我国产业链与创新链融合度评价及影响因素时空差异研究  

Evaluation of the Integration of Industrial Chain and Innovation Chain and Analysis of Spatial and Temporal Differences in Inf luencing Factors

作　　者：刘珂 赵明雪 Liu Ke;Zhao Mingxue

机构地区：[1]郑州轻工业大学经济与管理学院,郑州450002

出　　处：《区域经济评论》2024年第3期70-78,共9页Regional Economic Review

基　　金：国家社会科学基金项目“我国产业链与创新链深度融合的理论逻辑、实现机制与实践路径研究”(22BJY103)。

摘　　要：加快推动产业链与创新链深度融合,是实现我国经济高质量发展的关键所在。构建产业链与创新链融合度指标体系,采用复合系统协同度模型测算2017-2021年全国31个省份的产业链与创新链融合度,借助GWR模型找出影响“双链”融合度的关键影响因素,并对其空间差异性进行分析。研究发现,当前全国“双链”融合度呈波动性上升趋势,总体表现为东高西低;研究期内,我国“双链”融合度存在显著的空间相关性,热点区从东部沿海地区向中部地区转移;人均GDP、外商直接投资、交通基础设施水平、政府治理水平和人口密度是“双链”融合度的主要影响因素,且均为正向影响。Accelerating the deep integration of industrial chain and innovation chain is the key to realizing the high-quality development of China's economy.In this paper,we constructed the index system of the integration degree of industrial chain and innovation chain,used the composite system synergy model to measure the integration degree of industrial chain and innovation chain of 31 provinces and municipalities in China from 2017 to 2021,found out the key influencing factors affecting the integration degree of the“dual-chain”with the help of the GWR model,and analyzed the spatial variability of the factors.The study finds that the current national“dual-chain”integration degree shows a fluctuating upward trend,and the overall performance is high in the east and low in the west;during the study period,there is a significant spatial correlation between the“dual-chain”integration degree of China,with the hot spot area shifting from the eastern coastal area to the central area.GDP per capita,foreign direct investment,level of transportation infrastructure,degree of government management and population density are the main factors influencing the degree of integration of the“dual-chain”,and all of them are positively influenced.

关 键 词：产业链 创新链 融合度 复合系统协同度模型 GWR模型 

分 类 号：F211[经济管理—国民经济]