IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v66y2020i3id255-2019-agricecon.html
   My bibliography  Save this article

Parameters of the strategy for managing the economic growth of agricultural production in Russia

Author

Listed:
  • Marina Anokhina

    (Department of Organizational and Managerial Innovations, Plekhanov Russian University of Economics, Moscow, Russian Federation)

Abstract

Agricultural economic growth requires management due to poor structurization. The study aimed to determine the parameters of the management strategy for the economic growth of agriculture in Russia. The research methodology relies on cognitive technologies of modelling the strategic alternatives of the economic development of the industrial complex using fuzzy cognitive logic. Static and dynamic analysis of the fuzzy cognitive maps on structural and dynamic indicators of agricultural economic growth in Russia allowed the forecast of the industry trends, influenced by various management factors. The option of an integrated management strategy for the economic growth of agriculture in Russia is proposed together with strategic maps, justified as a tool for its implementation. The created strategic alternative will allow the Russian agricultural and industrial complex to use the existing agricultural potential to achieve the target growth indicators and ensure sustainability.

Suggested Citation

  • Marina Anokhina, 2020. "Parameters of the strategy for managing the economic growth of agricultural production in Russia," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(3), pages 140-148.
    • Handle: RePEc:caa:jnlage:v:66:y:2020:i:3:id:255-2019-agricecon
    DOI: 10.17221/255/2019-AGRICECON
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/255/2019-AGRICECON.html
    Download Restriction: free of charge
    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/255/2019-AGRICECON.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/255/2019-AGRICECON?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Solana-Gutiérrez, Joaquín & Rincón, Gonzalo & Alonso, Carlos & García-de-Jalón, Diego, 2017. "Using fuzzy cognitive maps for predicting river management responses: A case study of the Esla River basin, Spain," Ecological Modelling, Elsevier, vol. 360(C), pages 260-269.
    2. Stefanos Dodouras & Philip James, 2007. "Fuzzy cognitive mapping to appraise complex situations," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 50(6), pages 823-852.
    3. M. Shamim Khan & Mohammed Quaddus, 2004. "Group Decision Support Using Fuzzy Cognitive Maps for Causal Reasoning," Group Decision and Negotiation, Springer, vol. 13(5), pages 463-480, September.
    4. Marta Olazabal & Marc B. Neumann & Sébastien Foudi & Aline Chiabai, 2018. "Transparency and Reproducibility in Participatory Systems Modelling: the Case of Fuzzy Cognitive Mapping," Systems Research and Behavioral Science, Wiley Blackwell, vol. 35(6), pages 791-810, November.
    Full references (including those not matched with items on IDEAS)

    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. López-Bernabé, Elena & Linares, Pedro & Galarraga, Ibon, 2022. "Energy-efficiency policies for decarbonising residential heating in Spain: A fuzzy cognitive mapping approach," Energy Policy, Elsevier, vol. 171(C).
    2. Marilena - Aura Din & Cristina Coculescu, 2015. "Modeling Of Urban Policies For Housing With Fuzzy Cognitive Map Methodology," Romanian Economic Business Review, Romanian-American University, vol. 9(2), pages 276-290, December.
    3. Khumairoh, Uma & Teixeira, Heitor Mancini & Yadav, Sudhir & Schulte, Rogier P.O. & Batas, Mary Ann & Asmara, Degi Harja & Flor, Rica Joy & Agustina, Rohmatin & Setiawan, Adi & Nurlaelih, Euis E. & Pur, 2024. "Linking types of East Javanese rice farming systems to farmers' perceptions of complex rice systems," Agricultural Systems, Elsevier, vol. 218(C).
    4. Goswami, Rupak & Roy, Kalyan & Dutta, Sudarshan & Ray, Krishnendu & Sarkar, Sukamal & Brahmachari, Koushik & Nanda, Manoj Kr. & Mainuddin, Mohammed & Banerjee, Hirak & Timsina, Jagadish & Majumdar, Ka, 2021. "Multi-faceted impact and outcome of COVID-19 on smallholder agricultural systems: Integrating qualitative research and fuzzy cognitive mapping to explore resilient strategies," Agricultural Systems, Elsevier, vol. 189(C).
    5. Maria J. M. Ladeira & Fernando A. F. Ferreira & João J. M. Ferreira & Wenchang Fang & Pedro F. Falcão & Álvaro A. Rosa, 2019. "Exploring the determinants of digital entrepreneurship using fuzzy cognitive maps," International Entrepreneurship and Management Journal, Springer, vol. 15(4), pages 1077-1101, December.
    6. Pramod K. Singh & Konstantinos Papageorgiou & Harpalsinh Chudasama & Elpiniki I. Papageorgiou, 2019. "Evaluating the Effectiveness of Climate Change Adaptations in the World’s Largest Mangrove Ecosystem," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    7. Frank van Kouwen & Carel Dieperink & Paul P. Schot & Martin J. Wassen, 2007. "Interactive Problem Structuring with ICZM Stakeholders," Working Papers 2007.52, Fondazione Eni Enrico Mattei.
    8. Alizadeh, Somayeh & Ghazanfari, Mehdi, 2009. "Learning FCM by chaotic simulated annealing," Chaos, Solitons & Fractals, Elsevier, vol. 41(3), pages 1182-1190.
    9. Payam Aminpour & Heike Schwermer & Steven Gray, 2021. "Do social identity and cognitive diversity correlate in environmental stakeholders? A novel approach to measuring cognitive distance within and between groups," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-18, November.
    10. Youngseok Choi & Habin Lee & Zahir Irani, 2018. "Big data-driven fuzzy cognitive map for prioritising IT service procurement in the public sector," Annals of Operations Research, Springer, vol. 270(1), pages 75-104, November.
    11. R. S. Clements & S. K. Birthisel & A. Daigneault & E. Gallandt & D. Johnson & T. Wentworth & M. T. Niles, 2021. "Climate change in the context of whole-farming systems: opportunities for improved outreach," Climatic Change, Springer, vol. 166(3), pages 1-20, June.
    12. Rashaad E. T. Jones & Erik S. Connors & Mary E. Mossey & John R. Hyatt & Neil J. Hansen & Mica R. Endsley, 2011. "Using fuzzy cognitive mapping techniques to model situation awareness for army infantry platoon leaders," Computational and Mathematical Organization Theory, Springer, vol. 17(3), pages 272-295, September.
    13. Ghaboulian Zare, Sara & Alipour, Mohammad & Hafezi, Mehdi & Stewart, Rodney A. & Rahman, Anisur, 2022. "Examining wind energy deployment pathways in complex macro-economic and political settings using a fuzzy cognitive map-based method," Energy, Elsevier, vol. 238(PA).
    14. Jozsef Mezei & Peter Sarlin, 2014. "Aggregation operators for the measurement of systemic risk," Papers 1412.5452, arXiv.org, revised Dec 2014.
    15. Konstantinos Papageorgiou & Pramod K Singh & Elpiniki I Papageorgiou & Harpalsinh Chudasama & Dionysios Bochtis & George Stamoulis, 2020. "Participatory modelling for poverty alleviation using fuzzy cognitive maps and OWA learning aggregation," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-28, June.
    16. van Kouwen, Frank & Dieperink, Carel & Schot, Paul P. & Wassen, Martin J., 2007. "Interactive Problem Structuring with ICZM Stakeholders," Natural Resources Management Working Papers 9555, Fondazione Eni Enrico Mattei (FEEM).
    17. Corey T. White & Helena Mitasova & Todd K. BenDor & Kevin Foy & Okan Pala & Jelena Vukomanovic & Ross K. Meentemeyer, 2021. "Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management," Land, MDPI, vol. 10(11), pages 1-29, October.
    18. Alexandra S Penn & Christopher J K Knight & David J B Lloyd & Daniele Avitabile & Kasper Kok & Frank Schiller & Amy Woodward & Angela Druckman & Lauren Basson, 2013. "Participatory Development and Analysis of a Fuzzy Cognitive Map of the Establishment of a Bio-Based Economy in the Humber Region," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-14, November.
    19. Frank van Kouwen & Card Dieperink & Paul P Schot & Martin J Wassen, 2009. "Computer-Supported Cognitive Mapping for Participatory Problem Structuring," Environment and Planning A, , vol. 41(1), pages 63-81, January.
    20. Ditzler, Lenora & Klerkx, Laurens & Chan-Dentoni, Jacqueline & Posthumus, Helena & Krupnik, Timothy J. & Ridaura, Santiago López & Andersson, Jens A. & Baudron, Frédéric & Groot, Jeroen C.J., 2018. "Affordances of agricultural systems analysis tools: A review and framework to enhance tool design and implementation," Agricultural Systems, Elsevier, vol. 164(C), pages 20-30.

    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:caa:jnlage:v:66:y:2020:i:3:id:255-2019-agricecon. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.