摘要
基于投入产出表构建中国和欧盟细分产业的强关联网络,运用社会网络分析法从整体、子群及个体三个层级对中欧的产业网络进行比较分析,以探讨中国产业复杂网络发展趋势、规律以及阶段定位。研究发现:①产业强关联网络的发展具有显著规律性,欧盟产业强关联网络发展形态是中国的高级演化模式;②欧盟产业间的紧密度及群体聚集趋势均优于中国,但中国产业间的资源传输效率表现更好;③中国当前正处于分配性及生产性服务业与制造业换位的转型期,但尚未达到欧盟所处的以服务业高度集聚作为网络枢纽以带动全行业发展的成熟稳定期;④中国和欧盟的区块网络均呈现近似“核心—边缘”的等级层次结构,分块网络从“单核心”驱动向“双核心”共振驱动更迭,但欧盟比中国更早实现双核心驱动模式。
The formation of an industrial network is an inevitable evolutionary trend caused by industrial specialization,and it also anintrinsic driving force for the evolution of industrial structure.Thus,the topological characteristics of industrial networks canprovide a more detailed and precise reference for portraying macro industrial economic characteristics.This paper constructs the strongly related networks of China and EU subdivided industries based on the input-output tables,and uses the social network analysis to compare the industrial networks of China and EU at three levels:Overall,subgroups and individual.The aim of this study is to explore the development trend,pattern and development stage of the complex industrial networks in China.Therefore,we draw some conclusions.First of all,the development of strongly related industry networks has significant regularity,and the development form of EU industrial networks is the advanced model of Chinese industrial networks;Second,EU's inter-industry tightness and clustering trend are better than China's,but China's inter-industry resource transmission efficiency is better;Third,China is currently in a transition period where the distributive and productive services sectors are switching places with the manufacturing sector.However,China has not yet reached the mature and stable period in which a large number of service industries gather together as network centers to drive the development of the whole industry;Fourth,the Chinese and EU block networks are approximately presented with a"core-edge"hierarchical structure,and the block networks change from"single-core"drive to"dual-core"resonance drive.But the EU has achieved the dual core drive model earlier than China.
作者
原嫄
孙欣彤
YUAN Yuan;SUN Xin-tong(Northwestern Polytechnical University,Xi'an 710072,China)
出处
《人文地理》
CSSCI
北大核心
2021年第4期134-142,167,共10页
Human Geography
基金
国家自然科学基金青年项目(41601117)
中央高校基本科研业务费资助项目(3102018JCC016)。
关键词
产业强关联网络
社会网络分析
块模型
比较研究
strongly related industry networks
social network analysis
block model
comparative research