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作 者:张同斌[1,2] 陈婷玉 ZHANG Tongbin;CHEN Tingyu(School of Economics,Dongbei University of Finance and Economics,Dalian 116025,China;Center of Econometric Analysis and Forecasting,Dongbei University of Finance and Economics,Dalian 116025,China)
机构地区:[1]东北财经大学经济学院,大连116025 [2]东北财经大学经济计量分析与预测研究中心,大连116025
出 处:《系统工程理论与实践》2020年第6期1596-1612,共17页Systems Engineering-Theory & Practice
基 金:国家社会科学基金(18FJY003);辽宁省"兴辽英才计划"青年拔尖人才项目(XLYC1907115)。
摘 要:基于投入产出模型和社会网络分析相结合的方法,分解了不同类型需求驱动中国制造业研发投入的模式,研究了网络特征在研发投入与创新产出关系中的调节作用.结论表明,技术密集型制造业的研发投入是国内最终需求和中间需求共同驱动的,资本密集型制造业的研发投入结构则为中间需求主导型.各类需求引致的研发投入均对中国制造业创新产出具有显著的促进作用,且贡献由高到低依次为国外最终需求、国内最终需求和中间需求,因此最终需求是驱动研发投入进而实现创新产出的主要动力.生产网络特征在研发推动创新产出中具有显著的中介效应,中心度与各类需求引致的研发投入交互促进了创新产出的增长,上游度限制了中间需求驱动的研发投入对创新产出贡献的发挥.Based on the combination of input-output model and social network analysis methods,in this paper,we decompose the R&D investment model driven by different types of demands in China's manufacturing,and discuss the intermediary role of network characteristics in terms of the relationship between the R&D investment and the innovation output.The results show that the R&D input of technology-intensive manufacturing industry is driven by both domestic final demand and intermediate demand,while the R&D input structure of capital-intensive manufacturing industry is dominated by intermediate demand.The R&D investments source from different types of demands significantly promote China's manufacturing innovation output,and the contributions from high to low are foreign final demands,domestic final demands and intermediate demands.Therefore,the final demand is the main force to drive R&D input and then achieve innovation output.As for R&D promoting the innovation output,production network characteristic variables exert significant intermediary effects.The centrality degree and various R&D investments mutually promote the growth of the innovation output.The upstream degree limits the contribution of R&D input driven by intermediate demand to innovation output.
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