【摘要】 在全球科技创新竞争日趋激烈的背景下，国家级新区作为科技创新前沿和改革基地，其创新生态系统韧性水平、演化阶段及优化路径，对提升区域乃至国家整体创新能力和水平具有重要的理论与现实意义。本文以上海市浦东新区为例，基于韧性演化理论，运用优劣解距离法与熵值法，对2012—2023年浦东新区创新生态系统进行韧性水平测度和韧性演化阶段聚类识别。研究发现：（1）专利授权数增长率、内资企业注册资本增量和规模以上企业总数三项指标对创新生态韧性水平综合评价的影响较大；（2） 2012—2023年浦东新区创新生态韧性初始水平不高，但在演化中不断提升和优化；（3）浦东新区创新生态系统韧性阶段经历了由起步阶段—中低韧性—中低韧性提升—中韧性优化四个阶段的优化演进。为此，可通过实施领先型企业战略促进创新组织规模及质量提升、促进资本与产业精准对接、缩短前沿科技创新成果转化周期、加快资源战略储备库和产业数字化转型建设、鼓励长周期的原始创新研究，强化创新生态综合评价与分析等措施，全方位提升新区创新生态系统韧性水平。更多还原

【Abstract】 Against the backdrop of intensifying global competition in science and technology innovation, national-level new areas serve as frontiers and pilot zones for technological innovation. Studying their innovation ecosystem resilience, evolutionary stages, and optimization paths is vital for boosting national and regional overall innovation performance. Taking Pudong New Area as an example, according to the theory of resilience evolution, this paper uses the distance method of good and bad solutions and the entropy method to measure the resilience level and cluster the resilience evolution stages of the innovation ecosystem in Pudong New Area from 2012 to 2023. The results show that:(a) The weight of the three indicators, the growth rate of the number of patents, the registered capital increment of domestic enterprises and the total number of enterprises above designated size, has a greater impact on the comprehensive evaluation of resilience level;(b) from 2012 to 2023, the overall level of innovation ecological resilience in Pudong New Area is not high, but it is constantly improving and optimizing in the process of evolution; and(c) from 2012 to 2023, its resilience has undergone an evolutionary optimization process spanning four phases : initial development, low-moderate resilience, upgraded low-moderate resilience, and optimized moderate resilience. Accordingly, multiple countermeasures can be adopted to comprehensively lift the innovation ecosystem resilience of the new area: implement leading enterprise strategies to expand the scale and upgrade the quality of innovative entities; realize precise matching between capital and industries; shorten the commercialization cycle of cutting-edge scientific and technological achievements; accelerate the establishment of strategic resource reserves and industrial digital transformation; support long-cycle original basic research; and reinforce comprehensive evaluation of the innovation ecosystem.更多还原