创新要素流动能否促进地区制造业结构优化——理论解析与实证检验
|
摘要
在理论阐述创新要素流动对制造业结构优化的作用机理及依赖条件的基础上,利用2000—2016年省际面板数据,采用空间计量分析方法,实证检验R&D人员和R&D资本流动对制造业结构优化的影响,以及相应的影响机制与效应。研究发现,整体上,地区间制造业结构优化存在显著的空间相关效应,且受此效应的作用,两类创新要素在区际间的流动显著促进了地区制造业结构合理化和高度化。影响机制检验表明,R&D人员流动可以通过刺激消费需求和"倒逼"制度变革间接加速制造业结构优化,而R&D资本流动仅通过消费需求这个中介变量,促进了制造业结构优化;此外,创新要素区际流动对制造业结构优化的推进作用还高度依赖于各地区的技术市场发展水平和政府支持程度。
This paper first analyzed the reason why innovation Factors Flow can affect structural optimization of manufacturing industry in theory.It then used the panel data of provinces from 2000 to 2016 in China and the spatial econometric method to empirically test the impact of the interregional flow of R&D person and R&D capital on structural optimization of manufacturing industry,and the influence mechanism and effect.The results show that the regional optimization of manufacturing structure has spatial correlation effect obviously,and the R&D elements' mobility could significantly make a positive effect on regional rationalization and upgrading of manufacturing structure.The path test shows that the interregional flow of R&D person has promoted optimization of manufacturing industry through stimulating consumer demand and forcing institutional reform,while the interregional flow of R&D person has promoted optimization of manufacturing industry only through stimulating consumer demand.In addition,the impact of the interregional flow of R&D person and R&D capital on structural optimization of manufacturing industry is also highly dependent on the level of technological market development and government support.
This paper first analyzed the reason why innovation Factors Flow can affect structural optimization of manufacturing industry in theory.It then used the panel data of provinces from 2000 to 2016 in China and the spatial econometric method to empirically test the impact of the interregional flow of R&D person and R&D capital on structural optimization of manufacturing industry,and the influence mechanism and effect.The results show that the regional optimization of manufacturing structure has spatial correlation effect obviously,and the R&D elements' mobility could significantly make a positive effect on regional rationalization and upgrading of manufacturing structure.The path test shows that the interregional flow of R&D person has promoted optimization of manufacturing industry through stimulating consumer demand and forcing institutional reform,while the interregional flow of R&D person has promoted optimization of manufacturing industry only through stimulating consumer demand.In addition,the impact of the interregional flow of R&D person and R&D capital on structural optimization of manufacturing industry is also highly dependent on the level of technological market development and government support.
引文
[1]白俊红,蒋伏心.协同创新、空间关联与区域创新绩效[J].经济研究,2015,50(7):174-187.
[2]BROEKEL T,GRAF H.Structural properties of cooperation networks in Germany:from basic to applied research:Jena Economic Research Papers 2010-078[R].[S.l.]:Friedrich Schiller University Jena,2010.
[3]ALMEIDA P,KOGUT B.Localization of knowledge and the mobility of engineers in regional networks[J].Management Science,1999,45(7):905-917.
[4]FREEMAN C,SOETE L.The economics of industrial innovation[M].Cambridge,MA:MITPress,1997.
[5]郑新立.自主创新是实现产业升级的中心环节[J].求是,2010(2):21-24.
[6]ALTENBURG T,SCHMITZ H,STAMM A.Breakthrough China’s and India’s transition from production to innovation[J].World Development,2008,36(2):325-344.
[7]付宏,毛蕴诗,宋来胜.创新对产业结构高级化影响的实证研究---基于2000-2011年的省际面板数据[J].中国工业经济,2013(9):56-68.
[8]储德银,张同斌.自主研发、技术引进与高新技术产业成长[J].科研管理,2013,34(11):53-60+113.
[9]蔡玉蓉,汪慧玲.创新投入对产业结构升级的影响机制研究---基于分位数回归的分析[J].经济问题探索,2018(1):138-146.
[10]徐珊,刘笃池,梁彤缨.大企业创新投入驱动区域产业升级效应研究[J].科学学与科学技术管理,2016,37(10):38-48.
[11]周振华,韩汉君.流量经济及其理论体系[J].上海经济研究,2002(1):21-31.
[12]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,2017,52(7):109-123.
[13]卓乘风,邓峰.创新要素流动与区域创新绩效---空间视角下政府调节作用的非线性检验[J].科学学与科学技术管理,2017,38(7):15-26.
[14]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.
[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):120-123+129.
[16]高素英,钦彦祥,张烨.创新投入影响产业结构优化升级路径分析---基于本地效应与多元空间溢出效应[J].科技进步与对策,2017,34(19):60-67.
[17]阳立高,龚世豪,韩峰.劳动力供给变化对制造业结构优化的影响研究[J].财经研究,2017,43(2):122-134.
[18]傅元海,叶祥松,王展祥.制造业结构优化的技术进步路径选择---基于动态面板的经验分析[J].中国工业经济,2014(9):78-90.
[19]杨天宇,陈明玉.消费升级对产业迈向中高端的带动作用:理论逻辑和经验证据[J].经济学家,2018(11):48-54.
[20]YOUNG A A.Increasing returns and economic progress[J].Economic Journal,1928,38(152):527-542.
[21]蔡海亚,徐盈之.贸易开放是否影响了中国产业结构升级?[J].数量经济技术经济研究,2017,34(10):3-22.
[22]ACEMOGLU D,ROBINSON J A,VERDIER T.Can't we all be more like Scandinavians?Asymmetric growth and institutions in an interdependent world:NBER Working Paper,No.18441[R].[S.l.:s.n.],2012.
[23]叶祥松,刘敬.政府支持、技术市场发展与科技创新效率[J].经济学动态,2018(7):67-81.
[24]ARROW K J.The economic implications of learning by doing[J].Review of Economic Studies,1962,29(3):155-173.
[25]REY S J,MONTOURI B D.US regional income convergence:a spatial econometric perspective[J].Regional Studies,1999,33(2):143-156.
[26]FINGLETON B,GALLO J L.Estimating spatial models with endogenous variables,a spatial lag and spatially dependent disturbances:finite sample properties[J].Regional Science Review,2008,87(3):319-339.
[27]于斌斌.产业结构调整与生产率提升的经济增长效应---基于中国城市动态空间面板模型的分析[J].中国工业经济,2015(12):83-98.
[28]傅元海,叶祥松,王展祥.制造业结构变迁与经济增长效率提高[J].经济研究,2016,51(8):86-100.
[29]BERGSTRAND J H.The gravity equation in international trade:some microeconomic foundations and empirical evidence[J].Review of Economics and Statistics,1985,67(3):474-481.
[30]ANDERSON J E,VAN WINCOOP E.Gravity with gravitas:a solution to the border puzzle[J].American Economic Review,2003,93(1):170-192.
[31]吴延兵.R&D存量、知识函数与生产效率[J].经济学(季刊),2006(3):1129-1156.
[32]ANSELIN L.Spatial econometrics:methods and models[M].Dordrecht:Kluwer Academic Publishers,1988.
[33]TOOLE A A.The impact of public basic research on industrial innovation:evidence from the pharmaceutical Industry[J].Research Policy,2012,41(1):1-12.
[34]BARON R M,KENNY D A.The moderator-mediator variable distinction in social psychological research:conceptual,strategic and statistical considerations[J].Journal of Personality and Social Psychology,1986,51(6):1173-1182.
[35]戴魁早.技术市场发展对出口技术复杂度的影响及其作用机制[J].中国工业经济,2018(7):117-135.
[36]李政,杨思莹.创新活动中的政府支持悖论:理论分析与实证检验[J].经济科学,2018(2):88-100.
[2]BROEKEL T,GRAF H.Structural properties of cooperation networks in Germany:from basic to applied research:Jena Economic Research Papers 2010-078[R].[S.l.]:Friedrich Schiller University Jena,2010.
[3]ALMEIDA P,KOGUT B.Localization of knowledge and the mobility of engineers in regional networks[J].Management Science,1999,45(7):905-917.
[4]FREEMAN C,SOETE L.The economics of industrial innovation[M].Cambridge,MA:MITPress,1997.
[5]郑新立.自主创新是实现产业升级的中心环节[J].求是,2010(2):21-24.
[6]ALTENBURG T,SCHMITZ H,STAMM A.Breakthrough China’s and India’s transition from production to innovation[J].World Development,2008,36(2):325-344.
[7]付宏,毛蕴诗,宋来胜.创新对产业结构高级化影响的实证研究---基于2000-2011年的省际面板数据[J].中国工业经济,2013(9):56-68.
[8]储德银,张同斌.自主研发、技术引进与高新技术产业成长[J].科研管理,2013,34(11):53-60+113.
[9]蔡玉蓉,汪慧玲.创新投入对产业结构升级的影响机制研究---基于分位数回归的分析[J].经济问题探索,2018(1):138-146.
[10]徐珊,刘笃池,梁彤缨.大企业创新投入驱动区域产业升级效应研究[J].科学学与科学技术管理,2016,37(10):38-48.
[11]周振华,韩汉君.流量经济及其理论体系[J].上海经济研究,2002(1):21-31.
[12]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,2017,52(7):109-123.
[13]卓乘风,邓峰.创新要素流动与区域创新绩效---空间视角下政府调节作用的非线性检验[J].科学学与科学技术管理,2017,38(7):15-26.
[14]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.
[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):120-123+129.
[16]高素英,钦彦祥,张烨.创新投入影响产业结构优化升级路径分析---基于本地效应与多元空间溢出效应[J].科技进步与对策,2017,34(19):60-67.
[17]阳立高,龚世豪,韩峰.劳动力供给变化对制造业结构优化的影响研究[J].财经研究,2017,43(2):122-134.
[18]傅元海,叶祥松,王展祥.制造业结构优化的技术进步路径选择---基于动态面板的经验分析[J].中国工业经济,2014(9):78-90.
[19]杨天宇,陈明玉.消费升级对产业迈向中高端的带动作用:理论逻辑和经验证据[J].经济学家,2018(11):48-54.
[20]YOUNG A A.Increasing returns and economic progress[J].Economic Journal,1928,38(152):527-542.
[21]蔡海亚,徐盈之.贸易开放是否影响了中国产业结构升级?[J].数量经济技术经济研究,2017,34(10):3-22.
[22]ACEMOGLU D,ROBINSON J A,VERDIER T.Can't we all be more like Scandinavians?Asymmetric growth and institutions in an interdependent world:NBER Working Paper,No.18441[R].[S.l.:s.n.],2012.
[23]叶祥松,刘敬.政府支持、技术市场发展与科技创新效率[J].经济学动态,2018(7):67-81.
[24]ARROW K J.The economic implications of learning by doing[J].Review of Economic Studies,1962,29(3):155-173.
[25]REY S J,MONTOURI B D.US regional income convergence:a spatial econometric perspective[J].Regional Studies,1999,33(2):143-156.
[26]FINGLETON B,GALLO J L.Estimating spatial models with endogenous variables,a spatial lag and spatially dependent disturbances:finite sample properties[J].Regional Science Review,2008,87(3):319-339.
[27]于斌斌.产业结构调整与生产率提升的经济增长效应---基于中国城市动态空间面板模型的分析[J].中国工业经济,2015(12):83-98.
[28]傅元海,叶祥松,王展祥.制造业结构变迁与经济增长效率提高[J].经济研究,2016,51(8):86-100.
[29]BERGSTRAND J H.The gravity equation in international trade:some microeconomic foundations and empirical evidence[J].Review of Economics and Statistics,1985,67(3):474-481.
[30]ANDERSON J E,VAN WINCOOP E.Gravity with gravitas:a solution to the border puzzle[J].American Economic Review,2003,93(1):170-192.
[31]吴延兵.R&D存量、知识函数与生产效率[J].经济学(季刊),2006(3):1129-1156.
[32]ANSELIN L.Spatial econometrics:methods and models[M].Dordrecht:Kluwer Academic Publishers,1988.
[33]TOOLE A A.The impact of public basic research on industrial innovation:evidence from the pharmaceutical Industry[J].Research Policy,2012,41(1):1-12.
[34]BARON R M,KENNY D A.The moderator-mediator variable distinction in social psychological research:conceptual,strategic and statistical considerations[J].Journal of Personality and Social Psychology,1986,51(6):1173-1182.
[35]戴魁早.技术市场发展对出口技术复杂度的影响及其作用机制[J].中国工业经济,2018(7):117-135.
[36]李政,杨思莹.创新活动中的政府支持悖论:理论分析与实证检验[J].经济科学,2018(2):88-100.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |