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Panel Technical Efficiency of Korean Companies in the Energy Sector based on Digital Capabilities

Author

Listed:
  • Choi Jong Woo

    (Department of Agricultural Economics and Rural Development, Seoul National University, Seoul 08826, Korea)

  • Park Chankook

    (Department of Future Energy Research, Korea Energy Economics Institute, Ulsan 44543, Korea)

Abstract

Digitalization is a crucial driver of enhanced energy system efficiency, facilitating the energy transition and offering a gateway for technology companies to enter the sector. This study, employing stochastic frontier analysis as the chosen methodology, investigates the efficiency challenges faced by companies venturing into the energy industry with a digital technology focus. Our empirical analysis reveals a positive correlation between higher total assets and increased research and development expenditures, signifying the vital importance of talent acquisition and securing R&D funding. Additionally, it is noteworthy that smaller companies experienced a more pronounced negative impact of COVID-19 on their efficiency. These findings contribute to refining digitalization strategies in the energy industry, emphasizing the role of efficiency from a corporate perspective.

Suggested Citation

  • Choi Jong Woo & Park Chankook, 2024. "Panel Technical Efficiency of Korean Companies in the Energy Sector based on Digital Capabilities," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-17.
    • Handle: RePEc:bpj:econoa:v:18:y:2024:i:1:p:17:n:1022
    DOI: 10.1515/econ-2022-0076
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    as
    1. Rikkonen, Pasi & Tapio, Petri & Rintamäki, Heidi, 2019. "Visions for small-scale renewable energy production on Finnish farms – A Delphi study on the opportunities for new business," Energy Policy, Elsevier, vol. 129(C), pages 939-948.
    2. Jamasb, Tooraj & Nillesen, Paul & Pollitt, Michael, 2004. "Strategic behaviour under regulatory benchmarking," Energy Economics, Elsevier, vol. 26(5), pages 825-843, September.
    3. Heymann, Fabian & Milojevic, Tatjana & Covatariu, Andrei & Verma, Piyush, 2023. "Digitalization in decarbonizing electricity systems – Phenomena, regional aspects, stakeholders, use cases, challenges and policy options," Energy, Elsevier, vol. 262(PB).
    4. Jörg Thomä & Volker Zimmermann, 2020. "Interactive learning — The key to innovation in non-R&D-intensive SMEs? A cluster analysis approach," Journal of Small Business Management, Taylor & Francis Journals, vol. 58(4), pages 747-776, July.
    5. Antonio Estache & MartÌn A. Rossi & Christian A. Ruzzier, 2004. "The Case for International Coordination of Electricity Regulation: Evidence from the Measurement of Efficiency in South America," Journal of Regulatory Economics, Springer, vol. 25(3), pages 271-295, May.
    6. Michel A. Habib & Alexander Ljungqvist, 2005. "Firm Value and Managerial Incentives: A Stochastic Frontier Approach," The Journal of Business, University of Chicago Press, vol. 78(6), pages 2053-2094, November.
    7. Fu, Xiaolan & Yang, Qing Gong, 2009. "Exploring the cross-country gap in patenting: A Stochastic Frontier Approach," Research Policy, Elsevier, vol. 38(7), pages 1203-1213, September.
    8. Nakano, Makiko & Managi, Shunsuke, 2008. "Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry," Energy Policy, Elsevier, vol. 36(1), pages 201-209, January.
    9. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    10. Midttun, Alte & Piccini, Proadpran Boonprasurd, 2017. "Facing the climate and digital challenge: European energy industry from boom to crisis and transformation," Energy Policy, Elsevier, vol. 108(C), pages 330-343.
    11. Anastasovski, Aleksandar, 2023. "What is needed for transformation of industrial parks into potential positive energy industrial parks? A review," Energy Policy, Elsevier, vol. 173(C).
    12. Rafał Trzaska & Adam Sulich & Michał Organa & Jerzy Niemczyk & Bartosz Jasiński, 2021. "Digitalization Business Strategies in Energy Sector: Solving Problems with Uncertainty under Industry 4.0 Conditions," Energies, MDPI, vol. 14(23), pages 1-21, November.
    13. Mehdi Farsi & Massimo Filippini, 2004. "Regulation and Measuring Cost-Efficiency with Panel Data Models: Application to Electricity Distribution Utilities," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 25(1), pages 1-19, August.
    14. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    15. Wang, Eric C., 2007. "R&D efficiency and economic performance: A cross-country analysis using the stochastic frontier approach," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 345-360.
    16. Burger, Scott P. & Luke, Max, 2017. "Business models for distributed energy resources: A review and empirical analysis," Energy Policy, Elsevier, vol. 109(C), pages 230-248.
    17. Md Zobaer Hasan & Anton Abdulbasah Kamil & Adli Mustafa & Md Azizul Baten, 2012. "A Cobb Douglas Stochastic Frontier Model on Measuring Domestic Bank Efficiency in Malaysia," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-5, August.
    18. Inyoung Park & Jieon Lee & Jungwoo Nam & Yuri Jo & Daeho Lee, 2022. "Which networking strategy improves ICT startup companies' technical efficiency?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2434-2443, September.
    19. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    20. Raczka, Jan, 2001. "Explaining the performance of heat plants in Poland," Energy Economics, Elsevier, vol. 23(4), pages 355-370, July.
    21. Du, Juntao & Shen, Zhiyang & Song, Malin & Zhang, Linda, 2023. "Nexus between digital transformation and energy technology innovation: An empirical test of A-share listed enterprises," Energy Economics, Elsevier, vol. 120(C).
    22. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    23. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    24. Chankook Park & Daeyoun Lee, 2021. "Analysis on new types of electric power businesses using a morphological box," Energy & Environment, , vol. 32(1), pages 113-133, February.
    25. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    26. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, June.
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