DOI: https://doi.org/10.36719/2663-4619/124/123-128
Ulkar Karimova
Baku Business University
Master's student
https://orcid.org/0009-0002-0426-5340
kerimovaulkr@gmail.com
Valuation of Infrastructure Assets in the Tourism Industry
Abstract
The article provides an extensive analysis of the valuation of infrastructure assets in the tourism industry and its connection with accounting practices. Against the backdrop of the growing role of tourism in the global economy and the rapid increase in tourism flows, the strategic importance of infrastructure quality is emphasized. Determining the real value of infrastructure assets such as hotels, recreation centers, transport facilities, and recreational and service infrastructure is of critical significance for investment decision-making as well as for developing public–private sector cooperation strategies.
The article explains the recognition, measurement, depreciation, and impairment of assets in financial statements in accordance with IFRS requirements. The main valuation approaches used in the assessment process—cost, income, and market approaches—are presented comparatively, accompanied by practical applications for objects such as hotels, airports, and leisure complexes.
The article further explores contemporary challenges in the valuation of tourism assets and the role of innovative technologies, including GIS, Big Data, artificial intelligence, and digital monitoring systems. It concludes with recommendations regarding the effective auditing of infrastructure assets, the implementation of standardized valuation methodologies, and the strengthening of public–private sector collaboration.
Overall, the article demonstrates that the proper valuation of tourism infrastructure enhances transparency in the sector, increases investment attractiveness, and establishes a strategic foundation for the sustainable development of tourism.
Keywords: tourism infrastructure, valuation of infrastructure assets, asset accounting, IFRS (International Financial Reporting Standards), depreciation, GIS and Big Data