IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2021i1p276-d715822.html
   My bibliography  Save this article

Synergy Analysis of Knowledge Transfer for the Energy Sector within the Framework of Sustainable Development of the European Countries

Author

Listed:
  • Adriana Grigorescu

    (Department of Management, National University of Political Studies and Public Administration, 012104 Bucharest, Romania)

  • Amalia-Elena Ion

    (Department of Management, National University of Political Studies and Public Administration, 012104 Bucharest, Romania)

  • Cristina Lincaru

    (National Scientific Research Institute for Labor and Social Protection, 010643 Bucharest, Romania)

  • Speranta Pirciog

    (National Scientific Research Institute for Labor and Social Protection, 010643 Bucharest, Romania)

Abstract

The target for 2030 of reaching a 32% share of renewable energy in the gross final energy consumption can be achieved by speeding up the transformation pending the implementation of knowledge transfer (KT) policies that foster regional cooperation for the cost-effective development of renewables. The research purpose is the analysis of important factors in the development of the renewable energy sector through knowledge sharing and collaboration across the Member States in a comparable manner. The hypotheses are as follows: Hypothesis 1 (H1) there are synergies between knowledge transfer and economic impact through income and jobs for the renewable energy sector and Hypothesis 2 (H2) the EU countries have different profiles of synergy. The research proposition was established through the employment of a quantitative synergy and trade-offs analysis based on the knowledge transfer indicators and the sustainable development framework. The research method, namely the advanced sustainability analysis (ASA), uses the quantitative assessment tool for the understanding of synergies between two or three dimensions of sustainable development, presuming that the combined effect of the factors is greater than the sum of their individual effects. The current research comprises an evaluation of the renewable energy sector knowledge transfer policy models at the national level for 24 EU countries and four other European states, focusing on the capabilities to create synergies. The results of the study represent a valuable input for the policy makers, allowing for a coherent and sustainable planning and programming of the new electricity market, adopted through the Clean Energy Package, and following a highly dynamic and radically disruptive background, exploiting the ‘successful’ profiles.

Suggested Citation

  • Adriana Grigorescu & Amalia-Elena Ion & Cristina Lincaru & Speranta Pirciog, 2021. "Synergy Analysis of Knowledge Transfer for the Energy Sector within the Framework of Sustainable Development of the European Countries," Energies, MDPI, vol. 15(1), pages 1-55, December.
    • Handle: RePEc:gam:jeners:v:15:y:2021:i:1:p:276-:d:715822
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/1/276/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/1/276/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Argote, Linda & Ingram, Paul, 2000. "Knowledge Transfer: A Basis for Competitive Advantage in Firms," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(1), pages 150-169, May.
    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. Adriana Grigorescu & Victor Raul Lopez Ruiz & Cristina Lincaru & Elena Condrea, 2023. "Specialization Patterns for the Development of Renewable Energy Generation Technologies across Countries," Energies, MDPI, vol. 16(20), pages 1-26, October.
    2. Catalin Popescu & Eglantina Hysa & Mirela Panait & Arjona Çela, 2023. "Past, Present, and Future of Critical Issues in Energy: Poverty, Transition and Security—A Systematic Review," Energies, MDPI, vol. 16(14), pages 1-25, July.

    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. Boeker, Warren & Howard, Michael D. & Basu, Sandip & Sahaym, Arvin, 2021. "Interpersonal relationships, digital technologies, and innovation in entrepreneurial ventures," Journal of Business Research, Elsevier, vol. 125(C), pages 495-507.
    2. Sseruyange, J. & Bulte, E., 2018. "Do Incentives matter for Knowledge Diffusion? Experimental Evidence from Uganda," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275896, International Association of Agricultural Economists.
    3. Shahid Qureshi & Sarfraz Mian, 2021. "Transfer of entrepreneurship education best practices from business schools to engineering and technology institutions: evidence from Pakistan," The Journal of Technology Transfer, Springer, vol. 46(2), pages 366-392, April.
    4. Haradhan Kumar MOHAJAN, 2019. "Knowledge Sharing among Employees in Organizations," Journal of Economic Development, Environment and People, Alliance of Central-Eastern European Universities, vol. 8(1), pages 52-61, March.
    5. Caligiuri, Paula & Bonache, Jaime, 2016. "Evolving and enduring challenges in global mobility," Journal of World Business, Elsevier, vol. 51(1), pages 127-141.
    6. Young-Choon Kim & Taekjin Shin & Sangchan Park, 2021. "Enhancing firm performance through intra-group managerial experience: Evidence from group-affiliated firms in Korea," Asia Pacific Journal of Management, Springer, vol. 38(2), pages 435-465, June.
    7. Wang, Haiying & Moore, Jack Murdoch & Wang, Jun & Small, Michael, 2021. "The distinct roles of initial transmission and retransmission in the persistence of knowledge in complex networks," Applied Mathematics and Computation, Elsevier, vol. 392(C).
    8. Gabriela Citlalli López-Torres & Gonzalo Maldonado Guzmán & Sandra Yesenia Pinzón Castro & Ricardo García Ramírez, 2016. "Collaboration and innovation activities in SMEs," Contaduría y Administración, Accounting and Management, vol. 61(3), pages 568-581, Julio-Sep.
    9. Latukha, M. & Veselova, A. & Selivanovskikh, L. & Artukh, E. & Mitskevich, E., 2016. "Re-thinking the role of talent management in a firm’s performance: Talent management practices and absorptive capacity," Working Papers 6442, Graduate School of Management, St. Petersburg State University.
    10. Wright, Mike & Clarysse, Bart & Lockett, Andy & Knockaert, Mirjam, 2008. "Mid-range universities' linkages with industry: Knowledge types and the role of intermediaries," Research Policy, Elsevier, vol. 37(8), pages 1205-1223, September.
    11. Gabriel Szulanski & Robert J. Jensen, 2004. "Overcoming stickiness: An empirical investigation of the role of the template in the replication of organizational routines," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 25(6-7), pages 347-363.
    12. Willy C. Shih, 2021. "Increasing the Level of Abstraction as a Strategy for Accelerating the Adoption of Complex Technologies," Strategy Science, INFORMS, vol. 6(1), pages 54-61, March.
    13. Pantic-Dragisic, Svjetlana & Söderlund, Jonas, 2020. "Swift transition and knowledge cycling: Key capabilities for successful technical and engineering consulting?," Research Policy, Elsevier, vol. 49(1).
    14. Sze-Sze Wong, 2004. "Distal and Local Group Learning: Performance Trade-offs and Tensions," Organization Science, INFORMS, vol. 15(6), pages 645-656, December.
    15. Jesper EDMAN & Riki TAKEUCHI, 2021. "Do Japanese Expatriates Matter for Foreign Subsidiary Performance? A Role-Based Analysis of Three-Wave Panel Data," Discussion papers 21046, Research Institute of Economy, Trade and Industry (RIETI).
    16. Robert S. Huckman & Gary P. Pisano, 2006. "The Firm Specificity of Individual Performance: Evidence from Cardiac Surgery," Management Science, INFORMS, vol. 52(4), pages 473-488, April.
    17. Williams, Christopher & Durst, Susanne, 2019. "Exploring the transition phase in offshore outsourcing: Decision making amidst knowledge at risk," Journal of Business Research, Elsevier, vol. 103(C), pages 460-471.
    18. Sajjad Jasimuddin & Jun Li & Nicholas Perdikis, 2015. "Linkage between geographic space and knowledge transfer by multinational enterprises: a structural equation approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 769-795, May.
    19. L. Sabbado da Rosa, 2012. "Pôles de compétitivité : quelle place pour les PME dans les projets innovants ?," Post-Print halshs-00850352, HAL.
    20. Lim , Jamus Jerome & Minne, Geoffrey, 2014. "Learning from financial crises," Policy Research Working Paper Series 6838, The World Bank.

    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:jeners:v:15:y:2021:i:1:p:276-:d:715822. 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.