MODELING OF ECONOMIC BASIS AND FORECAST INDICATORS OF INNOVATION TRANSFORMATION PROCESSES IN AGRICULTURAL ENTREPRENEURSHIP
Kalit so'zlar
https://doi.org/10.65451/iqtisodiyotuzb.v6i8.14652Annotasiya
This article examines the economic foundations of innovation transformation processes in agricultural entrepreneurship and analyzes the key factors influencing their development. The impact of innovative technologies on productivity, resource efficiency, and competitiveness is assessed using econometric modeling methods. Forecast indicators of innovation transformation are developed to evaluate future development trends in agricultural entrepreneurship. The study provides
recommendations for improving innovation-driven growth and sustainable agricultural development.
Manbalar
1. Food and Agriculture Organization (FAO). The State of Food and Agriculture 2024. Rome: FAO, 2024.
2. OECD. Innovation, Agricultural Productivity and Sustainability. Paris: OECD Publishing, 2023.
3. Wolfert S., Ge L., Verdouw C., Bogaardt M.J. Big Data in Smart Farming: Current Status and Future Perspectives. Agricultural Systems, 2023.
4. World Bank. Digital Agriculture Transformation Report 2024. Washington DC: World Bank, 2024.
5. Zhang Y., Wang X., Li J. Innovation Investment and Agricultural Economic Growth: Empirical Evidence. Sustainability, 2024, 16(4).
6. Kumar R., Singh P. Forecasting Agricultural Development Indicators Using Machine Learning Models. Computers and Electronics in Agriculture, 2024, 218.
7. United Nations. Global Sustainable Development Report 2024. New York: UN Publications, 2024.
8. European Commission. Digitalisation and Innovation in Agriculture. Brussels: European Union, 2023.
9. Khan M., Ahmed S., Rahman T. Sustainable Agricultural Entrepreneurship and Innovation Transformation. Journal of Rural Studies, 2025, 102.
