№ 116(2), February, 2016
Public date: 29.02.2016
Archive of journal: Articles count 106, 245 kb
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Description
The study does a comprehensive analysis of the milk market in Russia and Krasnodar territory under conditions of a food embargo; defines the influence of the food embargo on the possibility of import substitution of milk and dairy products , and does an assessment of factors affecting the increase in the efficiency and competitiveness of the dairy sector, including the quality characteristics of the products, the possibilities of using natural milk substitutes, the environmental safety of raw milk. The study gives the estimation of milk self-sufficiency in Russia and identifies the opportunities to compensate for the missing volume. There has been done a comparative analysis of the subjects of the Russian Federation in terms of development indexes in the industry of dairy cattle breeding in the agricultural organizations, which found competitive advantages of Leningrad Region in milk yield per cow and Vologda region in feed conversion. The study reveals poorly equipped genetic testing laboratories and animal breeding quality control of milk in most regions of the Russian Federation . It states that the economic crisis in Russia has caused acceleration of inflation and a rise in prices for milk and dairy products in the consumer market; the purchasing power of incomes of the population (commercial equivalent - drinking milk) has declined. In order to develop the milk market and the implementation of policies of import substitution it is necessary to improve the system of state regulation of the agrarian sector, including the creation of favorable conditions for the development of public-private partnership, ensuring the availability of credit resources, the adaptation of the regulatory framework governing the market relations in the agrarian sector, support for high-performance production sites, as well as the implementation of the policy of agricultural protectionism.
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DEFINITIONS AND DEVELOPMENT CRITERIA OF THE SMALL AGRARIAN FARMS
Description
The article reviews financial and other criteria indicators, related to the production of small agricultural farms. Our law establishes that the annual turnover for micro-entity shall not exceed the amount of 60 million rubles, or USD 755.6 thousands at the current exchange rate (which at 20.01.2016 is 79.41 rubles/USD). For the category of small businesses, the ceiling of the cash proceeds must be in the range of 60 to 400 million rubles (in dollar terms from USD 0.756 to USD 5.037 million). Respectively for the medium enterprises criteria, revenue must be from 400 million to 1 billion rubles, or USD 5.037 and USD 12.259 million). The size of the business over 1 billion rubles should be classified as Large Businesses. According to the Federal law No. 209 financial data levels must be adjusted after five years of operations. All commercial organizations with less than 15 employees/ (inclusive) are classified as Micro Enterprises, and with 16 to 100 employees – to the category Small Enterprises. /Accordingly, medium-sized enterprises are organizations with 101 to 250 employees. Today, it is noted that in World’s practice, the criterion for the classification of enterprises to the relevant category is defined not by generated financial flows and assets of the enterprise, but by simple employ. In our practice, simultaneous consideration of the number of employees, annual receipts, number of livestock, and area of agricultural land make it possible to analyze dynamics of productivity using small agricultural farms, management decisions on investment expediency of innovations, improvement of production technologies, and infrastructure of product realization
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Description
This article is devoted to the practical application of economic-mathematical methods (based on correlation analysis) to control the economic parameters of the integrated production systems sugar subcomplex (IPS SS) AIC oriented to meet the needs in the sugar production of the population not only of individuals, but also of the regions and the country as a whole. This article discusses and solves the following tasks: autocorrelation and partial autocorrelation functions, cross-correlation function (correlation matrix) study of deciduous macroeconomics series, with appropriate verification (test) Durbin - Watson. The study used Statistica, MS Excel and Xlstat add-in. The work describes experiments with various kinds of nonstationary time series of the agricultural sector and food industry sugar subcomplex, as well as the test results on the difficulty of communication between them. We have identified industry-high cycles. The article presents results of numerical experiments autocorrelation of the time series of sugar production, acreage, gross harvest and yield of sugar beet and sugar cane, by country. Systematically, we describe ideas and methods underlying the correlation analysis. We have given the evaluation of the results of correlation analysis on each type. Further, it can be assumed that the proposed techniques will greatly affect a key points when making recommendations for new models of production of sugar products, market-oriented – this will minimize the time and cost of the finished product that will make a more stable position in the sector for this integrated production system in relation to its competition
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THE USE OF CORRELATION ANALYSIS IN AIC SUGAR INDUSTRY (PART 2 – CROSSCORRELATE)
Description
This article is devoted to the practical application of economic-mathematical methods (based on correlation analysis) to control the economic parameters of the integrated production systems sugar subcomplex (IPS SS) AIC oriented to meet the needs in the sugar production of the population not only of individuals, but also of the regions and the country as a whole. This article discusses and solves the following tasks: autocorrelation and partial autocorrelation functions, cross-correlation function (correlation matrix) study of deciduous macroeconomics series, with appropriate verification (test) Durbin - Watson. The study used Statistica, MS Excel and Xlstat add-in. The work describes experiments with various kinds of nonstationary time series of the agricultural sector and food industry sugar subcomplex, as well as the test results on the difficulty of communication between them. We have identified industry-high cycles. The article presents results of numerical experiments autocorrelation of the time series of sugar production, acreage, gross harvest and yield of sugar beet and sugar cane, by country. Systematically, we describe ideas and methods underlying the correlation analysis. We have given the evaluation of the results of correlation analysis on each type. Further, it can be assumed that the proposed techniques will greatly affect a key points when making recommendations for new models of production of sugar products, market-oriented – this will minimize the time and cost of the finished product that will make a more stable position in the sector for this integrated production system in relation to its competition
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Description
Objective: To improve the consistency and effectiveness of strategic planning and forecasting in modern conditions it requires development of the existing classifications of types of planning, strategies, forecasts and forecast methods. This study examines the introduction to problems of spectral analysis of the macroeconomic dynamics of key world and Russian sugar subcomplex. The article is devoted to forecasting the activities of integrated manufacturing systems of sugar subcomplex in agro industrial subcomplex. As well as to the practical application of economic-mathematical methods (based on spectral analysis) to control the economic parameters of the integrated industrial systems of the sugar subcomplex, oriented to meet the needs of the sugar production of the population not only of individuals, but of the regions and the country as a whole. Discussion: Procedures to identify and study the dynamics of periodic components of the development of the agriculture segment agriculture are based on methods of spectral analysis of random processes. The article describes the performed experiments with various kinds of non-stationary time series of agricultural sector and food industry sugar subcomplex. The article presents results of numerical experiments with the spectra of time series of sugar production, sown areas, gross harvest and yield of sugar beet and sugar cane country. Systematic ideas and methods underlying the spectral analysis were shown. The article also assesses the results. Results: The algorithm developed by the author for the adaptive method of spectral analysis was implemented by the author in the context of a specific software product, namely in MS Excel format. The results of the empirical research confirmed the possibility of practical use of developed models in forecasting likely scenarios for the development of sugar sub-complex in the interests of integrated production systems. The results are illustrated by numerous graphs based on real data. We have also built projection of latent structures of sugar subcomplex in the macroregions. It is revealed that each of the macroeconomic time series can contain at least from 2 to 9 harmonics (cycles) of different kind and strength of impact on the trend
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Description
Objective: To improve the consistency and effectiveness of strategic planning and forecasting in modern conditions it requires development of the existing classifications of types of planning, strategies, forecasts and forecast methods. This study examines the introduction to problems of spectral analysis of the macroeconomic dynamics of key world and Russian sugar subcomplex. The article is devoted to forecasting the activities of integrated manufacturing systems of sugar subcomplex in agro industrial subcomplex. As well as to the practical application of economic-mathematical methods (based on spectral analysis) to control the economic parameters of the integrated industrial systems of the sugar subcomplex, oriented to meet the needs of the sugar production of the population not only of individuals, but of the regions and the country as a whole. Discussion: Procedures to identify and study the dynamics of periodic components of the development of the agriculture segment agriculture are based on methods of spectral analysis of random processes. The article describes the performed experiments with various kinds of non-stationary time series of agricultural sector and food industry sugar sub-complex. The article presents results of numerical experiments with the spectra of time series of sugar production, sown areas, gross harvest and yield of sugar beet and sugar cane country. Systematic ideas and methods underlying the spectral analysis were shown. The article also assesses the results. Results: The algorithm developed by the author for the adaptive method of spectral analysis was implemented by the author in the context of a specific software product, namely in MS Excel format. The results of the empirical research confirmed the possibility of practical use of developed models in forecasting likely scenarios for the development of sugar sub-complex in the interests of integrated production systems. The results are illustrated by numerous graphs based on real data. We have also built projection of latent structures of sugar subcomplex in the macroregions. It is revealed that each of the macroeconomic time series can contain at least from 2 to 9 harmonics (cycles) of different kind and strength of impact on the trend
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THE MODELING TEMPLATE OF ENTERPRISE ARCHITECTURE OF PUBLIC CATERING
Description
The article presents results of developing the template architecture for an enterprise of public catering. As a prototype for the template, we have selected the restaurant called Phoenix. The development pattern of architecture was based on the typical features of public catering establishments described in the business model. The main results of the study are: generalized business model, built on the method developed by A. Osterwalder, graphical layout of business processes, implemented in the tool environment, All Fusion Process Modeler (BPWin) and developed models of decomposition of business processes, model business event, the location of the model functions, integration model, models, data architecture, class diagram, application portfolio and technology infrastructure. The architecture of a company of public catering may serve as a template for other businesses whose business model matches the business model of the research object. We have developed a tree of objectives and functions, the model of the enterprise, the data architecture, technology infrastructure and application portfolio are typical for the industry. The results of the study have practical value and can be used by the industry as at the design stage and improvement
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Description
The article presents the basic concepts, classification of SCM systems and the field of application of this management technology. The analysis of the international and Russian market SCM-systems, allowed us to choose the five most popular alternative information systems of this class. For the procedure of selection of the information system have been developed criteria, oriented to the demands of corporate integrated structures. For each criterion there was determined a value coefficient. This stage of research was carried out with the involvement of heads of corporate integrated structures, experts in the field of it and scientists of Kuban state agrarian University. As a result of the assessment, we have chosen an information system called "SAP SCM EWM" with the highest number of points. The study of the functional information system was carried out by building a complex chart of precedents (the modeling language UML, tool Microsoft Visual Studio 2012). Generalization of experience of consulting and analytical companies allowed to allocate the main stages of implementation for SCM systems and to develop recommendations for their implementation. The study has practical value for the integrated corporate structures from the standpoint of managerial decision-making of choosing an information system of type SCM and introducing it into their operations
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PLACE AND FUNCTIONS OF RURAL TOURISM IN IMPLEMENTING THE CONCEPT OF SUSTAINABLE DEVELOPMENT
Description
Rural tourism is not only one of the integral and most popular type of tourism. It also promotes sustainable development of rural areas and tourist industry due to its peculiar features and combination of various activities. Thus, complexity of “rural tourism” notion requires comprehensive management approach based on sustainable development principles. The article deals with the essence and schemes of sustainable development as a whole and sustainable tourism development in particular. From this point of view, the author analyses the role of tourism in sustainable rural development as well as the main aspects of sustainable development of rural tourism. The author offers grouping of functions of rural tourism in sustainable development conception implementation by the targeted object – rural areas and tourist industry
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ORGANIZATIONAL AND ECONOMIC ASPECTS OF FINANCES AND FINANCIAL ACTIVITY OF ENTERPRISES
Description
Finances of companies take leading position in the system of social reproduction and it is a foundation of the effective business functioning. In the article the position of the finance of the companies for the government is stated, so to say the formation of the budget, provision the constant production, the satisfaction of people’s needs. In this article, the financial relationships of the participants are presented, moreover, the basic functions of finance are observed such as distributive, controlling, regulative and providing. The principal directions of the financial resources use are stated: the monetary expends for production and realization, governmental and trust payments, supplying social educational funds. In this article, the economical and organizational aspects of financial part of the companies are observed such as: kinds and forms of company payments, the management of the budget, the calculation of the financial statistics, etc. For the more accurate understanding, the statistics of the index is analyzed: the average month salary of the employees of the companies in a particular district of the Russian Federation, the dynamics of the loan debts of companies in Russia, the number of detrimental companies and the sums of losses. According to the analysis, the most and the lean salary attractive regions of the Russian Federation are defined, moreover, the factors determining these positions are stated. In addition, it is observed, that the leaders of companies are to possess some particular skills of financial management, organization of finance-planning and should constantly estimate the financial part of the work and the abilities of the company, referring to the efficiency, payment abilities, financial stability, liquidity and the possibility of bankruptcy
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