Mechanisms of Using Digital Monitoring and Real-Time Observation Systems in Improving The Methodology of Assessing Green Economy
Abstract
The transition to a green economy has become a global imperative, with growing emphasis on sustainability, environmental protection, and the rational use of resources. Traditional statistical methods are increasingly inadequate for capturing real-time dynamics essential for assessing green economic growth. Uzbekistan has initiated reforms under the “Green Space” strategy, promoting ecological clusters, renewable energy, and sustainable practices. However, the country's methodology for evaluating green growth lacks integration of modern digital technologies. While many advanced economies apply IoT, AI, and GIS tools for green monitoring, Uzbekistan’s current systems remain in early developmental stages and require scientific substantiation and local adaptation. This study aims to develop a methodology for applying digital monitoring and real-time observation systems to assess green economic growth in Uzbekistan, drawing from international best practices. Analysis of pilot projects in regions such as Jizzakh, Kashkadarya, and Tashkent (2020–2024) revealed that digital monitoring increased water use efficiency by 12–18%, improved waste utilization by 25%, and enhanced environmental and economic efficiency by 1.4 times through reduced CO₂ emissions and biofertilizer production. The research proposes a comprehensive mechanism combining digital environmental monitoring, AI-based analysis, GIS visualization, and blockchain-secured data for real-time, transparent, and accurate assessment. Implementation of these systems will significantly enhance the reliability of green indicators, facilitate informed decision-making, and contribute to achieving Uzbekistan’s sustainable development goals through effective integration of public-private initiatives and digital infrastructure investment.
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