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作 者:刘灿雷 姜丽 张静[1] LIU Canlei;JIANG Li;ZHANG Jing(Academy of China Open Economy Studies,Institute of International Economy,University of International Business and Economics;School of Economics,Renmin University of China)
机构地区:[1]对外经济贸易大学国家对外开放研究院国际经济研究院 [2]中国人民大学经济学院
出 处:《数量经济技术经济研究》2024年第9期155-177,共23页Journal of Quantitative & Technological Economics
基 金:对外经济贸易大学中央高校基本科研业务费专项资金(22QN02)的资助。
摘 要:技术转让是企业间知识溢出的有效途径,对激发企业创新活力具有重要意义。本文构建了一个包含创新表现、技术转让行为以及经营特征信息的企业层面数据集,利用双重差分法实证考察了企业间技术转让对受让企业创新表现的影响。本文研究表明,企业间技术转让显著提升了受让企业的创新表现,即与从未接受过专利转让的企业相比,企业在接受其他企业专利转让后,其创新数量、质量和综合表现都更加突出,动态效应检验、工具变量法等一系列稳健性检验均表明核心结论具有可信性。通过对企业间技术转让后受让企业创新数量和质量增长具体来源的考察,本文发现企业间技术转让显著提升了受让企业创新数量的集约边际、扩展边际和技术领域的创新中心性。机制分析结果表明,企业间技术转让可以通过知识溢出效应改善受让企业的创新表现,但也受到双方企业是否处在相同城市、相同行业或者相同技术领域的影响。进一步分析表明,企业间技术转让将显著提高受让企业的经营绩效。The technology market is a key channel for allocating innovation resources and enhancing the diffusion of innovation outcomes.It also serves as an important link in promoting the integration of technological innovation with economic and social development.As firms play pivotal roles in both technological innovation activities and technology market transactions,they are imperative to driving innovation.This study explores how inter-firm technology transfers can contribute to building a national innovation system in China,thereby fostering the prosperity and development of technological innovation.Based on Chinese patent data from the IncoPat global patent database and Chinese firm data from the Chinese Annual Survey of Industrial Firms from 1998 to 2013,we constructed a comprehensive firm-level dataset that includes the innovation performance,technology transfer activities,and operational characteristics of firms.By identifying inter-firm technology transfers through patent assignee information and related innovation metrics,we empirically examined the impact of these transfers on the innovation performance of recipient firms and the underlying mechanisms.Identifying the causal effect of technology transfer on firm innovation is challenging due to the endogenous decision of whether to engage in technology transfer.To address this,we employed a difference-in-differences(DID)approach,comparing the innovation performance of firms that received patent transfers(treatment group)with those that did not(control group).The analysis includes balancing the data as much as possible,conducting dynamic effects tests using event study methods,and constructing instrumental variables to address potential endogeneity issues.Robustness checks further enhance the reliability of the causal identification results.We find that inter-firm technology transfers significantly enhance the innovation performance of recipient firms.Compared with firms that have never received patent transfers,those that received had considerable improvements
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