| 城市双元创新驱动因素的时空异质性——以生物医药多元创新要素耦合分区为例 |
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| 引用本文： | 王璐玮,汪涛,张晗.城市双元创新驱动因素的时空异质性——以生物医药多元创新要素耦合分区为例[J].地理科学,2021,41(9):1556-1568. |
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| 作者姓名： | 王璐玮 汪涛 张晗 |
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| 作者单位： | 南京师范大学地理科学学院，江苏 南京 210023 |
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| 基金项目： | 江苏省高校哲学社会科学研究重大项目(2020SJZDA135) |
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| 摘 要： | 构建有向的耦合协调度模型，分析生物医药技术、资金、人才在城市间流动的协同水平，依此划分耦合分区。利用均方差-突变级数法和地理加权回归模型，探究2000—2018年间双元创新冷热点演化格局、双元创新驱动因素的时空异质性及其在不同耦合分区内的主导效应。结果发现：① 城市集聚多元创新要素时“脱钩”现象突出，对外配置多元要素时“雁阵效应”明显。根据多元要素协同流动情况，将地域划分为以依附式耦合为主的保守区、以互惠式耦合为主的平衡区和以吸收式耦合为主的明星区；② 渐进式创新具有时空惰性，突破式创新具有时空间歇性，两者相互反哺，存在时空连锁效应。保守区是主要的双元创新冷点区，平衡区内渐进式创新热点呈现出点-轴扩散的空间增长趋势，突破式创新热点在重要节点城市间跳跃分布，明星区内长三角和珠三角城市群的双元创新热点呈圈层式分布；③ 双元创新的驱动因素具有时序不稳定性和空间异质性，不同耦合分区内城市资产对双元创新的时空主导效应差异明显。
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| 关 键 词： | 渐进式创新 突破式创新 多元要素耦合 城市资产 |
| 收稿时间： | 2020-12-16 |
| 修稿时间： | 2021-03-29 |
The Spatio-temporal Heterogeneity of the Driving Factors of Urban Ambidextrous Innovation:Taking the Coupling Divisions of Biomedical Multi-innovation Elements As An Example |
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| Wang Luwei,Wang Tao,Zhang Han.The Spatio-temporal Heterogeneity of the Driving Factors of Urban Ambidextrous Innovation:Taking the Coupling Divisions of Biomedical Multi-innovation Elements As An Example[J].Scientia Geographica Sinica,2021,41(9):1556-1568. |
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| Authors: | Wang Luwei Wang Tao Zhang Han |
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| Institution: | School of Geography, Nanjing Normal University, Nanjing 210023, Jiangsu, China |
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| Abstract: | With the continuous upgrading of the biomedical industry, a closer institutional connection and a more complete feedback mechanism have been gradually established between its innovation system and local assets. In this article, the coupling coordination characteristics and coupling modes of the flow of technology, capital and talents in different cities in the field of biomedicine from 2000 to 2018 were analyzed by constructing a directional coupling coordination degree model. We further used the mean square error-mutation progression method and the geographically weighted regression model to explore the evolution pattern of dual innovation cold and hot spots, the temporal and spatial heterogeneity of dual innovation driving factors, and their dominant effects in different coupling regions. The results show that: 1) Phenomenon of ‘decoupling’ is prominent when cities gather multiple innovation elements, and phenomenon of ‘geese effect’ is obvious when deploying multiple innovation elements. According to the coupling coordination of multi-elements flow, the geographical space can be divided into a conservative zone dominated by dependent coupling, a balanced zone dominated by reciprocal coupling, and a star zone dominated by absorption coupling; 2) Incremental innovation has spatio-temporal inertia, while breakthrough innovation has spatio-temporal intermittent. The two promote each other and have a spatio-temporal chain effect. Cities in conservative zone mainly are cold spots. The incremental innovation hotspots show a spatial growth trend of point-axis diffusion, while the breakthrough innovation hotspots randomly jump among important node cities in the balanced zone. The ambidextrous innovation hotspots of the Yangtze River Delta and the Pearl River Delta urban agglomeration show a circle distribution in the star zone; 3) Driving factors of the ambidextrous innovation have temporal instability and spatial heterogeneity, and the factors in different coupling divisions have obviously different spatio-temporal dominant effects on the ambidextrous innovation modes. |
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| Keywords: | incremental innovation breakthrough innovation coupling of multiple factors urban assets |
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