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作 者:程翔[1] 简苏尔·居来提 杨宜 CHENG Xiang;JULAITI Jiansuer;YANG Yi(Beijing Union University,Beijing 100101;Beijing College of Finance and Commerce,Beijing 101126)
机构地区:[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
出 处:《经济与管理研究》2023年第10期90-108,共19页Research on Economics and Management
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)。
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
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