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作 者:梁杰 段圆圆 赵龙峰 Liang Jie;Duan Yuanyuan;Zhao Longfeng(School of Management,Xi'an Polytechnic University,Xi'an 710048,China;School of Management,Northwestern Polytechnical University,Xi'an 710072,China)
机构地区:[1]西安工程大学管理学院,陕西西安710048 [2]西北工业大学管理学院,陕西西安710072
出 处:《创新科技》2023年第8期56-68,共13页Innovation science and technology
基 金:教育部人文社会科学青年基金项目“研发联盟多类型伙伴的资源对企业创新的影响研究:基于协同或冲突的观点”(19YJC630093);陕西省哲学社会科学研究专项青年项目“数字化转型背景下企业研发联盟的地理选择及创新效果研究”(2023QN0122)。
摘 要:针对现有文献中关于合作伙伴地理距离研究的局限性,探讨了地理距离的两个内在维度(多伙伴地理距离均值和多伙伴地理距离断层)对企业突破性创新绩效的影响,以及企业所处地理区域的调节作用。选取我国医药制造行业46家上市公司2007一2020年的研发联盟数据,采用非平衡面板数据的负二项回归分析模型进行实证分析,结果表明:多伙伴地理距离均值和多伙伴地理距离断层均对企业突破性创新绩效有正向影响;企业所处地理区域接近西部地区,能对多伙伴地理距离均值与突破性创新绩效的关系有积极影响;企业所处地理区域接近西部地区,会对多伙伴地理距离断层与突破性创新绩效的关系有消极影响。通过将多伙伴研发联盟作为研究对象,探讨了多伙伴地理距离均值和断层对企业突破性创新绩效的影响机理和作用效果,丰富和发展了关于联盟合作对创新绩效影响研究的理论框架。研究响应了当前我国协同创新的需求,对中国企业创建和管理包含多种类伙伴的研发联盟具有重要的现实意义。Since the 19th CPC National Congress,there has been a strong emphasis on the im-portance of"strengthening collaborative innovation and guiding various elements of innovation to converge on enterprises".The report to the 2Oth National Congress of the Communist Party of China pointed out that"Science and technology are the primary productive forces,human re-sources are the primary resources,and innovation is the primary driving force."Therefore,it is crucial to promote innovation in China through enterprise-led multi-participation R&D alli-ances at the present stage.However,the innovation effect of the alliance depends on the"deep integration"between the multi-partners.In particular,as the geographical distance between the enterprise and the multi-partners is an important factor affecting the output of the alliance,how to select the multi-partner combination with different geographical distances is particularly im-portant for the innovation performance of the enterprise.By combing domestic and foreign literature on the relationship between geographical dis-tance,R&D alliance and enterprise innovation performance,the definition of related concepts and the relationship and influence between variables are clarified.On the basis of theoretical analysis,this study selects the R&D alliance data of 46 listed companies in the Chinese pharma-ceutical manufacturing industry from 2007 to 2020,uses statal4 and excel software for data pro-cessing and empirical analysis,and adopts the negative binomial regression analysis model for unbalanced panel data.To test the main effect of multi-partner geographic distance mean and geographic distance fault on firm innovation performance,and explore the moderating effect of firm geographic region.The empirical results of this study show that multi-partner geographic distance mean and geographic distance fault both promote firm innovation performance.The closer an enterprise is to the western region of China,the relationship between the mean geo-graphic distance of multiple partners and in
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