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Complex evaluation of the economic crisis impact on Lithuanian industries

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  • Algirdas Krivka

Abstract

The paper analyses the impact of the economic crisis of 2008 on Lithuanian industries. The research involves 68 industries identified according to the 2nd-digit level classification of economic activities by Statistics Lithuania. Considering industry to be a complex phenomenon, the crisis effect is evaluated complexly on the basis of the system of 10 financial state and performance indicators belonging to four main groups of enterprise financial ratios: profitability, liquidity, solvency and asset turnover. SAW, TOPSIS and VIKOR multi-criteria decision making methods, widely applied in construction, economics and management, are selected as mathematical tools for quantitative assessment of the economic crisis effect on Lithuanian industries. By applying multi-criteria decision making methods relative positions (ranks) of industries are determined for every year of the period of 2006-2011. The ranks and their changes are further analysed distinguishing pre-crisis, crisis, and post-crisis periods, determining the industries most and least affected by the economic crisis; also, the industries characterised by the fastest and the slowest after-crisis recovery.

Suggested Citation

  • Algirdas Krivka, 2014. "Complex evaluation of the economic crisis impact on Lithuanian industries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(2), pages 299-315, April.
    • Handle: RePEc:taf:jbemgt:v:15:y:2014:i:2:p:299-315
    DOI: 10.3846/16111699.2013.867277
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    References listed on IDEAS

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    1. Maria Balatbat & Cho-yi Lin & David Carmichael, 2010. "Comparative performance of publicly listed construction companies: Australian evidence," Construction Management and Economics, Taylor & Francis Journals, vol. 28(9), pages 919-932.
    2. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    3. Deuk-Kyu Bok, 2009. "Changes and Determinants of Suppliers' Customer Scope in the Korean Automobile Industry after the Asian Financial Crisis," Global Economic Review, Taylor & Francis Journals, vol. 38(3), pages 321-332.
    4. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    5. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    6. Mohamed A. Ramady, 2009. "Economics, peace and laughter revisited – or learning from the Asian 21st century," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 1(1), pages 1-11.
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