MODELLING THE RELATIONSHIP BETWEEN RETAIL DEVELOPMENT AND ECONOMIC INDICATORS IN EUROPEAN COUNTRIES

Authors

DOI:

https://doi.org/10.29038/2786-4618-2024-01-124-134

Keywords:

retail trade, economic development, international relations, market analysis, modelling.

Abstract

Abstract. The modern global market requires extraordinary attention to the development of retail trade, which is not only the face of the economy of countries, but also plays a key role in promoting their economic prosperity. In this context, understanding the relationship between retail development indicators and indicators of the state of the economy is necessary given the importance of retail trade as one of the key elements of economic systems and is an important task for scientists and economists. Highlighting the relationship between retail trade and the state of the economy of European countries opens up opportunities for understanding and predicting economic and social trends on the path of Ukraine's accession to the EU, and promotes entrepreneurship. This study aims to model the relationship and establish statistically significant dependencies between the development of retail trade and the economic development of European countries, and to identify indicators that have an impact on the development of the industry. The study established a statistically significant impact of economic growth characteristics on the development of the retail trade industry in European countries in 2005-2022. In particular, it has been determined that the volume of trade turnover depends on such indicators as GDP per capita, consumer inflation and unemployment in the economy. The number of retailers is influenced by the volume of high-tech exports and the Gini index, which measures income inequality in the country. The number of employees in the industry depends on consumer inflation, unemployment and the Gini index. The share of income that is invested in the operating activities of the industry's enterprises depends on the level of consumer inflation, unemployment, the share of research and development expenditures in GDP and GDP per capita. GDP per capita has the strongest positive effect on turnover and consumer inflation on turnover. The unemployment rate has the strongest negative impact on turnover and the number of employees in the industry. The study confirmed the hypothesis about the positive impact of economic development on the retail industry in European countries. An economic system that promotes investment in research and development, aims to reduce unemployment and increase economic efficiency, plays a key role in the development of the retail industry in European countries. Given this, future research should focus on other factors that may influence the development of the retail industry in order to better understand the processes taking place in this area and to develop more accurate and effective strategies to promote its sustainable growth.

References

Soltis-Sholudko, N. (2023). Ukrainian retail market: main development trends. Modern Engineering and Innovative Technologies, 4 (25-04), 74-78. Retrieved from https://doi.org/10.30890/2567?5273.2023?25?04?071

Zharnikova, V. V. (2019). Global trends and current realities of retail development in the digital economy. Effective Economy, 5. Retrieved from http://www.economy.nayka.com.ua/?op=1&z=7075

Deinega, I., Deinega, O., & Tsypiashchuk, K. (2023). Current trends in trade development in Ukraine. Via Economica, 2, 54-59. Retrieved from https://doi.org/10.32782/2786-8559/2023-2-8

Nikolayeva, O. (2023). Cluster analysis of European countries by economic and non-economic factors of influence on health. Grail of Science, 26, 31-41. Retrieved from https://doi.org/10.36074/grail?of?science.14.04.2023.001

Lyubkina, O., Kovtun, N., Knir, M. & Anisimova, L. (2021). Scenario modelling of the development of the advanced financial market. Modern Problems of Business, Management and Economy. Retrieved from https://doi.org/10.3846/cibmee.2021 .612

Mura, L., Marchevska, M. & Dubravska, M. (2018). A model of retail trade in Slovakia between panel regressions. Marketing and Management of Innovations, 4, 203-211. Retrieved from https://doi.org/10.21272/mmi.2018.4-18

Musah, M. (2022). Stock market development and environmental quality in EU member countries: A dynamic heterogeneous approach. Environment, Development and Sustainability, 25, 11153-11187. Retrieved from https://doi.org/10.1007/s10668-022-02521-1

Piton, C., & Rycx, F. (2018). The unemployment impact of product and labour market regulation: Evidence from European countries. IZA Discussion Paper, 11582. Retrieved from https://doi.org/10.2139/ssrn.3205849

Zaman, K., & Shamsuddin, S. (2017). Green logistics and national scale economic indicators: Evidence from a panel of selected European countries. Journal of Cleaner Production, 143, 51-63. Retrieved from https://doi.org/10.1016/j.jclepro.2016.12.150

Born, P., & Bujakowski, D. (2021). Economic transition and insurance market development: Evidence from post-communist European countries. The Geneva Risk and Insurance Review, 47, 201-237. Retrieved from https://doi.org/10.1057/s10713-021-00066-3

Kaufinger, G.G., & Anderson (2014). Macroeconomic factors affecting US retail furniture/home furnishings industry sales. Research in Business and Economics Journal, 4, 1-10. Retrieved from http://www.aabri.com/manuscripts/152203.pdf

Hasan, I., De Renzis, T., & Schmiedel, H. (2012). Retail payments and economic growth. Bank of Finland Research Discussion Papers. Retrieved from https://publications.bof.fi/bitstream/handle/10024/47561/170343.pdf?sequence=1&isAllowed=y .

Cruz Roche, I., Romero, J., & Sellers-Rubio, R. (2019). Retail services efficiency: The impact of country-specific factors. International Journal of Retail & Distribution Management, 47(8), 774-792. Retrieved from https://doi.org/10.1108/ijrdm-12-2018-0275

Kambonde, A., & Rena, R. (2014). Foreign direct investment in the retail sector of Namibia: An analysis. Journal of Economics, 5(1), 27-35. Retrieved from https://doi.org/10.1080/09765239.2014.11884981

Kulish, D. (2023). Modelling the impact of the external environment on the foreign economic activity of EU enterprises. Modelling the development of the economic systems, 2, 96-102. Retrieved from https://doi.org/10.31891/mdes/2023?8?13

Eurostat. (2023). The European Commission. Retrieved from https://ec.europa.eu/eurostat/web/main/data/database.

World development indicators (2023). Data bank | The World Bank. Retrieved from https://databank.worldbank.org/source/world-development-indicators.

Bates, D. (2023). Lmer for SAS PROC MIXED Users. The Comprehensive R Archive Network. Retrieved from https://cran.r-project.org/web/packages/SASmixed/vignettes/Usinglmer.pdf.

Fitting mixed-effects linear models with lme4. (2023). arXiv.org. Retrieved from https://arxiv.org/abs/1406.5823.

Getting Started with Fixed/Random Effects Models with R. (2023). Retrieved from https://rstudio-pubs-static.s3.amazonaws.com/372492_3e05f38dd3f248e89cdedd317d603b9a.html

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Published

2024-04-02

Issue

Section

Entrepreneurship trade and exchange activities

How to Cite

[1]
2024. MODELLING THE RELATIONSHIP BETWEEN RETAIL DEVELOPMENT AND ECONOMIC INDICATORS IN EUROPEAN COUNTRIES. Economic journal of Lesya Ukrainka Volyn National University. 1, 37 (Apr. 2024), 124–134. DOI:https://doi.org/10.29038/2786-4618-2024-01-124-134.