|
|
|
| Empirical Study on the Transmission Mechanism of Automobile Cost in Guangzhou Based on Complex Network |
| LIU Xiangrong1, YANG Jianmei1, SUN Hongying2, XIE Weicong1
|
1. School of Business Administration, South China University of Technology, Guangzhou 510640, China;
2. ZhongKai University of Agriculture and Technology, Guangzhou 510225, China |
|
|
|
|
Abstract In order to study the automobile cost transmission mechanism and strengthen cost forecasting and controlling of automotive industry, the paper transformed respectively the January 2001-November 2012 monthly price of crude oil （upstream), asbestos brake pads and auto parts（midstream), automobile sales （downstream) into symbolic sequences consisting of three characters （R, e, D) with symbolic dynamics. Monthly Symbol group is treated as nodes, connected nodes in chronological order, established automobile cost transmission synchronization complex networks of Guangzhou. The paper studied the degree distribution, the weighted clustering coefficient, average shortest path length, and community structure of network. The study found that peak intensity distribution followed the extension of exponential distribution. The average path length was 3.48, the conduction between nodes showed short-range correlation. The top 17 nodes in centrality measure play a key role of controlling the mode conversion, Major and minor nodes have a tendency to the normal node. The network is divided into three communities using Newman algorithms. The rise and decline trend play a very important role in the formation of associations.
|
|
Received: 20 May 2013
Published: 22 June 2026
|
|
|
|
[1] 2011年广州汽车摩托车经济运行情况[DB/OL].（2013-03-06)[2013-04-23].http://www.gzii.gov.cn/cms/docInfo!view.action?id=120306170012356&templateId=1286.
The economic operation of Guangzhou automobile and motorcycle in 2011[DB/OL].（2013-03-06)[2013-04-23].http://www.gzii.gov.cn/cms/docInfo!view.action?id=120306170012356&templateId=1286.
[2] 任泽平,杨建龙,武康平.基于成本传导能力模型的实证研究[J].统计研究, 2008,25（10):46-53.
Renze Ping, Yang Jianlong, Wu Kangping. Empirical research model based on the cost of transmission capacity[J]Statistical Research, 2008,25 （10):46-53.
[3] 王艺明,蔡昌达. 货币政策的成本传导机制与价格之谜——基于新凯恩斯主义DSGE模型的研究[J].经济学动态, 2012,3:14-25.
Wang Yiming, Caichangda.The puzzle of cost transmission mechanism and price in monetary policy based on New Keynesian DSGE model[J]. Economics Dynamics, 2012,3:14-25.
[4] 田建强,刘志新.我国货币政策传导成本渠道的存在性检验[J].系统工程, 2011,29（8):33-37.
Tian Jianqiang,liuzhixin.The existence test on costs channels of monetary policy transmission china[J]. Systems Engineering, 2011,29（8):33-37.
[5] 汪晓帆,李翔,陈关荣.复杂网络理论及其应用[M].北京:清华大学出版社,2006.
[6] Brida J G.High resolution frequency stability measurment system[J].Review of Scientific Instruments.2002, 73（5):2171-2174.
[7] 张杰,陈晔君.基于符号时间序列分析法的A股上海板块网络结构分析[J].科学技术与工程,2010,10（5):1184-1187.
Zhang Jie,Chen Yejun. Network structure analysis of the shanghai sector of a-share market based on symbolic time series analysis method[J]. Science Technology and Engineering,2010,10（5):1184-1187.
[8] 姚灿中,杨建梅.幂律拟合的进展及其在产业网络中的应用[J].管理学报,2008,12（3):51-56.
Yao Canzhong,Yang Jianmei. Power-law fitting problems and application to several industrial networks[J]. Chinese Journal of Management,2008,12（3):51-56.
[9] Yang J M, Lu L P, Wang D X, et al. On competitive relationship networks:a new method for industrial competition analysis[J]. Physica A, 2007, 382（2):704-714.
[10] Milo R, Shen-orr S,Itzkovitz S, et al. Network motifs:simple building blocks of complex networks[J]. Science, 2002, 298（5594):824-827.
[11] Mantegna R N. Hierarchical structure in financial markets[J].The European Physical Journal B,1999,11（1):193-197.
[12] Milo R, Itzkovitz S, Kashtan N, et al. Superfamilies of evolved and designed networks[J].Science,2004, 303（5663):1538-1542.
[13] Maslov S, Sneppen K. Detection of topological patterns in complex networks:correlation profile of the internet[J]. Physical A, 2004,333（1):529-540.
[14] 欧瑞秋,杨建梅,常静.企业-产品二分网络的社团结构分-以中国汽车产业为例[J].管理学报, 2010,7（9):1403-1409.
Ou Ruiqiu,Yang Jianmei,Chang Jing.Community structure analysis of firm-product bipartite network:a case study on china automobile industry[J]. Chinese Journal of Management, 2010,7（9):1403-1409.
[15] 陈卫东,徐华,郭琦.国际石油价格复杂网络的动力学拓扑性质[J].物理学报,2010,59（7):4514-4523.
Chen Weidong,Xu Hua, Guo Qi. Dynamic analysis on the topological properties of the complex network of international oil prices[J]. Acta Physica Sinica, 2010, 59（7):4514-4523.
[16] 高湘昀,安海忠,刘红红,等.原油期货与现货价格联动性的复杂网络拓扑性质[J].物理学报,2011, 60 （6):843-852.
Gao Xiangyun, An Haizhong, Liu Honghong, et al.The complex network topological properties on price linkage of crude oil futures and spots[J]. Acta Physica Sinica, 2011, 60 （6):843-852. |
|
|
|
