纺织服装产业创新绩效与创新能力影响因素研究——以宁波为例  

Research on the Influencing Factors of Innovation Performance and Innovation Ability of Textile and Apparel industry--Taking Ningbo as Example

在线阅读下载全文

作  者:魏明[1] WEI Ming(School of Business,Zhejiang Fashion Institute of Technology,Ningbo,Zhejiang 315211,China)

机构地区:[1]浙江纺织服装职业技术学院商学院,浙江宁波315211

出  处:《浙江纺织服装职业技术学院学报》2023年第1期5-12,共8页Journal of Zhejiang Fashion Institute of Technology

基  金:宁波市哲学社会科学规划项目(编号:G2022-2-75)。

摘  要:党的十八大将“创新驱动”提升为新时期的国家战略和高质量发展的第一动力。在此背景下,纺织服装产业进入集群化提质升级为主的发展新阶段。宁波作为中国最大的纺织服装产业基地之一,在全国纺织服装产业集群中具有代表性和典型性。本文以宁波纺织服装产业为研究对象,从典型指标入手梳理产业创新绩效,从集群内部运作机理入手构建结构方程模型探讨产业创新性影响因素。研究结果显示,宁波纺织服装产业创新绩效总体积极向好,产业集群的网络中心度、共享关系、品牌集聚性对产业创新性有显著正影响,且共享关系和品牌聚集性发挥着显著中介效应。The 18th CPC National Congress elevated"innovation-driven"to a national strategy in the new era and the primary driving force for high-quality development.In this context,the textile and apparel industry has entered a new stage of development with cluster improvement and upgrading.As one of the largest textile and apparel industry bases in China,Ningbo is representative and typical in the national textile and apparel industry cluster.This paper takes Ningbo textile and apparel industry as the research object,sorts out the industrial innovation performance from the typical indicators,and builds a structural equation model to explore the influencing factors of industrial innovation from the internal operation mechanism of the cluster.The results show that the innovation performance of Ningbo textile and apparel industry is positive on the whole.The network centrality,sharing relationship and brand agglomeration of industrial clusters have a significant positive impact on the industrial innovation,and sharing relationship and brand agglomeration play a significant intermediary effect.

关 键 词:纺织服装产业 产业集群 网络结构 结构方程 创新能力 

分 类 号:F426[经济管理—产业经济]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象