|
|
A COMPARATIVE STUDY OF COMPLEX INDUSTRY NETWORK SYSTEM WITH STRONG INDUSTRIAL LINKAGES BETWEEN CHINA AND THE EUROPEAN UNION |
YUAN Yuan, SUN Xin-tong |
Northwestern Polytechnical University, Xi'an 710072, China |
|
|
Abstract 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.
|
Received: 16 September 2020
|
|
|
|
|
[1] |
Hu F, Zhao S, Bing T, et al. Hierarchy in industrial structure:The cases of China and the USA[J]. Physica A:Statistical Mechanics and Its Applications, 2017,469:871-882.
|
[2] |
Acemoglu D, Carvalho V M, Ozdaglar A, et al. The network origins of aggregate fluctuations[J]. Econometrica, 2012,80(5):1977-2016.
|
[3] |
Luo J. Which Industries to ball out first in economic recession? Ranking us industrial sectors by the power-of-pull[J]. Economic Systems Research, 2013,25(2):157-169.
|
[4] |
Wu X, Jiang Y. Sectoral role change in transition China:A network analysis from 1990 to 2005[J]. Applied Economics, 2012,44(19/21):2699-2715.
|
[5] |
Muñiz A S G, Raya A M, Carvajal C R. Key Sectors:A new proposal from network theory[J]. Regional Studies, 2008,42(7):1013-1030.
|
[6] |
Erdös P, Rényi A. On random graphs I[J]. Publ. Math. Debrecen, 1959,6:290-297.
|
[7] |
Watts D J, Strogatz S H. Collective dynamics of ‘small-world’ networks[J]. Nature, 1998,393(6684):440-442.
|
[8] |
Wellman B. Structural Analysis:From Method and Metaphor to Theory and Substance, Social Structures:A Network Approach[M]. New York, US:Cambridge University Press, 1988:19-61.
|
[9] |
Wasserman S, Faust K. Social Network Analysis:Methods and Applications[M]. Cambridge:Cambridge University Press, 1994.
|
[10] |
Emirbayer M, Goodwin J. Network analysis, culture, and the problem of agency[J]. American Journal of Sociology, 1994,99(6):1411-1454.
|
[11] |
Chertow M. "Uncovering" industrial symbiosis[J]. Journal of Industrial Ecology, 2007,11(1):11-30.
|
[12] |
Domenech T, Davies M E. The social aspects of industrial symbiosis:The application of social network analysis to industrial symbiosis networks[J]. Progress in Industrial Ecology, An International Journal, 2009,6(1):68-99.
|
[13] |
朱涛.现代产业经济学[M].郑州:河南大学出版社,2016.[Zhu Tao. Modern Industrial Economics[M]. Zhengzhou:Henan University Press, 2016.]
|
[14] |
黄秀清,吴洪,任乐毅.通信经济学[M].北京:北京邮电大学出版社, 2018.[Huang Xiuqing, Wu Hong, Ren Leyi. Communications Economics[M]. Beijing:Beijing University of Posts and Telecommunications Press, 2018.]
|
[15] |
王铜安.基于社会网络视角的产业结构总体特征研究[J].科研管理,2014,35(7):124-129.[Wang Tongan. Research on the general feature of Chinese industrial structure based on social network analysis[J]. Science Research Management, 2014,35(7):124-129.]
|
[16] |
Wu X, Wu H, Li Z. Marx's industrial thought and China's industrial structure transformation[J]. Economist, 2020(4):24-33.
|
[17] |
Cheng Z, Li L, Liu J. Industrial structure, technical progress and carbon intensity in China's provinces[J]. Renewable and Sustainable Energy Reviews, 2018,81:2935-2946.
|
[18] |
原嫄,李国平,孙铁山,等.中国制造业重心的空间分布变化特征与趋势研究——基于2001年和2009年数据的实证分析[J].人文地理,2015,30(5):99-105.[Yuan Yuan, Li Guoping, Sun Tieshan, et al. The trend of the distribution of Chinese manufacturing cores:Empirical analysis based on the data of 2001 and 2009[J]. Human Geography, 2015,30(5):99-105.]
|
[19] |
Zhang H, Sun X, Zhu X, et al. Structure stability analysis of industrial system and construction of eco-industrial chain:A case study of Lianyungang Xuwei New Area, China[J]. Acta Ecologica Sinica, 2014,34(5):255-260.
|
[20] |
Li Y, Zhang B, Wang B, et al. Evolutionary trend of the coal industry chain in China:Evidence from the analysis of IO and APL model[J]. Resources, Conservation and Recycling, 2019,145:399-410.
|
[21] |
Wang Y, Wang N. The role of the marine industry in China's national economy:An input-output analysis[J]. Marine Policy, 2019,99:42-49.
|
[22] |
原嫄,席强敏,李国平.产业关联水平对碳排放演化的影响机理及效应研究——基于欧盟27国投入产出数据的实证分析[J].自然资源学报,2017,32(5):841-853.[Yuan Yuan, Xi Qiangmin, Li Guoping. The impact of industrial relevancy on regional carbon emission:Empirical analysis based on the input-output data of EU countries[J]. Journal of Natural Resources, 2017,32(5):841-853.]
|
[23] |
Luo J, Magee C L. Detecting evolving patterns of self-organizing networks by flow hierarchy measurement[J]. Complexity, 2011, 16(6):53-61.
|
[24] |
Heo P S, Lee D H. Evolution patterns and network structural characteristics of industry convergence[J]. Structural Change and Economic Dynamics, 2019,51:405-426.
|
[25] |
方大春,王海晨.我国产业关联网络的结构特征研究——基于2002-2012年投入产出表[J].当代经济管理,2017,39(11):71-78.[Fang Dachun, Wang Haichen. Research on the structural characteristics of industrial linkage network in China:Based on the inputoutput table from 2002 to 2012[J]. Contemporary Economic Management, 2017,39(11):71-78.]
|
[26] |
Mcnerney J, Fath B D, Silverberg G. Network structure of inter-industry flows[J]. Physica A:Statistical Mechanics and Its Applications, 2013,392(24):6427-6441.
|
[27] |
Zheng B, Huang G, Liu L, et al. Dynamic wastewater-induced research based on input-output analysis for Guangdong province, China[J]. Environmental Pollution, 2020,256:113502. https://doi.org/10.1016/j.envpol.2019.113502.
|
[28] |
赵巧芝,闫庆友.中国产业关联网络的结构特征研究[J]. 统计与决策,2017(15):104-108.[Zhao Qiaozhi, Yan Qingyou. Research on the structural characteristics of China's industrial association network[J]. Statistics & Decision, 2017(15):104-108.]
|
[29] |
吕康娟,付旻杰.我国区域间产业空间网络的构造与结构测度[J]. 经济地理,2010,30(11):1785-1791.[Lv Kangjuan, Fu Minjie. Construction and structural measurement of the inter-regional industrial spatial networks in China[J]. Economic Geography, 2010,30(11):1785-1791.]
|
[30] |
韩勇,李茂,赵勇.中国产业关联网络演变及其影响机制研究[J]. 南京社会科学,2017(6):38-45.[Han Yong, Li Mao, Zhao Yong. Research on the evolution and influence mechanism of china's industrial association Network[J]. Nanjing Journal of Social Sciences, 2017(6):38-45.]
|
[31] |
张毅超.加权网络的建模与随机扩散[M].上海:同济大学出版社, 2012:4.[Zhang Yichao. Modeling and Random Diffusion of Weighted Network[M]. Shanghai:Tongji University Press, 2012:4.]
|
[32] |
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, 2017, 162:61-70.
|
[33] |
Hanneman R A, Riddle M. Introduction to Social Network Methods[M/OL].[2020-05-01]. Riverside, CA:University of California, 2005. http://faculty.ucr.edu/~hanneman/nettext/.
|
[34] |
Sun L, Xue B, Geng Y, et al. Analysis on regional industries based on input-output table and SNA:A case of seven provinces in Eastern China[J]. Journal of East China Normal University. Natural Science, 2015(1):224-233.
|
[35] |
Kang-Juan L V, Min-Jie F U. Construction and structural measurement of the interregional industrial spatial networks in China[J]. Economic Geography, 2010,30:1785-1791.
|
[36] |
White H C, Boorman S A, Breiger R L. Social structure from multiple networks. I. blockmodels of roles and positions[J]. American Journal of Sociology, 1976,81(4):730-780.
|
|
|
|