The article considers the questions of agrarian policy facing economy of developed countries. The aspects of ensuring the quality of production, the goods and services, the competitiveness of production, the organization, the region and the branch are noted
The approach to subsystem projecting of management and controlling of efficiency of enterprise and labor productivity, the mechanisms of managing and controlling tools realized under conditions of forming innovative economics is described. The article may be useful for economists, managers, specialists who are interested in management and controlling
Implementation of investment projects is one of priority tasks for the entities as efficiency of their business depends on it. In agricultural industry the special attention in the present is required by rabbit breeding as it is the most perspective direction of development of livestock production because of rather high level of economic return. In article the factors determining prospects of this direction are considered. The comparative characteristic of different types of meat on the main indicators determining business performance is provided. Following the results of calculations the greatest indicator of profitability is determined by meat of rabbits. Follows from the provided data that in Russia positive dynamics of development of rabbit breeding is noted, at the same time the existing production volumes don't satisfy the need of the population for complete amount. The directions of specialization of rabbit breeding and their characteristic features are determined. The main factors constraining rabbit breeding development are considered. One of the possible directions of their decision can consider the developed investment project of a construction of a farm of rabbits. Calculations of efficiency the farms of rabbits of different scale are made. The indicators reflecting results of their implementation for the entities are analyzed. Possible risks of the investment project are estimated and the most acceptable methods and acceptances of decrease in their degree in this situation are offered
This article considers efficiency of realization of potential of credit relations in developing market economy which promotes credit system development, and necessity of qualitative credit products
The agricultural industry is subsidized sector of economy, besides a certainty is that agrarian production in the Russian conditions can't be conducted without considerable support from the state. Today the agricultural industry is the most important element of the market and the animator of development of economy. With respect there to upgrade of state policy in agro-industrial complex, considering the basic principles of development of an industry is necessary. In article indicators of increase in efficiency of use of means of the state support of producers of an agricultural industry of Russia are considered. Effective rendering the state support of an agrarian industry allows implementing established by the doctrine of food security, the state strategy, creations of rural infrastructure, recovery of agricultural mechanical engineering and streamlining of a land ownership. It should be noted that results of the given state support of agricultural industry of Russia in the main directions of an industry: plant growing, livestock production, poultry farming has the heterogeneous level of efficiency which is reflected indicators of achievement of level of self-reliance main products of food and achievement of the level established by the doctrine of food security of the country. A necessary condition of creation of dynamically developing and competitive industry in the world and domestic markets is a fixed growth in volumes of the state support, upgrade old and development of new programs of support of the village and agricultural producers
The efficiency of launching the strategy planning system was examined. The system enables the organization to forecast sales indexes more precisely and get more profit by using its resources rationally in the retailment of the Krasnodar region
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
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
Dependence of the fishery efficiency to the number of factors is determined. Dynamics of industry’s profitability is prognosticated. The strategy of development of fishery is fixed. Marketing strategy of reconstruction and development of the fish industry is worked out
The article deals with the possibility of expanding of agricultural tools in risk management based on commodity financial instruments and weather derivatives. On the basis of summarizing the research results of domestic and foreign scholars and creative interpretation of the results the authors supplemented and refined definition of the category of "risk" and "risk of agricultural production” is obtained. The article supplements classification of risk in agricultural production and circulation of agricultural products, considers a proven techniques and methods of agricultural risk management, discusses the current trends of the global and domestic market of derivatives, gives a market segmentation by type of derivative instruments and the characteristics of the underlying assets, analyzes the reasons for the low level of development of derivatives markets at the meso level using the example of the Krasnodar Region, describes the potential derivatives in addressing management of agricultural risks on the basis of foreign sources, gives an insufficient level of financial literacy of potential participants, the lack of regulations and regulatory infrastructures, describe the problem of accounting and reporting of the results of operations in this segment, insufficient training of market operators and reveals the possibility of expanding the agricultural tools of risk management