Affiliation:
1. Turan-Astana University
2. SibNIIESKH SFSC RAS
3. Kazakh Research Institute of Agricultural Economics and Rural Development
Abstract
Modern forecasting methodology is quite flexible and multifaceted. Foresight tools can be widely used at different hierarchical levels of management. The use of a systemic approach in combination with foresight technologies makes it possible to develop strategic plans for the development of rural areas in terms of improving their economic and social component. The purpose of the study is to establish the scientific basis for the use of Foresight methodology in strategic planning for the development of rural areas. The scientific novelty of the research is determined by the development of an algorithm for strategic planning of rural development on the basis of foresight methodology and the formation of a set of practical recommendations for the use of foresight tools at the regional level of management in rural areas. The article analyzes Foresight projects and programs used in forecasting rural management and development. The study presents a Foresight algorithm for strategic planning of rural development and a mechanism for its implementation at the local level. The main components of the procedure were formed as a result of a comprehensive Foresight analysis of alternative rural development scenarios. Foresight technologies must be used as a systematic tool for the formation and implementation of a strategy for sustainable development of rural areas. The main results of the study include: generalization of the experience of Foresight studies of rural development; development of an algorithm for strategic planning of rural development based on Foresight methodology; formation of alternative scenarios for the development of rural areas at the regional level. Methodological approaches and provisions for strategic planning of rural development, developed using the Foresight methodology, can be used in creating road maps and strategic plans for the socio-economic development of rural areas.
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