IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i11p4412-d364269.html
   My bibliography  Save this article

E-Learning Financing Models in Russia for Sustainable Development

Author

Listed:
  • Dayong Nie

    (Department of Science & Technology, Yellow River Conservancy Technical Institute, Kaifeng 475004, China)

  • Elena Panfilova

    (Department of Management Organization in Engineering, State University of Management, Moscow 109542, Russia)

  • Vadim Samusenkov

    (Department of Prosthetic Dentistry, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow 119991, Russia)

  • Alexey Mikhaylov

    (Research Center of Monetary Relations, Financial University under the Government of the Russian Federation, Mosco, 125993, Russia)

Abstract

E-learning brings new dimensions to traditional education. This especially affects countries that, due to many factors, have historically been considered the “talent pool” for the world community. In this study, a model for financing e-education has been developed that is applicable to Russian realities. The model was built around the balance between demand (global politics, economics, and principles of sustainable development) and supply (sources of direct financing). As a result, a key challenge of improving the e-learning financing methodology and models, specifically the efficiency of government spending and private investing, demands the use of new approaches and mechanisms. To improve e-learning financing, a clear understanding of the applied purpose of public and private means is required. Responsibilities for the e-learning outcome of institutions that receive financing are linked to their status. An unclear understanding of these issues is more likely associated with the issue of transparency of financing than with inefficiency. The proposed model allows transforming the “standards” of financing both in the field of e-education and Russian education in general and presents a new vision of participants’ interaction in the educational process, taking into account a set of restrictions and market features.

Suggested Citation

  • Dayong Nie & Elena Panfilova & Vadim Samusenkov & Alexey Mikhaylov, 2020. "E-Learning Financing Models in Russia for Sustainable Development," Sustainability, MDPI, vol. 12(11), pages 1-14, May.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:11:p:4412-:d:364269
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/11/4412/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/11/4412/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rainald Borck & Martin Wimbersky, 2014. "Political economics of higher education finance," Oxford Economic Papers, Oxford University Press, vol. 66(1), pages 115-139, January.
    2. repec:ers:journl:v:xx:y:2017:i:2b:p:348-364 is not listed on IDEAS
    3. Liudmila V. Goryainova & Igor S. Krishtal & Olga D. Kuznetsova, 2017. "Financing of Infrastructure in Education: International Experience of Attracting Private Investments and Opportunities for Russia to Form a Knowledge-Driven Economy," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 348-363.
    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. Vladislav Trubnikov & Artur Meynkhard & Kristina Shvandar & Oleg Litvishko & Valery Titov, 2020. "Medication market performance analysis with help of Analytic Hierarchy Processing," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 899-916, September.
    2. Eduard Edelhauser & Lucian Lupu-Dima, 2020. "Is Romania Prepared for eLearning during the COVID-19 Pandemic?," Sustainability, MDPI, vol. 12(13), pages 1-30, July.
    3. Sylvester Ngome Chisika & Chunho Yeom, 2021. "Enhancing Sustainable Development and Regional Integration through Electrification by Solar Power: The Case of Six East African States," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    4. Sergey Evgenievich Barykin & Irina Vasilievna Kapustina & Elena Viktorovna Korchagina & Sergey Mikhailovich Sergeev & Vladimir Konstantinovich Yadykin & Almakul Abdimomynova & Diana Stepanova, 2021. "Digital Logistics Platforms in the BRICS Countries: Comparative Analysis and Development Prospects," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    5. Ralph De Witte & Dirk Janssen & Samir Sayadi Gmada & Carmen García-García, 2023. "Best Practices for Training in Sustainable Greenhouse Horticulture," Sustainability, MDPI, vol. 15(7), pages 1-26, March.
    6. Xenia Tabachkova, 2021. "Consequences of Oil Supply and Demand on the Electricity Market: Coronavirus Effect," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 573-580.
    7. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.
    8. Li-Jen He & Jianxiong Chen, 2021. "Does Mandatory Audit Partner Rotation Influence Auditor Selection Strategies?," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    9. Ivan Udalov, 2021. "The Transition to Renewable Energy Sources as a Threat to Resource Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 460-467.

    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. Lergetporer, P & Woessmann, L, 2022. "Income Contingency and the Electorates Support for Tuition," CAGE Online Working Paper Series 606, Competitive Advantage in the Global Economy (CAGE).
    2. Lergetporer, Philipp & Woessmann, Ludger, 2023. "Earnings information and public preferences for university tuition: Evidence from representative experiments," Journal of Public Economics, Elsevier, vol. 226(C).
    3. Lergetporer, Philipp & Woessmann, Ludger, 2019. "The Political Economy of Higher Education Finance: How Information and Design Affect Public Preferences for Tuition," Rationality and Competition Discussion Paper Series 145, CRC TRR 190 Rationality and Competition.
    4. Philippe De Donder & Francisco Martinez-Mora, 2015. "On the Political Economy of University Admission Standards," Discussion Papers in Economics 15/11, Division of Economics, School of Business, University of Leicester.
    5. Jennifer A. Delaney & Dhammika Dharmapala, 2017. "“Pay It Forward” And Higher Education Subsidies: A Median Voter Model," Contemporary Economic Policy, Western Economic Association International, vol. 35(4), pages 615-629, October.
    6. Juan A. Correa & Yijia Lu & Francisco Parro & Mauricio Villena, 2020. "Why is free education so popular? A political economy explanation," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(4), pages 973-991, August.
    7. De Donder, Philippe & Martinez-Mora, Francisco, 2017. "The political economy of higher education admission standards and participation gap," Journal of Public Economics, Elsevier, vol. 154(C), pages 1-9.
    8. Elena Del Rey & María Racionero, 2012. "Voting On Income‐Contingent Loans For Higher Education," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 38-50, June.
    9. Rainald Borck & Silke Uebelmesser & Martin Wimbersky, 2015. "The Political Economics of Higher-Education Finance for Mobile Individuals," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 71(1), pages 82-105, March.
    10. Maria Racionero & Elena Del Rey, 2012. "Choosing the type of income-contingent loan: risk-sharing versus risk-pooling," CEPR Discussion Papers 671, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    11. P. V. Zhuravlev & I. A. Epishkin & G. N. Chernukhina & M. V. Zavyalov & V. V. Varlamova & O. Yu. Voronkova, 2018. "Development of Human Capital in the System of Economic Categories of Work," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 107-117.
    12. Maria Racionero & Elena Del Rey, 2012. "Choosing the type of income-contingent loan: risk-sharing versus risk-pooling," CEPR Discussion Papers 671, Centre for Economic Policy Research, Research School of Economics, Australian National University.

    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:gam:jsusta:v:12:y:2020:i:11:p:4412-:d:364269. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.