Publication Details
Abstract
This article is devoted to the issues of systematic modeling of environmental constraints in the process of economic growth based on the experience of Uzbekistan and the world. During the analysis, the theoretical foundations of the dependence of economic development on environmental sustainability, methods of modeling them based on a mathematical and systematic approach were considered. At the same time, the impact of factors such as expansion of production, resource scarcity, and growth in waste volume on the economic system was studied in depth. The article mathematically expressed the relationship between economic indicators and environmental indicators using modern modeling methods such as System Dynamics and Input-Output Analysis. The study was conducted on a practical basis on the example of industrial enterprises of the Namangan region, identifying opportunities for reducing the environmental burden while increasing their production efficiency. Also, the long-term negative consequences of economic growth carried out without taking into account environmental constraints were predicted through modeling. According to the results, it was shown that scenarios developed on the basis of systematic modeling of ecological boundaries play an important role in the formation of a sustainable development strategy of Uzbekistan. The article proposes measures to mitigate environmental constraints, such as strengthening environmental requirements by the state, encouraging green technologies, and promoting the efficient use of resources. In conclusion, systematic modeling of ecological boundaries of economic growth is considered a necessary condition for substantiating economic policy, reducing negative environmental impacts, and ensuring the long-term well-being of the population. This scientific work serves as a practical basis for making strategic decisions in the process of Uzbekistan's transition to a green economy. Therefore, the article is of theoretical and practical importance for economists, ecologists, representatives of public administration, and strategic planning specialists.