159 research outputs found

    Π‘Π°Π½ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠ΅ Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅ Π½Π° экономику России: ΠΏΡƒΡ‚ΠΈ прСодолСния ΠΈΠ·Π΄Π΅Ρ€ΠΆΠ΅ΠΊ ΠΈ Π²Ρ‹Π³ΠΎΠ΄Ρ‹ ΠΊΠΎΠ½Ρ„Ρ€ΠΎΠ½Ρ‚Π°Ρ†ΠΈΠΈ Π² Ρ€Π°ΠΌΠΊΠ°Ρ… импортозамСщСния

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    The sustainable development of the national economy, taking into account the creation of mechanisms for ensuring economic security, technological sovereignty and preventing threats to the localization of import supplies of final and intermediate consumption goods, is one of the priority directions of economic policy in the conditions of systemic restrictions formed under the pressure of sanctions. In this regard, the study of the key externalities generated within the framework of the sanctions confrontation is an extremely popular task, both for science and practice. In this paper, the authors pay attention to both the actualization of the problem posed and an overview of some of the costs and benefits that can be extracted in the new reality for the national economic system of the Russian Federation. The main purpose of the study is to systematize and analyze the key parameters of economic growth in the Russian Federation under the sanctions pressure of the 2022 model and substantiate the policy of intensification of import substitution as a key mechanism for ensuring sustainable development in the medium and long term in the new reality. The subject of the study is the restrictions imposed by a number of Western countries in relation to the Russian economy, the costs they generate and the opportunities for building a new model of economic growth. As the main results of the study, it is necessary to highlight the systematization of sanctions and restrictions imposed on Russia in 2022; identified trends in the formation of key macroeconomic parameters of the Russian economy, revealing the features of labor market development, GDP formation, investment and business activity, etc.; systematization of risks and prospects of economic growth, including the projection of theoretical models of economic dynamics (IS-LM, AD-AS) on the received estimates; identification of the dependence of the national economy of the Russian Federation on the import of technologies and intermediate/final consumption goods, followed by justification and development of a model to stimulate the policy of import substitution within the framework of the activation of NTR.УстойчивоС Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ экономики с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ создания ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠΎΠ² обСспСчСния экономичСской бСзопасности, тСхнологичСского сувСрСнитСта ΠΈ прСдотвращСния ΡƒΠ³Ρ€ΠΎΠ· Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΈΠΌΠΏΠΎΡ€Ρ‚Π½Ρ‹Ρ… поставок Ρ‚ΠΎΠ²Π°Ρ€ΠΎΠ² ΠΊΠΎΠ½Π΅Ρ‡Π½ΠΎΠ³ΠΎ ΠΈ ΠΏΡ€ΠΎΠΌΠ΅ΠΆΡƒΡ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ потрСблСния являСтся ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΏΡ€ΠΈΠΎΡ€ΠΈΡ‚Π΅Ρ‚Π½Ρ‹Ρ… Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΉ экономичСской ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠΈ России Π² условиях ΡΡ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π²ΡˆΠΈΡ…ΡΡ ΠΏΠΎΠ΄ Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ санкций систСмных ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΈΠΉ. Π’ этой связи ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Ρ… экстСрналий, ΠΏΠΎΡ€ΠΎΠΆΠ΄Π°Π΅ΠΌΡ‹Ρ… Π² Ρ€Π°ΠΌΠΊΠ°Ρ… санкционного противостояния, являСтся ΠΊΡ€Π°ΠΉΠ½Π΅ вострСбованной ΠΊΠ°ΠΊ для Π½Π°ΡƒΠΊΠΈ, Ρ‚Π°ΠΊ ΠΈ для ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠΈ Π·Π°Π΄Π°Ρ‡Π΅ΠΉ. Π’ настоящСй Ρ€Π°Π±ΠΎΡ‚Π΅ Π°Π²Ρ‚ΠΎΡ€Ρ‹ ΡƒΠ΄Π΅Π»ΡΡŽΡ‚ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΠΊΠ°ΠΊ Π°ΠΊΡ‚ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ поставлСнной ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹, Ρ‚Π°ΠΊ ΠΈ ΠΎΠ±Π·ΠΎΡ€Ρƒ Π½Π΅ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΈΠ·Π΄Π΅Ρ€ΠΆΠ΅ΠΊ ΠΈ Π²Ρ‹Π³ΠΎΠ΄, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ ΠΈΠ·Π²Π»Π΅Ρ‡Π΅Π½Ρ‹ Π² условиях Π½ΠΎΠ²ΠΎΠΉ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ для Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ экономичСской систСмы России. Основной Ρ†Π΅Π»ΡŒΡŽ исслСдования являСтся систСматизация ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Ρ… ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² экономичСского роста Π² России Π² условиях санкционного давлСния ΠΎΠ±Ρ€Π°Π·Ρ†Π° 2022 Π³. ΠΈ обоснованиС ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠΈ интСнсификации импортозамСщСния ΠΊΠ°ΠΊ ΠΊΠ»ΡŽΡ‡Π΅Π²ΠΎΠ³ΠΎ ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠ° обСспСчСния устойчивого развития Π² срСднС- ΠΈ долгосрочной пСрспСктивС Π² условиях Π½ΠΎΠ²ΠΎΠΉ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ. ΠŸΡ€Π΅Π΄ΠΌΠ΅Ρ‚ΠΎΠΌ исслСдования Π²Ρ‹ΡΡ‚ΡƒΠΏΠ°ΡŽΡ‚ ограничСния со стороны ряда Π·Π°ΠΏΠ°Π΄Π½Ρ‹Ρ… стран ΠΏΠΎ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡŽ ΠΊ российской экономикС, ΠΏΠΎΡ€ΠΎΠΆΠ΄Π°Π΅ΠΌΡ‹Π΅ ΠΈΠΌΠΈ ΠΈΠ·Π΄Π΅Ρ€ΠΆΠΊΠΈ ΠΈ возмоТности для построСния Π½ΠΎΠ²ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ экономичСского роста. Π’ качСствС основных Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² исслСдова- ния Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ Π²Ρ‹Π΄Π΅Π»ΠΈΡ‚ΡŒ ΡΠΈΡΡ‚Π΅ΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΡŽ санкций ΠΈ ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΈΠΉ, Π²Π²Π΅Π΄Π΅Π½Π½Ρ‹Ρ… ΠΏΠΎ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡŽ ΠΊ России Π² 2022 Π³.; ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΡŽ Ρ‚Π΅Π½Π΄Π΅Π½Ρ†ΠΈΠΉ Π² Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Ρ… макроэкономичСских ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² российской экономики, Ρ€Π°ΡΠΊΡ€Ρ‹Π²Π°ΡŽΡ‰ΠΈΡ… особСнности развития Ρ€Ρ‹Π½ΠΊΠ° Ρ‚Ρ€ΡƒΠ΄Π°, формирования Π’Π’ΠŸ, инвСстиционной ΠΈ Π΄Π΅Π»ΠΎΠ²ΠΎΠΉ активности ΠΈ Ρ‚. ΠΏ.; ΡΠΈΡΡ‚Π΅ΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΡŽ рисков ΠΈ пСрспСктив экономичСского роста, Π² Ρ‚ΠΎΠΌ числС с ΠΏΡ€ΠΎΠ΅Ρ†ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ тСорСтичСских ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ экономичСской Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ (IS-LM, AD-AS) Π½Π° ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ ΠΎΡ†Π΅Π½ΠΊΠΈ; ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΡŽ зависимости Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ экономики России ΠΎΡ‚ ΠΈΠΌΠΏΠΎΡ€Ρ‚Π° Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈ Ρ‚ΠΎΠ²Π°Ρ€ΠΎΠ² ΠΏΡ€ΠΎΠΌΠ΅ΠΆΡƒΡ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ/ΠΊΠΎΠ½Π΅Ρ‡Π½ΠΎΠ³ΠΎ потрСблСния с ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΌ обоснованиСм ΠΈ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ стимулирования ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠΈ импортозамСщСния Π² Ρ€Π°ΠΌΠΊΠ°Ρ… Π°ΠΊΡ‚ΠΈΠ²ΠΈΠ·Π°Ρ†ΠΈΠΈ Π½Π°ΡƒΡ‡Π½ΠΎ-тСхничСской Ρ€Π΅Π²ΠΎΠ»ΡŽΡ†ΠΈΠΈ (НВР)

    The conjugated qualitative and quantitative approximation of water, salt, sulfur, asphaltene and mechanical ingredients of oil-containing systems interrelation

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    A wide variety of production technologies and the variability of the properties of oil-containing systemscause need for their preliminary preparation. In preparing the oils in the near future it is appropriate to give preference to a combination of new technologies with chemicals, which do not require major changes to the equipment and infrastructure of the oil production fields. A systematic approach involves simultaneous consideration of the studied object as a whole, and its constituent parts individually using the principle of differentiation and integration of the phenomena. For oil-containing systems those are the functions of interphase and intraphase of physical, physicochemical and chemical interactions: the structural and group composition, natural and forced association and dissociation of these factors, as well as the resulting viscosity, interphase tension, heat capacity, density and temperatures of phase polymorphic transformation. Initial oil is significantly different from the oil extracted in the development and exploitation of the deposit. The differences are due to injection into the oil-bearing layers a substantial quantity of water having various physicochemical and microbiological properties. As a result, the oxidative processes in the residual oil are characterized by increasing the share of polycyclic fragments and oxidative groups. From this follow differences in the quality and structure of reserved and solvation shells. To optimize the process of preparing it is appropriate to apply physical and mathematical modeling. It is suggested to usethe characteristic wave equation asthe basic modeling equation

    Current perspectives on social mapping of urban territories

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    Β© 2015 Canadian Center of Science and Education. All rights reserved. The article provides insights on the conceptualization of social mapping and its three main types: statistical, anthropological and network-oriented. Each perspective is described in detail and illustrated by examples. Artificial Neuron Networks with a particular interest to self-organizing maps are embedded in the analysis as a cutting-edge technique of social mapping now actively used by interdisciplinary researchers. The authors argue that despite the variety of social mapping techniques, they all have common features such as ordering and grouping of objects based on particular framework and empirical data, flexibility, visibility, citizens’ engagement on developing maps. Along with advantages, authors acknowledge such limitations of social mapping as data exclusion, data scale incompatibility and complexity of datasets that are beyond the cognitive abilities of the analyst

    Testing the model of information system of innovative management in education

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    Β© 2015, Mediterranean Center of Social and Educational Research. All rights reserved. The work presents the results of testing the model of information system of innovative management in education on the example of Institute of Economics, Management and Law (Kazan) based on transactional approach, taking into account the classical theory of transaction costs. Classifications of transaction costs, most applicable in corporate hierarchies, are used. Special emphasis is made on the descriptions of economic effects of the information system implementation in an educational establishment

    ASSESSMENT AND ANALYSIS OF DIGITAL TRANSFORMATION OF REGIONAL ECONOMIC SYSTEMS OF THE RUSSIAN FEDERATION: METHODOLOGICAL APPROACHES AND THEIR APPROBATION

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    Monitoring and evaluating the quality of digitalization of the socio-economic environment at both thenational and regional levels, contribute to an understanding of the potential for its sustainable and competitiveΒ development as part of the global economy entering the wake of the digital transformation of economic processes. In this regard, studies aimed at studying such issues are very relevant and significant for modern scienceΒ and practice. The article proposes an algorithm for measuring the level of development of the content elementsΒ of the digital economy in the regions of the Russian Federation. A distinctive aspect of the proposed algorithmΒ is the orientation of the developed tools to study the five main directions of digitalization, defined by the OrderΒ of the Government of the Russian Federation of July 28, 2017 (No. 1632-r): regulatory regulation, personnelΒ for the digital economy, formation of research competencies and technological foundations, information infrastructure, information security. Based on the results of the study, the main qualitative and quantitative characteristics have been identified, that assess the development of the digital economy in the constituent entitiesΒ of the Russian Federation at the present stage of development; a toolkit has been offered, that allows you to determine key areas of regional policy aimed at intensifying the processes of digitalization of business processes

    The theory of reputation economy as a new paradigm for the study of the region economic potential

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    The modern economy with all the variety of its structural elements, which every year is increasingly immersed in a hyper-connected digital space, new conditions of institutional functioning caused by both a change in technological patterns and innovative forms of thinking, needs to adjust the basic, established principles and models of economic growth. If earlier the material productive factors was played a key role, today their importance is to some extent offset by the increasing role of non-material factors of production, the most important of which should include reputation capital. The purpose of the article is to comprehend and theoretically support this scientific problem. The need to revise some principles of building models of economic dynamics and strategic management of the region based on the use and revision of structural, logical and evolutionary views on the construction of this process is substantiated in the article. Based on the results of systematization of the evolution of methodological approaches to assessing the effectiveness of regional socio-economic development of territories / regions, the position is substantiated, according to which, in modern economic conditions, the effectiveness of territorial development should be based on research and strengthening of reputation capital

    ЀасциолСз ΠΈ Π³ΠΈΠΏΠΎΠ΄Π΅Ρ€ΠΌΠ°Ρ‚ΠΎΠ· ΠΊΡ€ΡƒΠΏΠ½ΠΎΠ³ΠΎ Ρ€ΠΎΠ³Π°Ρ‚ΠΎΠ³ΠΎ скота Π² условиях ΠšΠ°Π»ΡƒΠΆΡΠΊΠΎΠΉ области

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    Objective of research: The study on the prevalence of fascioliasis and hypodermatosis in cattle from agricultural farms of different forms of ownership (Joint-Stock Companies, Ltd., private farms) in the Kaluga region. Materials and methods: The infection with fascioles was determined by examination of animals of different ages (which were previously in pasture) in the stall period not earlier than December and up to the beginning of the grazing season. The method of subsequent washings and the method of Vysniauskas were the main research methods used at the Station for Animal Diseases of the Ferzikovsky district of Kaluga and at the All Russian Scientific Research Institute of Helminthology named after K.I. Skryabin. Examinations were carried out once a month on 20 animals of different age groups: offspring under 1 year, offspring under 2 years, heifers, first and second first and second calving cows, third calving cows and older. During examinations, besides fascioles and their eggs, cestode and gastrointestinal nematode eggs as well as coccidia oocysts were calculated. Together with the veterinary service of slaughtering and meat processing plants, we conducted dissection of livers, calculated the number of young and adult flukes. We experienced no problems with their determination. Adult flukes (length of 2-3 cm, width of 1cm) parasitize biliary ducts of the liver. Young flukes were found more often in the bile ducts had the length of 0,5-1,2 cm. During dissection of the liver, flukes were collected with forceps to Petri dishes with physiological salt solution, and then adult and young flukes were identified. 461 head of cattle, which were previously in pasture, were dissected and investigated in 2013 in the Kaluga region to determine Fasciola infection. We studied calves from two years and cows up to 7 years of age. Dissections were conducted quarterly in January, April, July and November. To determine the invasion of cattle from the above mentioned farms with larvae of Hypoderma bovis, 150, 100, 50 and 20 animals of different ages (from 1,5 to 7 years) received in autumn no preventive treatment over two years upon agreement with the State Veterinary Service of the Kaluga region and the Station for Animal Diseases of Ferzikovsky district. Levels of infection (EI, II) in animals were estimated in spring (April-May) of the following year. After discussing of the results, animals were treated with the preparation recommended against hypodermatosis. Analysis of experimental data by the method of Plohinsky N.A. was conducted. Results and discussion: The highest extensity of infection was detected in the JV Β«IskraΒ». 186 animals of different ages which were previously in pasture were examined; 95 (51,1%) were infected. The average number of Fasciola eggs in 1g of feces was 176,4 ind. In the second farm Β«Ferzikovsky Ltd.Β» 153 animals of different ages which were previously in pasture were examined by the methods of coproscopy; 63 of them were infected with Fasciola spp.; extensity of infection was 41,2%. The average number of Fasciola eggs in 1 g of feces was 29,2 ind. In both farms the average extensity of infection was 46,1%, while the average number of Fasciola eggs in 1g of feces was 152,3. In peasant farm economy of Kopylov A.S. 114 animals which were previously in pasture were examined in different time periods; 36 of them were infected with Fasciola spp.; EI was 31,5%; the average number of Fasciola eggs in 1 g of feces was 105,2. On average 115 animals of different ages were examined and dissected each four months; 40 of them were infected; EI was 34,8%. The average number of flukes in each infected animal was 32,1 ind.; 25,2 ind. in imaginal and 6,9 ind. in pre-imaginal stage. The highest IE (40,5%) and II (38,4 ind/head) were determined in November. The average number of flukes for each infected animal was was 38,4 including 23 adult flukes 15,4 young (pre-imaginal). Our research revealed that all year round liver, gall bladder, and bile ducts are mostly infected with adult flukes. According to the results of our research the average EI was 34,8%, the average II was 32,1 ind./head. The short analysis revealed that in four above mentioned farms of the Kaluga region, totally 220 animals which were previously in pasture were examined; 12 of them were infected with warble fly larvae; average EI was 5,3%, and the average number of warble fly larvae was 5,5 ind./head.ЦСль исслСдования - ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ распространСния фасциолСза ΠΈ Π³ΠΈΠΏΠΎΠ΄Π΅Ρ€ΠΌΠ°Ρ‚ΠΎΠ·Π° ΠΊΡ€ΡƒΠΏΠ½ΠΎΠ³ΠΎ Ρ€ΠΎΠ³Π°Ρ‚ΠΎΠ³ΠΎ скота Π² хозяйствах Ρ€Π°Π·Π½ΠΎΠΉ Ρ„ΠΎΡ€ΠΌ собствСнности ΠšΠ°Π»ΡƒΠΆΡΠΊΠΎΠΉ области. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. РаспространСниС фасциолСза ΠΈ Π³ΠΈΠΏΠΎΠ΄Π΅Ρ€ΠΌΠ°Ρ‚ΠΎΠ·Π° ΠΊΡ€ΡƒΠΏΠ½ΠΎΠ³ΠΎ Ρ€ΠΎΠ³Π°Ρ‚ΠΎΠ³ΠΎ скота ΠΈΠ·ΡƒΡ‡Π°Π»ΠΈ Π² хозяйствах Ρ€Π°Π·Π½ΠΎΠΉ Ρ„ΠΎΡ€ΠΌ собствСнности - АО, ОАО, ЀКΠ₯ ΠΈ Π»ΠΈΡ‡Π½Ρ‹Π΅ ΠΏΠΎΠ΄Π²ΠΎΡ€ΡŒΡ Π³Ρ€Π°ΠΆΠ΄Π°Π½ Π² условиях ΠšΠ°Π»ΡƒΠΆΡΠΊΠΎΠΉ области. Π˜Π½Π²Π°Π·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΡΡ‚ΡŒ фасциолами устанавливали ΠΏΡƒΡ‚Π΅ΠΌ обслСдования Π²Ρ‹ΠΏΠ°ΡΠ°Π²ΡˆΠΈΡ…ΡΡ Π½Π° пастбищС ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… Ρ€Π°Π·Π½ΠΎΠ³ΠΎ возраста Π² стойловый ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ Π½Π΅ Ρ€Π°Π½Π΅Π΅ дСкабря ΠΈ Π΄ΠΎ Π½Π°Ρ‡Π°Π»Π° пастбищного сСзона. ΠžΡΠ½ΠΎΠ²Π½Ρ‹ΠΌΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ исслСдований Π±Ρ‹Π»ΠΈ копроскопичСскиС: ΠΌΠ΅Ρ‚ΠΎΠ΄ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΎΠΌΡ‹Π²Π°Π½ΠΈΠΉ ΠΈ Π’ΠΈΡˆΠ½ΡΡƒΡΠΊΠ°ΡΠ°, Π² лабораториях станций ΠΏΠΎ Π±ΠΎΡ€ΡŒΠ±Π΅ с болСзнями ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… ЀСрзиковского Ρ€Π°ΠΉΠΎΠ½Π°, Π³ ΠšΠ°Π»ΡƒΠ³ΠΈ ΠΈ Π’ΠΠ˜Π˜ΠŸ ΠΈΠΌ. К.И. Бкрябина. ОбслСдования ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΎΠ΄ΠΈΠ½ Ρ€Π°Π· Π² мСсяц ΠΏΠΎ 20 ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… Ρ€Π°Π·Π½Ρ‹Ρ… возрастных Π³Ρ€ΡƒΠΏΠΏ: молодняк Π΄ΠΎ 1 Π³ΠΎΠ΄Π°, молодняк Π΄ΠΎ 2-Ρ… Π»Π΅Ρ‚, Π½Π΅Ρ‚Π΅Π»ΠΈ, ΠΊΠΎΡ€ΠΎΠ²Ρ‹ 1-2 ΠΎΡ‚Π΅Π»ΠΎΠ², ΠΊΠΎΡ€ΠΎΠ²Ρ‹ 3-Π³ΠΎ ΠΎΡ‚Π΅Π»Π° ΠΈ ΡΡ‚Π°Ρ€ΡˆΠ΅. ΠšΡ€ΠΎΠΌΠ΅ фасциол ΠΈ ΠΈΡ… яиц ΠΏΡ€ΠΈ исслСдованиях ΠΏΠΎΠΏΡƒΡ‚Π½ΠΎ ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°Π»ΠΈ Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ яиц цСстод ΠΈ Π½Π΅ΠΌΠ°Ρ‚ΠΎΠ΄ ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡Π½ΠΎ-ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΎΠ³ΠΎ Ρ‚Ρ€Π°ΠΊΡ‚Π°, Π° Ρ‚Π°ΠΊΠΆΠ΅ ооцист ΠΊΠΎΠΊΡ†ΠΈΠ΄ΠΈΠΉ. БовмСстно с вСтслуТбой мясокомбинатов ΠΈ ΡƒΠ±ΠΎΠΉΠ½Ρ‹Ρ… ΠΏΡƒΠ½ΠΊΡ‚ΠΎΠ² ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ вскрытиС ΠΏΠ΅Ρ‡Π΅Π½Π΅ΠΉ, подсчитывали количСство ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΠΈ взрослых фасциол. Π‘ΠΎΠ»ΡŒΡˆΠΈΡ… Π·Π°Ρ‚Ρ€ΡƒΠ΄Π½Π΅Π½ΠΈΠΉ ΠΏΡ€ΠΈ ΠΈΡ… Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Ρ†ΠΈΠΈ Π½Π΅ испытывали. ΠŸΠΎΡΠΊΠΎΠ»ΡŒΠΊΡƒ ΠΏΠΎΠ»ΠΎΠ²ΠΎΠ·Ρ€Π΅Π»Ρ‹Π΅ стадии фасциол Fasciola hepatica ΠΏΠ°Ρ€Π°Π·ΠΈΡ‚ΠΈΡ€ΡƒΡŽΡ‚ Π² ΠΆΠ΅Π»Ρ‡Π½Ρ‹Ρ… Ρ…ΠΎΠ΄Π°Ρ… ΠΏΠ΅Ρ‡Π΅Π½ΠΈ, ΠΈΠΌΠ΅ΡŽΡ‚ Π΄Π»ΠΈΠ½Ρƒ 2-3 см, ΡˆΠΈΡ€ΠΈΠ½Ρƒ 1 см. ΠœΠΎΠ»ΠΎΠ΄Ρ‹Ρ… фасциол Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ часто Π½Π°Ρ…ΠΎΠ΄ΠΈΠ»ΠΈ Π² ΠΆΠ΅Π»Ρ‡Π½Ρ‹Ρ… ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠ°Ρ…, ΠΈΡ… Π΄Π»ΠΈΠ½Π° 0,5-1,2 см. ΠŸΡ€ΠΈ вскрытии ΠΏΠ΅Ρ‡Π΅Π½ΠΈ ΡƒΠ±ΠΎΠΉΠ½Ρ‹Ρ… ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… фасциол собирали ΠΏΠΈΠ½Ρ†Π΅Ρ‚ΠΎΠΌ Π² Ρ‡Π°ΡˆΠΊΠΈ ΠŸΠ΅Ρ‚Ρ€ΠΈ с физиологичСским раствором, Π·Π°Ρ‚Π΅ΠΌ Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΡ€ΠΎΠ²Π°Π»ΠΈ Π½Π° ΠΈΠΌΠ°Π³ΠΎ ΠΈ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Π΅ Ρ„ΠΎΡ€ΠΌΡ‹. Для установлСния зараТСнности ΡƒΠ±ΠΎΠΉΠ½ΠΎΠ³ΠΎ ΠΊΡ€ΡƒΠΏΠ½ΠΎΠ³ΠΎ Ρ€ΠΎΠ³Π°Ρ‚ΠΎΠ³ΠΎ скота фасциолами Π² условиях ΠšΠ°Π»ΡƒΠΆΡΠΊΠΎΠΉ области Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 2013 Π³ΠΎΠ΄Π° Π±Ρ‹Π»ΠΎ осмотрСно ΠΈ ΠΏΠΎΠ΄Π²Π΅Ρ€Π³Π½ΡƒΡ‚ΠΎ Π²ΡΠΊΡ€Ρ‹Ρ‚ΠΈΡŽ 461 Π³ΠΎΠ»ΠΎΠ² ΠΊΡ€ΡƒΠΏΠ½ΠΎΠ³ΠΎ Ρ€ΠΎΠ³Π°Ρ‚ΠΎΠ³ΠΎ скота, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Ρ€Π°Π½Π΅Π΅ пользовались пастбищами. Π˜Ρ… возраст ΠΎΡ‚ Π΄Π²ΡƒΡ… Π»Π΅Ρ‚ Ρƒ молодняка ΠΈ Π΄ΠΎ 7 Π»Π΅Ρ‚ Ρƒ ΠΊΠΎΡ€ΠΎΠ². Вскрытия для установлСния зараТСнности ΡƒΠ±ΠΎΠΉΠ½ΠΎΠ³ΠΎ скота фасциолами ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Π΅ΠΆΠ΅ΠΊΠ²Π°Ρ€Ρ‚Π°Π»ΡŒΠ½ΠΎ Π² январС, Π°ΠΏΡ€Π΅Π»Π΅, июлС ΠΈ ноябрС. Для установлСния зараТСнности ΠΊΡ€ΡƒΠΏΠ½ΠΎΠ³ΠΎ Ρ€ΠΎΠ³Π°Ρ‚ΠΎΠ³ΠΎ скота Π»ΠΈΡ‡ΠΈΠ½ΠΊΠ°ΠΌΠΈ ΠΏΠΎΠ΄ΠΊΠΎΠΆΠ½ΠΎΠ³ΠΎ ΠΎΠ²ΠΎΠ΄Π° Hypoderma bovis Π² ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Π½Ρ‹Ρ… хозяйствах ΠΏΠΎ согласования с ГосвСтслуТбой области (ΠšΠ’-ΠšΠΎΠΌΠΈΡ‚Π΅Ρ‚ Π²Π΅Ρ‚Π΅Ρ€ΠΈΠ½Π°Ρ€ΠΈΠΈ) ΠΈ ЀСрзиковского (Π‘Π‘Π‘Π–-станция ΠΏΠΎ Π±ΠΎΡ€ΡŒΠ±Π΅ с болСзнями ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ…) Ρ€Π°ΠΉΠΎΠ½Π° Π΅ΠΆΠ΅Π³ΠΎΠ΄Π½ΠΎ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ Π΄Π²ΡƒΡ… Π»Π΅Ρ‚ оставляли 150, 100, 50 ΠΈ 20 ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… Π±Π΅Π· осСннСй профилактичСской ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ (ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… Ρ€Π°Π·Π½ΠΎΠ³ΠΎ возраста - ΠΎΡ‚ 1,5 Π΄ΠΎ 7 Π»Π΅Ρ‚). ΠžΡ†Π΅Π½ΠΊΡƒ зараТСнности (ЭИ, ИИ) ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ вСсной Π² Π°ΠΏΡ€Π΅Π»Π΅ - ΠΌΠ°Π΅ ΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅Π³ΠΎ Π³ΠΎΠ΄Π°. ПослС Ρ‡ΠΈΡ‚ΠΊΠΈ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ², ΠΏΠΎ показаниям, ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… ΠΎΠ±Ρ€Π°Π±Π°Ρ‚Ρ‹Π²Π°Π»ΠΈ ΠΏΡ€ΠΎΡ‚ΠΈΠ²ΠΎΠ³ΠΈΠΏΠΎΠ΄Π΅Ρ€ΠΌΠ°Ρ‚ΠΎΠ·Π½Ρ‹ΠΌ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΠΎΠ²Π°Π½Π½Ρ‹ΠΌ ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠΌ. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Π² Ρ…ΠΎΠ΄Π΅ изучСния распространСния ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Π½Ρ‹Ρ… ΠΈΠ½Π²Π°Π·ΠΈΠΉ ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ Π΄Π°Π½Π½Ρ‹Π΅ Π±Ρ‹Π»ΠΈ ΠΏΠΎΠ΄Π²Π΅Ρ€Π³Π½ΡƒΡ‚Ρ‹ статистичСскому Π°Π½Π°Π»ΠΈΠ·Ρƒ ΠΏΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ΅ Н.А. ΠŸΠ»ΠΎΡ…ΠΈΠ½ΡΠΊΠΎΠ³ΠΎ (1948) с установлСниСм ΠΈΡ… значимости. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈ обсуТдСния. Наибольшая ΡΠΊΡΡ‚Π΅Π½ΡΠΈΠ²Π½ΠΎΡΡ‚ΡŒ фасциолСзной ΠΈΠ½Π²Π°Π·ΠΈΠΈ установлСна Π² АО Β«Π˜ΡΠΊΡ€Π°Β». ΠŸΡ€ΠΈ обслСдовании 186 ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… Ρ€Π°Π·Π½ΠΎΠ³ΠΎ возраста, Ρ€Π°Π½Π΅Π΅ Π²Ρ‹ΠΏΠ°ΡΠ°Π²ΡˆΠΈΡ…ΡΡ, ΠΈΠ½Π²Π°Π·ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌΠΈ оказались 95, Ρ‡Ρ‚ΠΎ составляСт 51,1%. Π‘Ρ€Π΅Π΄Π½Π΅Π΅ количСство яиц фасциол Π² 1 Π³ Ρ„Π΅ΠΊΠ°Π»ΠΈΠΉ Ρ€Π°Π²Π½ΡΠ»ΠΎΡΡŒ 176,4 экзСмпляра. Π’Ρ‚ΠΎΡ€ΠΎΠ΅ хозяйство, Π³Π΄Π΅ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ систСматичСскиС исслСдования - ОАО «ЀСрзиковский». Π’ этом хозяйствС всСго Π±Ρ‹Π»ΠΎ обслСдовано Ρ€Π°Π½Π΅Π΅ ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Π½Ρ‹ΠΌΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ копроскопии 153 Ρ€Π°Π½Π΅Π΅ Π²Ρ‹ΠΏΠ°ΡΠ°Π²ΡˆΠΈΡ…ΡΡ ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… Ρ€Π°Π·Π½ΠΎΠ³ΠΎ возраста, ΠΈΠ· ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… 63 оказались ΠΈΠ½Π²Π°Π·ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌΠΈ фасциолами, ΡΠΊΡΡ‚Π΅Π½ΡΠΈΠ½Π²Π°Π·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΡΡ‚ΡŒ (ЭИ) составила 41,2%. А срСднСС количСство яиц фасциол Π² 1 Π³ Ρ„Π΅ΠΊΠ°Π»ΠΈΠΉ составило 129,2 экзСмляра. По эти Π΄Π²ΡƒΠΌ хозяйствам, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΈΠΌΠ΅Π»ΠΈ ΡΡ…ΠΎΠ΄Π½ΡƒΡŽ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΡŽ производства ΠΈ ΠΎΠ΄ΠΈΠ½Π°ΠΊΠΎΠ²Ρ‹Π΅ пастбищныС ΡƒΠ³ΠΎΠ΄ΡŒΡ с Π·Π°Π±ΠΎΠ»ΠΎΡ‡Π΅Π½Π½Ρ‹ΠΌΠΈ участками срСдняя ЭИ составила 46,1%, Ρ‚ΠΎΠ³Π΄Π° ΠΊΠ°ΠΊ срСднСС количСство яиц фасциол Π² 1 Π³ Ρ„Π΅ΠΊΠ°Π»ΠΈΠΉ ΠΏΠΎ Π΄Π²ΡƒΠΌ хозяйствам Ρ€Π°Π²Π½ΡΠ»ΠΎΡΡŒ 152,3 экзСмпляра. Из фСрмСрско-ΠΊΡ€Π΅ΡΡ‚ΡŒΡΠ½ΡΠΊΠΎΠ³ΠΎ хозяйства ΠšΠΎΠΏΡ‹Π»ΠΎΠ²Π° А.Π‘. Π² Ρ€Π°Π·Π½ΠΎΠ΅ врСмя всСго Π±Ρ‹Π»ΠΎ обслСдовано 114 Ρ€Π°Π½Π΅Π΅ Π²Ρ‹ΠΏΠ°ΡΠ°Π²ΡˆΠΈΠΉΡΡ ΠΊΡ€ΡƒΠΏΠ½Ρ‹ΠΉ Ρ€ΠΎΠ³Π°Ρ‚Ρ‹ΠΉ скот, ΠΈ 36 ΠΈΠ· ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π±Ρ‹Π»ΠΈ Π·Π°Ρ€Π°ΠΆΠ΅Π½Ρ‹ фасциолами, ЭИ Ρ€Π°Π²Π½ΡΠ»ΠΎΡΡŒ 31,5%, ΠΏΡ€ΠΈ срСднСм количСствС яиц фасциол Π² 1 Π³ Ρ„Π΅ΠΊΠ°Π»ΠΈΠΉ - 105,2 экзСмпляра. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹Π΅ Π½Π°ΠΌΠΈ Π΅ΠΆΠ΅ΠΊΠ²Π°Ρ€Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ вскрытия ΡƒΠ±ΠΎΠΉΠ½Ρ‹Ρ… ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… Π΄Π°Π»ΠΈ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½ΡƒΡŽ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΡŽ ΠΏΠΎ зараТСнности ΡƒΠ±ΠΎΠΉΠ½ΠΎΠ³ΠΎ ΠΊΡ€ΡƒΠΏΠ½ΠΎΠ³ΠΎ Ρ€ΠΎΠ³Π°Ρ‚ΠΎΠ³ΠΎ скота Ρ€Π°Π·Π½ΠΎΠ³ΠΎ возраста фасциолами, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Ρ‚ΠΎΠΆΠ΅ оказались ΠΈΠΌΠ°Π³ΠΈΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ ΠΈ ΠΏΡ€Π΅ΠΈΠΌΠ°Π³ΠΈΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ. Π’ срСднСм Π·Π° ΠΊΠ°ΠΆΠ΄Ρ‹ΠΉ ΠΊΠ²Π°Ρ€Ρ‚Π°Π» Π±Ρ‹Π»ΠΎ осмотрСно ΠΈ ΠΏΠΎΠ΄Π²Π΅Ρ€Π³Π½ΡƒΡ‚ΠΎ Π²ΡΠΊΡ€Ρ‹Ρ‚ΠΈΡŽ 115 ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… Ρ€Π°Π·Π½ΠΎΠ³ΠΎ возраста, ΠΈΠ· Π½ΠΈΡ… оказались ΠΈΠ½Π²Π°Π·ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌΠΈ фасциолами 40, ΡΠΊΡΡ‚Π΅Π½ΡΠΈΠ²Π½ΠΎΡΡ‚ΡŒ фасциолСзной ΠΈΠ½Π²Π°Π·ΠΈΠΈ Ρ€Π°Π²Π½ΡΠ»Π°ΡΡŒ 34,8%. ΠŸΡ€ΠΈ вскрытии ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Π½ΠΎΠ³ΠΎ поголовья срСднСС количСство фасциол Π½Π° ΠΎΠ΄Π½ΠΎ Π·Π°Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΠ΅ ΠΆΠΈΠ²ΠΎΡ‚Π½ΠΎΠ΅ составило 32,1 экзСмпляра, Π² числС ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΈΠΌΠ°Π³ΠΈΠ½Π°Π»ΡŒΠ½Ρ‹Π΅ 25,2 экзСмпляра ΠΈ ΠΏΡ€Π΅ΠΈΠΌΠ°Π³ΠΈΠ½Π°Π»ΡŒΠ½Ρ‹Π΅ 6,9 экзСмпляра. Наибольшая ΡΠΊΡΡ‚Π΅Π½ΡΠΈΠ²Π½ΠΎΡΡ‚ΡŒ (ЭИ-40,5%) ΠΈ ΠΈΠ½Ρ‚Π΅Π½ΡΠΈΠ²Π½ΠΎΡΡ‚ΡŒ (38,4 экз./Π³ΠΎΠ»ΠΎΠ²Ρƒ) фасциолСзной ΠΈΠ½Π²Π°Π·ΠΈΠΈ Π±Ρ‹Π»Π° установлСна ΠΏΡ€ΠΈ вскрытии Π² ноябрС. Π‘Ρ€Π΅Π΄Π½Π΅Π΅ количСство фасциол Π½Π° ΠΎΠ΄Π½ΠΎ Π·Π°Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΠ΅ ΠΆΠΈΠ²ΠΎΡ‚Π½ΠΎΠ΅ составило 38,4 экзСмпляра, Π² числС ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… взрослыС 23 экз. ΠΈ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Π΅ (ΠΏΡ€Π΅ΠΈΠΌΠ°Π³ΠΈΠ½Π°Π»ΡŒΠ½Ρ‹Π΅) 15,4 экзСмпляра. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹Π΅ Π½Π°ΠΌΠΈ исслСдования ΠΏΡ€ΠΈ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ Π²Π΅Ρ‚Π΅Ρ€ΠΈΠ½Π°Ρ€Π½ΠΎ-санитарной экспСртизы ΠΈ Π³Π΅Π»ΡŒΠΌΠΈΠ½Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΡ‡Π΅ΡΠΊΠΎΠΌ вскрытии ΠΏΠ΅Ρ‡Π΅Π½ΠΈ, ΠΆΠ΅Π»Ρ‡Π½ΠΎΠ³ΠΎ пузыря ΠΈ ΠΆΠ΅Π»Ρ‡Π½Ρ‹Ρ… ΠΏΠΎΡ‚ΠΎΠΊΠΎΠ² ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ ΠΈΡ… ΠΊΡ€ΡƒΠ³Π»ΠΎΠ³ΠΎΠ΄ΠΈΡ‡Π½ΡƒΡŽ ΠΈΠ½Π²Π°Π·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΡΡ‚ΡŒ фасциолами прСимущСствСнно Π² имагинальной стадии. По Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹Ρ… исслСдований срСдняя ΡΠΊΡΡ‚Π΅Π½ΡΠΈΠ²Π½ΠΎΡΡ‚ΡŒ фасциолСзной ΠΈΠ½Π²Π°Π·ΠΈΠΈ Ρ€Π°Π²Π½ΡΠ»Π°ΡΡŒ 34,8%, срСдняя ΠΈΠ½Ρ‚Π΅Π½ΡΠΈΠ²Π½ΠΎΡΡ‚ΡŒ фасциолСзной ΠΈΠ½Π²Π°Π·ΠΈΠΈ составила 32,1 экз. Π½Π° ΠΎΠ΄Π½ΠΎ Π·Π°Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΠ΅ ΠΆΠΈΠ²ΠΎΡ‚Π½ΠΎΠ΅. Π’ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ зараТСнности ΠΊΡ€ΡƒΠΏΠ½ΠΎΠ³ΠΎ Ρ€ΠΎΠ³Π°Ρ‚ΠΎΠ³ΠΎ скота Π³ΠΈΠΏΠΎΠ΄Π΅Ρ€ΠΌΠ°Ρ‚ΠΎΠ·ΠΎΠΌ слСдуСт ΠΎΡ‚ΠΌΠ΅Ρ‚ΠΈΡ‚ΡŒ, Ρ‡Ρ‚ΠΎ данная инвазия ΠΏΠΎΠ΄ строгим ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π΅ΠΌ ΠΈ Π² хозяйствах, Π³Π΄Π΅ ΠΏΠ»Π°Π½Π°ΠΌΠΈ профилактичСских противоэпизоотичСских мСроприятий ΠΎΡ…Π²Π°Ρ‡Π΅Π½ΠΎ всС поголовьС, инвазия практичСски отсутствуСт. Π’ Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ…, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΏΠΎ договорСнности с Π²Π΅Ρ‚Π΅Ρ€ΠΈΠ½Π°Ρ€Π½ΠΎΠΉ слуТбой ΠΎΡΡ‚Π°Π²Π°Π»ΠΈΡΡŒ Π±Π΅Π· осСннСй профилактичСской ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ, ΠΈΠΌΠ΅Π»ΠΎ мСсто Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠ³ΠΎ количСства Π»ΠΈΡ‡ΠΈΠ½ΠΎΠΊ ΠΏΠΎΠ΄ΠΊΠΎΠΆΠ½ΠΎΠ³ΠΎ ΠΎΠ²ΠΎΠ΄Π°. Из ΠΊΡ€Π°Ρ‚ΠΊΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π²Ρ‹Ρ‚Π΅ΠΊΠ°Π΅Ρ‚, Ρ‡Ρ‚ΠΎ ΠΏΠΎ Ρ‡Π΅Ρ‚Ρ‹Ρ€Ρ‘ΠΌ рассмотрСнным Π²Ρ‹ΡˆΠ΅ катСгориям хозяйств ΠšΠ°Π»ΡƒΠΆΡΠΊΠΎΠΉ области, всСго Π±Ρ‹Π»ΠΎ ΠΏΠΎΠ΄ наблюдСниСм ΠΈ ΠΏΠΎΠ΄Π²Π΅Ρ€Π³Π½ΡƒΡ‚ΠΎ обслСдованию 220 ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ…, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Ρ€Π°Π½Π΅Π΅ Π²Ρ‹ΠΏΠ°ΡΠ°Π»ΠΈΡΡŒ, 12 ΠΈΠ· ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π±Ρ‹Π»ΠΈ ΠΈΠ½Π²Π°Π·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ Π»ΠΈΡ‡ΠΈΠ½ΠΊΠ°ΠΌΠΈ ΠΏΠΎΠ΄ΠΊΠΎΠΆΠ½ΠΎΠ³ΠΎ ΠΎΠ²ΠΎΠ΄Π°, срСдняя ЭИ составила 5,3%, Π° срСднСС количСство Π»ΠΈΡ‡ΠΈΠ½ΠΎΠΊ ΠΏΠΎΠ΄ΠΊΠΎΠΆΠ½ΠΎΠ³ΠΎ ΠΎΠ²ΠΎΠ΄Π° Π½Π° 1 Π·Π°Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΠ΅ ΠΆΠΈΠ²ΠΎΡ‚Π½ΠΎΠ΅ составило 5,5 экз./Π³ΠΎΠ»ΠΎΠ²Ρƒ

    FORMALIZED EVALUATION OF SCENARIO DEVELOPMENT OF THE NATIONAL ECONOMY IN TERMS OF PENETRATION OF BLOCKCHAIN TECHNOLOGIES IN THE FINANCIAL SECTOR

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    In the coming years, blockchain technologies may become one of the breakthrough innovations in the financial sector of the economy, optimizing and simplifying transaction operations in a number of areas, reducing their cost. Having a very significant potential for transforming the established algorithms for the interaction of financial market participants, it is important to understand what are the boundaries of these changes, what new opportunities are presented by blockchain technologies and, finally, what are the expected consequences for the development of the financial sector itself and the other sectors of the national economic system associated with it. In this regard, important and urgent task is to minimize risks for financial and other organizations in the face of impending opportunities and threats under the pressure of the process of integrating blockchain platforms into the economic environment. This research is devoted to the solution of the issues posed. The most important component of the paper is the proposed methodological toolkit, which allows you to identify in a formalized form the patterns and relationships between the level of penetration of blockchain technologies into the financial environment and the dynamics of gross domestic product ( GDP)

    The impact of competition on regional food security (the case of the milk and dairy market in the republic of Tatarstan)

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    Regional food markets are important structural elements of the national market. Development of the market environment is one of the key methods of stimulating food production. As the agro-industrial policy changes its focus from import substitution towards export-oriented production, the role of competition in the agricultural sphere becomes particularly prominent. The authors propose a new indicator characterizing the level of concentration of producers on the market – the Herfindahl-Hirschman Index (HHI) for the share of gross profit of economic entities. This article is aimed at giving a theoretical justification of this approach and at providing practical recommendations for the development of regional food markets based on the regulation of food producer concentration levels. Multi-dimensional statistical calculations were used to test the hypothesis that the development of large economic entities (including monopolies) has a positive impact on the affordability and accessibility of locally produced foods. The authors measured the strength of the correlation between the socio-economic indicators that affect regional food security by using the case of the milk and dairy market in the Republic of Tatarstan. The proposed methodology is based on the decision matrix method applied to analyze the situation in local food markets, which gives us a better understanding of the situation in the whole region regarding the accessibility and affordability of foods. The correlation-regression analysis enabled us to integrate the indicators that show the impact of competition on affordability of foods with those that show the impact of producers’ efficiency on accessibility of foods in the region. The proposed approach considers profitability of economic entities, accessibility of foods and competition on the producer market and can thus be used to enhance food security by revealing the optimal priority areas for governmental policies and programs on the national, regional and local levels
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