IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxiy2018i4p239-254.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.ersj.eu/dmdocuments/2018_XXI_4_19.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    5. 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.
    6. 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.
    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.
    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. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:239-254 is not listed on IDEAS
    2. Singh, Pritpal & Sandhu, Amarjeet Singh, 2023. "Energy budgeting and economics of potato (Solanum tuberosum L.) cultivation under different sowing methods in north-western India," Energy, Elsevier, vol. 269(C).
    3. Elsoragaby, Suha & Yahya, Azmi & Mahadi, Muhammad Razif & Nawi, Nazmi Mat & Mairghany, Modather, 2019. "Energy utilization in major crop cultivation," Energy, Elsevier, vol. 173(C), pages 1285-1303.
    4. Elahi, Ehsan & Weijun, Cui & Jha, Sunil Kumar & Zhang, Huiming, 2019. "Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability," Energy, Elsevier, vol. 183(C), pages 191-204.
    5. Kung, Chih-Chun & McCarl, Bruce A. & Cao, Xiaoyong, 2013. "Economics of pyrolysis-based energy production and biochar utilization: A case study in Taiwan," Energy Policy, Elsevier, vol. 60(C), pages 317-323.
    6. Ali Mostafaeipour & Mohammad Bagher Fakhrzad & Sajad Gharaat & Mehdi Jahangiri & Joshuva Arockia Dhanraj & Shahab S. Band & Alibek Issakhov & Amir Mosavi, 2020. "Machine Learning for Prediction of Energy in Wheat Production," Agriculture, MDPI, vol. 10(11), pages 1-19, October.
    7. Kaur, Navneet & Vashist, Krishan Kumar & Brar, A.S., 2021. "Energy and productivity analysis of maize based crop sequences compared to rice-wheat system under different moisture regimes," Energy, Elsevier, vol. 216(C).
    8. Plappally, A.K. & Lienhard V, J.H., 2012. "Energy requirements for water production, treatment, end use, reclamation, and disposal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4818-4848.
    9. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Mousavi Avval, Seyed Hashem & Rafiee, Hamed, 2011. "Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach," Renewable Energy, Elsevier, vol. 36(9), pages 2573-2579.
    10. Karakaya, Ahmet & Özilgen, Mustafa, 2011. "Energy utilization and carbon dioxide emission in the fresh, paste, whole-peeled, diced, and juiced tomato production processes," Energy, Elsevier, vol. 36(8), pages 5101-5110.
    11. Pishgar-Komleh, Seyyed Hassan & Keyhani, Alireza & Mostofi-Sarkari, Mohammad Reza & Jafari, Ali, 2012. "Energy and economic analysis of different seed corn harvesting systems in Iran," Energy, Elsevier, vol. 43(1), pages 469-476.
    12. Pritpal Singh & Gurdeep Singh & G. P. S. Sodhi, 2022. "Data envelopment analysis based optimization for improving net ecosystem carbon and energy budget in cotton (Gossypium hirsutum L.) cultivation: methods and a case study of north-western India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2079-2119, February.
    13. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Yousefi, Marziye & Movahedi, Mehran, 2013. "Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks," Energy, Elsevier, vol. 52(C), pages 333-338.
    14. nasim monjezi & Mohammad Javad Sheikhdavoodi & morteza taki, 2011. "Energy use pattern and optimization of energy consumption for greenhouse cucumber production in Iran using data envelopment analysis (DEA)," Modern Applied Science, Canadian Center of Science and Education, vol. 5(6), pages 139-139, December.
    15. Alireza Koocheki & Reza Ghorbani & Farzad Mondani & Yaser Alizade, 2011. "Pulses Production Systems in Term of Energy Use Efficiency and Economical Analysis in Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 1(4), pages 95-106.
    16. Pishgar Komleh, S.H. & Keyhani, A. & Rafiee, Sh. & Sefeedpary, P., 2011. "Energy use and economic analysis of corn silage production under three cultivated area levels in Tehran province of Iran," Energy, Elsevier, vol. 36(5), pages 3335-3341.
    17. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S., 2019. "Energy auditing and optimization approach for improving energy efficiency of rice cultivation in south-western Punjab, India," Energy, Elsevier, vol. 174(C), pages 269-279.
    18. Ghorbani, Reza & Mondani, Farzad & Amirmoradi, Shahram & Feizi, Hassan & Khorramdel, Surror & Teimouri, Mozhgan & Sanjani, Sara & Anvarkhah, Sepideh & Aghel, Hassan, 2011. "A case study of energy use and economical analysis of irrigated and dryland wheat production systems," Applied Energy, Elsevier, vol. 88(1), pages 283-288, January.
    19. Kosemani, Babajide S. & Bamgboye, A. Isaac, 2020. "Energy input-output analysis of rice production in Nigeria," Energy, Elsevier, vol. 207(C).
    20. Hossein Kazemi Author- Department of Agronomy, Gorgan University of Agricultural Sciences and Natural Resources (GUASNR), Iran, 2016. "Energy Balance in Modern Agroecosystems; Why and How?," Agricultural Research & Technology: Open Access Journal, Juniper Publishers Inc., vol. 1(5), pages 101-104, June.
    21. Aleksandra Dimitrijević & Marija Gavrilović & Sanjin Ivanović & Zoran Mileusnić & Rajko Miodragović & Saša Todorović, 2020. "Energy Use and Economic Analysis of Fertilizer Use in Wheat and Sugar Beet Production in Serbia," Energies, MDPI, vol. 13(9), pages 1-12, May.

    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

    Statistics

    Access and download statistics

    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:ers:journl:v:xxi:y:2018:i:4:p:239-254. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.