摘要
本文从制造业技术创新、文化创新和制度创新3个要素的创新成果进行研究,通过VAR模型(自回归模型)分析制造业中创新要素的协同度,使用DEA-BCC模型对比分析3种创新要素各自对制造业转型升级的促进效率。研究发现:技术创新、文化创新和制度创新各自都对制造业创新和发展具有较高的促进效率,同时三者之间存在互相带动效应,因此通过促进制造业创新要素协同发展可以有效推动产业升级。本文基于品牌竞争力视角下制造业创新要素协同创新内涵和机理,对制造业转型升级的政策规划具有重要的启示作用。
This paper studied the innovation achievements of manufacturing technological innovation,cultural innovation and institutional innovation.The synergy degree of innovation elements in the manufacturing industry was analyzed through the VAR model(autoregressive model).Then the DEA-BCC model was used to compare and analyze the promotion efficiency of the three innovative factors to manufacturing transformation and upgrading.It found that:technological innovation,cultural innovation and institutional innovation had higher promotion efficiency on innovation and development of manufacturing industry respectively.Moreover,there were mutual driving effects among the three factors.Therefore,by promoting the coordinated development of manufacturing innovation factors,innovation and transformation of manufacturing industry could be effectively promoted.This paper studied the connotation and mechanism of collaborative innovation of manufacturing innovation factors from the perspective of brand competitiveness,which had important implications for the policy planning of manufacturing transformation and upgrading.
作者
熊励
郑慧娴
Xiong Li;Zheng Huixian(School of Management,Shanghai University,Shanghai 200444,China)
出处
《工业技术经济》
CSSCI
北大核心
2020年第3期20-29,共10页
Journal of Industrial Technological Economics
基金
上海市教委智库建设项目“上海制造业转型升级中技术创新、制度创新与文化创新的竞争生态联动发展的案例研究”(2019宣传1-2-37)
关键词
制造业转型升级
品牌竞争力
创新要素协同
创新成果
VAR模型
DEA-BCC模型
manufacturing transformation and upgrading
brand competitiveness
innovation factors synergy
innovation achievements
VAR model
DEA-BCC model