|
|
Research on the Impact of Innovation Factor Flow on Synergetic Innovation of Urban Agglomeration |
Li Lin,Liu Rui |
(School of Economics and Trade,Hunan University,Changsha 410012, China) |
|
|
Abstract Based on the panel data of 41 cities in the Yangtze River Delta urban agglomeration and the middle reaches of the Yangtze River from 2006 to 2017, this paper first measures the level of synergetic innovation of the two urban agglomerations by using the extended DEA method, and then establishes a spatial econometric model to empirically examine the impact of the flow of innovation factors on the synergetic innovation of urban agglomerations. Further, taking the level of Internet development as the threshold variable, this paper constructs a threshold model to explores whether the level of Internet development has a threshold effect on the synergetic innovation effect of innovation factor flow in urban agglomeration. The results show that the total effect of innovation factor flow on synergetic innovation of urban agglomerations is significantly positive, the positive spatial spillover effect is obvious, and there are differences between groups; in the two urban agglomerations, the impact of innovation factor flow on synergetic innovation of urban agglomerations is non-linear, and the impact of innovative personnel flow on synergetic innovation of urban agglomerations is “inverted u-shaped”.The impact of innovative capital flow on synergistic innovation of urban agglomerations is “u-shaped”, and the inflection points are heterogeneous in different urban agglomerations.
|
Received: 21 March 2020
|
|
|
|
|
[1]高丽娜,宋慧勇,张惠东.城市群协同创新形成机理及其对系统绩效的影响研究[J].江苏师范大学学报(哲学社会科学版),2018(1).[2]COWAN R,JONARD N,ZIMMERMANN J B.Bilateral collaboration and the emergence of innovation networks[J].Management Science,2007,53(7):1051-1067.[3]FISCHER S T.Collaborative innovation in ubiquitous systems[J].Journal of Intelligent Manufacturing,2007,18(5):599-615.[4]王卫东.长三角城市群协同创新发展机制研究[J].企业经济,2011(12):125-128.[5]崔新健,崔志新.多区域协同创新演化路径研究——构建3×3区域协同创新模式[J].经济社会体制比较,2018(5).[6]水常青,郑刚,许庆瑞.影响中国大中型工业企业协同创新要素的实证研究[J].科学学与科学技术管理,2004,25(12):44-48.[7]解学梅.企业协同创新影响因素与协同程度多维关系实证研究[J].科研管理,2015,36(2):69-78.[8]白俊红,卞元超.政府支持是否促进了产学研协同创新[J].统计研究,2015,32(11):43-50.[9]毛磊,谢富纪,凌峰.多维邻近视角下跨区域协同创新影响因素实证研究[J].科技进步与对策,2017,34(8):37-44.[10]李星宇,曹兴,马慧.长株潭地区新兴技术企业间协同创新影响因素与机制研究[J].经济地理,2017,37(6):122-128.[11]戴小勇.资源错配视角下全要素生产率损失的形成机理与测算[J]. 当代经济科学, 2018(5):103-116.[12]张杰,周晓艳,李勇.要素市场扭曲抑制了中国企业R&D[J].经济研究,2011(8):78-91.[13]白俊红,卞元超.要素市场扭曲与中国创新生产的效率损失[J].中国工业经济,2016(11):39-55.[14]戴魁早,刘友金.要素市场扭曲与创新效率——对中国高技术产业发展的经验分析[J].经济研究,2016(7).[15]邵汉华,钟琪.研发要素空间流动与区域协同创新效率[J].软科学,2018,32(11).[16]熊励,孙文灿.“互联网+”背景下创新要素流动对城市能级提升的动力机制研究——以上海数据和模型仿真为例[J].科技进步与对策,2016,33(20):43-49.[17]张旭亮,史晋川,李仙德,等.互联网对中国区域创新的作用机理与效应[J].经济地理,2017,37(12):129-137.[18]AUDRETSCH D B,FELDMAN M P.R&D spillovers and the geography of innovation and production[J]. American Economic Review,1996,86(3):630-640.[19]王钺,白俊红,张煜晖.研发人员的流动是否促进了地区创新的收敛[J].情报杂志,2016,35(3):195-202.[20]王钺,白俊红.资本流动与区域创新的动态空间收敛[J].管理学报,2016, 13(9):1374-1382.[21]杨省贵,顾新.区域创新体系间创新要素流动研究[J].科技进步与对策,2011, 28(23):60-65.[22]郝寿义,安虎森.区域经济学[M]北京:经济科学出版社,2015.[23]李琳,龚胜.长江中游城市群协同创新度动态评估与比较[J].科技进步与对策,2015,32(23):118-124.[24]党兴华,弓志刚.多维邻近性对跨区域技术创新合作的影响——基于中国共同专利数据的实证分析[J].科学学研究,2013,31(10):1590-1600.[25]穆东,杜志平.系统协同发展程度的DEA评价研究[J].运筹与管理,2005,14(1):75-81.[26]李琳,吴珊.基于DEA的我国区域经济协同发展水平动态评价与比较[J].华东经济管理,2014(1):65-68.[27]白俊红,王钺,蒋伏心,等.研发要素流动、空间知识溢出与经济增长[J].经济研究,2017(7):111-125.[28]王钺,刘秉镰.创新要素的流动为何如此重要——基于全要素生产率的视角[J].中国软科学,2017(8):91-101.[29]孙早,刘李华,孙亚政.市场化程度、地方保护主义与R&D的溢出效应——来自中国工业的经验证据[J].管理世界,2014(8):78-89.[30]卞元超,吴利华,白俊红.高铁开通、要素流动与区域经济差距[J].财贸经济,2018,39(6):149-163.[31]HANSEN B E.Threshold effects in non-dynamic panels: estimation,testing, and inference[J]. Econ. ,1993,93:345-368.[32]王曙光.互联网金融带来的变革[J].中国金融家,2013(12):95-96.[33]熊小刚.“中三角”跨区域创新系统的协同发展研究[J].中国科技论坛,2014(4):39-44.[34]张绍丽,郑晓齐,张辉.互联网环境下国家“开放-共享-协同”创新体系研究[J].科技进步与对策,2016,33(19):1-7.[35]李琳,刘琛.互联网、禀赋结构与长江经济带工业绿色全要素生产率——基于三大城市群108个城市的实证分析[J].华东经济管理,2018,32(7):7-13. |
|
|
|