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the Comparative estimation of a condition and potential of development of agrarian production in Kursk area

Under V.Z.Mazloeva's fair assertion, throughout all poreformennogo the period the agrarian sector was considered as "parasite" on ekonoyomike the countries the problem of the effective organisation sobyostvennogo agrarian production as it was supposed, thus, was not put, that the problem of acquisition of articles of food and agricultural raw materials will be decided for the account of "hydrocarbonic paradise» [239].

A consequence rasyosuzhdeny that throughout the long period of time many problems of the state agrarian policy were decided valjuntaristskimi by methods became such, the uniform methodology of planning, rasyopredelenija and estimations of productivity of budgetary funds, otyosutstvovali priorities in expedient application of this or that form of the state support has not been generated «, and regulating effect was reduced, preyoimushchestvenno, to fiscal measures» [240]. In the formed conditions difficultly peyoreotsenit significance of business factors and scientific knowledge, raskryvayojushchih prospects of system development of agrarian sector of economy regiyoona. V.Z.Mazloev, And. M.Beljakova indicate, that on the foreground there should be researches on «optimisation of territorial placing of an agricultural production and a process industry,

On working out of regional aspects of an agrarian policy, stability of times -

241 vitija rural territories, tipologizatsii agrarian regions ».

During research we had been determined types of activity of subjects agarnogo sectors of economy of region (creative and sozertsayotelnaja) and orientation is defined their (subjects). So, participants of basic blocks, with allowance for their functional, industrial and resource vozyomozhnostej, have been differentiated on the function-oriented and spatially-focused organisations. In our opinion, the greatest significance on growth of volumes and positive dynamics of a commodity agricultural production in Kursk area render and spoyosobny to render further function-oriented integriroyovannye the agroindustrial formations, which share in structure produkyotsii agriculture its growth - stable is prevailing, and. Designing of optimum productive and economic parametres of functioning of the integrated agroindustrial formations as major group of the basic organisations, called to supply predlozheyonie a commodity output i.e. to sate the local food market in the volumes necessary for maintenance of food safety of region, is the important component of structural transformations agyorarnogo sectors of economy of region.

Before to start modelling (optimisation) of parametres of functioning of the integrated agroindustrial formations, we will try to reveal conditions and preconditions of their functioning.

With the purposes of reception of objective results, the cluster analysis method, allowing to conduct grouping of regions with similar priznayokami, multidimensional classification of indicators, harakteriyozujushchih resources and results of functioning of the organisations, vypuskajuyoshchih agroarticles of food has been conducted. Subjects have entered into sample the Main line - 241Мазлоев Century Z, Beljakova A.M.agriculture of Russia through integraatsiju in superreyogionalnuju and economic: tendencies, possible strategy and risks//agrarian and industrial complex: reyogiony Russia.

- 2012, № 1. - with. 8.

nogo federal district (including Kursk area), excepting Moscow and the Moscow area, showing non-comparable to the others reyogionami results. The first group of evaluated parametres has united indicators of production and consumption of food production. The second group - indicators of scales of an agricultural production (a livestock of agricultural animals, areas under crops of agricultural crops, volumes of production of plant growing and zhivotnovodyostva). Basic data for multidimensional grouping are presented in priyolozhenii 16 (tab. 1. Item 16).

As a result of a cluster analysis it has been established, that on ten poyokazateljam consumption and production of food production subjects TSFO were distributed on 3 klastera with obviously allocated tsentroidnymi znachenijayomi (tab. 4.3).

Table 4.3 - the Cluster analysis of indicators of consumption of a foodstuff (the first group of indicators) per capita (kg a year) and proizyovodstvo food production (thousand) in subjects TSFO

KlasYO

Rubbed

Number of subjects TSentroidnye significances of indicators
Х1 Х2 Hz Х4 Х5 Hb Х7 Х8 Х9 Х10
1 5 79,8 236,2 122,8 108,8 142,8 129 169,4 6,0 87,6 533,2
2 7 64,5 223,7 114,9 99,5 109,4 23,1 88,1 2,2 54,7 45,1
3 4 64,0 207,5 139,7 111,2 116,2 54,0 163,5 2,9 97,5 6,5

Analyzing given tab. 4.3, we will notice, that the first klaster has appeared is presented by five regions, including Kursk area in which conditionally best indicators have been reached, namely: production of granulated sugar, bread and bakery items, meat and an offal, oils slivochyonogo and pastes oil, and also consumption by the population of vegetables and prodovolyostvennyh bahchevyh cultures, grain products, milk and dairy proyoduktov, a potato. Seven subjects TSFO have entered into the second klaster, predstavyo
lennyh the worst significances of indicators. Four subjects TSFO have entered into the third klaster with average significances of indicators.

The cluster analysis of regions TSFO conducted on second mnozheyostvu of the indicators, also, has allowed to receive accurately expressed three klastera (tab. 4.4).

Table 4. 4 Cluster analysis of indicators of scales selskohozjajyostvennogo productions in regions TSFO

Klas

-Rubbed

Number of subjects TSentroidnye significances of indicators
Х11 Х12 Х13 Х14 Х15 Х16 Х17 Х18 Х19
1 2 59882,5 77568,0 1942,5 1066,5 529,5 77,0 21,5 125,5 247,5
2 6 22727,7 17507,5 847,1 456,8 125,8 40,8 7,6 29,3 216,0
3 8 15632,0 13469,3 626,2 304,0 91,5 26,3 5,2 14,5 199,1

Table 4.4 termination

KlasYO

Rubbed

Number of subjects TSentroidnye significances of indicators
Х20 Х21 Х22 Х23 Х24 Х25 Х26 Х27 Х28
1 2 2804,5 5233,0 938,5 291,5 326,5 130,5 729,0 622,5 649,5
2 6 1125,1 1583,3 595,0 131,3 172,8 73,6 334,8 92,6 345,8
3 8 698,5 800,1 373,6 117,3 113,3 48,8 163,0 66,5 208,8

It is remarkable, that the first klaster (it is conditional the best significances pokayozatelej) included only 2 regions (the Belgorod and Voronezh areas). The second klaster has appeared is formed by six regions TSFO (including Kuryosky area), the average indexes presented conditionally. The third klaster includes eight regions (that makes half of all sovokupnoyosti) with conditional the worst significances of indicators on considered grupyope.

Total results complex dvuhetapnogo a cluster analysis of subjects TSFO on indicators of food safety predstavyoleny on fig. 4.3.

Drawing 4.3 () - Grouping of regions TSFO on the first group of indicators (klaster 1 - a red contour; klaster 2 - a green contour;

klaster 3 - a dark blue contour)

Drawing 4.3 (b) - Grouping of regions TSFO on the second group of indicators (klaster 1 - a red contour; klaster 2 - a green contour;

klaster 3 - a dark blue contour)

Drawing 4.3 - Results of a cluster analysis of regions TSFO

By results of a cluster analysis the Kursk area was included into group of conditionally best on indicators of production and consumption food proyoduktsii, and also in group of conditionally average on indicators of scales selyoskohozjajstvennogo productions that allows to consider region typical, justifying possibility of application developed with allowance for it spetsifiyoki recommendations in regions with similar conditions.

The cluster analysis, allowed to conduct grouping of regions TSFO, became a preparatory stage for realisation of deeper issle -

dovanija - a factor analysis. As a rule, at research difficult siyostem and objects, it appears rather inconvenient or it is simple nevozyomozhnym to allocate the factors influencing properties of data obyoektov. Besides, very often there is to unknown persons a substantial sense of the presented factors as change occurs by influence on other dependent sizes. The unknown factor is shown in change of several signs. A number of signs has interrelation, thus, the number of factors appears less numbers of variables which were vyyobrany for the analysis. At significance change on neyoizvestnuju a variable the dispersion size shows degree of influence of the factor.

So, the primary goal of a factor analysis consists in revealing of some essential factors in the general system of variables. For the decision of the given problem it is necessary to carry out consistently the following dejyostvija:

1) to reveal linearly-dependent combinations of signs;

2) to carry out rotation of the allocated factors;

3) to receive and interpret new developments.

The most important factor introducing a substantial contribution in formiyorovanie of group of indicators «consumption of a foodstuff on soul naseyolenija (kg/year) and production of food production (thousand in subjects TSFO», there was factor F1 which is formed by characteristics of per capita consumption of meat and meat products, milk and dairy products, grain products; and also meat and sugar productions (the appendix 16, tab. 2). The given factor (F1) we will position as level prodoyovolstvennoj security mjasomolochnoj and grain production. OtmeYOtim, that inclusion in the first factor of variables Х1 and Х6 with positive significances of the factorial loads accordingly expressing consumption and production of meat, means, that requirement for meat products udovleyotvorjaetsja, basically, at the expense of intraregional production.

The variables expressing production of whole-milk production, butter, are not included into factor F1, that is consumption of milk and moyolochnyh products is carried out in many respects at the expense of importation of this production from other regions.

The second factor (F2) includes variables Х4 and Х21, expressing poyotreblenie and production of vegetables accordingly. It means, that potrebyonost in vegetable production is satisfied basically for the account vnutriregiyoonalnogo productions.

The third factor (F3) is formed by production and consumption indicators it is traditional the major national kind of the foodstuffs - a potato, the requirement in which, also, is satisfied in the majority of regions TSFO at the expense of intraregional production (tab. 3, Item 16).

The factor analysis gives the chance quantitative expression rasyosmatrivaemoj groups of indicators by means of integrated numerical characteristics of objects of research corresponding to factors - regions TSFO. Integrated characteristics of consumption of a foodstuff on duyoshu the population and productions of food production in physical terms allow to carry out a rating estimation of regions TSFO on each of the considered factors (tab. 4, Item 16).

The most important, the introducing greatest investment in formation vtoyoroj groups of indicators (scales of agrarian production), is fakyotor F1. Factor F2образован of a unique variable - Х19 (sowing campaigns ployoshchadi forage crops), defining the size of production of forages, from cheyogo, in turn, depends production of dairy production. This pereyomennaja has positive factorial load, that is the size of crops of forage crops is in directly proportional dependence with soyootvetstvujushchimi productive indicators food obesyopechennosti. Factor F3выражает the size of production ptitsevodyostva - eggs, and the general production of cattle and a bird on slaughter, as data about

On the basis of integrated characteristics of scales of production of agricultural production which were defined by data faktoryonogo the analysis, the rating estimation of regions TSFO on kazhyodomu from factors has been conducted. Under factor F1Курская the area takes the third place in sample; under factor F2Курская the area, also, takes the third place; under the factor F3 - the fourth place (tab. 6, Item 16).

On the basis of the conducted factor analysis of scales proizvodyostva to agricultural production follows, that the Kursk area has a high rating among subjects TSFO, but has significant reserves of achievement of level of corresponding figures of the advanced regions - Belgorod (under factors F1, F2, F3), Voronezh (under factors F1, F2, F3) and Lipetsk (under factor F3) areas.

Factor analysis development is working out of indicative specifications of agrofood security for Kursk area.

Statistical models proizvodstvenyonyh functions of evaluated parametres from earlier calculated sootvetstvuyojushchih integrated factorial characteristics of consumption and production of food production and agricultural production scales have been with that end in view constructed. The found parametres of production functions have been used in kayochestve basic data for imitating matrix ekonomikoyomatematicheskoj models of formation of indicative specifications agropro - dovolstvennoj security of Kursk area, problem statement kotoyoroj consists in the following:

To find optimum significances of indicative specifications of indicators of regional food safety of Kursk area, vyrazhenyonye variables {Xj>, 0 j=1,2..., n}, the limited following usloviyojami:

1. Definition of optimum significances of indicators regional proyodovolstvennoj safety:

2. The task of significances of factorial loads of integrated characteristics of regional food safety for the region, found rayonee at factor analysis realisation (the appendix 16)

Where j € J,

J-index;

J - Set of indexes of variables;

Where J1 - group of indexes of variables which express significances of indicative specifications;

J2 - Group of indexes of variables which express significances inteyogralnyh factorial characteristics;

au - factors of the equation of the regress, expressing proizvodstvenyonuju function of separate indicators regional food bezyoopasnosti from corresponding integrated factorial characteristics;

di-significance of//th factorial load;

Hts - required significances of indicative specifications for rassmatrivaemgo region;

The Fj-variables corresponding to factorial loads integralyonyh of factorial characteristics for Kursk area;

n - Number of indicators;

I - indexes of limiting conditions.

Statistical models of indicators of consumption of a foodstuff per capita and productions of food production in regions TSFO byyoli are calculated from corresponding integrated factorial characteristics (tab. 7, Item 16).

Factors at factorial variables define the contribution sootvetyostvujushchih integrated characteristics in formation of production function of this group of indicators. The data presented to tab. 7, Item 16, allow to draw a conclusion that with increase per unit of the factorial load F1 characterising level of food security mjasomolochnoj and grain production, meat consumption per capita (variable HD increases on 3,82 kg, milk consumption on soul naseleyonija increases by 5,91 kg (variable Х2), consumption grain produkyotov per capita (variable Х5) increases by 5,4 kg, and potrebleyonie vegetables (variable Х4) and a potato (variable Х3) are reduced, sootyovetstvenno, on 2,76 and 1,01 kg. Obviously, display of these dependences obuyoslovlivaetsja change of structural parities between elements tiyopov a population food. Thus counting on individual increase faktoyora F1производство meat (variable Х6) increases by 15,9 thousand t, poyoskolku meat consumption is supplied at the expense of intraregional proizyovodstva, and the rate of increase of production of whole-milk production (pereyomennaja Х7) becomes negative as its general increase potrebyolenija is supplied mostly at the expense of its external sources poyostuplenija. Individual increase of factor F2 characterising proizvodyostvo vegetable and whole-milk production, explained by a combination of these branches in the specialised agricultural enterprises, soyoprovozhdaetsja increase in production of whole-milk production (pereyomennaja Х7) on 31 thousand t, a butter (variable Х8) on 1,2 thousand t, ovoyoshchej (variable Х21) on 23,27 thousand t. It means, that at individual uveyolichenii factor F2только at the expense of intraregional production, potrebyolenie milk (variable Х2) and vegetables (variable Х4) per capita increase, accordingly, on 0,98 and 5,3 kg.

Factor F3значимо expresses national significant structural eleyoment - the interconnected indicators of intraregional production and potato consumption. Counting on individual increase of significance fak -

The conducted factor analysis has allowed to define sizes fakyotornyh loads and to receive standard significances of indicators, vyrazhajuyoshchih consumption of a foodstuff per capita and production ag - roprodovolstvennyh the goods in considered region (tab. 8, Item 16). It is necessary to notice, that by data about factorial loads on regions it is possible to construct corresponding imitating models for each of shestnayodtsati subjects TSFO entering into sample.

Data of the conducted modelling researches (tab. 9, Item 16) pozvoyoljajut to draw a conclusion that actual consumption of the basic articles of food per capita in region close to the standard: potrebleyonie meat products makes 100,5; dairy - 95,6; a potato - 97,3; grain items - 118 % from corresponding optimum indicative specifications. Thus intraregional production of meat, whole-milk production and a butter is significant below standard level and soyootvetstvenno makes from optimum standard indicators 56, 48,3 and 31,8 % (fig. 4.4). On a unique kind of food production - to sugar - the size of intraregional production corresponds standard indikayotoru and makes 104,7 % from its significance. Hence, the Kursk area as large agrarian region has significant reserves in expansion of intraregional production mjasomolochnoj production that is extremely necessary for increase of level of food safety of region.

Drawing 4.4 - Specifications of consumption of a foodstuff per capita (kg/year) and productions of food production (thousand) in Kursk area

With increase per unit of factorial load F1посевные of the area of grain and leguminous cultures (variable Х14); a potato (variable Х16у, sugar-beet (variable Х18); accordingly will increase on 90; 2,5;

5,2 thousand in hectares; grain total harvests (variable Х20), sugar-beet (pereyomennaja Х22), a potato (variable Х23) increase accordingly on 235,8; 437,4; 38,3 thousand t. Thus counting on individual increase fakyotora F1, characterising basically the scales commodity rastenievodyostva, the livestock of pigs (variable Х26) increases by 42,7 thousand goal., poyoskolku development of this branch is interfaced to expansion of intraregional production of grain, and the number of cattle (variable Х24) and milk production (variable Х28) accordingly decrease for 3,7 thousand goals and 10,1 thousand t, that speaks insufficient rates rasshireyonija a plant growing forage reserve at domination commodity rastenieyovodstva and svinovodstva.

Factor F2характеризует the sizes of areas under crops fodder kulyotur (variable Х19), that is a cattle breeding forage reserve. Therefore at ediyonichnom increase of this factor milk production (variable Х28) increases on 27,4 thousand t, cattle and bird production however is reduced to slaughter (variable Х27) on 19,3 thousand t as it is supplied basically for the account svinovodstva and brojlernogo poultry farming.

Factor F3характеризует the poultry farming contribution in regional prodoyovolstvennoj safety, therefore counting on individual increase of this factor production of eggs (variable Х29) increases on 213,3 milliyoona, and cattle and bird production on slaughter (variable Х27) increases by 101,6 thousand t, that speaks the significant contribution brojlernogo ptitsevodyostva in formation of this indicator regional food bezyoopasnosti.

The conducted factor analysis has allowed to define sizes fakyotornyh loads and the production functions used for modeyolirovanija of indicative indicators of scales of an agricultural production in Kursk area (tab. 10, Item 16).

Modelling accounts allow to justify optimum indicative specifications of the indicators defining scales of an agricultural production in Kursk area (tab. 11, Item 16).

As shows the carried out research areas under crops zernoyovyh and leguminous cultures, a potato are close to corresponding indikayotivnym to specifications. Areas under crops vegetable and forage crops less than standard level, accordingly, on 23,9 % and 5 %, that negativyono affects development of the branches giving the high investment in the decision proyoblemy of food maintenance.

Actually reached production of all kinds selskohozjajstvenyonoj production, except for factory sugar-beet, does not reach level of optimum indicative specifications (fig. 4.5), that the general conclusion allows to draw on necessity of the further intensification selyo

skohozjajstvennogo productions by comprehensive innovative razyovitija for achievement of necessary level in modern conditions prodoyovolstvennoj safety.

Drawing 4.5 - Standard significances of the indicators expressing volumes of production of agricultural production in Kursk area

The purpose of the considered factor analysis was to establish, what siyotuatsija develops in region with production of articles of food and agricultural raw materials. If in the previous paragraph, we provodiyoli a comparative estimation of regions of the Central federal district, pyyotalis to reveal potential of Kursk area to develop agroindustrial production, studied the preconditions created for this purpose by a government program current reasonings and accounts urged to conduct gluboyoky the analysis of a condition and prospects of saturation of the local (regional) food (agrofood) market a commodity output of own production, i.e. to investigate possibilities prodovolstvenyonogo maintenance of region at the expense of a commodity output own proizyovodstva.

The analysis of the developed situation finds out, at least, two proyoblemy: imperfection of system according to plan-prognoznoj works, projavljajushcheeyosja that the programs accepted to realisation do not comprise nauchnoyoobosnovannyh accounts of the coordination of resource potential, balances proyoizvodstva and distributions of agricultural production, agricultural production placing; necessity structural preobrayozovany agrarian sector regarding fastening to the basic organisations of fulfilment of the functions peculiar to them, allowing to supply tselesoobyoraznuju proportionality of production agrofood produkyotsii. In our opinion, commodity output production is effective can be carried out only in integrated agroindustrial foryomirovanijah, forming the block of the function-oriented basic organisations. The integrated agroindustrial formations of Kursk area - not an exception. However, according to conducted raschetayomi, indicators of production of all kinds of agricultural production, except for the factory sugar-beet, reached in Kursk area, appear considerably below level optimum indicative normayotivov. The given circumstance induces us to optimisation of plans proizyovodstva in the integrated agroindustrial formations of region, as developed level of productivity of agrarian production harakyoterizuetsja low food security of region at the expense of internal sources.

The availability of threat of loss of food safety in Kursk area became the basis for designing of parametres funktsionirovayonija the integrated agroindustrial formations as the funktsionalyono-focused basic organisations responsible for mass proyoizvodstvo of a commodity output. Designing has been executed on Open Company example «Medvensky agroassociation» Medvensky area on Kursk oblayosti. This economy is characterised typical for integrated agroyopromyshlennyh the formations functioning in region, parametres
(The size, resource maintenance, soil-climatic conditions). It speyotsializatsiej production of meat-and-milk production, grain crops, sugar-beet is.

As the defects defining the preconditions of optimisation of prospects of development considered integrated agropromyshlenyonogo of formation, it is necessary to allocate the following. Applied on protjayozhenii the last years the structure of areas under crops of Open Company «Medvensky agyoroobedinenie» not completely considers a soil-protective role of cultures, their effect on level erodirovannosti soils, adaptive ability, level of efficiency of cultivation of the grown up cultures, also not considered there are influence of cultivated kinds of cultures on phytosledge - tare conditions and properties of soil; recommendations on razmeyoshcheniju cultures for their cultivation on arable lands of various user groups are not considered. The indicated defects are typical and characters for podobyonyh the organisations functioning in Kursk area.

For removal of imperfection of industrial structure and proyogrammy the integrated agroindustrial formation it is offered to conduct optimisation by criterion of achievement of a maximum of profit with ucheyotom possibilities of the maximum restoration gumusa. For this purpose neobhoyodimo to carry out compromise programming with attraction metoyoda I.Saska. The compromise plan perspective industrial proyogrammy the modelling integrated agroindustrial formation consists in simultaneous achievement of the maximum parametres priyobyli and restoration of soil fertility in an estimation on balance gumusa in soil.

For the proof of preference compromise programmiyorovanija industrial structure integrated agropromyshlennoyogo formations in comparison with its unilateral optimisation, orientiroyovannoj, as a rule, on profit maximisation it has been used metodiyoka, developed by us in the co-authorship from M.V.Shatohinym,
V.S.Krivoshlykovym [242]. Introduction as additional criterion veyolichiny accumulation gumusa in soil (optimisation of this significance) sootvetyostvuet to a priority problem of the federal and regional program razviyotija agriculture - restoration of soil fertility.

For the purpose of realisation of multiple accounts it has been used specially developed unified economic-mathematical moyodel, allowed to receive 1 7 results presented in the appendix.

The structure of areas under crops calculated on a basis ekonomikoyomatematicheskogo of modelling, assumes distributed ispolzovayonie arable lands and corresponds to the general (for all categories of an arable land) and spetsificheyoskim (for separate user groups) to the requests presented to crop rotations in all variants of optimum planned decisions. Thus the area of crops of a winter wheat remains stable in all varianyotah the plan, the spring wheat area in the conciliatory proposal sootvetyostvuet to a decision variant by criterion «a profit Maximum», the area poseyova sugar-beet in the compromise plan is maximum and soyostavljaet 1200 hectares.

The advanced structure of areas under crops is co-ordinated with the system of crop rotations generated on an aerolandscape basis, uchiyotyvaja thus organizational and territorial features rassmatyorivaemoj the organisations, and can act in a role of a reference point for the permission of a similar problem in average and large integrated agropromyshlenyonyh formations.

17 data presented in the appendix testify about vozmozhyonosti applications of key factors and sources of receipt of useful organic chemistry in soil that promotes achievement, at any variant opti -

From the point of view of the coordination of prospect of increase soil ployodorodija at the expense of the maximum accumulation gumusa and level increases efyofektivnosti productions, already in the short-term period most predpoyochtitelen a compromise variant of the plan.

In a compromise variant the least production of commodity barley which is used in this variant basically on fodder, maximum proizvodyostvo grechihi, sunflower and sugar-beet in comparison with variants of planned decisions by unilateral criteria is reached close to maximum proyoizvodstvo wheat. In all variants optiyomalnyh plans are supplied equal and exceeding actual uroyoven volumes of production of animal industries (the appendix 17).

Achievement of optimum structure of an area under crops, and also bayolansirovanie the cost and accumulation gumusa in the course of cultivation poleyovyh cultures, annual diets of feeding of animals stipulates povyyoshenie economic efficiency modelling the enterprises.

The obtained data of planned accounts on the modelling enterprise allow to draw a conclusion, that optimisation according to reception maksimalyonogo level of a gain from realisation and profit will allow to increase rentayobelnost to level of 31,3 %, however there will be a decrease in fertility of soil. Optimisation by criterion of maximisation of accumulation gumusa, will be sposobyostvovat to intensive development of plant growing, but will reduce rentabelyonost to 29,1 %. Optimisation according to two presented criteria will allow to consider not only minima of deviations of functions from maksiyomalnyh significances of each criterion, but also agroeconomic requests. The given decision will allow to reach profitability level in 30 %, to supply the expanded reproduction and will save fertility of soil.

The carried out accounts allow to make the conclusion that at compromise programming of industrial structure and programyomy the integrated agroindustrial formation on a complex ag - roekonomicheskih criteria the coordination of the purposes system razyovitija agrarian sector of economy of region at the expense of effective funktsioyonirovanija groups of the basic organisations responsible for the offer toyovarnoj of agrofood production is reached.

Results of planning of parametres of development country (fermeryoskih) economy are presented in the appendix 18.

Thus, with the help klasternogo and a factor analysis, metoyodom regressionnogo the analysis and by means of other receptions ekonomikoyomatematicheskogo modelling we had been received submissions about vozyomozhnostjah effective functioning of the basic organisations agrarnoyogo sectors of economy of region: function-oriented (integriyorovannyh agroindustrial formations and it is independent funktsionirujuyoshchih the agricultural organisations) and prostranstvennoyoorientirovannyh (country (farmer) economy). Parametres effekyotivnogo functioning of groups of the basic organisations have been co-ordinated among themselves and with the program of development of agrarian sector of economy of region. As a result of optimisation of quantitative estimations of volumes of made production in each group of the basic organisations has been received perspektivyonyj the plan of agroindustrial production in the region, comprising target reference points of working out and realisation of a policy of maintenance prodoyovolstvennoj safety of region.

5.

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A source: ZHAHOV NIKOLAY VLADIMIROVICH. STATE REGULATION of SYSTEM DEVELOPMENT of AGRARIAN SECTOR of ECONOMY of REGION. The dissertation on competition of a scientific degree of the Doctor of Economics. Kursk - 2018. 2018

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