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作 者:赵昱[1,2] 朱列[3] 杨传喜[1,2] 蒙永亨[1,2] ZHAO Yu;ZHU Lie;YANG Chuan-xi;MENG Yong-heng(School of Management,Guilin University of Technology,Guilin 541004,China;Centre for Contemporary Enterprise Management Studies,Guilin University of Technology,Guilin 541004,China;Guangxi Institute of socialism,Nannnig 530007,China)
机构地区:[1]桂林理工大学管理学院,广西桂林541004 [2]桂林理工大学现代企业管理研究中心,广西桂林541004 [3]广西社会主义学院,南宁530007
出 处:《世界地理研究》2017年第4期134-143,共10页World Regional Studies
基 金:国家自然科学基金(41661030);国家自然科学基金(71463011);桂林理工大学现代企业管理研究中心专项课题(16YB002)
摘 要:基于经济普查数据,应用地理加权回归模型实证研究了中国区域创新来源因素对创新绩效影响的空间异质特征。结果发现当前中国区域创新主要来源是自主研发,国内技术引进和技术吸收对区域创新有正向作用,外国技术引进、出口、外国直接投资存在一定负效应。不同的省域,创新来源因素对创新绩效的影响存在空间异质。创新来源因素对区域创新的影响大体呈现从东部发达地区向西部后发地区梯度递减特征。在东、中部地区,自主研发成为主要创新来源因素,正效应显著;西部地区的创新来源除了自主研发,国内技术转移和吸收仍发挥重要作用,地理加权回归较好揭示了创新影响的空间异质特点。Based on Chinese economic census data,the geographic weightedregression model is used to study the influence of regional innovation sourcefactors on regional innovation performance and its spatial heterogeneity.Theresults show that the most important source of regional innovation in China isindigenous R&D.Among other sources of innovation,domestic technologytransfer and absorption also have positive effects on regional innovation.Effects of international technology transfer,export and FDI are generallynegative.In different provinces,the impacts of innovation factors on theregional innovation performance are spatially heterogeneous.The results ofgeographic weighted regression reveal that the spatial characteristics of theinfluence of innovation factors on regional innovation generally demonstrategradient transfer from the eastern developed regions to the western regions.In the eastern and central regions,indigenous R&D has become a major sourceof innovation,the role of which on regional innovation is more favorable andsignificant,while in the western region,innovation sources except for indigenousR&D,domestic technology transfer and absorption still play an importantrole.Geographic weighted regression method is proper tool to identifythe spatial heterogeneity of the effects.
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