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Economic Assessment and Strategic Potential of Agro Industries: The Case of Sugar Industry

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  • I.Fazrakhmanov
  • M. Lukyanova
  • V. Kovshov
  • A. Farrakhetdinova
  • J. Putyatinskaya

Abstract

Current economic activity in the beet sugar industry is below its highest point, and this encourages to search for and to shape specific development strategies. This article analyses the current state of Russian sugar markets, domestically and internationally. The investigation over the strategic potential of effective beet sugar sub-complex development has involved 78 large agricultural enterprises and 59 peasant farms of the Republic of Bashkortostan. By total production output, sugar beet producers are classified into several groups. The first group, which is the highest, includes 10 backbone strategic enterprises, which can produce 897.9 thousand tons of sugar beet. The second group includes 19 enterprises and produces 442.5 thousand tons of sugar beet. The third group, not a priority group, includes 43 enterprises (333.3 thousand tons). A similar classificationt was done for peasant farms.From the assessment encompassing the strategic potential of sugar beet industry certain scenarios have been considered such as: business-as-usual (72.2%), extensive growth (83.3%), intensive growth (100.0%) and hybrid growth (122.2%). These scenarios were composed to forecast the production target achievements. Forecasts were made using a model of strategic development of beet sugar sub-complex of the Republic of Bashkortostan, for the period until 2020. The approach developed in this article is recommended to be used as a guideline in developing long-term regional programs for agriculture development. It can be also addressed to adjust some measures that are being taken under the launched programs.

Suggested Citation

  • I.Fazrakhmanov & M. Lukyanova & V. Kovshov & A. Farrakhetdinova & J. Putyatinskaya, 2018. "Economic Assessment and Strategic Potential of Agro Industries: The Case of Sugar Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 239-254.
    • Handle: RePEc:ers:journl:v:xxi:y:2018:i:4:p:239-254
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    1. Pachón, Elia Ruiz & Vaskan, Pavel & Raman, Jegannathan Kenthorai & Gnansounou, Edgard, 2018. "Transition of a South African sugar mill towards a biorefinery. A feasibility assessment," Applied Energy, Elsevier, vol. 229(C), pages 1-17.
    2. Asgharipour, Mohammad Reza & Mondani, Farzad & Riahinia, Shahram, 2012. "Energy use efficiency and economic analysis of sugar beet production system in Iran: A case study in Khorasan Razavi province," Energy, Elsevier, vol. 44(1), pages 1078-1084.
    3. Dr. Srinita & SE & MSc1., 2017. "Economic and Consumption Distribution and Business Strategy Toward Improvement of Agricultural Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(4A), pages 175-193.
    4. Esengun, Kemal & Erdal, Gülistan & Gündüz, Orhan & Erdal, Hilmi, 2007. "An economic analysis and energy use in stake-tomato production in Tokat province of Turkey," Renewable Energy, Elsevier, vol. 32(11), pages 1873-1881.
    5. Erdal, Gülistan & Esengün, Kemal & Erdal, Hilmi & Gündüz, Orhan, 2007. "Energy use and economical analysis of sugar beet production in Tokat province of Turkey," Energy, Elsevier, vol. 32(1), pages 35-41.
    6. Jonathan Pincus, 2018. "Grattan Institute's Case for Sugar Tax Is Not Proven," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 51(1), pages 41-51, March.
    7. Pan He & Giovanni Baiocchi & Klaus Hubacek & Kuishuang Feng & Yang Yu, 2018. "The environmental impacts of rapidly changing diets and their nutritional quality in China," Nature Sustainability, Nature, vol. 1(3), pages 122-127, March.
    8. Diana Dmitrievna Burkaltseva & Olga Sergeevna Sivash & Oleg Valerievich Boychenko & Lyubov Vasilievna Savchenko & Tatyana Nikolaevna Bugaeva & Snezhana Anatolyevna Zotova, 2017. "Realization of Investment Processes in the Agricultural Sector of the Digital Economy," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 366-379.
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    More about this item

    Keywords

    Beet sugar sub-complex; food security; trade; sugar market; price index; potential.;
    All these keywords.

    JEL classification:

    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • F52 - International Economics - - International Relations, National Security, and International Political Economy - - - National Security; Economic Nationalism

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