随着技术迅猛发展,以其为纽带的产业关联表现出高度复杂化,影响因素也呈现多元化,并逐渐成为学术界研究的热点领域,但现有研究缺乏从技术视角对产业关联影响因素进行系统性分析。以3D打印技术相关产业为例.利用专利引文数据计算产业关联强度,建立产业关联强度与研发投入、研发机构、研发人员、市场容量之间的VAR模型。对模型进行Granger因果关系检验、脉冲响应函数分析和方差分解等实证检验,结果表明产业关联强度受自身及其余四个因素影响,且影响具有一定持续性,不同因素对产业关联的影响程度存在较大差异性。
With the rapid development of technology, industry correlation using technology as the link shows high complexity. The in- fluencing factors of industry correlation are complicated and gradually becoming a hot academic research field. But existing researches lack the systematic analysis of the influencing factors of industry correlation from the perspectives of technology. It took the 3D printing related industries as an example, used patent citation data to compute industry correlation strength, and built the VAR model that in- cluded the factors of industry correlation strength, R&D investment, R&D organization, R&D stuff and market capacity. It conducted Granger causality test, impulse response, and variance decomposition analysis to the model. The empirical results showed that the vola- tility of the industry correlation was influenced by itself and other four factors. This effect was of certain continuity, but the influences of different factors on the industrial correlation degree had a great difference.