详细信息
中国科技创新策源能力综合评价及时空演化特征研究
Comprehensive Evaluation and Spatial-temporal Evolution of China’s Sci-tech Creational and Original Innovation Capacity
文献类型:期刊文献
中文题名:中国科技创新策源能力综合评价及时空演化特征研究
英文题名:Comprehensive Evaluation and Spatial-temporal Evolution of China’s Sci-tech Creational and Original Innovation Capacity
作者:程翔[1];简苏尔·居来提[1];杨宜[2]
第一作者:程翔
机构:[1]北京联合大学管理学院,北京100101;[2]北京财贸职业学院,北京101126
第一机构:北京联合大学管理学院
年份:2023
卷号:44
期号:10
起止页码:90-108
中文期刊名:经济与管理研究
外文期刊名:Research on Economics and Management
收录:CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2020】;CSSCI:【CSSCI2023_2024】;
基金:北京市社会科学规划一般项目“大数据驱动下的北京市科技金融政策精准治理研究”(20JJB005)。
语种:中文
中文关键词:科技创新;科创策源能力;科创基础;科创投入;科创产出;科创开放;纵横向拉开档次法
外文关键词:sci-tech innovation;sci-tech creational and original innovation capacity;sci-tech innovation foundation;sci-tech innovation input;sci-tech innovation output;sci-tech innovation openness;vertical and horizontal gradation method
摘要:中国区域科技创新正向形成核心策源能力中心发展。本文基于科创策源能力的核心内涵,从科创基础、政策导向、科创投入、科创产出、科创开放5个角度设计36个三级指标,构建省级科创策源能力评价体系,运用二次加权的纵横向拉开档次法,对2012—2021年中国各省份科创策源能力进行动态评价,并利用探索性空间分析(ESDA)法对其时空特征进行探索。研究结果表明:(1)开放与投入对科创策源能力的影响较大,其中每十万人研发经费权重系数最高,政策导向整体影响偏小,其中以财政政策为主的直接创新政策影响权重最低;(2)各省份科创策源能力整体呈逐年上升趋势,但增速存在较大差异,表现为东快西慢;(3)科创策源能力空间分异明显,总体呈现东-中-西阶梯式递减、南高北低的空间分布格局,在空间依赖性上呈现出全局空间正相关性,而局部空间上形成南部高-高型聚集和西部低-低型集聚。
China’s regional sci-tech innovation is developing towards the formation of core creational and original capacity.From the connotation of sci-tech creational and original innovation capacity,36 three-tier indicators are designed to build a provincial evaluation system from five perspectives:sci-tech innovation foundation,policy orientation,sci-tech innovation input,sci-tech innovation output,and sci-tech innovation openness.Using the second-weighted vertical and horizontal gradation method,this paper conducts a dynamic evaluation of provincial sci-tech creational and original innovation capacity in China from 2012 to 2021.Then,it explores their spatial and temporal characteristics with the ESDA method.The marginal contributions are twofold.First,it considers the knowledge spillover effect of sci-tech innovation and the policy effect of incentivizing innovation activities.Adding the dimensions of openness and innovation policy,it constructs a comprehensive evaluation system reflecting the development of sci-tech creational and original innovation capacity in this decade.Second,it combines quantitative methods with qualitative analyses and uses the second-weighted vertical and horizontal gradation method to construct this evaluation system,quantify the creational and original capacity,and synthesize comprehensive indexes.Thirdly,it aims to study the spatial distribution and spatial and temporal evolution of China’s sci-tech creational and original innovation capacity and explore its spatial differentiation characteristics.The results are as follows.(1)Based on the weighting results of the vertical and horizontal gradation method,openness and inputs have a greater impact on the sci-tech creational and original innovation capacity.Specifically,the R&D expenditure per 100,000 people exhibits the highest weighting coefficient,followed by policy orientation and the direct innovation policy driven by fiscal measures.(2)China’s provincial sci-tech creational and original innovation capacity consistently exhibits an upward trend over the years,though with significant differences in the growth rates,characterized by a rapid pace in the eastern region and a slow pace in the western region.(3)The spatial differentiation is also obvious,exhibiting a gradual decrease from the eastern,central,and western regions,with higher levels observed in the southern region and lower levels in the northern region.Moreover,in terms of spatial dependence,there is a positive global spatial correlation,and the southern region exhibits a high-high concentration pattern while the western region shows a low-low concentration pattern.This paper enriches the evaluation index system of sci-tech creational and original innovation capacity,visualizes the causes of provincial sci-tech creational and original innovation capacity and its spatial distribution pattern,and proposes targeted countermeasures.
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