ЭКОНОМИЧЕСКИЕ МЕТОДЫ НИВЕЛИРОВАНИЯ УГЛЕРОДНОГО СЛЕДА В ЗЕРНОПРОДУКТОВОМ ПОДКОМПЛЕКСЕ

Abstract

Trends in digitalization and leveling the carbon footprint predetermine priority areas for the grain product systems development. The role of sustainable development of such systems, which covers the entire chain of agro-industrial enterprises, is growing, since 25% of the entire carbon footprint is formed in agriculture and related industries. The energy profile of the world economy is undergoing fundamental structural changes under the influence of the emerging global climate policy, on the one hand, and under the influence of massive technological innovations, on the other hand. Currently, there are no single schemes for reducing the carbon footprint and its impact on the efficient production of large economic systems in the agro-industrial complex. The scientific novelty of the research will lie in the application of deductive, inductive and traductive reasoning in the study of the problems of reducing the carbon footprint and its impact on the efficient production of large economic systems using the grain product subcomplex as an example. Assessment of the impact of the carbon footprint on the economic efficiency of the economic mechanism of the grain product subcomplex, including its innovative and investment component is a problem that does not have an unambiguous solution. In modern economic conditions, grain product subcomplexes are complex social and economic systems that have diverse hierarchically structured connections. The analysis of the impact of the distribution of the carbon footprint in conjunction with the assessment of the economic efficiency of the economic mechanism of the agro-industrial complex of the region, its innovative and investment component in the context of the digital path of economic development is among the most relevant and significant for the national economy of the country. The theoretical significance of the study lies in combining the concept of ecologization of the economy (carbon footprint) with the concept of determining the economic efficiency of hierarchically complex economic systems. The practical scientific significance lies in the development of a methodology for evaluating the performance of hierarchically complex economic systems in the context of a digital path of economic development. The scientific problem is to identify patterns in the distribution of the carbon footprint throughout the chain of production, distribution, exchange and consumption of grain, as well as in an objective and systematic assessment of the economic efficiency of the economic mechanism of the grain subcomplex (including the innovation and investment component), including in the possibility of assessing and non-economic activities (social, environmental, etc.).