OPPORTUNITIES TO INCREASE THE ENVIRONMENTAL EFFECTIVENESS OF GREEN PROJECTS

This article examines the opportunities for improving the environmental effectiveness of green projects and emphasizes the importance of precise, multi-stage, and context-specific evaluation criteria. The study analyzes the current indicators used in Uzbekistan—such as waste volume, energy and water consumption, and the share of green areas—and highlights their limitations in capturing deeper impacts related to ecosystem services, climate resilience, and biodiversity. As a solution, the paper proposes the introduction of a comprehensive indicator system measured across the entire project life cycle, including ex-ante, in itinere, and ex-post stages. Particular attention is given to the integration of digital technologies such as IoT, GIS, remote sensing, and artificial intelligence, which enhance the objectivity, transparency, and real-time monitoring capacity of environmental assessments. The study also argues for sector-specific differentiation of evaluation criteria to better address the unique characteristics of agriculture, energy, industry, transport, and housing sectors. The article concludes that digital integration, regulatory improvement, targeted planning, and broader participation of local communities and the private sector are ключ factors for ensuring long-term sustainability and higher ecological impact of green projects.本文探讨提升绿色项目环境效益的可行路径，并着重强调精准化、多阶段且贴合具体场景的评估准则的重要性。本研究分析了乌兹别克斯坦当前采用的各类评估指标——包括废物排放量、能源与水资源消耗量、绿地占比等——并指出这些指标在捕捉生态系统服务、气候韧性与生物多样性相关的深层影响时存在局限性。作为解决方案，本文提出构建覆盖项目全生命周期（涵盖事前、事中与事后三个阶段）的综合指标体系。研究特别关注物联网（IoT）、地理信息系统（GIS）、遥感（Remote Sensing）以及人工智能（Artificial Intelligence）等数字技术的集成应用，此类技术可有效提升环境评估的客观性、透明度与实时监测能力。本研究同时主张对评估准则进行分行业差异化设置，以更好地适配农业、能源、工业、交通及住房领域的独特属性。本文最终得出结论：数字技术集成、监管体系优化、精准规划，以及地方社区与私营部门的广泛参与，是保障绿色项目长期可持续性与更高生态效益的关键因素。