The development of special economic zone and the cluster approaches: The case in Southern Thailand

ผู้แต่ง

  • Arisara Romyen Department of Agribusiness Economics and Management, Faculty of Economics, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand

คำสำคัญ:

clustering validation measurements, hierarchical agglomerative clustering, k-means clustering algorithm, model-based clustering, Songkhla Special Economic Zone

บทคัดย่อ

A Special Economic Zone means a key role in the development of regions. This raises the question of whether production sectors can be designed to facilitate clustering. In this paper, we determine the SEZ in Southern Thailand. For the clustering analyses, the K-means algorithm, the Hierarchical clustering algorithm and the Model-Based clustering algorithm were applied as well as clustering
validation measurements being carried out. Moreover, the Silhouette width (0.73), and Dunn index (for 4 cluster = 0.983 against 5 cluster = 0.232) were executed to ensure the clustering validation. Consequently, the four optimal clusters, consisting of cluster 1 (AGRI, SALE), cluster 2 (ELEC, HOTE, TRAN, FINAN, ESTE), cluster 3 (FISH, CONS), and cluster 4 (MANU, MIN), were specified. These classified tier clusters explicitly demonstrate current economic performance at Songkhla’s SEZ. The policy-maker can adopt this clustering scheme to gain advantages through SEZ.

ดาวน์โหลด

เผยแพร่แล้ว

2021-07-31

รูปแบบการอ้างอิง

Romyen, A. . (2021). The development of special economic zone and the cluster approaches: The case in Southern Thailand. Kasetsart Journal of Social Sciences, 42(3), 463–472. สืบค้น จาก https://so04.tci-thaijo.org/index.php/kjss/article/view/253456

ฉบับ

ประเภทบทความ

Research articles