基于LMDI模型的中国高技术产业创新产出变化的驱动效应分析  

Driving Effect Analysis on Innovation Output Change of China's High-Tech Industry Based on LMDI Approach

作　　者：刘志迎[1] 王露敏 LIU Zhi-ying;WANG Lu-min(School of Management,University of Science and Technology of China,Hefei 230026,China)

机构地区：[1]中国科学技术大学管理学院,安徽合肥230026

出　　处：《数学的实践与认识》2024年第7期1-14,共14页Mathematics in Practice and Theory

基　　金：国家自然科学基金面上项目“企业二元创新战略下资源配置与开放获取整合机制研究”(72072167)。

摘　　要：基于扩展的Kaya恒等式与LMDI分解法,测算了中国2000-2018年3个省市高技术产业创新产出的驱动因素及其贡献.首先从全国层面分析了创新投入强度、创新效率与区域经济结构对高技术产业创新产出的影响其次基于区域视角,将中国划分为四大区域:东部、中部、西部和东北部,并分别探讨了不同驱动因素的影响差异。结果表明,创新投入强度是推动高技术产业创新产出正向变化的强大动力,而创新效率与区域经济结构则起负向作用,其中创新效率的抑制作用更强。同时各驱动因素在四个区域的影响也存在较大差异.最后针对中国高技术产业创新发展现状提出相关建议.Based on the extended Kaya identity and LMDI decomposition method,this study identifies the driving factors and their corresponding contributions in the innova-tion output of high-tech industries of 30 Chinese provincial-level regions during the period 2000-2018.The innovation output is decomposed into the innovation input intensity effect,innovation eficiency effect and regional economic structure effect according to the driving mechanism.The results indicate that the innovation input intensity contributes the most to innovation output.The effects of innovation efficiency and regional economic structure are negative.This study further analyzes four major economic areas of China and identifies the channels through which each area conducts their innovation activities.The empirical findings provide information for policy measures to implement innovation-driven strategies.

关 键 词：创新 高技术产业 区域发展差距 对数平均迪氏指数法(LMDI) 

分 类 号：F276.44[经济管理—企业管理] F224[经济管理—国民经济]