This article analyzes the aspects of territorial marketing and their influence on the spatial development of the territory, as well as the financial components of this problem. Having applied economic-mathematical and statistical methods, the authors have analyzed the socio-economic indicators and investment potential of Kirov region. They have come to the conclusion that the financing of spatial development of the territory’s investment potential is performed mainly using the federal and regional budget funds within the framework of the approved Development Strategy of Territories, considering the available resources and the degree of customer satisfaction by the territorial product. Using the methods of abstractly logical judgments and expert assessments, a step-by-step process of strategic positioning of the territory was developed with the indication of specific methods for each stage, based on the existing resource basis and prospects of its development by attracting additional funds. Attraction of additional investments in spatial territorial development by means of tools of territorial marketing is possible due to the improvement of social and economic potential of the Kirov region, increase of satisfaction of target groups by territorial product, and also the development and implementation the strategy of territorial positioning, taking into account its strengths and weaknesses.
Grain is one of the main elements of food security of both the country and the region. Without grain production, the development of the food industry, animal husbandry and other branches of the agro-industrial complex is impossible. Between 2001 and 2021 in the Kirov region, the sown areas of winter rye and oats decreased by almost 3 times, spring wheat by 2 times. In general, the decrease in the area under crops of grain and leguminous crops during the study period amounted to 353.2 thousand hectares or 53%. In the structure of crops, the shares of winter rye and oats significantly decreased against the background of an increase in the share of winter wheat crops. During the period under review, the productivity of grain and leguminous crops in the region varied from 12.6 c/ha in 2004 and 2006 to to 21.7 centners/ha in 2019. On average, 16.9 centners were collected per unit area during the study period, with a coefficient of variation of 17.9%. The constructed linear trend indicates a tendency for an average annual increase in yield by 0.3 c/ha. Average annual gross harvest of cereals and legumes 2015-2020 compared to 2001 - 2005 decreased by almost 20%. Grain production per capita declined significantly over the study period, amid a decline in livestock and poultry in the region.
The article presents a method for assessing the toxic effects of heavy metals by means of bioassay, which is a complex of different approaches for assessing the state of different organisms under the influence of environmental factors. To determine the phytotoxicity of soil, theoretical methods, methods of model experiments, as well as methods of biological diagnostics can be used. It is the methods of biological diagnostics that allow us to study the toxic effect of heavy metals on the growth and development of plants.
This article analyzes the aspects of competence approach in improving the skills of project managers, as well as the main approaches to the study of the organization’s competence in the field of project management. Having applied generalization and systematization of different models of competence-based approach, the authors developed a mechanism for assessing the competence of the organization in the field of project management. The analysis concluded that increasing the level of organizational maturity and individual competence of project management specialists contributes to the growth of project culture and project implementation within the established limits and success criterion, and so, therefore, allows the organization to implement the set strategic objective, overcome the contemporary strategic challenges with a minimum of losses, improve the financial efficiency of the organization generally. Using the SOVNET methodology to assess the level of individual competence of employees and the organizational maturity model of project management, the close correlation and identity of these two values is proved as a percentage of the ideal level by the results of measurements on the example of an oil refining company.
Forecasting significance in the energy market is extremely high. Demand for electricity determines the key decisions on its purchase and production, load transfer and transmission control. Over the past few decades, several methods have been developed to accurately predict the future of energy consumption. This article discusses various methods for forecasting energy demand. Three blocks of methods are considered: statistical, methods using artificial intelligence and hybrid. Authors defined the metrics that show the quality of the models and help to compare the results of the models: mean absolute error (MAE), mean absolute percentage error (MAPE), root-mean-square deviation (RMSE), minimum and maximum errors on the test sample. A comparative analysis of forecasting methods has been lunched on the open data set. The best result is obtained using a combined model based on the Lasso regression method. The accuracy and speed of predictions helps to get an economic effect from regulating generation by selling electricity at the peak of consumption.
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