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Digital Determinants of SME Efficiency: Evidence from the European Union

Author

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  • Viktorija Skvarciany

    (Vilnius Gediminas Technical University, Vilnius, Lithuania)

Abstract

The current paper aims to calculate the efficiency of EU SMEs and investigate which digital determinants may impact the efficiency scores. The research was conducted in two stages. First, the output-oriented VRS model was employed to compute the technical efficiency of SMEs in the EU at the country level. Then, in the second stage, the efficiency scores were regressed against a set of digital determinants that may affect the efficiency. For that issue, Simar-Wilson bootstrap regression was used. The research covered the years from 2021 to 2023, and only one country was efficient during the entire period the Netherlands. Moreover, the results showed that online sales have a positive influence on SMEs inefficiency, while e-commerce turnover turned out to be insignificant. Moreover, the regression revealed that a higher level of economic development is associated with lower inefficiency. These findings provide valuable insights for policymakers seeking to design more targeted strategies for SMEs in their respective countries.

Suggested Citation

  • Viktorija Skvarciany, 2026. "Digital Determinants of SME Efficiency: Evidence from the European Union," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 28(72), pages 808-808, April.
  • Handle: RePEc:aes:amfeco:v:28:y:2026:i:72:p:808
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    References listed on IDEAS

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    1. José O. Maldifassi & Agustín De la Cuesta W., 2016. "A two-stage process for explaining the relative efficiency of small and medium-size firms in Chile," International Journal of Entrepreneurship and Innovation Management, Inderscience Enterprises Ltd, vol. 20(1/2), pages 99-116.
    2. Laura Trueba‐Castañeda & Francisco M. Somohano‐Rodríguez & Begoña Torre‐Olmo, 2024. "Does digitalisation enable small and medium‐sized enterprises to become more sustainable?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4893-4909, September.
    3. Askoldas Podviezko & Ralph Kurschus & Giedre Lapinskiene, 2019. "Eliciting Weights of Significance of Criteria for a Monitoring Model of Performance of SMEs for Successful Insolvency Administrator’s Intervention," Sustainability, MDPI, vol. 11(20), pages 1-16, October.
    4. Nguyen, Ngoc Thang & Vu, Van Huong, 2023. "How does adopting occupational health and safety management practices affect outcomes for employees? The case of Vietnamese SMEs," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 629-640.
    5. Nguyen Dac Dung & Tran Quang Huy, 2025. "How do factors affect labour productivity and satisfaction in small and medium-sized enterprises in Thai Nguyen, Vietnam?," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 44(4), pages 419-439.
    6. V V Podinovski, 2004. "Bridging the gap between the constant and variable returns-to-scale models: selective proportionality in data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(3), pages 265-276, March.
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    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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