Investigating Factors Affecting the Performance of Industrial Clusters and Economic Competitiveness in Iran’s Textile Industries

Abstract:- This study investigates the factors affecting the performance of industrial clusters and their impact on economic competitiveness within the textile industries of Iran. Drawing on primary data collected through surveys and interviews with key stakeholders—including business owners, managers, workers, and government officials—the research employs both quantitative and qualitative methodologies. Secondary data from industry reports, government publications, and academic articles supplement the primary data, providing a comprehensive view of the textile sector. The analysis utilizes statistical methods, including regression analysis and structural equation modeling (SEM), to identify and test relationships between various factors and cluster performance. Thematic analysis of qualitative data reveals common themes and patterns. Findings indicate that access to finance, availability of skilled labor, technological capabilities, infrastructure quality, and supportive government policies are crucial determinants of cluster performance and economic competitiveness. The study highlights the need for targeted financial support, continuous skill development programs, technological upgradation, infrastructure investment, and effective policy frameworks to enhance the competitiveness of textile clusters. The research contributes to the understanding of industrial clusters in developing countries and provides actionable insights for policymakers and industry stakeholders aiming to foster sustainable growth and competitiveness in Iran’s textile industry.

Keywords: Industrial Clusters, Economic Competitiveness, Textile Industry, Structural Equation Modeling (SEM).