Integrated diagnostic assessment of light industry clusters development in the socio-economic system of Azerbaijan

Authors

DOI:

https://doi.org/10.15587/2706-5448.2026.363059

Keywords:

innovation, economic potential, industrial clusters, light industry, non-oil sector, competitiveness

Abstract

The object of research is the processes of formation and development of light industry clusters in the socio-economic system of Azerbaijan, as well as the mechanisms of their technological audit and assessment of production reserves in the conditions of innovative transformation of the economy. The research problematic lies in the lack of comprehensive diagnostic tools for assessing the integration potential of industrial zones and identifying hidden production reserves. Existing fragmented approaches do not allow for an accurate measurement of the impact of networking on labor productivity indicators, which complicates informed management decisions regarding the allocation of public investment in infrastructure.

The results include a developed diagnostic model for assessing industrial cluster potential based on the Integral Diagnostic Index (IDI). Calculations revealed the highest value for the Baku-Absheron region (0.74). The Aran (0.54) and Lankaran-Astara (0.46) regions, however, have limited potential. The research quantified a stable investment multiplier – 1.61, demonstrating the effectiveness of cluster infrastructure development. It was also found that cluster integration provides a 22% increase in labor productivity compared to stand-alone enterprises.

The results are mainly explained by the synergistic effect of concentrating resources in technology parks, including the Mingachevir Technology Park, and lowering transaction costs. The Baku-Absheron region’s leadership is based on its well-developed innovation infrastructure. The higher efficiency of clusters is due to optimizing supply chains (reducing logistics time by 45%) and the dominant influence of human capital: the share of qualified personnel in leading clusters reaches 72%.

The results can be utilized in practice if they are incorporated into government monitoring programs for industrial policy until 2030. The developed IDI model is applicable to assessing the effectiveness of existing industrial districts and identifying regions requiring priority financial support for non-oil sector development.

Author Biographies

Metanet Ahmadova, Azerbaijan Technological University

PhD of Technics, Associate Professor

Department of Management

Minura Karimova, Azerbaijan Technological University

PhD of Economics, Associate Professor

Department of Economics

Fazil Karimov, Azerbaijan Technological University

PhD of Economics, Associate Professor

Department of Economics

Rizvan Majidov, Azerbaijan Technological University

Senior Lecture

Department of Management

Gulgun Abdiyeva, Azerbaijan Technological University

PhD of Economics, Senior Lecture

Department of Management

Lamiye Bayramova, Azerbaijan Technological University

Assistant

Department of Humanities and Multiculturalism

Samira Nuriyeva, Azerbaijan Technological University

Assistant

Department of Physics and Technical Sciences

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Integrated diagnostic assessment of light industry clusters development in the socio-economic system of Azerbaijan

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Published

2026-06-19

How to Cite

Ahmadova, M., Karimova, M., Karimov, F., Majidov, R., Abdiyeva, G., Bayramova, L., & Nuriyeva, S. (2026). Integrated diagnostic assessment of light industry clusters development in the socio-economic system of Azerbaijan. Technology Audit and Production Reserves, 3(4(89), 74–80. https://doi.org/10.15587/2706-5448.2026.363059

Issue

Vol. 3 No. 4(89) (2026): Economics of enterprises. Macroeconomics

Section

Development of Productive Forces and Regional Economy

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Copyright (c) 2026 Metanet Ahmadova, Minura Karimova, Fazil Karimov, Rizvan Majidov, Gulgun Abdiyeva, Lamiye Bayramova, Samira Nuriyeva

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