Abstract:A directed network and a directed network with weighted links of R&D technology spillovers of China's industry in 2007 and 2014 were constructed.Through the analysis of density,centrality and core-periphery structure,we found that the linkages between the various industries were not close enough,but with the passage of time,the relationships were enhanced.Network had higher centrality when only considering spillovers,and mainly concentrated in seven industries,which accounted for more than 70% of all the spillovers.Network had lower centrality when considering both spillovers and absorbents,because the absorbents of R&D technology spillovers were decentralized.The core-periphery structure of network was notable,and belonged to the multi core network structure.All of the core industries were machinery manufacturing industries,which were capital-intensive or technology-intensive industries.They all belonged to the midstream of the industry chain,and had close relationships with the industries of upstream and downstream.The R&D investment in these sectors could promote the technological levels of other industries.The industrial structure dominated by the second industry was the main reason that pharmaceutical industry on periphery status,electronic and telecommunications equipment,instruments manufacturing belonged to semi-periphery status,which were high technology-intensive industries,and had close relationships with the industries of midstream and downstream
焦建玲, 杨宇飞, 白 羽. 工业行业R&D技术溢出的社会网络分析[J]. 中国科技论坛, 2017(10): 55-64.
Jiao Jianling, Yang Yufei, Bai Yu. R&D Spillovers of China's Industry Based on Social Network. , 2017(10): 55-64.
[1]潘文卿.中国产业间的技术溢出效应:基于35个工业部门的经验研究[J].经济研究,2011(7):18-31.
[2]ROMER P M.Increasing returns and long-run growth[J].Journal of political economy,1986,94(5):1002-1037.
[3]WANG L,MEIJERS H,SZIRMAI A.Technological spillovers and industrial growth in Chinese regions[J].Merit working papers,2013,044(1):33-51.
[4]柳剑平,程时雄.中国R&D投入对生产率增长的技术溢出效应:基于工业行业(1993—2006年)的实证研究[J].数量经济技术经济研究,2011(11):34-50.
[5]刘飞,王德发.国际R&D溢出、国内R&D和真实经济增长:基于技术扩散模型的一个实证[J].世界经济研究,2009(3):82-87.
[6]何兴强,欧燕,史卫,刘阳.FDI技术溢出与中国吸收能力门槛研究[J].世界经济,2014(10):52-76.
[7]宁进,于渤.关联产业间技术溢出的系统动力模型研究[J].哈尔滨工程大学学报,2011,32(2):235-241.
[8]MARTINCUS C V,MOLINARI A.Regional business cycles and national economic borders:What are the effects of trade in developing countries?[J].Review of world economics,2005,143(1):140-178.
[9]孙晓华,王昀,郑辉.R&D溢出对中国全要素生产率的影响[J].南开经济研究,2012(5):18-35.
[10]JAFFE A B.The importance of “spillovers” in the policy mission of the advanced technology program[J].Journal of technology transfer,1998,23(2):11-19.
[11]张红霞,冯恩民.R&D部门间溢出效应及中美日三国的比较分析[J].大连理工大学学报,2005,26(2):17-22.
[12]韩颖,李丽君,花园园,孙志敏.我国7个产业的产业间R&D溢出效应纵向比较分析[J].科学学研究,2010,28(4):542-548.
[13]张鹏,李悦明.全球生产网络下产业间技术溢出效应研究[J].中国科技论坛,2015(1):51-56.
[14]卢进勇,杨杰,郭凌威.中国在全球生产网络中的角色变迁研究[J].国际贸易问题,2016(7):3-14.
[15]LI Z,SUN L,GENG Y,et al.Examining industrial structure changes and corresponding carbon emission reduction effect by combining input-output analysis and social network analysis:a comparison study of China and Japan[J].Journal of cleaner production,2010.
[16]潘峰华,赖志勇,葛岳静.经济贸易视角下中国周边地缘环境分析:基于社会网络分析方法[J].地理研究,2015,34(4):775-786.
[17]张鹏,王娟.全球生产网络中国产业升级结构封锁效应及突破[J].科学学研究,2016,34(4):520-528.
[18]刘军.整体网分析(第二版)-UCINET软件实用指南[M].上海:上海人民出版社,2014.
[19]汤放华,汤慧,孙倩,汤迪莎.长江中游城市集群经济网络结构分析[J].地理学报,2013,68(10):1357-1366.
[20]张玥,朱庆华.学术博客交流网络的核心—边缘结构分析实证研究[J].图书情报工作,2009,53(53):25-29.
[21]廖小琴,孙建军,郑彦宁,潘云涛.高校微博互链网络的核心—边缘结构分析:链接结构和信息分布视角[J].情报科学,2014,32(1):119-124.
[22]陈银飞.2000—2009年世界贸易格局的社会网络分析[J].国际贸易问题,2011(11):31-42.
[23]章家清,张学芬.中国医药制造业技术创新能力实证研究[J].工业技术经济,2015(5):41-48.
[24]刘秉镰,徐锋,李兰冰.中国医药制造业创新效率评价与要素效率解构[J].管理世界,2013(2):169-171.
[25]赵云城.工业经济开局良好 向好基础尚需巩固[EB/OL].中央政府门户网站:http://www.stats.gov.cn/tjsj/sjjd/201704/t20170418_1485858.html.2017.
[26]孔令夷,楼旭明,贾卫峰.我国通信电子设备制造业转型升级路径与模式[J].科技管理研究,2014(19):71-88.