The article discusses the issues of determining the crop production profitability, which may arise when assessing agricultural land in the Samara region. When evaluating profitability, it is necessary to take into account revenue, cost of production. Moreover, taking into account factors for a short-term period (1 year) does not give a real picture, so in the context of counter-sanctions, when agricultural producers are in favorable conditions, an increased value of profitability is noted, which is impossible in the longterm.

According to the current Food Security Doctrine, in the Russian Federation, the main indicator of food security is food self-sufficiency. Along with this indicator, we propose to use the self-sufficiency level indicator when planning food security of a certain territory and introduce the concept of the adequacy of state support. Based on calculations, it can be stated that the existing subsidy system of the Samara region is suboptimal in terms of ensuring food security. Subsidies for four product groups are almost equal to agricultural state support in the Samara region, which indicates underfunding of production of these and other product groups.

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The article discusses the situation with the restoration of the machine and tractor fleet of agricultural enterprises in the Samara region and determines the role of individual elements of the economic mechanism. In modern conditions, the main guarantee of the success of agricultural production is the maximum mechanization of production processes. Replacement of manual labor by machine allows reducing the cost of production, increasing its output, implementing modern industrial technologies, reducing the dependence of the result on the human factor. The purpose of this study is to determine the capabilities of agricultural enterprises in the Samara region to modernize the composition of the equipment used. The number of almost all types of energy and agricultural machinery compared with the 1995 level has decreased significantly. At the same time, energy supply per 100 hectares of arable land has stabilized, which is explained by the choice of powerful, productive equipment. The situation can be corrected by increasing the profitability of crop production and correcting the situation with price disparity. Direct government funding for acquisitions has declined. Among the instruments of state support, along with interest rate subsidies, subsidization of expenses for the purchase of cars has been widely used. The amount of subsidies reaches 492.2 million rubles (2013). The applied measures of state support in the conditions of the Samara region are complex and, with prolonged use, can solve the problem of updating equipment.

Considering that in recent decades there has been a dramatic increase in the amount of industrial disasters, among which accidents on chemical facilities retain a significant place, forecasting tasks and accident consequence assessment on hazardous chemical facilities are analyzed in this paper. The task of the emergency area size determination, as well as the determination of building destruction level, and the facility personnel and public expenses. The objective of the paper is to review the existing methodologies of forecasting and create a software system for accident consequence forecasting on hazardous chemical facilities. Methodology. The analysis of different methods of damage estimation, conducted by the author, allowed for the general scheme of damage from accidents on potentially hazardous facilities estimation to be made. Furthermore, the author analyzed potential objects of chemical pollution in the Saratov region. The paper demonstrates phases of theoretical development and implementation of software program for accident consequence assessment and modeling on hazardous chemical facilities. The developed software system has a connection with Google Maps GMap.NET, which allows to visualize the obtained assessment results. Results. The result of practical implementation of the application developed by the author is an accident model for a facility, using chlorine substances, the amount of pollution measurement and territory pollution determination. Conclusion. The paper shows that the implementation of the program system developed in the work of organizations will help the heads to minimize possible losses of working personnel, public and organization financial losses.. The author notes that the application developed is free from the main disadvantages of existing programs, more specifically, the absence of the possibility to estimate the physical damage caused by the accident.

The article presents the method for the assessment of the amount of improper use (diversion) of agricultural lands at the regional and municipal district levels. The purpose of the research is to improve the method for the calculation of economic loss caused by the diversion of agricultural lands. As a result of the research three kinds of works were distinguished characterized by a different damage structure and a period of time during which the agricultural lands are being occupied. For each of them a different method to assess the economic loss and the formula for its calculation is suggested. The research results are validated within Samara region.

Government support for the development of biofuel production is a relevant part of the system of budget regulation of agricultural production in the Russian Federation. Currently, there is no sound financing method for mechanisms of state regulation of biofuel production which impedes impartial allocation of funds and makes this procedure non-transparent and not motivated enough. In view of this situation, a mathematical economic model was developed that allows one to calculate the optimum level of government support for every type of biofuel considering main areas of state support. We propose to consider three scenarios for the determination of the optimum level of public funding. The first one allows for optimization of the level of government support considering sizes of agricultural production for the i-th crop to provide farms of the region. The second scenario suggests the determination of the maximum profit from the biofuel production through increased agriculturally used areas. Finally, the third one considers calculation of the minimum expenses of achieving the volume of production that provides the farm with raw materials. According to the first scenario, the optimum level of government support for the field should be 1163.6 million rubles. In the implementation of the second scenario in the Samara region, the agriculturally used area planted with oil crops should be increased by 47.1 thousand ha.

A methodology for information preparation for cadastral valuation of agricultural lands is proposed. The methodology was tested during agricultural lands appraisal in Samara Region. The current results were compared to previous ones. Average variation in the region between maximum and minimum yields in districts is 1.95, given that the maximum variation is 2.58 (Yelkhovsky District) and the minimum is 1.44 (Bogatovsky District). In 6 districts the ranking created based on ‘cadastral appraisal’ indicator does not coincide with rankings based on other indicators. Though in 21 districts both rankings are in line with each other.