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Digital
Library of the European Council for Modelling
and Simulation |
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Title: |
Industry Cluster Using
Cluster Analysis To Support Industry Cluster Policy Of Thailand |
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Authors: |
Kanogkan
Leerojanaprapa, Komn Bhundarak, Kittiwat Sirikasemsuk |
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Published in:
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(2019). ECMS 2019
Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo,
Massimo Ficco, European Council for Modeling and Simulation. DOI: http://doi.org/10.7148/2019 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) 33rd International ECMS Conference on
Modelling and Simulation,
Caserta, Italy, June 11th – June 14th, 2019 |
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Citation
format: |
Kanogkan Leerojanaprapa, Komn Bhundarak, Kittiwat Sirikasemsuk (2019). Industry Cluster Using Cluster Analysis To Support Industry Cluster Policy Of Thailand, ECMS 2019 Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco European Council for Modeling and Simulation. doi: 10.7148/2019-0240 |
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DOI: |
https://doi.org/10.7148/2019-0240 |
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Abstract: |
This research
implies clustering into three clusters for five industries by means of
k-Means clustering method. Agro-processing, textiles and clothing,
petrochemicals and chemicals, electronics and telecommunications equipment
and automotive and parts are selected for this study as they are main target
promoting industries for Thailand. There were 23,628 firms in this study.
From this study, we can identify different patterns of demanded resources in
three different groups. One cluster required low level of resourced demands
for all variables while the other two clusters required capital and manpower
interchangeable between high and medium level. Only the electronics and
telecommunications equipment sector showed high to medium demand for all
variables. After all firms were divided into three clusters, we were able to
define cluster regions by provinces, for particular types of clusters in
order to evaluate the potential of each region and also define supporting
policy for those firms to meet their demands following the regional economic
development strategy. |
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