多维邻近性下新能源合作创新网络演化研究

摘要/Abstract

摘要： 通过手动检索中国国家知识产权局的专利数据库，以1999—2018年内排名前100的新能源企业间合作申请专利数据为样本，借助UCINET6.0软件对各阶段合作创新网络进行可视化操作，对新能源产业合作创新网络图谱的相关参数进行统计和分析。选取合作创新绩效作为因变量，选取地理、技术、组织和社会邻近性作为自变量，选取规模相似性和研发经验相似性作为控制变量，并对这些变量数据进行标准化处理。在此基础上，将1999—2018年分为四个阶段，每5年为一个阶段，建立研究模型，采用QAP多元回归分析方法，探究地理、技术、社会和组织邻近性在不同阶段对新能源产业合作创新网络演化的影响。研究结果表明：地理邻近性对新能源产业合作创新网络演化的影响呈下降趋势，组织邻近性始终对该合作创新网络演化发挥着积极作用，技术邻近性对该合作创新网络演化的影响程度逐渐下降，社会邻近性是推动该合作创新网络演化的重要因素，且其显著性一直较高。为加快我国清洁低碳、安全高效的现代化新能源网络建设，并推动新能源产业良好发展，基于实证研究结果，提出相应的对策建议：第一，搭建地区间新能源产业合作平台，推动新能源产业战略联盟建设；第二，实施技术领先战略，打造鲜明的技术特点，建立新能源技术区域互鉴机制和复杂技术联合攻关机制。

关键词: 多维邻近性, 新能源产业, 创新网络演化, QAP分析

Abstract: The development of new energy industry is not only an important part of cultivating strategic emerging industries, but also an effective way to promote high-quality economic development and enhance China′s core competitiveness. However, the research on the Cooperative Innovation Network of China′s new energy industry from the perspective of multi-dimensional proximities needs to be strengthened. Therefore, based on the multi-dimensional perspective of proximity, through the social network analysis method, this paper deeply analyzes the evolution dynamics of China′s new Energy Industry Cooperative Innovation Network, explores its evolution law, and puts forward the corresponding countermeasures, it is expected to promote the development of new energy industry in China.
By manually searching the patent database of the State Intellectual Property Office, a sample of the patent data of the top 100 New Energy Enterprises from 1999 to 2018 was collected, with the help of UCINET6.0 software, the cooperative innovation network of each stage is visualized, and the related parameters of the Cooperative Innovation Network Atlas of new energy industry are analyzed. The performance of cooperative innovation is selected as the dependent variable, geographical proximity, technological proximity, organizational proximity and social proximity as the independent variables, and scale similarity and R&D experience similarity as the control variables, and carry on the standardization processing to these variable data. On this basis, the 1999-2018 period is divided into four stages, every five years for a stage, to establish a research model, using QAP multiple regression analysis, this paper explores the effects of geographical proximity, technological proximity, social proximity and organizational proximity on the evolution of cooperative innovation networks in new energy industries at different stages.
The results show that the influence of geographical proximity on the evolution of new energy industry cooperative innovation network is decreasing, and organizational proximity always plays a positive role in the evolution of new energy industry cooperative innovation network, the influence of technology proximity on the evolution of the innovation network is decreasing, and the social proximity is an important factor to promote the evolution of the Innovation Network, and its significance is always high.
In order to speed up the construction of a clean, low-carbon, safe and efficient modern new energy network in China and promote the sound development of the new energy industry, based on the results of the empirical study, this paper puts forward corresponding countermeasures and suggestions: firstly, to build an inter-regional new energy industry cooperation platform. Secondly, we will implement the technology-leading strategy, develop distinctive technological features, and establish a mechanism for regional mutual learning of new energy technologies and a mechanism for joint tackling complex technologies.
The contributions of this study are as follows: firstly, from the perspective of networking, a cooperative innovation network model of China′s new energy industry is constructed, this paper explores the law of cooperation and development of new energy industry in China, so as to find out the effective countermeasures to promote the cooperation and innovation of new energy industry. Secondly, through the multiple regression analysis of QAP, this paper investigates the influence degree of multi-dimensional proximities on the evolution of new energy industry cooperative innovation network, and puts forward the countermeasures to promote the good development of new energy industry.

Key words: multidimensional proximity, new energy industry, innovation network evolution, QAP analysis

苏屹, 郭家兴, 王文静. 多维邻近性下新能源合作创新网络演化研究[J]. 科研管理, 2021, 42(8): 67-74.

Su Yi, Guo Jiaxing, Wang Wenjing. A research on the evolution of cooperative innovation network of new energy industry based on multi-dimensional proximities[J]. Science Research Management, 2021, 42(8): 67-74.

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