• The value of the industry coefficient localization ratio P o tent ia l g ro wt
  • European Research Studies Journal




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    Bog'liq
    Development of Integration Processes in the Agro-Industrial Complex of the Russian Regions
    Mavzu algoritm, 122365, 3-mavzu, DASTURLASH.1 DI-12-22. Mustaqil ish-4, arka bahce, Tadbir 2 .7doc, Аммиакли селитра ишлаб чиқаришидаги НИФ қурилмасининг иссиқлик техник, Rahmatjon abduqodirov, fNLwYhTw4ySRF0Zi34X73GoHt2oUBbQi7HX5Y2ow, Referat, opshita royxat, Uch karrali integrallar-fayllar.org, 111 Ochiq , 3 Haziniy devoni .G’azallar tahlili
     
    H
    ig
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    Quadrant 2: High integration 
    opportunities
    (development of Financial and Agro-
    Industrial groups, agricultural holdings) 
    Quadrant 1: Absolute 
    integration
    (development of agricultural 
    parks, clusters) 
    L
    ow
    Quadrant 4: Extremely low integration 
    opportunities
    (development of associations, unions) 
    Quadrant 3: Low integration 
    opportunities
    (development of associations, 
    unions) 
    The proposed methodology was tested on the materials of the Altai Republic. The 
    following matrix was filled out based on these materials (Table 3). 
    Table 3. Decision-making matrix on the development of integration processes in the 
    agro-industrial complex of the Altai Republic 
    The value of the industry coefficient localization ratio 
    P
    o
    tent
    ia

    g
    ro
    wt
    h
     in
     
    ind
    u
    st
    ry
     
    h
    ig
    h
    Quadrant 2: 
    poultry husbandry (K
    ri
    =0,95), 
    vegetable farming (K
    ri
    =0,58), 
    fruit farming (K
    ri
    =0,32). 
    Quadrant 1: 
    cattle husbandry (K
    ri
    =2,87), 
    sheep husbandry (K
    ri
    =2,34), 
    maral deer husbandry (K
    ri
    =1,03), 
    bee-farming (K
    ri
    =1,06). 
    lo
    w
    Quadrant 4: 
    pig husbandry (K
    ri
    =0,8), 
    rabbit husbandry (K
    ri
    =0,54), 
    field husbandry (K
    ri
    =0,41), 
    melon growing (K
    ri
    =0,21), 
    gardening (K
    ri
    =0,1). 
    Quadrant 3: 
    horse breeding (K
    ri
    =1,98), 
    grassland husbandry (K
    ri
    =1,1). 
    The results of testing the developed methodology based on the example of the Altai 
    Republic reveal that in the agro-industrial complex of the region, cluster 
    development strategies are possible for implementation in the cattle breeding, sheep 
    breeding, maral breeding and beekeeping industries (
    Cherepovitsyn et al., 2017)



    A.V. Glotko, I.N. Sycheva, A.N. Dunets, A.L. Poltarykhin, P.V. Zhuravlev, A.A. Tubalets 

    Enterprises of the poultry, vegetable and fruit growing industries have high 
    integration capabilities (Romasheva et al., 2018). The maral breeding industry has 
    the greatest potential for creating intra-integration structures in the Altai Republic 
    (Poltarykhin and Tarasova, 2014).
    It was also revealed that from the standpoint of the development of interregional 
    agro-industrial relations, the cooperation of the Altai Republic with the Altai 
    Territory is most promising. We have concluded that the creation of an extracluster 
    is most appropriate in the dairy and beef cattle industries, since these industries are 
    characterized by the largest contribution to the gross product. In order to determine 
    the economic result of the introduction of intra- and extra-integrated structures in the 
    agro-industrial complex of the region (Peshkova et al., 2017), we have developed an 
    appropriate forecasting technique for predicting the development of the agro-
    industrial complex of the region based on the intra and extra-integration structures 
    from of the scenario approach (Cherepovitsyn and Ilinova, 2018). 
    The first stage involves an assessment of the parameters of the ‘business-as-usual’ 
    scenario of the development of the agro-industrial sector using the Microsoft Office 
    Excel software package. The forecast indicators of the industries of maral breeding 
    and cattle breeding in the Altai Republic for 2018-2025 were produced with the help 
    of a linear prediction function: 
    ,
    where 
    ,

    It was identified that as a result of the ‘business-as-usual’ development of the 
    branches, the number of marals in the Altai Republic will have increased by 7.2% by 
    2025, and the number of cattle by 18.4% compared with the current level. 
    To compile a target scenario for the development of livestock industries in the Altai 
    Republic involving the development of intra- and extra-integration structures (stage 
    2 of the proposed methodology), the effect of cost reduction in product cost as part 
    of the expansion of operations of integrated structures was calculated (Table 4). 

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