区域知识产权保护发展的空间格局及结构体系研究
|
摘要
以我国各省知识产权保护制度为研究对象,创新性地将探索性空间数据分析方法与社会网络分析方法相结合,基于地理邻近视角,验证了区域知识产权保护的空间相关性、空间集聚特征和空间溢出效应。同时,突破地理近邻效应的局限,解析区域知识产权保护的空间关联特征。结果表明:我国各省知识产权保护具有全局自相关性,相似地区间存在空间集聚效应,不同发展程度地区的空间关联性质不同;网络化后的区域知识产权保护各节点间联系紧密、网络结构稳定,并且可以确定核心行动者和边缘行动者角色;长三角、珠三角、环渤海等较发达地区与其它地区之间存在较多溢出关系。
Taking the intellectual property protection system of China's provinces as the research object,this paper innovatively combines exploratory spatial data analysis with social network analysis.It verified the spatial correlation,spatial agglomeration characteristics and spatial spillover effects of intellectual property protection based on the perspective of geographical proximity.The paper overcomes the limitations of cross-domain geographic neighbor effects,it analyzes the spatial correlation characteristics of intellectual property protection.The results show that:the protection of intellectual property rights in China's provinces has global autocorrelation.There is a spatial agglomeration effect between similar regions.The nature of spatial associations in regions with different degrees of development are also different.After the networking,the protection of regional intellectual property rights is closely linked with each other,and the network structure is stable.It can identify core actors and fringe actors.The result also shows that there are more spillovers in other developed areas such as the Yangtze River Delta,the Pearl River Delta and the Circum-Bohai-Sea region.
Taking the intellectual property protection system of China's provinces as the research object,this paper innovatively combines exploratory spatial data analysis with social network analysis.It verified the spatial correlation,spatial agglomeration characteristics and spatial spillover effects of intellectual property protection based on the perspective of geographical proximity.The paper overcomes the limitations of cross-domain geographic neighbor effects,it analyzes the spatial correlation characteristics of intellectual property protection.The results show that:the protection of intellectual property rights in China's provinces has global autocorrelation.There is a spatial agglomeration effect between similar regions.The nature of spatial associations in regions with different degrees of development are also different.After the networking,the protection of regional intellectual property rights is closely linked with each other,and the network structure is stable.It can identify core actors and fringe actors.The result also shows that there are more spillovers in other developed areas such as the Yangtze River Delta,the Pearl River Delta and the Circum-Bohai-Sea region.
引文
[1]顾晓燕.知识产权保护对发展中国家创新驱动的影响---一个文献研究的视角[J].学术月刊,2014(9):82-87.
[2]侯建,陈恒.高技术产业自主创新模式驱动专利产出机理研究---知识产权保护视角[J].科学学与科学技术管理,2016,37(10):63-73.
[3]王智新,梁翠.知识产权保护支撑创新驱动发展评价体系研究[J].科学管理研究,2018(5):12-14,27.
[4]SAKAKIBARA M,BRANSTETTER L.Do Stronger patents induce more innovation?evidence from the 1988Japanese patent law reforms[J].Rand Journal of Economics,2001,32(1):77-100.
[5]LEDERMAN D,MALONEY W F.R&D and development[R].World Bank Policy Research Working Paper,2007.
[6]ADKISSON R V.Intellectual property rights in the global economy[J].Journal of Economic Issues,2004,38(1):281-282.
[7]CHEN Y,PUTTITANUN T.Intellectual property rights and innovation in developing countries[J].Journal of Development Economics,2005,78(2):474-493.
[8]YANG G,MASKUS K E.Intellectual property rights,licensing,and innovation in an endogenous product-cycle model[J].Journal of International Economics,2001,53(1):169-187.
[9]杨明海,张红霞,孙亚男,等.中国八大综合经济区科技创新能力的区域差距及其影响因素研究[J].数量经济技术经济研究,2018(4):3-19.
[10]徐清.知识产权保护强度的空间分布及其决定因素---基于31个省(市)面板数据的空间计量研究[J].世界经济研究,2013(9):23-29.
[11]伦婉晴,王斌会,李雄英.基于空间视觉的中国区域知识产权产品发展收敛性分析[J].科技管理研究,2016,36(7):154-160.
[12]徐元,于洪平.新形势下实施外贸知识产权战略的思路与对策[J].中国软科学,2014(5):11-22.
[13]顾晓燕,史新和,刘厚俊.知识产权出口贸易与经济增长---基于创新溢出和要素配置的研究视角[J].国际贸易问题,2018(3):12-13.
[14]李平,宫旭红,齐丹丹.中国最优知识产权保护区间研究---基于自主研发及国际技术引进的视角[J].南开经济研究,2013(3):123-138.
[15]韩玉雄,李怀祖.关于中国知识产权保护水平的定量分析[J].科学学研究,2005,23(3):377-382.
[16]姚利民,饶艳.中国知识产权保护的水平测量和地区差异[J].国际贸易问题,2009(1):114-120.
[17]MORAN P A P.The interpretation of statistical maps[J].Journal of the Royal Statistical Society Series B(Statistical Methodology),1947,10(2).
[18]SCOTT J.Social network analysis[M].London:Sage Publication,2013.
[19]李敬,陈澍,万广华,等.中国区域经济增长的空间关联及其解释---基于网络分析方法[J].经济研究,2014(11):4-16.
[20]高波,任若恩.基于Granger因果网络模型的金融机构系统重要性评估[J].管理评论,2013,25(6).
[21]王越,王成云.长三角城市创新联系网络及辐射能力[J].经济地理,2018,38(9):130-137.
[22]刘华军,刘传明,孙亚男.中国能源消费的空间关联网络结构特征及其效应研究[J].中国工业经济,2015(5):83-95.
[23]FREEMAN L C.Centrality in social networks'conceptual clarification[J].Social Networks,1979,1(3):215-239.
[24]WHITE H C,BOORMAN S A,BREIGER R L.Social structure from multiple networks[M].Beijing:Foreign Languages Press,1976.
[25]WASSERMAN S,FAUST K.Social network analysis:methods and applications[M].Cambridge:Cambridge U-niversity Press,1994.
[2]侯建,陈恒.高技术产业自主创新模式驱动专利产出机理研究---知识产权保护视角[J].科学学与科学技术管理,2016,37(10):63-73.
[3]王智新,梁翠.知识产权保护支撑创新驱动发展评价体系研究[J].科学管理研究,2018(5):12-14,27.
[4]SAKAKIBARA M,BRANSTETTER L.Do Stronger patents induce more innovation?evidence from the 1988Japanese patent law reforms[J].Rand Journal of Economics,2001,32(1):77-100.
[5]LEDERMAN D,MALONEY W F.R&D and development[R].World Bank Policy Research Working Paper,2007.
[6]ADKISSON R V.Intellectual property rights in the global economy[J].Journal of Economic Issues,2004,38(1):281-282.
[7]CHEN Y,PUTTITANUN T.Intellectual property rights and innovation in developing countries[J].Journal of Development Economics,2005,78(2):474-493.
[8]YANG G,MASKUS K E.Intellectual property rights,licensing,and innovation in an endogenous product-cycle model[J].Journal of International Economics,2001,53(1):169-187.
[9]杨明海,张红霞,孙亚男,等.中国八大综合经济区科技创新能力的区域差距及其影响因素研究[J].数量经济技术经济研究,2018(4):3-19.
[10]徐清.知识产权保护强度的空间分布及其决定因素---基于31个省(市)面板数据的空间计量研究[J].世界经济研究,2013(9):23-29.
[11]伦婉晴,王斌会,李雄英.基于空间视觉的中国区域知识产权产品发展收敛性分析[J].科技管理研究,2016,36(7):154-160.
[12]徐元,于洪平.新形势下实施外贸知识产权战略的思路与对策[J].中国软科学,2014(5):11-22.
[13]顾晓燕,史新和,刘厚俊.知识产权出口贸易与经济增长---基于创新溢出和要素配置的研究视角[J].国际贸易问题,2018(3):12-13.
[14]李平,宫旭红,齐丹丹.中国最优知识产权保护区间研究---基于自主研发及国际技术引进的视角[J].南开经济研究,2013(3):123-138.
[15]韩玉雄,李怀祖.关于中国知识产权保护水平的定量分析[J].科学学研究,2005,23(3):377-382.
[16]姚利民,饶艳.中国知识产权保护的水平测量和地区差异[J].国际贸易问题,2009(1):114-120.
[17]MORAN P A P.The interpretation of statistical maps[J].Journal of the Royal Statistical Society Series B(Statistical Methodology),1947,10(2).
[18]SCOTT J.Social network analysis[M].London:Sage Publication,2013.
[19]李敬,陈澍,万广华,等.中国区域经济增长的空间关联及其解释---基于网络分析方法[J].经济研究,2014(11):4-16.
[20]高波,任若恩.基于Granger因果网络模型的金融机构系统重要性评估[J].管理评论,2013,25(6).
[21]王越,王成云.长三角城市创新联系网络及辐射能力[J].经济地理,2018,38(9):130-137.
[22]刘华军,刘传明,孙亚男.中国能源消费的空间关联网络结构特征及其效应研究[J].中国工业经济,2015(5):83-95.
[23]FREEMAN L C.Centrality in social networks'conceptual clarification[J].Social Networks,1979,1(3):215-239.
[24]WHITE H C,BOORMAN S A,BREIGER R L.Social structure from multiple networks[M].Beijing:Foreign Languages Press,1976.
[25]WASSERMAN S,FAUST K.Social network analysis:methods and applications[M].Cambridge:Cambridge U-niversity Press,1994.