The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example

Long-fei Chen

doi:doi:10.11648/j.earth.20150406.11

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The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example

Long-fei Chen

Published in Earth Sciences (Volume 4, Issue 6)

Received: 4 December 2015 Published: 5 December 2015

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Abstract

Due to the increasing returns to scale and the external economic effect, the industrial cluster, as a kind of geographical phenomenon in the process of industrial development, is the inevitable product of the process of economic development in the world. This paper selects 24 buildings in Caohejing Hi-Tech Park(CHJ, Shanghai, China) as a sample. Using the Gini coefficient method, from the three dimensions of 976 companies in the 24 buildings-industry types, company types, labor types, we found that the electronic information industry cluster in CHJ region has been initially apparent. Electronic information manufacturing industry (two digit industries such as C39) and its supporting services (such as the three digit industry F517, L721 etc.) has begun to take shape; and the corresponding industry talent reserves have also been able to support the electronic information industry chain of CHJ region of operation; private and foreign-funded enterprises have very strong economic vitality and thus the strong momentum of development CHJ areas; the quantity of SOE is not much but is strength.

Published in	Earth Sciences (Volume 4, Issue 6)
DOI	10.11648/j.earth.20150406.11
Page(s)	223-227
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

IT Enterprises, GINI Coefficient, Spatial Distribution, Industrial Agglomeration

References

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[2]	Zi-long WANG, Qing-mei Tan, Xiao-di XU. The Metrical Method and Empirical Studies of High-tech Industry Agglomeration Level[J]. STUDIES IN SCIENCE OF SCIENCE, 2006, 24(5): 706-714.
[3]	Hong-jiao YANG, Lin-yan SUN, Dong-han LIANG. Trends and Determinants of China' s Hi-tech Industrial Agglomeration Degree——take manufacture of electronic and communication equipment for example [J]. STUDIES IN SCIENCE OF SCIENCE, 2009, 27(9): 1335-1343.
[4]	Jiang-yong LU, Zhi-gang TAO. Chinese Manufacturing Industry Agglomeration and International Comparison[J]. Economic Research Journal, 2006, (03).
[5]	Xiu-jing BI, Ming-feng WANG, Jian LI. Agglomeration and Suburbanization: A Study on the Spatial Distribution of Software Industry and Its Evolution in Metropolitan Shanghai[J]. Acta Geographica Sinica, 2011, 66(12): 1682-1694.
[6]	JESUS FELIPE, JOHN McCOMBIE. Agglomeration Economies, Regional Growth, and the Aggregate Production Function: A Caveat Emptor for Regional Scientists[J]. Spatial economic analysis, 2012, 7(4): 461-484.
[7]	Ming-hua LU, Li LI. The spatial distribution of electronic information industries and its value chain parts in Beijing [J]. Geographical Research, 2012, 31(10): 1861-1871.
[8]	Yan WANG, Yan XU. Chinese High Technology Industry Agglomeration and Spatial Spillover Effect Research[J]. Modern Management Science, 2013, (1): 3-5.
[9]	Chen CHEN, Fa-hui WNG, Chun-liang XIU. The Relationship Between the Spatial Distribution of Commercial Networks and Street Centrality in Changchun[J]. Economic Geography, 2013, 33(10): 40-47.
[10]	Miao ZHANG. Investigation of a Coupling Model of Coordination between Modern Service Industry Cluster and Regional Industry Transfer——Taking Wanjiang City Belt as an Example[J]. Forum on Science and Technology in China, 2014, (3): 111-117.
[11]	Qi YE. The Coordinative Effects and Development Tendency of China's Regional Industrial Transfer [J]. Contemporary Economy & Management, 2014, (3):111-117.
[12]	Ze-bin WU, Jin LI. SPATIAL CONCENTRATION OF JIANGXI'S INDUSTRY BASED ON REGIONAL GINI COEFFICIENT [J]. Resources & Industries, 2014, 16(6): 100-103.
[13]	Wen ZHANG, Li ZHANG, Jia-qiu WANG. Study on spatial distribution pattern of Shenzhen enterprises [J]. Science of Surveying and Mapping, 2015, 40(9): 65-68.

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Long-fei Chen. (2015). The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example. Earth Sciences, 4(6), 223-227. https://doi.org/10.11648/j.earth.20150406.11

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ACS Style

Long-fei Chen. The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example. Earth Sci. 2015, 4(6), 223-227. doi: 10.11648/j.earth.20150406.11

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AMA Style

Long-fei Chen. The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example. Earth Sci. 2015;4(6):223-227. doi: 10.11648/j.earth.20150406.11

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@article{10.11648/j.earth.20150406.11,
  author = {Long-fei Chen},
  title = {The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example},
  journal = {Earth Sciences},
  volume = {4},
  number = {6},
  pages = {223-227},
  doi = {10.11648/j.earth.20150406.11},
  url = {https://doi.org/10.11648/j.earth.20150406.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20150406.11},
  abstract = {Due to the increasing returns to scale and the external economic effect, the industrial cluster, as a kind of geographical phenomenon in the process of industrial development, is the inevitable product of the process of economic development in the world. This paper selects 24 buildings in Caohejing Hi-Tech Park(CHJ, Shanghai, China) as a sample. Using the Gini coefficient method, from the three dimensions of 976 companies in the 24 buildings-industry types, company types, labor types, we found that the electronic information industry cluster in CHJ region has been initially apparent. Electronic information manufacturing industry (two digit industries such as C39) and its supporting services (such as the three digit industry F517, L721 etc.) has begun to take shape; and the corresponding industry talent reserves have also been able to support the electronic information industry chain of CHJ region of operation; private and foreign-funded enterprises have very strong economic vitality and thus the strong momentum of development CHJ areas; the quantity of SOE is not much but is strength.},
 year = {2015}
}

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TY  - JOUR
T1  - The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example
AU  - Long-fei Chen
Y1  - 2015/12/05
PY  - 2015
N1  - https://doi.org/10.11648/j.earth.20150406.11
DO  - 10.11648/j.earth.20150406.11
T2  - Earth Sciences
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JO  - Earth Sciences
SP  - 223
EP  - 227
PB  - Science Publishing Group
SN  - 2328-5982
UR  - https://doi.org/10.11648/j.earth.20150406.11
AB  - Due to the increasing returns to scale and the external economic effect, the industrial cluster, as a kind of geographical phenomenon in the process of industrial development, is the inevitable product of the process of economic development in the world. This paper selects 24 buildings in Caohejing Hi-Tech Park(CHJ, Shanghai, China) as a sample. Using the Gini coefficient method, from the three dimensions of 976 companies in the 24 buildings-industry types, company types, labor types, we found that the electronic information industry cluster in CHJ region has been initially apparent. Electronic information manufacturing industry (two digit industries such as C39) and its supporting services (such as the three digit industry F517, L721 etc.) has begun to take shape; and the corresponding industry talent reserves have also been able to support the electronic information industry chain of CHJ region of operation; private and foreign-funded enterprises have very strong economic vitality and thus the strong momentum of development CHJ areas; the quantity of SOE is not much but is strength.
VL  - 4
IS  - 6
ER  -

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Author Information

Long-fei Chen

School of Economics of Shanghai University, Shanghai, China

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Plain Text BibTeX RIS

APA Style

Long-fei Chen. (2015). The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example. Earth Sciences, 4(6), 223-227. https://doi.org/10.11648/j.earth.20150406.11

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ACS Style

Long-fei Chen. The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example. Earth Sci. 2015, 4(6), 223-227. doi: 10.11648/j.earth.20150406.11

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AMA Style

Long-fei Chen. The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example. Earth Sci. 2015;4(6):223-227. doi: 10.11648/j.earth.20150406.11

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@article{10.11648/j.earth.20150406.11,
  author = {Long-fei Chen},
  title = {The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example},
  journal = {Earth Sciences},
  volume = {4},
  number = {6},
  pages = {223-227},
  doi = {10.11648/j.earth.20150406.11},
  url = {https://doi.org/10.11648/j.earth.20150406.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20150406.11},
  abstract = {Due to the increasing returns to scale and the external economic effect, the industrial cluster, as a kind of geographical phenomenon in the process of industrial development, is the inevitable product of the process of economic development in the world. This paper selects 24 buildings in Caohejing Hi-Tech Park(CHJ, Shanghai, China) as a sample. Using the Gini coefficient method, from the three dimensions of 976 companies in the 24 buildings-industry types, company types, labor types, we found that the electronic information industry cluster in CHJ region has been initially apparent. Electronic information manufacturing industry (two digit industries such as C39) and its supporting services (such as the three digit industry F517, L721 etc.) has begun to take shape; and the corresponding industry talent reserves have also been able to support the electronic information industry chain of CHJ region of operation; private and foreign-funded enterprises have very strong economic vitality and thus the strong momentum of development CHJ areas; the quantity of SOE is not much but is strength.},
 year = {2015}
}

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TY  - JOUR
T1  - The Spatial Distribution Characteristics of IT Enterprises in Shanghai Caohejing Hi-Tech Park: Take the 24 Buildings as Example
AU  - Long-fei Chen
Y1  - 2015/12/05
PY  - 2015
N1  - https://doi.org/10.11648/j.earth.20150406.11
DO  - 10.11648/j.earth.20150406.11
T2  - Earth Sciences
JF  - Earth Sciences
JO  - Earth Sciences
SP  - 223
EP  - 227
PB  - Science Publishing Group
SN  - 2328-5982
UR  - https://doi.org/10.11648/j.earth.20150406.11
AB  - Due to the increasing returns to scale and the external economic effect, the industrial cluster, as a kind of geographical phenomenon in the process of industrial development, is the inevitable product of the process of economic development in the world. This paper selects 24 buildings in Caohejing Hi-Tech Park(CHJ, Shanghai, China) as a sample. Using the Gini coefficient method, from the three dimensions of 976 companies in the 24 buildings-industry types, company types, labor types, we found that the electronic information industry cluster in CHJ region has been initially apparent. Electronic information manufacturing industry (two digit industries such as C39) and its supporting services (such as the three digit industry F517, L721 etc.) has begun to take shape; and the corresponding industry talent reserves have also been able to support the electronic information industry chain of CHJ region of operation; private and foreign-funded enterprises have very strong economic vitality and thus the strong momentum of development CHJ areas; the quantity of SOE is not much but is strength.
VL  - 4
IS  - 6
ER  -

Copy | Download