A CLUSTERING ANALYSIS ON INDUSTRIAL CAPACITY REPORT DATA OF PROVINCES IN TÜRKIYE
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https://doi.org/10.5281/zenodo.12607700Keywords:
Industrial Capacity Report, Cluster Analysis, Regional Development, Economic StrategiesAbstract
This study focuses on understanding the economic and industrial structure of Türkiye by using the data on the distribution of employees by provinces in the annual Industrial Capacity Report published by the Union of Chambers and Commodity Exchanges of Türkiye. For this purpose, a stepwise cluster analysis is performed with the K-means clustering algorithm. The results of the analysis identify economic and industrial centers in different regions of the country and reveal the differences between these regions. The first cluster (C1), representing large cities, includes economic and industrial centers, while the second cluster (C2) includes regional economic centers and cities that play an important role in industrial production. The third cluster (C3) includes medium-sized cities, while the fourth and fifth clusters (C4 and C5) generally represent rural and less developed regions. The overall assessment of the study helps to identify and understand the economic and industrial structures in different regions of Turkey. This, in turn, allows for more effective formulation of regional development policies and economic strategies. For example, policies can be implemented in provinces in cluster C1 and C2 to promote innovation and technology-based economic growth, and in provinces in cluster C3, C4 and C5 to emphasize agricultural and rural development. Moreover, this analysis can help reduce economic and social imbalances across regions by ensuring a more balanced allocation of investment and resources. By providing a comprehensive analysis of Turkey's industrial and labor force structure, this study contributes to strategic planning for regional development and economic growth.
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