Urmia University Geography and Regional Future Studies 2981-118X 3 4 2026 02 20 Feasibility assessment of regions for the formation of technology clusters (Case study: Fars Province) Feasibility assessment of regions for the formation of technology clusters (Case study: Fars Province) 59 72 121810 10.30466/grfs.2025.56008.1091 FA Mohsen Rafieian Department of Urbanism, Faculty of Art and Architecture, Yazd University, Yazd, Iran. 0000-0002-4214-9765 Shabnam Jafari Department of Regional Planning, Faculty of Art and Architecture, Yazd University, Yazd, Iran. Mahsa Dehghanian Department of Urbanism, Faculty of Art and Architecture, Yazd University, Yazd, Iran. 0009-0008-4354-3108 Journal Article 2025 02 23 Clusters of science and technology play a vital role in fostering innovation, creativity, and knowledge-based economic growth. A cluster refers to a group of companies and organizations located within a specific geographic area that collaborate and interact in the production of goods and services. These interconnections create synergies that promote competitiveness and innovation. However, not all regions possess equal capacity for the formation and development of such clusters, which makes assessing regional capabilities an important step in regional development planning. The main objective of this research is to assess the potential of different regions in Fars Province for the formation of technology clusters. The study aims to identify which cities have higher or lower capacities for establishing and sustaining technology-oriented networks and innovation ecosystems. In this research, 48 indicators were employed to evaluate the technological and innovation capabilities of the regions in Fars Province. The analysis was conducted using the numerical taxonomy method, which classifies regions based on their similarities and differences. The research follows a descriptive–analytical approach and utilizes documentary resources, content analysis, and cluster analysis techniques. The statistical population includes all counties of Fars Province. The results indicate that Marvdasht County is the most advantaged area in terms of technological and innovation potential, whereas Sarchehan County is the most deprived, according to the numerical taxonomy model. The lower and upper limits of the analysis were 4.34 and 7.61, respectively, with all counties falling within this range. Marvdasht County recorded the lowest CI value (15.01), indicating higher relative advantage, while Sarchehan County showed the highest CI value (23.89), representing limited potential. The study concludes that there is significant variation in the technological capabilities of Fars Province’s regions. While some areas, such as Marvdasht, show strong potential for forming technology clusters, others require greater infrastructural investment and institutional support to enhance their readiness for innovation-driven development. Clusters of science and technology play a vital role in fostering innovation, creativity, and knowledge-based economic growth. A cluster refers to a group of companies and organizations located within a specific geographic area that collaborate and interact in the production of goods and services. These interconnections create synergies that promote competitiveness and innovation. However, not all regions possess equal capacity for the formation and development of such clusters, which makes assessing regional capabilities an important step in regional development planning. The main objective of this research is to assess the potential of different regions in Fars Province for the formation of technology clusters. The study aims to identify which cities have higher or lower capacities for establishing and sustaining technology-oriented networks and innovation ecosystems. In this research, 48 indicators were employed to evaluate the technological and innovation capabilities of the regions in Fars Province. The analysis was conducted using the numerical taxonomy method, which classifies regions based on their similarities and differences. The research follows a descriptive–analytical approach and utilizes documentary resources, content analysis, and cluster analysis techniques. The statistical population includes all counties of Fars Province. The results indicate that Marvdasht County is the most advantaged area in terms of technological and innovation potential, whereas Sarchehan County is the most deprived, according to the numerical taxonomy model. The lower and upper limits of the analysis were 4.34 and 7.61, respectively, with all counties falling within this range. Marvdasht County recorded the lowest CI value (15.01), indicating higher relative advantage, while Sarchehan County showed the highest CI value (23.89), representing limited potential. The study concludes that there is significant variation in the technological capabilities of Fars Province’s regions. While some areas, such as Marvdasht, show strong potential for forming technology clusters, others require greater infrastructural investment and institutional support to enhance their readiness for innovation-driven development. https://grfs.urmia.ac.ir/article_121810_cd5fafbdce29ca2ffac69dd31d5f1f58.pdf