| 国际养老新兴技术合作模式演化及影响因素研究 |
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| 引用本文： | 米兰,黄鲁成,苗红,吴菲菲.国际养老新兴技术合作模式演化及影响因素研究[J].科研管理,2021,42(10):28-39. |
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| 作者姓名： | 米兰 黄鲁成 苗红 吴菲菲 |
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| 作者单位： | 1.哈尔滨工程大学经济管理学院，黑龙江 哈尔滨150001；
2.北京工业大学经济与管理学院，北京100124 |
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| 基金项目： | 国家社会科学基金重大项目：“依靠科技创新应对人口老龄化跨学科研究”（17ZDA119）。 |
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| 摘 要： | 为挖掘国际养老新兴技术合作网络的结构拓扑特征、合作模式演化及其影响因素，基于复杂网络多尺度理论，构建了养老新兴技术合作网络自宏观、中观到微观的多尺度分析方法，包括复杂网络全局分析、合作模式演化分析及演化影响因素分析。研究结果表明，宏观层面国际养老科技新兴技术合作网络演化呈现明显的阶段特征和复杂网络特征，随着时间推移，网络规模不断增大，连通性增强，但不同阶段合作网络结构存在较大的差异性；中观层面合作网络核心由初期的个人逐渐过渡到产学研主体，低广度-低深度型合作模式的绝对主导位置日益削弱，高广度-高深度型模式迅速提升，不同类型主体间合作模式呈现出不同的演化路径，整体合作深度、广度在持续加深；微观层面合作演化影响因素中，技术创新能力始终无显著影响，而地理邻近性有显著促进作用；技术合作主体类型、合作广度、技术相似性的促进作用逐渐削弱，技术互补性的抑制作用不断增强。最后，结合研究结论，对我国积极参与全球养老科技合作提出了针对性的建议。
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| 关 键 词： | 技术合作网络 合作模式 演化分析 影响因素 养老技术 |
| 收稿时间： | 2020-08-15 |
| 修稿时间： | 2021-02-04 |
A research on the evolution characteristics and influencing factors of thecooperation mode of the international emerging gerontechnology |
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| Mi Lan,Huang Lucheng,Miao Hong,Wu Feifei.A research on the evolution characteristics and influencing factors of thecooperation mode of the international emerging gerontechnology[J].Science Research Management,2021,42(10):28-39. |
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| Authors: | Mi Lan Huang Lucheng Miao Hong Wu Feifei |
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| Abstract: | Population ageing is widely seen as a major challenge that drives the future of science and technology (S&T) policy and management in industrialized societies. Under the realistic background of rapid development of population aging, increasing attention is paid to the role of innovation in supporting the aging society. Science, technology and innovation are widely perceived to provide a means for solving the grand challenge of population ageing. Innovations for the elderly are usually referred to as gerontechnologies, which has been acclaimed to be the solution to the problems associated with demographic change. In addition, the acceleration of the global aging population and the highlighting of S&T globalization effectively spurred the demand for international gerontechnological cooperation, and it is urgent to explore the characteristics and influencing factors of the cooperation network. Given that, this paper constructs the international emerging gerontechnology cooperation network based on international patents data mining. In addition, this paper analyzes the topological characteristics, evolution trends and influencing factors of the cooperation networks based on the multi-scale theory of complex networks, which includes the analysis of the overall situation of complex networks, the evolution of cooperation models, and the factors affecting cooperation.The results show that cooperation network presents obvious stage and complex network characteristics at the macro level, the network scale is constantly increasing, the connectivity is enhanced, and there are large differences in the network structure at different stages. As a whole, the cooperative entities develop in a diversified and balanced way, and the cooperative relationships evolve from point-to-point to complex networks. The network size keeps increasing, and the number of nodes and times of cooperation significantly increase, international cooperation in the field of emerging gerontechnology has become more frequent and closer. From the meso-level, the center of the cooperation network gradually transitioned from the initial individual to the main body of Industry-University-Research, and the absolute dominance of the low breadth-low depth cooperation model has gradually weakened, the high breadth-high depth cooperation model has rapidly increased. In addition, cooperation modes between different types of patentees present different evolutionary paths, but the overall cooperation depth and breadth continue to deepen. At the micro level, among the influencing factors of the cooperation network formation, technological innovation ability has no significant influence all the time, while geographical proximity has a significant promotion effect. In addition, the promotion effect of patentee type, cooperation breadth and technology similarity is gradually weakened, while the inhibition effect of technology complementarity is continuously enhanced. Finally, combined with the research conclusions, we put forward some specific suggestions for China′s active participation in global gerontechnological cooperation. The innovation of our paper is to construct the international emerging gerontechnology cooperation network based on patents data mining, including institution cooperation network, technology co-occurrence network, and country-technology two-mode network, and systematically analyzes the overall structural characteristics and formation mechanism. This paper contributes to our understanding of the characteristics and affecting factors of the international gerontechnology cooperation, as well as the decision reference for the R&D innovation of the aging society. |
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