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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Industry Cluster Using Cluster Analysis To Support Industry Cluster Policy Of Thailand

Authors:

Kanogkan Leerojanaprapa, Komn Bhundarak, Kittiwat Sirikasemsuk

Published in:

 

 

(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

 

 

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

DOI:

https://doi.org/10.7148/2019-0240

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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