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Authors: Xiaolan Guan 1 ; Honglu Liu 2 and Zhenji Zhang 1

Affiliations: 1 School of Economics and Management, Beijing Jiaotong Univers, China ; 2 School of Traffic and Transportation, Beijing Jiaotong Unive, China

Keyword(s): Logistics park, Correlation analysis, Ecosystem.

Abstract: This paper innovatively introduces the correlation analysis in the theory of ecosystem into the relationship analysis between the enterprises in the logistics park and has opened up a new brand-path to describe the complicated relationships between the enterprises. Through constructing a correlation analysis model, we can measure the reasonability of the enterprises distribution and understand the enterprise's core business and the integration of resources within the park more systematically and effectively, and also provide new ideas and new methods to guide the building of ecological logistics park in the future.

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Paper citation in several formats:
Guan, X.; Liu, H. and Zhang, Z. (2010). RESEARCH ON THE ECOLOGICAL CORRELATION ANALYSIS BETWEEN THE ENTERPRISES IN THE LOGISTICS PARK. In Proceedings of the Twelfth International Conference on Informatics and Semiotics in Organisations - ICISO; ISBN 978-989-8425-26-3, SciTePress, pages 193-198. DOI: 10.5220/0003268201930198

@conference{iciso10,
author={Xiaolan Guan. and Honglu Liu. and Zhenji Zhang.},
title={RESEARCH ON THE ECOLOGICAL CORRELATION ANALYSIS BETWEEN THE ENTERPRISES IN THE LOGISTICS PARK},
booktitle={Proceedings of the Twelfth International Conference on Informatics and Semiotics in Organisations - ICISO},
year={2010},
pages={193-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003268201930198},
isbn={978-989-8425-26-3},
}

TY - CONF

JO - Proceedings of the Twelfth International Conference on Informatics and Semiotics in Organisations - ICISO
TI - RESEARCH ON THE ECOLOGICAL CORRELATION ANALYSIS BETWEEN THE ENTERPRISES IN THE LOGISTICS PARK
SN - 978-989-8425-26-3
AU - Guan, X.
AU - Liu, H.
AU - Zhang, Z.
PY - 2010
SP - 193
EP - 198
DO - 10.5220/0003268201930198
PB - SciTePress

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