IDEAS home Printed from https://ideas.repec.org/a/aiy/journl/v1y2015i2p315-324.html
   My bibliography  Save this article

Priority Directions of the Regional Food Complex Effectiveness Increase

Author

Listed:
  • Karkh, D. A.
  • Gayanova, V. M.
  • Aymel, P.

Abstract

In the article, the modern trends of management integration as a solution of food and sectoral problems are considered. On the basis of national and foreign experience of development of integration, the classification of integration in economic systems is developed. Based on the given classification, the concept of integration is conducted. In the article, much attention is given to the food problem solution, which depends more on the agro-industrial complex based on metaintegration. The leading place of a food complex in the system of agro-industrial complex is caused by a role of food and food raw materials in life of the population of the country. The ratio of the sectors participating in the food production and consumer goods makes the sectoral structure of agro-industrial complex. In the conditions of the resource limitation necessary for the production and food delivery to the domestic market, the role of trade will increase not only in agro-industrial complex, but in all national economy. Also, in this article, the phenomenon of clusters is studied. The attention to clusters as to innovation systems reflects a rising tide of interest of economic science to the questions of economics functioning in regional level and understanding of a role of specific local resources in stimulation of innovative opportunities and competitiveness of small and medium business. Creating a cluster, participants develop the spatial and organizational integrated structure, in interaction of legal entities the status is saved and cooperation provides competitive advantages with other business entities. The role of the state in integration of cluster formations in the Russian Federation is more significant, than in any other country. The state represented by regional authorities actively participates in decision-making process by the business located in its catchment area not only through membership in governing bodies of large joint stock companies.

Suggested Citation

  • Karkh, D. A. & Gayanova, V. M. & Aymel, P., 2015. "Priority Directions of the Regional Food Complex Effectiveness Increase," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 1(2), pages 315-324.
  • Handle: RePEc:aiy:journl:v:1:y:2015:i:2:p:315-324
    DOI: 10.15826/recon.2015.2.014
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10995/47776
    Download Restriction: no

    File URL: https://libkey.io/10.15826/recon.2015.2.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Ron Martin & Peter Sunley, 2003. "Deconstructing clusters: chaotic concept or policy panacea?," Journal of Economic Geography, Oxford University Press, vol. 3(1), pages 5-35, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Denis Samygin, 2017. "Design Model for the Development of Agrarian Economy: Food Aspect," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 591-603.
    2. Tatiana Belova, 2019. "The Processes of Import Substitution in the Agro-Food Sphere: Success or Failure?," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 285-297.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dmitriy Karkh & Venera Gaianova & Philip Imel, 2015. "Priority Directions of The Regional Food Complex Effectiveness Increase," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 260-271.
    2. Kerstin Pull & Birgit Pferdmenges & Uschi Backes-Gellner, 2017. "Do Research Training Groups Operate at Optimal Size?," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 18(2), pages 129-145, May.
    3. Ghiyasi, Mojtaba & Cook, Wade D., 2021. "Modelling the semi-additive production technology in DEA," Omega, Elsevier, vol. 103(C).
    4. Khanjarpanah, Hossein & Jabbarzadeh, Armin, 2019. "Sustainable wind plant location optimization using fuzzy cross-efficiency data envelopment analysis," Energy, Elsevier, vol. 170(C), pages 1004-1018.
    5. Premachandra, I.M. & Bhabra, Gurmeet Singh & Sueyoshi, Toshiyuki, 2009. "DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique," European Journal of Operational Research, Elsevier, vol. 193(2), pages 412-424, March.
    6. Chun-Chu Liu, 2008. "Evaluating the operational efficiency of major ports in the Asia-Pacific region using data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 40(13), pages 1737-1743.
    7. Agrell, Per J. & Teusch, Jonas, 2020. "Predictability and strategic behavior under frontier regulation," Energy Policy, Elsevier, vol. 137(C).
    8. Xianhua Wu & Yufeng Chen & Ji Guo & Ge Gao, 2018. "Inputs optimization to reduce the undesirable outputs by environmental hazards: a DEA model with data of PM2.5 in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(1), pages 1-25, January.
    9. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    10. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    11. Huaimo You & Hong Fang & Xu Wang & Siran Fang, 2018. "Environmental Efficiency of Photovoltaic Power Plants in China—A Comparative Study of Different Economic Zones and Plant Types," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    12. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    13. Førsund, Finn, 2015. "Economic Perspectives on DEA," Memorandum 10/2015, Oslo University, Department of Economics.
    14. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    15. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    16. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    17. Kavčáková, Michaela & Kočišová, Kristína, 2020. "Using Data Envelopment Analysis in Credit Risk Evaluation of ICT Companies," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(3), December.
    18. Wojciech Major, 2015. "Data Envelopment Analysis as an instrument for measuring the efficiency of courts," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 25(4), pages 19-34.
    19. Matthews, Kent & Guo, Jianguang & Zhang, Nina, 2007. "Rational Inefficiency and non-performing loans in Chinese Banking: A non-parametric Bootstrapping Approach," Cardiff Economics Working Papers E2007/5, Cardiff University, Cardiff Business School, Economics Section.
    20. Bogusław Guzik, 2007. "Including substitution of inputs in DEA models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 17(3-4), pages 71-92.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aiy:journl:v:1:y:2015:i:2:p:315-324. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Irina Turgel (email available below). General contact details of provider: https://edirc.repec.org/data/seurfru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.