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Non-Parametric Analysis of Retailer Performance in Selected EU Countries: Assessing The Impact of COVID-19 Cover

Non-Parametric Analysis of Retailer Performance in Selected EU Countries: Assessing The Impact of COVID-19

Open Access
|Jul 2025

References

  1. Abdi, H., (2007), Correspondence analysis. In Salkind, N. J. (Ed.), Encyclopedia of Measurement and Statistics Vol. 1 (pp. 189-194). Thousand Oaks, CA: Sage Publications
  2. Adamowicz, M., (2022), COVID-19 Pandemic as a change factor in the labour market in Poland, Sustainability, 14(15), 9197. https://doi.org/10.3390/su14159197.
  3. Ahmad, W., Kutan, A.M., Chahal, R.J.K., Kattumuri, R., (2021), COVID-19 Pandemic and firm-level dynamics in the USA, UK, Europe, and Japan, International Review of Financial Analysis, 78, 101888. https://doi.org/10.1016/j.irfa.2021.101888.
  4. Antonescu, D., (2020), Supporting small and medium size enterprises through the COVID-19 crisis in Romania, Central European Journal of Geography and Sustainable Development, 2(1), 38-57. https://doi.org/10.47246/CEJGSD.2020.2.1.4.
  5. Askenazy, P., Brébion, C., Courtioux, P., Erhel, C., Mofakhami, M., (2024), Employment strategies in response to the first Covid lockdown: A typology of French workplaces, Industrial Relations: A Journal of Economy and Society, 1-32. https://doi.org/10.1111/irel.12362.
  6. Barcaccia, G., D’Agostino, V., Zotti, A., Cozzi, B., (2020), Impact of the SARS-CoV-2 on the Italian agri-food sector: An analysis of the quarter of pandemic lockdown and clues for a socio-economic and territorial restart, Sustainability, 12(14), 5651. https://doi.org/10.3390/su12145651.
  7. Beckers, J., Weekx, S., Beutels, P., Verhetsel, A., (2021), COVID-19 and retail: The catalyst for e-commerce in Belgium?, Journal of Retailing and Consumer Services, 62, 102645. https://doi.org/10.1016/j.jretconser.2021.102645.
  8. Bobitan, N., Dumitrescu, D., Burca, V., (2023), Agriculture’s efficiency in the context of sustainable agriculture - A benchmarking analysis of financial performance with data envelopment analysis and Malmquist Index, Sustainability, 15, 12169, 1-27. https://doi.org/10.3390/su151612169.
  9. Bochtis, D., Benos, L., Lampridi, M., Marinoudi, V., Pearson, S., Sørensen, C. G., (2020), Agricultural workforce crisis in light of the COVID-19 pandemic, Sustainability, 12(19), 8212. https://doi.org/10.3390/su12198212.
  10. Bressan, A., Duarte Alonso, A., Kok, S. K., (2021), Confronting the unprecedented: Micro and small businesses in the age of COVID-19, International Journal of Entrepreneurial Behavior & Research, 27(3), 799-820. https://doi.org/10.1108/IJEBR-09-2020-0602.
  11. Brussevich, M., Papageorgiou, M. C., Wibaux, P., (2022), Trade and the COVID-19 pandemic: Lessons from French firms. Working paper, No. 2022-2081, Washington DC: International Monetary Fund.
  12. Bureau van Dijk, (2024). https://orbis.bvdinfo.com/ Accessed [24 March 2024]
  13. Çera, G., (2022), Europe’s economic pandemic shock: How EU economies endured the effects of COVID-19 restrictions, European Chronicle, 7(4), 35-43.
  14. Chen, S., Su, W., Chen, J., Li, K.W., (2021), The effects of Covid-19 on manufacturer operations: Evidence from China, Transformations in Business & Economics, 20(2), 41-61.
  15. Chiari, A., (2022), Revenue losses from corporate tax avoidance: Estimations from the UNUWIDER government revenue dataset, Review of Development Economics, 28(2), 600-629. https://doi.org/10.1111/rode.13072.
  16. Chislett, W., (2021), Challenges and opportunities for Spain in times of COVID-19. Working paper, Madrid, Spain: Real Instituto Elcano.
  17. Clausen, S., (1998), Applied correspondence analysis. Thousand Oaks: Sage Publications. https://doi.org/10.4135/9781412983426.
  18. Coli, A., Espuelas, Á. P., Tsigkas, O., (2022), Economic support to European households in the aftermath of COVID-19. A cross-country comparative analysis based on quarterly sector accounts, Statistical Journal of the IAOS, 38(4), 1117-1127. http://dx.doi.org/10.3233/SJI-220004.
  19. Conover, W. J., (1999), Practical nonparametric statistics. New York: John Wiley & Sons.
  20. Coppola, A., Scardera, A., Amato, M., Verneau, F., (2020), Income Levels and Farm Economic Viability in Italian Farms: An Analysis of FADN Data, Sustainability, 12(12), 4898.
  21. Cortignani, R., Carulli, G., Dono, G., (2020), COVID-19 and labour in agriculture: Economic and productive impacts in an agricultural area of the Mediterranean, Italian Journal of Agronomy, 15(2), 172-181. https://doi.org/10.4081/ija.2020.1653.
  22. Dall’Olio, A., Goodwin, T., Licetti, M. M., Orlowski, J., Peña, F. P., Ratsimbazafy, F., Sanchez-Navarro, D., (2022), Using ORBIS to Build a Global Database of Firms with State Participation. Policy Research working paper, No. WPS 10261. Washington, D.C., World Bank Group. Retrieved from: http://documents.worldbank.org/curated/en/099800112132221252/IDU03d9586040b28504839081120922e33694f65 Accessed [04 April 2024].
  23. Danilowska, A., Jedruchniewicz, A., (2023), Impact of the Covid-19 pandemic on the volume and structure of agriculture production in Poland. Paper presented at the 2023 International Conference on “Economic Science for Rural Development No. 57”, Jelgava: LBTU ESAF, 133-140. https://doi.org/10.22616/ESRD.2023.57.013.
  24. Dascalu, S., (2020), The successes and failures of the initial COVID-19 pandemic response in Romania, Frontiers in public health, 8(344). https://doi.org/10.3389/fpubh.2020.00344.
  25. Di Vita, G., Spina, D., De Cianni, R., Carbone, R., D’Amico, M., Zanchini, R., (2023), Enhancing the extended value chain of the aromatic plant sector in Italy: A multiple correspondence analysis based on stakeholders’ opinions, Agricultural and Food Economics, 11(1), 15. https://doi.org/10.1186/s40100-023-00257-8.
  26. Dudek, M., Śpiewak, R., (2022), Effects of the COVID-19 pandemic on sustainable food systems: Lessons learned for public policies? The case of Poland, Agriculture, 12(1), 61. https://doi.org/10.3390/agriculture12010061.
  27. Enjolras, G., Capitanio, F., Aubert, M., Adinolfi, F., (2014), Direct payments, crop insurance and the volatility of farm income. Some evidence in France and in Italy, New Medit (1), 31-40.
  28. European Commission, (2020), User guide to SME definition. Retrieved from https://ec.europa.eu/docsroom/documents/42921/attachments/1/translations/en/renditions/native#:~:text=’The%20category%20of%20micro%2C%20small,not%20exceeding%20EUR%2043%20million. Accessed on 01 April 2024.
  29. Eurostat, (2020), Agriculture, forestry and fishery statistics, 2020 Edition, Statistical Books. Retrieved from: https://ec.europa.eu/eurostat/en/web/products-statistical-books/-/ksfk-20-001, Accessed on 26 March 2024.
  30. Farole, T., Hallak, I., Harasztosi, P., Tan, S. W., (2017), Business environment and firm performance in European lagging regions. World Bank Policy Research Working Paper, No. 8281. Washington DC: World Bank. Retrieved from: https://openknowledge.worldbank.org/entities/publication/124729f7-d978-5f26-a34eafbc2ff8da9f.
  31. Fernández-Cerezo, A., Gonzalez, B., Peinado, M.I., Moral-Benito, E., (2023), Firm-level Heterogeneity in the Impact of the COVID-19 Pandemic, Applied Economics, 55(42), 4946-4974. https://doi.org/10.1080/00036846.2022.2133894.
  32. Field, A., (2013), Discovering statistics using IBM SPSS statistics. London: Sage.
  33. Forrest, J. Y. L., Tiglioglu, T., Liu, Y., Mong, D., Cardin, M., (2023), Various convexities and some relevant properties of consumer preference relations, Studia Universitatis Vasile Goldiș Arad, Seria Științe Economice, 33(4), 145-168. http://dx.doi.org/10.2478/sues-2023-0021.
  34. Gerald, B., (2018), A brief review of independent, dependent and one sample t-test, International Journal of Applied Mathematics and Theoretical Physics, 4(2), 50. https://doi.org/10.11648/j.ijamtp.20180402.13.
  35. Goel, V., (2024), An empirical assessment of microfinance and its associated socioeconomic development, Studia Universitatis Vasile Goldiş, Arad-Seria Ştiinţe Economice, 34(2), 110-139. http://dx.doi.org/10.2478/sues-2024-0010.
  36. Gómez‐Limón, J.A., Sánchez‐Cañizares, S., Hidalgo‐Fernández, A., Castillo‐Canalejo, A.M., (2023), Profit and Viability Persistence: Evidence from the Spanish Agricultural Sector, Agribusiness, 39(4), 1300-1332.
  37. Greenacre, M., (2007), Correspondence analysis in practice. Boca Raton, FL: Chapman & Hall/CRC.
  38. Hair, J. F., Black, W.C., Babin, B. J., Anderson, R. E., Tatham, R. L., (2006), Multivariate data analysis, 6th Edition. New Jersey: Pearson Prentice Hall.
  39. Heryán, T., Růčková, P., Cerulli, G., (2024), Financial performance among Top10 automotive leaders in the EU: Essential techniques to investigate the structure of moments while using the GMM with dynamic panel data, Studia Universitatis „Vasile Goldis” Arad– Economics Series, 34(3), 26-59. http://dx.doi.org/10.2478/sues-2024-0012.
  40. Hjellbrekke, J., (2018), Multiple correspondence analysis for the social sciences. New York: Routledge. Retrieved from: https://data.worldbank.org/indicator/NV.AGR.TOTL.ZS Accessed on 26 March 2024.
  41. Janzen, B., Radulescu, D., (2022), Effects of COVID-19 related government response stringency and support policies: Evidence from European firms, Economic Analysis and Policy, 76, 129-145. https://doi.org/10.1016/j.eap.2022.07.013.
  42. Jolliffe, I.T., Cadima, J., (2016), Principal component analysis: A review and recent developments, Philosophical transactions of the royal society A: Mathematical, Physical and Engineering Sciences, 374(2065), 20150202. https://doi.org/10.1098/rsta.2015.0202.
  43. Kaiser, J., (2014), Dealing with missing values in data, Journal of Systems Integration, 5(1), 42–51.
  44. Kim, T. K., (2015), T test as a parametric statistic, Korean journal of anesthesiology, 68(6), 540-546. https://doi.org/10.4097/kjae.2015.68.6.540.
  45. King, A. P., Eckersley, R., (2019), Statistics for biomedical engineers and scientists: How to visualize and analyze data. Cambridge: Academic Press. https://doi.org/10.1016/C2018-0-02241-0.
  46. Laroche, P., Wechtler, H., (2011), The effects of labor unions on workplace performance: New evidence from France, Journal of Labor Research, 32, 157-180. https://doi.org/10.1007/s12122-011-9106-9.
  47. Le Roux, B., Rouanet, H., (2010), Multiple correspondence analysis (Vol. 163). Thousand Oaks, CA: Sage Publications.
  48. Lombardo, R., Beh, E. J., Kroonenberg, P. M., (2021), Symmetrical and non-symmetrical variants of three-way correspondence analysis for ordered variables, Statistical Science, 36(4), 542-561. https://doi.org/10.1214/20-STS814.
  49. Lovarelli, D., Conti, C., Finzi, A., Bacenetti, J., Guarino, M., (2020), Describing the trend of ammonia, particulate matter and nitrogen oxides: The role of livestock activities in northern Italy during Covid-19 quarantine, Environmental research, 191, 110048. https://doi.org/10.1016/j.envres.2020.110048.
  50. Lythgoe, M. P., Krell, J., Bower, M., Murphy, R., Marriott, J., Blagden, S. P., Sullivan, R., (2023), From the European medicines agency to project Orbis: New activities and challenges to facilitate UK oncology drug approval following Brexit, The Lancet Oncology, 24(4), e150-e160. https://doi.org/10.1016/S1470-2045(22)00701-X.
  51. Menguy, S., (2022), Fiscal stimulus in the European Union to stabilize the COVID shock, Journal of Economic Integration, 37(4), 559-588. DOI: https://doi.org/10.11130/jei.2022.37.4.559.
  52. Mitaritonna, C., Ragot, L., (2020), After Covid-19, will seasonal migrant agricultural workers in Europe be replaced by robots. CEPII Policy Brief, 33, pp. 1-10. Available at: http://www.cepii.fr/PDF_PUB/pb/2020/pb2020-33.pdf Accessed [12 April 2024].
  53. Nguyen, H. T. X., (2022), The effect of COVID-19 pandemic on financial performance of firms: empirical evidence from Vietnamese logistics enterprises, The Journal of Asian Finance, Economics and Business, 9(2), 177-183. https://doi.org/10.13106/jafeb.2022.vol9.no2.0177.
  54. Nicolaï, M., Grange, C., (2021), The digital transformation of retail during the COVID-19 pandemic: A comparative study in Canada, China, and France. In E. Mazaheri (Ed.), The Impact of COVID19 on E-Commerce (pp. 1-18). London: Proud Pen. https://doi.org/10.51432/978-1-8381524-8-2_1.
  55. Orlando, B., Tortora, D., Pezzi, A., Bitbol-Saba, N., (2022), The disruption of the international supply chain: Firm resilience and knowledge preparedness to tackle the COVID-19 outbreak, Journal of International Management, 28(1), 100876. https://doi.org/10.1016/j.intman.2021.100876.
  56. Pallant, J., (2020), SPSS survival manual: A step by step guide to data analysis using IBM SPSS. New York: Routledge.
  57. Pan, K., Yue, X. G., (2022), Multidimensional effect of COVID-19 on the economy: Evidence from survey data, Economic Research-Ekonomska Istraživanja, 35(1), 1658-1685. http://dx.doi.org/10.1080/1331677X.2021.1903333.
  58. Perrin, A., Martin, G., (2021), Resilience of French organic dairy cattle farms and supply chains to the Covid-19 pandemic, Agricultural Systems, 190, 103082. https://doi.org/10.1016/j.agsy.2021.103082.
  59. Plzáková, L., Smeral, E., (2022), Impact of the COVID-19 crisis on European tourism, Tourism Economics, 28(1), 91-109 https://doi.org/10.1177/13548166211031113.
  60. Popescu, G. C., Popescu, M., (2022), COVID-19 pandemic and agriculture in Romania: Effects on agricultural systems, compliance with restrictions and relations with authorities, Food security, 14(2), 557-567. https://doi.org/10.1007/s12571-021-01239-8.
  61. Poupakis, S., (2020), Are inflows of FDI good for Russian exporters? World Bank Policy Research Working Paper, No. 9201. Washington, DC: World Bank. Retrieved from https://openknowledge.worldbank.org/entities/publication/e56a6355-a6a4-5f91-abba-bb248dd0ca9e Accessed on 09 April 2024.
  62. Sączewska-Piotrowska, A., (2021), Economic factors influencing the health behavior changes during COVID-19 pandemic: Multiple correspondence analysis results, Procedia Computer Science, 192, 2522-2530. https://doi.org/10.1016/j.procs.2021.09.021.
  63. Salas Nicás, S., Llorens Serrano, C., Navarro Giné, A., Moncada i Lluís, S., (2020), Condiciones de trabajo, inseguridad y salud en el contexto del COVID-19: Estudio de la población asalariada de la encuesta COTS [Working conditions, insecurity and health in the context of COVID-19: Study of the salaried population of the COTS survey]. Retrieved from https://ddd.uab.cat/pub/infpro/2020/227641/InformeCOTS_DEF2.pdf Accessed on 08 April 2024.
  64. Sharma, A. K., Rai, S. K., (2024), COVID-19 and sectoral employment in India: Impact and implications, The Indian Journal of Labour Economics, 1-20. http://dx.doi.org/10.1007/s41027-024-00486-5.
  65. Sin, A., Nowac, C., (2014), Comparative analysis of EAFRD’s measure 121 (“Modernization of agricultural holdings”) implementation in Romania and Poland, Procedia Economics and Finance (8), 678-682.
  66. Sobanski, K., (2021), Economic policy response to the COVID-19 crisis: The case of Poland. In Bilgin, M.H., Danis, H., Demir, E. (Eds), Eurasian Business and Economics Perspectives: Proceedings of the 31st Eurasia Business and Economics Society Conference (pp. 107-118). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-71869-5_7.
  67. Stoicea, P. Toma, E., David, L., Constantin, A-R., Budileanu, A., (2023), Performance of large agricultural companies in Romanian agriculture, Scientific Papers Series Management, Economic Engineering in Agriculture and Rural Development, 23(1), 773-782.
  68. Sydow, J., Helfen, M., Auschra, C., (2021), Rethinking global production networks in the face of crises: A comment from Germany in light of COVID-19, Management and Organization Review, 17(2), 401-406. https://doi.org/10.1017/mor.2021.13.
  69. The World Bank Group Food and Agriculture Organization, (2022b), Electronic files and web site: Cereal production (metric tons) - European Union. Retrieved from https://data.worldbank.org/indicator/AG.PRD.CREL.MT Accessed on 06 April 2024.
  70. The World Bank Group, Food and Agriculture Organization, (2021), Electronic files and web site: Agricultural land (sq. km). Retrieved from https://data.worldbank.org/indicator/AG.LND.AGRI.K2 Accessed on 27 March 2024.
  71. The World Bank Group, Food and Agriculture Organization, (2022a), Electronic files and web site: Agriculture, forestry, and fishing, value added (% of GDP) - European Union.
  72. Varian, H. R., (1992), Microeconomic analysis, Vol. 3. New York: W. W. Norton & Company.
  73. Winters, J., (2023), Over one million temporary workers lost their jobs at the beginning of the pandemic, as companies preferred not to include them in short-time work schemes. IAB-FORUM [online]. Retrieved from https://www.iab-forum.de/en/over-one-million-temporary-workers-lost-their-jobs-at-the-beginning-of-the-pandemic-as-companies-preferred-not-to-include-them-in-short-time-work-schemes/ Accessed on 04 April 2024.
  74. Zimon, G., Babenko, V., Sadowska, B., Chudy-Laskowska, K., Gosik, B., (2021). Inventory management in SMEs operating in polish group purchasing organizations during the COVID-19 pandemic, Risks, 9(4), 63. https://doi.org/10.3390/risks9040063.
DOI: https://doi.org/10.2478/sues-2025-0012 | Journal eISSN: 2285-3065 | Journal ISSN: 1584-2339
Language: English
Page range: 39 - 68
Submitted on: Jun 1, 2024
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Accepted on: Oct 1, 2024
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Published on: Jul 11, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Ibrahim Niftiyev, Delia David, Daniela Pordea, published by Vasile Goldis Western University of Arad
This work is licensed under the Creative Commons Attribution 4.0 License.