|
|
|
| Industrial Clusters Trading Network Based on Heterogeneity |
| LU Lana, GENG Jin-huab, GAO Qi-shenga
|
| a. School of Economic; b. The Editorial Department of Journal, Qingdao University, Qingdao 266071, China |
|
|
|
|
Abstract An industrial clusters trading network model is built based on the heterogeneity of clusters. The degree of clusters heterogeneity can be quantitatively described and analyzed by the Cobb-Douglas production function. Meanwhile, the definitions of structure parameters of clusters network are given. Theoretical analysis and numerical simulation show that the costs between different clusters are inversely proportional to the proportion of shared resources. The cluster network model is a heterogeneous network which the centrality and the clustering are very low.Finally, empirical analysis obtains that industrial relationship network of Beijing is consistent with that network we proposed. The heterogeneity between the third industry and other industries is stronger. So, we can say that the development of the third industry promote the progress of the first and the second industry.
|
|
Received: 01 April 2013
Published: 22 June 2026
|
|
|
|
[1] Lin N. Social resources and instrumental action[C]//Marseden P V. Social Structure and Network Analysis,Beverly Hills:C A, 1982:131-145.
[2] Lin N. Social resources and social mobility:a structural theory of status attainment[C]//Breiger R L.Social Mobility and Social Structure. New York:Cambridge University Press,1990,247-271.
[3] Lin N. Building a network theory of social capital[J]. Connections,1999,22（1):28-51.
[4] Lin N. Social Capital:a Theory of Social Structure and Action[M]. England:Cambridge University Press, 2001.
[5] Banerjee A, Munshi K. How efficiently is capital allocated? evidence from the knitted garment industry in tirupur[J]. Review of Economic Studies,2004,71（1):19-42.
[6] Deroian F. A note on cost-reducing alliances in vertically differentiated oligopoly[J]. Economic Bulletin, 2004,12（11):1-6.
[7] Bramoull Y, Djebbari H,Fortin B. Identification of Peer Effects Through Social Networks[M]. Mimeo:University of Laval,2006.
[8] Conley T G, Udry C R. Leaning about a new technology:pineapple in Ghana[J]. American Economic Review,2010,100（1):35-69.
[9] 耿帅. 基于共享性资源观的集群企业竞争优势研究[D].浙江:浙江大学,2004.
Geng shuai.Study on the competitive advantage of firms in cluster based on shared resources[D].Zhejiang:Zhejinag University,2004.
[10] Anh P T,Dieu T T M,Mol A P J,et al.Towards eco-agro industrial clusters in aquatic production:the case of shrimp processing industry in Vietnam[J].Journal of Cleaner Production,2011,19（17):2107-2118.
[11] Porter M E. Clusters and the new economics of competition[J].Harvard Business Review,1998,76（6):77-90.
[12] Casanueva C,Castro I,Galán J L.Informational networks and innovation in mature industrial clusters[J].Journal of Business Research, 2013,66（5):603-613.
[13] Porta D. A conceptual framework for the industrial district analysis:from knowledge to resources[DB/OL].[2013-02-15].http://ideas.repec.org/p/wiw/wiwrsa/ersa03p36.html.
[14] 顾志刚. 产业集群共享性资源动态演化机制研究[D]. 浙江:浙江大学, 2007.
Gu Zhigang.The study on dynamic evolution mechanism of shared resource in cluster[D].Zhejiang:Zhejiang University,2007.
[15] Jackson M O, Wolinsky A. A strategic model of economic and social networks[J].Journal of Economic Theory, 1996, 71（1):44-74. |
|
|
|
