Resumption Of Production Research Articles

STATISTICAL ASPECTS OF THE STUDY OF THE DYNAMICS OF INDUSTRIAL ENTERPRISES DEVELOPMENT

The article presents practical aspects of statistical research of the dynamics of development of industrial enterprises. It is determined that the main task of a statistical study of industrial enterprises is to determine the volume of industrial production, its structure; analysis of plan implementation by volume and assortment, grade, completeness, rhythm; identification of additional reserves. It is proved that in order to raise the level of industrial production statistics in Ukraine, it is necessary to make certain changes in the proportions of individual industries, and they should be consistent and interrelated. The study found that the main factors of industrial recovery will be: a gradual improvement in the situation on world markets, the resumption of production in certain sectors of the economy, improvement of the financial condition of enterprises, as well as an increase in investment and consumer demand. The following mathematical and statistical methods are used depending on the purpose of the statistical study and the nature of the source data: 
 1) mathematical methods of quantitative characterization of relationships: correlation and regression analysis; operations research and queuing theory; economic cybernetics; classical methods of elementary mathematics; simulation modeling; functionally hierarchical (forecast scenarios); methods of structural analogy; method of expert estimates; 
 2) statistical methods of quantitative characterization of relationships: analysis of variance; correlation analysis; method of analytical groupings; rank correlation; complex statistical coefficients; statistical equations of dependencies; statistical indices; indicators of dynamics analysis.
 When choosing statistical methods for studying socio-economic phenomena, it is necessary to take into account their interconnectedness and interdependence. Any phenomenon is the result of a certain set of causes and is the cause of other phenomena and processes. Therefore, the statistical study of the interrelationships of economic phenomena and processes should be approached comprehensively, trying to classify a wide range of methods that allow them to be quantified.

Impact of the emergency response to COVID-19 on air quality and its policy implications: Evidence from 290 cities in China

The emergency response to the COVID-19 pandemic had an extreme exogenous impact on society and the economy. This paper aims to explore the impacts of the national emergency response and the subsequent emergency response termination on air quality and its policy implications through regression discontinuity design (RDD) estimation by employing panel data on daily air quality from January 1, 2019, to July 31, 2020, for 290 cities in China. The empirical results showed that the emergency response resulted in a significant decrease in most of the major pollutant concentrations within a short time frame, and the average air quality index (AQI) decreased by approximately 11.0%. The concentrations of PM2.5, PM10, SO2, NO2, and CO decreased by approximately 18.8%, 13.1%, 13.5%, 11.1% and 6.7%, respectively, while the O3 concentration did not change significantly. Further causal analysis found that mandatory traffic restrictions and the shutdown of industries were two important factors that contributed greatly to air quality improvement. Moreover, since the process of returning to normal daily activities and promoting the economy were gradual, the results showed that air pollution did not rebound immediately after the government called for the “resumption of production and work” and announced the “termination of the emergency response”. Our findings suggest that to achieve a substantial and sustainable improvement in air quality, it is necessary to continuously implement strict emission control routines and take co-control measures for various VOCs precursors of ozone.

Stability of the optimal schedule for perishable product processing

In linear programming tasks, the optimal solution can remain the same even with a significant deviation of the initial data. Thus, when studying various problems in economic and mathematical analysis, the question of the optimal solution stability often arises. The problem of finding the optimal schedule for processing perishable products is solved below. For example, we could refer to sugar beet, an important strategic product that degrades during storage, losing sucrose over time according to some law, depending on time and (or) variety. Other things being equal, with an increase in incoming sucrose, the yield of the final product - sugar, also increases, therefore, by maximizing incoming sucrose, it is possible to significantly increase the production profitability. In practice, equipment often breaks down, therefore, the processing of raw materials stops for a while, but not its degradation. In this regard, the optimal schedule after the production resumption may change, or it may remain the same. Definitions of the optimal schedule stability are given. It is proved that the optimal schedules for the main special cases are absolutely stable. Examples of conditional stability and local stability for a period are given, as well as a numerical experiment showing averaged absolute and relative losses for various parameters of raw materials batches and various periods of production stoppage.

An economic assessment of agricultural brownfield revitalization – A case study of Eastern Slovakia

The presented article points out the possibilities of elimination of agricultural brownfield in the East Slovak region through the resumption of production by growing fast-growing woody plants, specifically Paulownia and apple trees. Based on a detailed analysis of the necessary investment costs associated with the resumption of production and the prediction of sales of produced Paulownia and apple trees, the article presents a quantification of economic payback time from the proposed three options for resumption of crop production in the agricultural brownfield. Based on clearly identified determinants of decision-making on the optimal possibility of the revitalization of agricultural brownfield in interaction with the evaluation of the so-called weighted sum (multicriteria decision-making method), the article concludes by pointing out the effective possibility of resuming crop production in the revitalized area of the agricultural brownfield. The results revealed that the growth of Paulownia for the production of biomass is the best method of agricultural brownfield remediation.

Моделирование импортозамещающего развития отрасли на основе метода экономического креста

Abstract. The practice of countering sanctions in Russia in 2014-2021 and the sanctions crisis of February-April 2020 showed that ensuring the economic security of the country on the basis of import substitution is impossible without the formation of integral continuous food chains. Between 2014 and 2021, the country successfully managed to form its own manufacturer in such critical sectors of its economy as agriculture, software manufactur-ing, production of means of production, and production of its own equipment for export industries, including oil and gas production. At the same time, the dependence of the re-spective manufacturers on foreign components, foreign labor and foreign services re-mains a significant problem. For a number of sectors of the domestic economy, including the aircraft industry and the automotive industry, dependence on intermediate links in supply chains controlled by a foreign manufacturer remained critical at the beginning of 2022, which gave grounds to start a discussion at the level of the country's leadership about the inevitability of taking extraordinary measures to preserve industry in the me-dium term. Projects are being discussed regarding the resumption of production of do-mestic models and components using obsolete technologies, including Soviet technolo-gies. So, in relation to the automotive industry, the expediency of resuming the produc-tion of E0 class engines is being discussed. At the same time, in the long term, effective import substitution is impossible without complex modeling of the industry architecture based on the use of innovative technologies. The purpose of this work is to adapt the previously proposed by the authors methodology of the "Economic Cross" in relation to the current needs of the sectoral import substitution. The key aspects that require moni-toring by the organizer of import substitution at the industry level and possible direc-tions for identifying and involving the intellectual resource of the development of the Russian economy in the process of import substitution using the proposed method of economic planning and forecasting are identified.

Artificial intelligence against the first wave of COVID-19: evidence from China

BackgroundThe COVID-19 pandemic unexpectedly broke out at the end of 2019. Due to the highly contagious, widespread, and risky nature of this disease, the pandemic prevention and control has been a tremendous challenge worldwide. One potentially powerful tool against the COVID-19 pandemic is artificial intelligence (AI). This study systematically assessed the effectiveness of AI in infection prevention and control during the first wave of COVID-19 in China. MethodsTo better evaluate the role of AI in a pandemic emergency, we focused on the first-wave COVID-19 in the period from the early December 2019 to the end of April 2020 across 304 cities in China. We employed three sets of dependent variables to capture various dimensions of the effect of AI: (1) the time to the peak of cumulative confirmed cases, (2) the case fatality rate and whether there were severe cases, and (3) the number of local policies for work and production resumption and the time span to having the first such policy. The main explanatory variable was the local AI development measured by the number of AI patents. To fit the features of different dependent variables, we employed a variety of estimation methods, including the OLS, Tobit, Probit, and Poisson estimations. We included a large set of control variables and added interaction terms to test the mechanisms through which AI took an effect.ResultsOur results showed that AI had highly significant effects on (1) screening and detecting the disease, and (2) monitoring and evaluating the epidemic evolution. Specifically, AI was useful to screen and detect the COVID-19 in cities with high cross-city mobility. Also, AI played an important role for production resumption in cities with high risk to reopen. However, there was limited evidence supporting the effectiveness of AI in the diagnosis and treatment of the disease.ConclusionsThese results suggested that AI can play an important role against the pandemic.

Modelling Underload Cascading Failure and Mitigation Strategy of Supply Chain Complex Network in COVID-19

The outbreak of COVID-19 has caused problems such as shortage of workforce, cost increase, cash flow tension, and uncertainty of supply chain. It has a specific negative impact on the raw material supply, procurement management, production resumption, logistics, and market of the supply chain, which can trigger cascading failures in supply chain networks. Aiming at the failure of upstream/downstream firms in supply chain networks due to the decreased product demand/material supply under the COVID-19, the present study adopted an underload cascading failure model for the supply chain networks. In this model, the hierarchical supply chain networks were constructed based on the Erdos Renyi (ER) model and Barabasi Albert (BA) model. The validity of the model was verified under random attack and target attack. In the random attack mode, the influences of model parameters were studied, and in the target attack mode, the influence of target protection and random protection measures on enhancing network invulnerability was also studied. Simulation results showed that the initial load and capacity lower bound of nodes impact cascading failure size. The former has a positive correlation with cascading failure size, while the latter negatively correlates with cascading failure size. Furthermore, random protection measures are more practical to prevent cascading failures.

Long-Term Impacts of COVID-19 Lockdown on the NO2 Concentrations and Urban Thermal Environment: Evidence from the Five Largest Urban Agglomerations in China

Under the threat of COVID-19, many regions around the world implemented lockdown policies to control the spread of the virus. This restriction on both social and economic activities has improved the quality of the environment in certain aspects. However, most previous studies have only focused on the short-term impact of lockdown policies on the urban environment. The long-term effects of lockdown require a more focused exploration and analysis. Thus, five major urban agglomerations in China were selected as the research area; changes in the numerical and spatial distribution of NO2 concentration and surface temperature during four different lockdown stages in 2019, 2020, and 2021 were investigated to analyze the long-term effects of lockdown policies on the urban environment. The results indicated that the impact of shorter lockdowns was short-term and unsustainable; the NO2 concentrations increased again with the resumption of production. Compared with air pollutants, thermal environmental problems are more complex. The effect of the lockdown policy was not reflected in the decrease in the area proportions of the high- and sub-high-temperature regions but rather in the spatial distribution of the high-temperature area, which was manifested as a fragmentation and dispersion of heat source patches. In addition to the severity of the lockdown, the impact of the lockdown policy was also closely related to the level of development and industrial structure of each city. Among the urban environments of the five agglomerations, the most affected were the Yangtze River Delta and Yangtze River Middle-Reach urban agglomerations, which had the largest decline in NO2 concentrations and the most notable fragmentation of heat source patches.

Gas-dynamic characteristics of the host rocks of Mir pipe mine field deep horizons

The purpose of the research is to study the gas-dynamic characteristics of deep horizons of the Mir pipe mine field to ensure industrial safety under construction and production resumption at the field. The study is based on the interval field experiments carried out during drilling and subsequent study of the core. The main gas-dynamic parameters of the deep horizons of the field were studied during the drilling of pilot wells that enabled to perform interval determination of the flow rates of formation gases using packers and complex research equipment, gas sampling for the determination of chemical composition of gases, and gas logging. The conducted works resulted in the formulation of the gas-dynamic characteristic of the Tolbachan formation within the mine field of the Mir pipe. Reservoir intervals were identified and the nature of their fluid saturation was determined. The chemical composition of formation gases was clarified and gas release nature and intensity were studied both under drilling and interval testing. The result of the research carried out was identification of zones with different fluid manifestations, as well as comparison of the field under investigation with the previously studied International pipe. The results of the conducted research works will form the basis for performing design forecast calculations, as well as for making the main design decisions under construction of capital mine workings, especially in terms of advanced degassing of the mountain range. Consideration of the zones identified within the Tolbachan formation, which feature different nature of fluid saturation, will allow to take into account and minimize possible adverse factors.

The COVID-19 Pandemic and Economic Growth: Theory and Simulation.

The outbreak of COVID-19 pandemic has caused profound consequences on world economy. In order to explore the long-term impact of the pandemic on economic growth and the effects of different policy responses, this paper combines economic theory with epidemiological model to construct an interdisciplinary model, in which labor supply is dynamically constrained by pandemic conditions. Analysis of model equilibrium suggests that outbreaks of infectious disease reduce labor supply and negatively affect economic output. The accumulation of health capital can suppress the spread of disease and improve the recovery rate of infected individuals, which will alleviate the labor supply constraint caused by the pandemic and lead to an increase in output and consumption. The model is then calibrated to Chinese economy. The simulation results imply that government's public health policy can enhance the role of health capital in promoting economic growth. But the marginal effect of certain policies is diminishing. Therefore, the government needs to balance pandemic prevention and control costs and marginal benefits when formulating public health policies. When the pandemic is under control, the resumption of production is feasible and the economic stimulus package could lead to economic recovery.

Coagulation and Immune Characteristics in a COVID-19 Case

An outbreak of respiratory illness, officially named Coronavirus Disease 2019 (COVID-19), has spread rapidly worldwide. The domestic situation has been controlled, now the resumption of production and work as well as people's normal life has been accelerating. We focused this article on laboratory changes in the infection confirmed case of COVID-19 hospitalized to clarify the immune characterizations and coagulation system. Coagulation dysfunction is common in patient with COVID-19, especially fibrinogen and APTT, and the degree of elevation is related to immune characteristics. As the disease recovers, fibrinogen, APTT and CD8+ T cells also return to normal.

The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces

The ongoing Coronavirus Disease 2019 (COVID-19) broke out in China since December 2019, and rapidly spread worldwide. To contain the disease, unessential businesses had been shut down in several countries to a varying extent. Nowadays, the enterprises are resuming productions and businesses. While the resumption of production is crucial to social development, it elevates the risk of cluster-infections at the workplaces. Guangdong Second Provincial General Hospital therefore set up the Smart Safeguard System for COVID-19, aiming to provide rapid screening and consistent protection to assist the local enterprises with resumption. The system has received positive feedback as being helpful and practical. It has the potential to be widely used to prevent the cluster-infection of COVID-19 at workplaces during the pandemic.

CRM as a tool to maintain the competitiveness of enterprises in the global digital economy

Research background: Globalization is characterized by the interconnection of national economies, which may be more vulnerable in this way. Economic and social shocks caused by the global nature of the socio-economic environment have now shown, especially in connection with covid19, the need for a deeper focus of companies on customers. Purpose of the article: The need for communication, the search for new market opportunities, and the resumption of production in the post-crisis period could be significantly affected by the use of digital technologies aimed at clients and customers. The ongoing research “Application of systems for customer relationship management in the environment of small and medium-sized enterprises” has shown that customer orientation can be significantly supported and streamlined by using Customer relationship management (CRM) systems. The paper compares the use of CRM in EU countries and identifies critical points. Methods: Using methods of system analysis, especially mathematical prediction, statistical methods, and multicriteria analysis, the use of CRM in EU countries is compared in relation to selected factors of the digital economy. Findings & Value added: Years with major declines and disproportions have been identified. The declines in developed economies (Germany, France, Austria etc.) in 2019 are specific, related mainly to the use of new forms of customer service. It turns out that although companies are streamlining their marketing efforts through CRM and focusing on maximizing potential through customers, CRM is only an integral part of ICT and can be replaced in the global environment by other tools of the digital economy.

Создание виртуальных моделей местности на базе данных лазерного сканирования для нужд сейсморазведки

Seismic exploration is important for development of new fields and the resumption of production at old areas of oil production. These works involve studying of underground geological structures using seismic profiling and seismotomography methods. In fact, detailed information about the territory is necessary for almost every participant in the process—to find the optimal routes for movement on terrain, to optimize the volume of forest felling on profiles, for georeferencing and checking coordinate measurements at points, etc. The availability of spatial data is also important for increasing the level of safety and trouble-free operation during work. One of possible solutions is to perform field surveys using aerial photography and airborne laser scanning, followed creation of virtual models based on them with instrumentation adapted to the specifics of these works. Modern GIS, with all their development, has number of disadvantages. It is difficult to use GIS by non-specialists; full-featured GIS are expensive, and free solutions has limited analysis functionality and can’t make good 3D visualizations, it is difficult to protect spatial information from unauthorized copying. These problems can be solved without using classic GIS packages. Instead, it is proposed to use virtual environments closed from editing and access to the original data. Test area of 69 km2 in the Khanty-Mansiysk Autonomous Okrug was selected for testing virtual modeling technologies. LIDAR and aerial photography datasets were obtained, and subsequent processing of the resulting was done, forming highly-detailed virtual environment. The article discusses the main features and functionality of this model.

Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data.

BackgroundThe COVID-19 pandemic has created a global health crisis that is affecting economies and societies worldwide. During times of uncertainty and unexpected change, people have turned to social media platforms as communication tools and primary information sources. Platforms such as Twitter and Sina Weibo have allowed communities to share discussion and emotional support; they also play important roles for individuals, governments, and organizations in exchanging information and expressing opinions. However, research that studies the main concerns expressed by social media users during the pandemic is limited.ObjectiveThe aim of this study was to examine the main concerns raised and discussed by citizens on Sina Weibo, the largest social media platform in China, during the COVID-19 pandemic.MethodsWe used a web crawler tool and a set of predefined search terms (New Coronavirus Pneumonia, New Coronavirus, and COVID-19) to investigate concerns raised by Sina Weibo users. Textual information and metadata (number of likes, comments, retweets, publishing time, and publishing location) of microblog posts published between December 1, 2019, and July 32, 2020, were collected. After segmenting the words of the collected text, we used a topic modeling technique, latent Dirichlet allocation (LDA), to identify the most common topics posted by users. We analyzed the emotional tendencies of the topics, calculated the proportional distribution of the topics, performed user behavior analysis on the topics using data collected from the number of likes, comments, and retweets, and studied the changes in user concerns and differences in participation between citizens living in different regions of mainland China.ResultsBased on the 203,191 eligible microblog posts collected, we identified 17 topics and grouped them into 8 themes. These topics were pandemic statistics, domestic epidemic, epidemics in other countries worldwide, COVID-19 treatments, medical resources, economic shock, quarantine and investigation, patients’ outcry for help, work and production resumption, psychological influence, joint prevention and control, material donation, epidemics in neighboring countries, vaccine development, fueling and saluting antiepidemic action, detection, and study resumption. The mean sentiment was positive for 11 topics and negative for 6 topics. The topic with the highest mean of retweets was domestic epidemic, while the topic with the highest mean of likes was quarantine and investigation.ConclusionsConcerns expressed by social media users are highly correlated with the evolution of the global pandemic. During the COVID-19 pandemic, social media has provided a platform for Chinese government departments and organizations to better understand public concerns and demands. Similarly, social media has provided channels to disseminate information about epidemic prevention and has influenced public attitudes and behaviors. Government departments, especially those related to health, can create appropriate policies in a timely manner through monitoring social media platforms to guide public opinion and behavior during epidemics.

Bio-statistical Analysis on the Enterprise Dynamic Management in the COVID-19 Pandemic

Background: With the worldwide spread of the novel coronavirus (COVID-19), the global economy has entered a cold winter, and the International Monetary Fund predicts that the global economy will shrink by about 3% in 2020. The outbreak of the epidemic has also caused heavy losses to the Chinese economy. In the first quarter of 2020, actual GDP fell sharply for the first time by 6.8% year-on-year for the first time. This is the first decline since record. Then, according to the data from the business survey in March, China's economy has improved compared with February, which shows that the economy has rebounded under the influence of policies. Judging from the current situation, although China has passed the peak period of the epidemic, affected by the high cases abroad, it can only be carried out slowly for the resumption of production. Enterprises, as micro-individuals under the macro economy, need to pass through analyzing the dynamic management of the enterprise to deepen the reform of the commercial system and stimulate the vitality of the enterprise. This will also provide data support for the government formulating relevant policies, which is conducive to the synergy of various policies and enhance the momentum of economic recovery. On the other hand, we choose tourism as our specific research object. Thus, we need to set different scenarios according to the development situation of the epidemic, evaluate the impact of the novel coronavirus epidemic on China's tourism industry, and discuss tourism development and opportunities in the post-epidemic era from the aspects of tourism's response to the epidemic and the development trend of the tourism after the epidemic [4].

The Coronavirus Will Not Change the long-Term Upward Trend of China’s Economic Development

The author investigates the impact of COVID‑19 and macro-policy adjustment on China’s economic development. The aim is to describe the situation and trend of China’s economic development before and after COVID‑19. The research method is the comparative data analysis. The study shows that in response to COVID‑19, the Chinese government, on the one hand, has accelerated its opening-up, taken the opportunity of fighting against the pandemic to provide medical assistance to and cooperate with other countries, and actively promoted the building of a community with a shared future for mankind and the process of globalization. On the basis of the Belt and Road Initiative and multilateral, regional, and subregional cooperation mechanisms such as the United Nations, Shanghai Cooperation Organization, BRICS (Brazil, Russia, India, China, South Africa), G20 (Group of 20), and APEC (Asia-Pacific Economic Cooperation), China and the Eurasian Economic Union began to cooperate more frequently and the trade relations between Japan, South Korea, and European developed countries became closer. Meanwhile, committed to building a global interconnection partnership, China actively participates in global economic governance and provides various public products. The Chinese government has proposed “Six Guarantees” on the basis of “Six Stability”. In order to achieve the purpose of stabilizing foreign trade and expanding imports, China has imposed various measures to accelerate the liberalization and facilitation of international trade and investment, such as implementing the new version of the “Foreign Investment Law”, establishing free trade zones, and promoting its experience and organizing international import expositions. Additionally, the Chinese government also implemented targeted fiscal and monetary policies, increased support for enterprises, especially small and medium-sized enterprises, and promoted the construction of “new infrastructure” and innovation of business model, which have formed the driving forces for the transformation of the economic development model in China from traditional business to cloud business, from traditional marketing to live streaming marketing, from traditional sales to online sales. The author concluded thatChina’s adjustment of macro policies in response to COVID‑19 was effective and played an important role in the resumption of production and life, stabilizing foreign trade activities, releasing domestic demand and promoting stable and sustained growth of the economy

On the Enterprise Dynamic Management in the COVID-19 Pandemic

On the Enterprise Dynamic Management in the COVID-19 Pandemic

АНАЛИЗ ВЛИЯНИЯ ПАНДЕМИИ НА ПРЕДПРИЯТИЯ КИТАЯ

The article reveals the impact of the new coronavirus pandemic on Chinese enterprises and its individual industries. The purpose of the study is to develop recommendations for the economic development of Chinese enterprises in the fight against the pandemic. It is proved that the state needs to pay special attention to reducing taxes and the burden, and take supporting reform measures to reduce the non-tax burden for enterprises. Along with the efforts of industrialization and urbanization to further promote quality development, it is necessary to fully stimulate the potential of the Chinese economy. In line with the above-mentioned incentive measures, combined with the work done to overcome the epidemic as soon as possible. For manufacturing enterprises, the intuitive idea of a moderate expansion of macro-monetary policy is that investment and financing conditions are softened, and loans will become more affordable. Companies that were suspended during the epidemic should prepare in advance to meet the expectations of a better market economy and launch production and operational activities in advance in order to restore their competitiveness. When developing supportive policies, local authorities should also think about how to take full initiative and creatively implement Central policies under the leadership of the Central government. Local governments should take into account their own financial resources and regional conditions, use key points and opportunities, and take targeted actions. Implementation should properly regulate relations between the state and enterprises and strive to improve the level of state management of the social sphere. Mechanisms such as public-private partnerships should be actively implemented to achieve the mission's goals. In the course of the research, we used methods for analyzing companies ' activities and synthesizing data. The results of the work include the following suggested recommendations: 1. development of transformation in foreign trade enterprises aimed at expanding the production and supply of materials for epidemic prevention; 2. implementation of targeted support to expand demand in the domestic market; 3. resumption of production throughout the production chain and improvement of the foreign trade supply chain; 4.development of digital trade.

СЕМЕННАЯ ПРОДУКТИВНОСТЬ ЛЮЦЕРНЫ В ЗАВИСИМОСТИ ОТ ПРИМЕНЯЕМЫХ ЭЛЕМЕНТОВ ТЕХНОЛОГИИ

The program for the resumption of production of alfalfa seeds in the Chechen Republic involves the move towards improved varietal technologies that promote resource conservation and increase seed yields. The present research was conducted to provide scientific basis for ecological, biological and technological features of alfalfa cultivation for seed production. The study revealed the dependence of yields on variety identity, rates and methods of sowing. Alfalfa in the first and second year of life is characterized by an increase in the plant height and narrowing of row spacing from 60 to 30 cm (about 6 cm). Feya variety was characterized by the emergence of generative shoots in the amount of 70-150 pcs./m 2 . It indicates the genetic potential of the variety and its ability to give high seed yields in the first year of life. The best result in the first year of vegetation was obtained with a seeding rate of 2 kg/ha. The highest yield (2.1 c/ha) was recorded in the option with a 60 cm row spacing, this result was twice as high as the results in the other options. It confirms the views of many researchers, that thin plant stand increases feeding areas, improves lighting and creates more favorable conditions for pollination of flowering alfalfa, forms more generative stems of the first and second orders with a large number of flowering trusses. The yields obtained from alfalfa in the second year of life was 1.7-3.5 c/ha. The highest yield was recorded in Bagira variety with a 60 cm row spacing (3.5 c/ha). Bazhena variety took the second place, its yield was 0.3 c/ha lower than that specified above. The productivity of crops with a 45 cm row spacing was lower, but at the same time, these crops showed rather stable yields of 2.4-2.7 c/ha.