力,运用DEA-Malmquist 指数测度长江经济带区域创新绩效水平、空间结构及变化趋势等,通过Ward聚类对相似绩效水平的地区进行分组,具体分析不同发展阶段区域创新绩效特征及问题解决路径。实证研究证明:长江经济带整体绩效整体水平不高,经济核心区多通过大量物质投入及资源消耗实现创新体量增加而并非通过创新资源的充分利用实现, 如何提升已有技术资源的利用率却被忽视;处于不同发展阶段且具有相似绩效水平的区域各自表现出包括资源规模与投入、产出不匹配,投入冗余或产出不足等方面的不同特征及创新问题,处于相似发展阶段经济水平差异大的地区其具体创新绩效提升途径也具有一定差异性。

Abstract: Innovation has become an important driving force for regional economic development in the era of knowledge economy. This paper uses DEA-Malmquist index to measure regional innovation performance and spatial structure evolution of Yangtze Economic Zone, grouping regions with similar performance by Ward clustering method, analyzing innovation performance and problems. The results show that overall level of innovation performance in Yangtze Economic Zone is low, the development of core economic area mainly depends on R&D inputs and resource consumption, while the problem of how to improve utilization rate of existing technology is ignored. On one hand, regions at different development stages may have similar innovation performance, but experience different problems such as mismatch of resource scale and R&D input/output, input redundancy, lack of innovation output and so on. On the other hand, because the performance of regions at similar developmental stages are not the same, the specific ways to improve innovation performance are different. During 2000-2014, overall level of regional technology has improved significantly, while developing trend of regional production performance was gradually reduced. Technical level and performance show reverse trend of expansion, improvement of technology innovation mainly depends on input of resources, while how to improve the existing resources is worth further consideration. Specifically, 4 groups can be divided according to regional innovation performance. Overall level of innovation performance in cities at postindustrial stage is higher. Main problem of these cities is mismatch of resource scale and R&D input/output. Therefore, the most effective way for achieving optimal performance is adjusting resource scale. Less developed regions need optimize allocation of innovation resources by interregional cooperation. In addition, main problems for low innovation performance regions are lack of high-tech production output and application knowledge. Hence, main approach to improve innovation performance of these regions is continue expanding R&D resources and encouraging new product development.

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