The article discusses the importance of marketing in the market of renewable energy sources. Alternative energy and its development significantly depend on the country and the climatic conditions of a particular area. In Russia, alternative energy, its development, lags behind world leaders. There are several reasons for this. The first reason is the large reserves of fuel and energy raw materials and their low cost. The second reason is the low utilization rate of the installed capacity of alternative energy. The third reason is that the weather conditions in Russia are nonhomogeneous and not very suitable for the development of alternative energy. A promising direction for the development of alternative energy is small alternative energy. Marketing is built on effective market segmentation, increasing end-user awareness and customer education efforts. The article also provides recommendations for improving the effectiveness of marketing, its special features, taking into account altruism, paternalism and moral satisfaction ofcustomers.
The interaction of agricultural entities is based on modern market relations and the state agrarian policy. Managing the subjects of the agricultural sector of the economy is the primary task of the state, since the provision of food security of the state depends on this. The subject of the study is the establishment of relations of the agricultural sector of the country. In the grouping method, a direct relationship was established between the sum of agricultural production in farms of all categories in the constituent entities of the Russian Federation and the number of employees in the regional agro-industrial complex of the agricultural sector, as well as the number of departments in them. The purpose and objective of the study is to highlight the main functions of state administration of the agricultural sector at the regional level, to identify the lack of an effective mechanism for interaction of the subjects of the agricultural market with each other and with the regional authorities of the agricultural sector. The presented model of optimizing the relationships between the agrarian entities of the region will increase the efficiency of the agrarian sector of the region’s economy and ensure its food security. The necessity of planning and forecasting the volumes of production and use of agricultural products and raw materials is substantiated. The system of such forecasting includes such subsystems as agricultural enterprises, processing enterprises, and the population of the region. It is concluded that each subsystem works on a well-formed and well-founded functional model, which includes input and output information, controls that regulate functioning, as well as mechanisms that ensure such functioning. A special role in the forecasting process is assigned to the regional management bodies of the agro-industrial sector represented by the department for optimizing the interaction of agricultural entities in the region. The final forecast result should be a balance model of the degree of food security in the region's population.
Purpose: The article reveals the authors' approach to forecast the socioeconomic development of a region. Design/Methodology/Approach: The framework of this approach envisages the construction of three interrelated models: a matrix predictor, an autoregressive model, and a binary choice logit model. This approach ensures an adequate reproduction of the systemic dynamics of indicators of regional socioeconomic development. Findings: Authors' models require their implementation in the state management function of the regional economy and testing with specific examples illustrating opportunities of multidimensional economic and mathematical modeling of difficult socioeconomic phenomena and processes. Practical implications: Authors' development represents a conceptual foundation for the development of digital regional socioeconomic monitoring systems providing an opportunity for a qualitative increase in the reliability and relevance of prognostic parameters. Originality/Value: The contribution of the article is assessment of an opportunity to model the dynamics of multidimensional processes with the perspective to build a combined forecast model of the socioeconomic development of the region, providing for the implementation of multivariate forecast calculations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.