知识寻求、知识积累与价值创造——基于高技术产业的门槛效应  

Knowledge seeking,knowledge accumulation,and value creation:Threshold effect based on the high-tech industry

作　　者：王丹[1] 李柏洲[1] WANG Dan;LI Baizhou(School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

机构地区：[1]哈尔滨工程大学经济管理学院,黑龙江哈尔滨150001

出　　处：《哈尔滨工程大学学报》2022年第3期444-450,共7页Journal of Harbin Engineering University

基　　金：国家社会科学基金后期资助重点项目(19FGLA001).

摘　　要：为实现高技术产业价值创造最大化,基于2009—2019年我国24个省市的高技术产业动态面板数据,本文建立了非线性面板门槛回归模型,探究知识积累作为门槛变量下,高技术产业知识寻求对价值创造的影响。研究结果表明:高技术产业知识寻求对价值创造的作用模型中,知识积累存在双重门槛效应;随着高技术产业知识积累门槛水平的逐渐提升,知识寻求对价值创造的作用系数和作用方向均逐渐发生变化,由显著的负向作用效果向显著的正向作用效果转变。而对于历年知识积累不同门槛区间省市变化情况,处于低知识积累门槛值的省市数量在逐渐减少,处于中高知识积累门槛值的省市数量逐渐增加。研究结果以期为高技术产业更好地实现价值创造提供理论依据和建议参考。To achieve the maximization of the value creation of the high-tech industry,based on the high-tech industry dynamic panel data of 24 provinces and cities in China from 2009 to 2019,we established a nonlinear panel threshold regression model to explore the impact of knowledge seeking on the value creation of the high-tech industry under the threshold of knowledge accumulation.The research results show that in the knowledge seeking model on the value creation of the high-tech industry,knowledge accumulation has a double-threshold effect.Moreover,with the improvement of the knowledge accumulation level,the coefficient and direction of the effect of knowledge seeking on value creation are gradually changing from a significant negative effect to a significant positive effect.Regarding the changes in the provinces and cities with different thresholds for knowledge accumulation over the years,the number of provinces and cities with low knowledge accumulation is gradually decreasing,and that with medium and high knowledge accumulations is gradually increasing.The research results are expected to provide a theoretical basis and suggestions for the high-tech industry to realize value creation better.

关 键 词：知识寻求 知识积累 价值创造 高技术产业 门槛效应 双重门槛 门槛估计值 异质性分析 

分 类 号：F273.1[经济管理—企业管理]