IMPLEMENTING THE UN STATISTICAL STANDARD MST IN UZBEKISTAN: DATA GAP ANALYSIS AND INTEGRATION PATHWAYS

This study assesses the readiness of Uzbekistan’s national statistical system to implement the United Nations Measuring the Sustainability of Tourism (MST) framework. The research applies a two-stage methodology, including a gap analysis of official environmental statistics and a proxy-based estimation of energy intensity using sectoral data (NACE Rev. 2). The findings reveal significant statistical limitations, particularly the inability to disaggregate tourism-related environmental impacts from aggregated national data. Empirical results indicate elevated energy intensity in accommodation (4.85%) and especially in arts, entertainment, and recreation (5.66%), with a strong dependence on electricity, highlighting hidden resource pressures beyond transport. The study identifies structural inefficiencies and “distributed environmental responsibility” within the tourism value chain. It proposes a stepwise implementation roadmap based on administrative reforms, digital integration via the E-mehmon platform, and economic incentives. The conclusion emphasizes that without MST adoption, tourism growth risks generating unmonitored environmental costs, undermining long-term sustainability.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-27
DOI
https://doi.org/10.5281/zenodo.19322155
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
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article

IMPLEMENTING THE UN STATISTICAL STANDARD MST IN UZBEKISTAN: DATA GAP ANALYSIS AND INTEGRATION PATHWAYS

Suriya Turayeva, Roza Ismatillayeva
Zenodo (CERN European Organization for Nuclear Research)
Diverse Aspects of Tourism Research
article

IMPLEMENTING THE UN STATISTICAL STANDARD MST IN UZBEKISTAN: DATA GAP ANALYSIS AND INTEGRATION PATHWAYS

Suriya Turayeva, Roza Ismatillayeva
article en

Abstract

This study assesses the readiness of Uzbekistan’s national statistical system to implement the United Nations Measuring the Sustainability of Tourism (MST) framework. The research applies a two-stage methodology, including a gap analysis of official environmental statistics and a proxy-based estimation of energy intensity using sectoral data (NACE Rev. 2). The findings reveal significant statistical limitations, particularly the inability to disaggregate tourism-related environmental impacts from aggregated national data. Empirical results indicate elevated energy intensity in accommodation (4.85%) and especially in arts, entertainment, and recreation (5.66%), with a strong dependence on electricity, highlighting hidden resource pressures beyond transport. The study identifies structural inefficiencies and “distributed environmental responsibility” within the tourism value chain. It proposes a stepwise implementation roadmap based on administrative reforms, digital integration via the E-mehmon platform, and economic incentives. The conclusion emphasizes that without MST adoption, tourism growth risks generating unmonitored environmental costs, undermining long-term sustainability.

Zenodo (CERN European Organization for Nuclear Research)
University of World Economy and Diplomacy (UZ)
Decent work and economic growth
Openalex Percentile: Top 2%
Diverse Aspects of Tourism Research
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