How does network intermediary affect collaborative innovation?Evidence from Chinese listed companies

Purpose:This study aims to explore how network intermediaries influence collaborative innovation performance within inter-organizational technological collaboration networks.Design/methodology/approach:This study employs a mixed-method approach,combining quantitative social network analysis with regression techniques to investigate the role of network intermediaries in collaborative innovation performance.Using a patent dataset of Chinese industrial enterprises,the research constructs the collaboration networks and analyzes their structural positions,particularly focusing on their role as intermediaries,characterized by betweenness centrality.Negative binomial regression analysis is employed to assess how these network characteristics shape innovation outcomes.Findings:The study reveals that firms in intermediary positions enhance collaborative innovation performance,but this effect is nuanced.A key finding is that network clustering negatively moderates the intermediary-innovation relationship.Highly clustered networks,while fostering local collaboration,may limit the innovation potential of intermediaries.On the other hand,relationship strength,measured by collaboration intensity and trust among firms,positively moderates the intermediary-innovation link.Research limitations:This study has several limitations that present opportunities for further research.The reliance on quantitative social network analysis may overlook the complexity of intermediaries’roles,and future studies could benefit from incorporating qualitative methods to better understand cultural and institutional factors.Additionally,cross-country comparisons are needed to assess the consistency of these dynamics in different contexts.Practical implications:The study offers practical insights for firms and policymakers.Organizations should strategically position themselves as network intermediaries to access diverse information and resources,thereby improving innovation performance.Building strong trust helps using network intermediary advantages.For firms in highly clustered networks,it is important to seek external partners to avoid limiting their exposure to new ideas and technologies.This research emphasizes the need to balance network diversity with relationship strength for sustained innovation.Originality/value:This research contributes to the literature by offering new insights into the role of network intermediaries,presenting a comprehensive framework for understanding the interaction between network dynamics and firm innovation.

Research on the Collaborative Innovation Model in Regional Social Governance

Reforms in social governance are promoted by changes in social environments.Social governance models cannot be constant,and the rise of every innovative governance model is inseparable from an ever-changing society.The theoretical connotation of the collaborative innovation model in regional social governance is mainly reflected in its agents,actions,and processes.The fundamental requirements of the collaborative innovation model in regional social governance are de-administration and market-based.The key elements of the collaborative regional social governance model include:delegating power from central authorities,transferring selected social governance affairs,enhancing the development of governance capabilities in social governance agents,diversifying these agents by giving full play to the agency to strengthen the concept of collaborative governance for social governance agents,strengthening the establishment of the governance system,and ensuring the normal progress of the governance processes.The collaborative innovation model in regional social governance should be built in three aspects:a system of institutional norms,an evaluation indicator system,and law-based collaborative governance.

Partner selection of collaborative innovation of strategic emerging industry - based on ANP-GRA

The rise and development of strategic emerging industries need a new innovative mode--collaborative innovation, collaborative innovation as a complex multi-object relationship, it is essential to select an appropriate partner. Partner selection is the key to the success of strategic emerging industry collaborative innovation. This paper takes collaborative innovation partner selection as research focus, establishing evaluation system of collaborative innovation partner selection, using analytic network process （ANP） to determine the weight of evaluation index, then, obtaining grey correlation rank of collaborative innovation partner by Grey relational analysis （GILA）, providing the basis for strategic emerging industry to select collaborative innovation partner.

Exploring Regional Innovation Growth Through A Network Approach:A Case Study of the Yangtze River Delta Region,China

As the leading urban agglomeration in China,the Yangtze River Delta(YRD)is experiencing a factor-driven to innovationdriven transition.However,the dynamics of regional innovation growth are not yet fully understood.This paper combines the complex network methodology with spatial econometrics to disentangle the contributions of innovation endowments,innovation network flows,and innovation network positions to regional innovation growth,as well as their spatial spillover effects.The primary findings suggest that regional innovation growth results from the networked agglomeration economies,which is shaped by the interactions between agglomeration factors and network factors.Specifically,agglomeration factors play a fundamental role in regional innovation growth.In contrast,network factors,such as the network flows and network positions,may contribute to new path creation by promoting access to external innovation resources.Additionally,the institutional factors show multiplexity in fostering regional innovation patterns.Such findings indicate that the YRD region should shift the innovation growth pattern from competitive involution to mutually beneficial cooperation to reduce regional disparities.In this regard,the institutional capacity of organizing network flows and fostering reciprocal inter-city partnerships has become increasingly critical for promoting sustainable innovation and regional development.

Entrepreneurial Orientation and Innovation Ecosystems in the Industrial Sector, Central Region, Kampala, Uganda: A Review

This review explores entrepreneurial orientation and innovation ecosystems in the industrial sector of the Central Region, Kampala, Uganda, through an analysis of ten scholarly articles. The study contextualizes the research within the regional landscape and establishes a theoretical framework through a focused literature review. Key findings highlight the intersection of entrepreneurial activities and innovation dynamics, emphasizing the region’s unique contributions to the broader field. Discussions on discrepancies and unexplored territories within the articles offer insights into limitations and research gaps. The manuscript concludes by identifying future research avenues, providing a roadmap for ongoing inquiry into the entrepreneurial and innovative dimensions of the Central Region’s industrial sector. This synthesis underscores the importance of cultivating an entrepreneurial mindset and collaborative innovation strategies for sustainable industrial development in the region.

A Study of Methods to Identify Industry-University-Research Institution Cooperation Partners based on Innovation Chain Theory

Purpose： This study aims at identifying potential industry-university-research collaboration（IURC） partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.Design/methodology/approach： The method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.Findings： Empirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.Research limitations： In this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.Practical implications： Industry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.Originality/value： Compared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value.

协同创新理论下中国国家实验室建设路径探索——基于美国能源部国家实验室的经验启示

为推进中国国家实验室的开放和协同创新,运用协同创新理论,基于对美国能源部国家实验室协同创新的实践经验分析,结合中国当前面临被西方主要国家技术封锁的严峻形势,探讨协同创新促进中国国家实验室建设的路径。协同创新包含了多方创新主体、共同目标、优势互补和合理分工、复杂的相互作用和整体协同效应等五方面的核心要素,其结构从简单无序布局向高级有序组织变革转变为网络化创新结构,因此要确保协同创新成果实现,需要充分考虑不同主体之间的利益平衡和风险控制等因素。美国能源部国家实验室具有明确的战略目标与使命、充足的财政投入与多元化经费来源、高效的管理运行机制、人员组成多元化的强大科研团队,其发展总体呈现开放化、网络化的对外合作趋势,在协同创新方面形成了强化战略导向和目标聚焦、深化产学研合作、建立高效的协同机制、强化人才培养和团队建设,以及鼓励创新、营造宽容失败的文化氛围等经验举措。借鉴美国经验,深化国际合作和加强内部合作是应对挑战、促进国家实验室建设的两翼。因此,应对当前西方国家技术封锁,中国国家实验室建设须毫不动摇地坚持开放共享与合作交流的理念,强化顶层设计与政策引导,深化产学研用合作,建立高效协同机制,实现多领域协同创新、引领学科交叉创新,并积极融入创新联合体建设,弘扬科学家精神、营造鼓励创新探索的科研文化氛围。

“一带一路”共建国家农业科技创新合作网络结构演化及影响因素探究

基于WOS数据库中跨国农业科技论文合著数据,借助社会网络分析法和QAP回归模型,剖析2006—2020年“一带一路”共建国家农业科技创新合作网络结构演化特征及影响因素。研究发现:(1)“一带一路”共建国家农业科技创新合作网络整体结构指标均得到了不同程度的优化,且各指标优化速度快于全球农业科技创新合作网络。(2)“一带一路”共建国家和全球国家农业科技创新合作网络去中心化趋势均较明显,多核共存特征更加突出。(3)中国和意大利在合作网络中同时扮演着核心者和中间人角色。(4)合作网络呈现出双向溢出、主受益、“经纪人”3种类型的块集聚特征,亚洲国家是推动农业科技创新合作的主引擎。(5)制度、经济、科研和认知邻近对3个阶段的合作网络都具有显著的正向影响,而空间邻近对合作的阻碍作用逐渐减弱。“一带一路”共建国家应进一步重视跨国农业科技创新合作,明确自身在合作网络中的地位与角色,充分借助网络核心国家的重要作用,加速融入农业科技创新国际合作核心网络.

区域协同创新视角下广东省众创空间运行效率评价研究

众创空间的有效运行在很大程度上影响着区域创新效率。建立能够有效分析众创空间运行效率的科学评价体系,才能找到众创空间无序发展的问题所在,以实现其发展的辐射带动作用和价值利益的最大化。鉴于此,基于广东省众创空间2016—2020年有关面板数据,采用BCC模型和数据包络分析(DEA)-Malmquist指数模型相结合的方法,通过动静态结合对广东省众创空间运行效率进行客观评价分析,以期为提升众创空间服务的有效供给提供参考。结果表明:2018年是广东省众创空间转型发展的关键年份,逐渐从开始的规模化增长转型迈向高质量发展,但不同城市之间的综合效率水平极不平衡,综合效率最高的为1.000,最低的为0.384;广东省众创空间运行效率整体表现较好,处于逐年增长的态势,其中众创空间的整体运营管理水平和技术投入效率逐年提高,但单一的规模驱动增长模式很难保持持续增长,技术进步变化对众创空间运行效率的影响更加显著。因此,需要构建科学合理的众创空间运行评价指标体系,明晰正确的发展方向,减少资源冗余和浪费。

知识产权保护对“一带一路”国家间创新合作的影响

当前全球创新网络正向区域化方向发展,呈现出与“西方中心论”话语体系下“南北冲突”模型所不同的发展态势。“一带一路”倡议下包含的政策沟通、设施联通、贸易畅通、资金融通和民心相通的“五通”合作模式为南南合作提供了新范式。利用零膨胀负二项模型,以2008—2019年incoPat数据库中“一带一路”国家申请的《专利合作条约》(PCT)专利数据作为研究样本,探究“一带一路”共建国家创新合作与知识产权保护的关系。结果表明:“一带一路”创新合作网络已从以俄罗斯为核心的单核心布局发展为以俄罗斯、中国和新加坡为核心的多核心集聚型布局,俄罗斯的主导地位下降、中国和新加坡后来居上;国家创新体量、知识产权保护水平和互联互通水平是“一带一路”共建国家间创新合作的重要影响因素。其中,提高知识产权保护水平和互联互通水平对处于区域创新网络外围位置的国家的促进作用更强,而处于网络核心位置的国家的创新合作则更依赖国家创新体量;增强互联互通水平有助于为创新合作搭建桥梁,缓解对知识产权正式制度的依赖;处于区域创新网络外围位置的后发国家可以在维持知识产权标准以保护本国工业基础的同时,通过增强互联互通水平参与创新网络构建。因此,中国应加强与“一带一路”共建国家的知识产权国际合作,加快构建多边、周边、小多边、双边四边联动及协调推进的知识产权国际合作新格局。

逆全球化背景下区域协同创新网络抗毁性评价——以长江经济带城市群为例

从结构抗毁性和功能抗毁性两个维度构建区域协同创新网络抗毁性评价指标体系,进而提出改进的AHPCRITIC组合赋权法确定指标权重,并采用TOPSIS方法对长江经济带3个城市群协同创新网络的抗毁性水平进行综合评价。结果表明,长三角城市群的协同创新网络抗毁性水平最强,成渝城市群次之,中游城市群最低;随着时间推移,长三角城市群的抗毁性持续增强,成渝城市群呈现“V”型减弱趋势,中游城市群呈现“V”型增强趋势;从结构抗毁性看,长三角城市群持续增强,成渝城市群与中游城市群呈现“V”型增强趋势但增幅较小;从功能抗毁性看,长三角城市群与中游城市群均呈现“V”型增强趋势,而成渝城市群呈现“V”型减弱趋势。

协同创新驱动科技成果转化效率提升的多元路径与异质性研究

科技成果转化是实施创新驱动发展战略的重要任务,协同创新是提升科技成果转化效率的关键举措。本文从投入、产出、环境、互动四个层面构建协同创新影响科技成果转化效率的理论框架,以中国30个省份为样本,运用模糊集定性比较分析法探究协同创新驱动科技成果转化效率提升的多元实现路径与区域异质性。研究发现:①单个协同创新要素不构成科技成果高转化效率的必要条件,但科研激励强度作为核心要素对提升科技成果转化效率具有普适作用;②协同创新驱动科技成果转化效率提升的组态有三种,可归纳为科研环境驱动型和科研经费保障下的激励型两条实现路径,且前者包含案例最多;③科技成果非高转化效率并非高转化效率的对立面,科研素质不高是产生非高转化效率的重要因素;④异质性分析表明,科研环境、科研产出、科研素质分别对东、中、西部地区提升科技成果转化效率具有关键作用,科研投入和科研素质缺失则具有普遍不利影响。

地区政策不确定性对合作创新网络的影响效应

在经济日趋复杂的形势下,改善制度环境并推进合作创新对于促进区域发展具有重要意义。利用合作专利构造了中国地级地区的合作创新网络,探索了地区的政策不确定性对合作创新网络的影响及其作用机制。结果表明,政策不确定性上升会提升合作创新网络的中心度,但并不显著改变网络集聚系数。这种变化是经济主体在不确定环境下权衡交易成本规避和创新风险分摊两种相反作用力的结果。政策不确定性上升会驱使原有合作伙伴之间增加合作创新,但更广泛主体之间的合作创新会受到抑制,由此导致合作网络的僵化和集权程度的提高。进一步分析发现,政策不确定性上升虽然不会明显改变本地合作创新的规模,但会显著降低本地区在区际合作创新网络中的活跃度和影响力。总体上,不确定的政策环境对合作创新形成了负面效应,容易使区域创新与发展陷入自稔性困境。

创新生态下知识主体协同组合对区域创新的贡献路径及演化趋势:基于动态定性比较分析(QCA)方法

厘清如何协同知识主体、辨析创新贡献路径是提高中国创新水平和增强创新能力的关键。在对案例进行研究和过程追踪的基础上,利用模糊定性比较分析(fsQCA)方法对2004—2019年中国29个省份的知识主体组合和时间演化进行分析;同时,对多个省份的不同知识主体进行动态定性比较分析,以寻求不同时期条件组态的贡献变化情况。结果表明:多元协同治理型的均衡知识主体贡献是促进区域创新发展的相对合理组态,而在2004—2019年期间,29个省份知识主体的创新贡献存在要素波动,并且不同时段的组态贡献存在不均衡的情况,以企业知识主体为主导的理论市场推动型呈现整合主导轨迹、以高校知识主体为主导的基础研发支柱型呈现缓冲主导轨迹;企业和高校在创新贡献中长期占重要地位,知识主体贡献结构较为稳固集中,但逐渐呈现出散点趋势。因此,需要根据区域现实情况因地制宜,在优化创新环境的基础上有效发挥知识主体的组合效能,推动区域创新能力的提升与发展。

EFFECTS OF COLLABORATION NETWORKS ON TECHNOLOGY INNOVATION IN THE SOLAR PHOTOVOLTAIC(PV)SECTOR:A CASE STUDY OF CHINA

Efficient use of energy is an essential aspect of green building development.In order to achieve a more energy efficient society,innovation of solar photovoltaic(PV)technologies is a necessity.Collaboration between innovators is regarded as important for innovation;however,the existing literature has made few attempts to investigate how a collaboration network can affect technology innovation in the context of the solar PV sector.This study aims to fill this research gap.In this study,innovation activities are categorized as exploratory innovation and exploitative innovation.A conceptual framework and a series of hypotheses are proposed from the perspectives of network structure(including direct ties,indirect ties,and network efficiency)and network composition(such as geographical proximity,institutional proximity,and technological proximity).The empirical results show that in the solar PV sector of China,collaboration networks with different kinds of structure and composition can imply diverse effects on exploratory innovation and exploitative innovation.Followed with the derived results,it can be concluded that network collaboration is not always beneficial for PV technology innovation.The research findings could convey useful information to both practitioners and policy-makers to adopt appropriate strategies for promoting effective innovation collaboration.

推进京津冀协同创新:底层逻辑、协同特征与前景展望——基于层级、领域、强度的三维视角分析

推进京津冀协同创新已经10年,在多个层面、多个维度、多个领域取得重大进展。作为京津冀协同发展重要内容,也是利益调节难度大、协同带动力强的内容,京津冀协同创新推进速度较快,在科技成果转化、产业技术协同攻关、创新平台协同共享、协同创新机制完善等方面取得重要成效。京津冀协同创新呈现三个特征:京津冀协同创新全面展开,但创新协同深度参差不齐;政府功能与市场机制互动,构成了由表层走向深层的双重动力;完善共建共享利益机制是突破点,科学可行的协同创新模式是关键。未来京津冀协同创新目标将更加清晰、协同内容不断优化、协同模式呈多样化、协同政策统一高效。

开发区升格政策与区域创新“增量提质”——基于区县层面和修正专利数据的研究

本文基于2007—2018年区县层面的修正专利数据,采用渐进式多重差分模型实证检验开发区升格政策对区县创新“质”与“量”的影响。研究发现,开发区升格政策使所在区县专利申请数和被引用次数分别增加23.22%和20.25%,推动开发区扮演产学研协同创新平台的角色,激发域内创新主体间的协同化与一体化,进而实现创新成果与实体产业的有机融合;升格政策通过政策优惠效应、企业成长效应和集聚效应等渠道提升所在区县的创新水平,其效果因专利类型、开发区类别和规模及地区政府效率的不同而有所差异。最后,进一步的分析证实升格政策在优化资源配置方面具有重要作用。

多主体协同增强区域创新生态系统韧性的机制研究——基于知识流动视角

采用系统耦合协调度方法测度区域创新生态系统韧性,进一步构建计量模型,实证检验多主体协同对区域创新生态系统韧性的影响机制。研究发现,多主体协同显著增强了区域创新生态系统韧性,知识流动在其中起部分中介效应;异质性分析表明,经费支持力度、创新生态系统韧性、区域分布等在多主体协同影响区域创新生态系统韧性过程中存在异质性。根据以上结论,提出增强区域创新生态系统韧性的相关政策启示。

四川省区域协同创新网络体系研究——基于“一干多支,五区共兴”发展战略的思考

在创新驱动经济高质量发展的战略背景下,结合四川“一干多支,五区共兴”的区域协调发展布局,利用熵权法评估四川省各市(州)的创新能力,通过社会网络分析法对四川省创新协同网络进行分析,探究了区域协同创新体系建设的可行路径。研究结果表明:成都市是四川省的创新高地,成都平原整体的创新能力显著强于其他四区,存在明显的断层现象;四川省的创新能力呈现出“中心—边缘”的空间格局,成都市的极点效应辐射范围仅在成都平原内,未能同整个四川的创新系统融合;遂宁、南充、自贡等地的中介作用效果不佳,创新辐射的承接效果较差,未能有效带动四川地区创新能力的发展。基于此,提出要建立成都平原与各区间完备的创新互动机制;强化成都辐射,重视中心节点的承接作用;立足区域特点,促进特色发展;促进创新资源有效配置,实现区域创新一体化发展等政策建议。