Strategies for integrating retail chains into Tajikistan’s regional economy: Digitalization, spatial optimization, and cluster models
- Authors: Chernyakov M.K.1, Mukhtorzoda S.S.2
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Affiliations:
- Siberian University of Consumer Cooperation
- Tajik State University of Commerce
- Issue: Vol 14, No 3 (2025)
- Pages: 59-75
- Section: Regional economics and spatial development
- Published: 31.10.2025
- URL: https://journals.rcsi.science/2070-7568/article/view/378357
- DOI: https://doi.org/10.12731/3033-5973-2025-14-3-315
- EDN: https://elibrary.ru/IJMJFH
- ID: 378357
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Abstract
Background. The study focuses on developing strategies for integrating retail chains into Tajikistan’s regional economy, emphasizing digitalization, spatial optimization, and cluster models.
The research relevance stems from the need to address key challenges such as hyperconcentration of retail outlets in central Dushanbe, technological backwardness, and low share of local suppliers (15%), which constrain sustainable sector development. Retail chain integration into the regional economy requires a comprehensive approach combining digitalization, spatial optimization and cluster models.
Purpose – to develop integration strategies for retail chains in Tajikistan’s economy based on digital technologies, spatial analysis and cluster collaboration to enhance sector efficiency and sustainability.
Materials and methods. The study employs GIS analysis for spatial optimization of retail locations and econometric modeling to assess integration’s impact on economic indicators.
Results. Horizontal integration (franchising) reduces operational costs and enhances network competitiveness. Vertical integration with local producers decreases logistics expenses and increases domestic goods share to 30%. The cluster model accelerates inventory turnover by 20-25% through participant synergy. Particular attention is given to digitalization (B2B platforms, IoT, big data) as a system-forming factor requiring infrastructure development and digital literacy improvement. The practical significance lies in recommendations for business (franchising implementation, GIS analysis), government (tax incentives, logistics investments) and science (international best practices adaptation).
About the authors
Mikhail K. Chernyakov
Siberian University of Consumer Cooperation
Author for correspondence.
Email: bookkeep@sibupk.nsk.su
ORCID iD: 0000-0002-9837-4849
SPIN-code: 2681-5230
Scopus Author ID: 57214115901
ResearcherId: A-4325-2018
Head of the Department, Doctor of Economics, Professor
Russian Federation, 26, K. Marx Ave., Novosibirsk, 630087, Russian Federation
Saidmukhtori S. Mukhtorzoda
Tajik State University of Commerce
Email: saidmukhtori.m84@gmail.com
Head of the Innovation Center and Technopark, PhD in Economics, Associate Professor
Tajikistan, 1/2, Dehoti Str., Dushanbe, 734061, Republic of Tajikistan
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