Internet Purchases in European Union Countries: Multiple Linear Regression Approach
This paper examines economic and Information and Communication Technology (ICT) development influence on recently increasing Internet purchases by individuals for European Union member states. After a growing trend for Internet purchases in EU27 was noticed, all possible regression analysis was applied using nine independent variables in 2011. Finally, two linear regression models were studied in detail. Conducted simple linear regression analysis confirmed the research hypothesis that the Internet purchases in analyzed EU countries is positively correlated with statistically significant variable Gross Domestic Product per capita (GDPpc). Also, analyzed multiple linear regression model with four regressors, showing ICT development level, indicates that ICT development is crucial for explaining the Internet purchases by individuals, confirming the research hypothesis.
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[1] R. L. Brown, J. Durbin, J. M. Evans, "Techniques for testing the constancy of regression relations over time (with discussion)”, Journal of royal statistical society, b, Vol. 37, 1975,pp. 149-192.
[2] S. Liu, „An Empirical Study on E-commerce’s effects on Economic Growth", International Conference on Education Technology and Management Science ICETMS, 2013. http://www.atlantis-press.com/php/download_paper.php?id=7255
[3] OECD (1999), "Economic and Social Impact of Ecommerce: Preliminary Findings and Research Agenda”, OECD Digital Economy Papers, No.40, OECD Publishing., available at http://dx.doi.org/ 10.1787/236588526334Internet.
[4] A report for the Office of Fair Trading by Europe Economics, Economic literature review: Internet shopping Annexe, Office of Fair Trading, June 2007.
[5] Consumer market study on the functioning of e-commerce and internet marketing and selling techniques in the retail of goods, Final Report, Part 1: Synthesis Report, Executive Agency for Health and Consumers, September 2011.
[6] Global Trends in Online Shopping, A Nielsen Global Consumer Report, June 2010.
[7] McKinsey iConsumer 2012, Insight No. 1: Digital Marketing, 2012.
[8] V. Šimičević, B. Jaković, J. Ježovita, "Perceived Barriers to E-commerce: Empirical evidence from EU countries”, Interdisciplinary Description of Complex Systems 11(1), 2013, pp. 123-130.
[9] A. Wirthmann,"Micro data analysis of internet use in Europe”, available at:http://www.czso.cz/csu/redakce.nsf/i/albrecht_wirthmann_eurostat_dokument/$File/wirthmann_paper.pdf.
[10] J. M. Wooldridge, "Introductory Econometrics: A Modern Approach”, 5th Edt. South-Western College Publishing, 2013.
[11] ICT usage in households and by individuals. Reference Metadata in Euro SDMX Metadata Structure (ESMS) Compiling agency: Eurostat, The statistical office of the European Union. http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/isoc_bde15c_esms.htm#comparability (Accessed 29 October 2013).
[12] Croatian Post and Electronic Communications Agency http://www.hakom.hr/ (Accessed 1 September 2013).
[13] Eurostathttp://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&plugin=1&language=en&pcode=tec00114(Accessed 1 September 2013).
[14] Eurostathttp://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&language=en&pcode=tin00134&plugin=1 (Accessed 1 September 2013).
[15] Eurostathttp://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&language=en&pcode=tsdsc510&plugin=1 (Accessed 1 September 2013).
[16] Eurostathttp://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&language=en&pcode=tsdsc460&plugin=1 (Accessed 1 September 2013).
[17] Eurostathttp://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&plugin=1&language=en&pcode=tsdsc470 (Accessed 1 September 2013).
[18] Eurostathttp://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&plugin=0&language=en&pcode=tin00095 (Accessed 1 September 2013).
[19] Eurostathttp://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&language=en&pcode=tin00067&plugin=1 (Accessed 1 September 2013).
[20] Eurostathttp://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&plugin=1&language=en&pcode=tin00067 (Accessed 1 September 2013).
[21] Eurostathttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=isoc_cisci_ax&lang=en (Accessed 1 September 2013).
[22] Internet Retailer portal to e-commerce intelligence, http://www.internetretailer.com/2012/06/07/43-europeans-shop-online, June 2012 (Accessed Oct 16, 2013).
@article{"International Journal of Business, Human and Social Sciences:63730", author = "Ksenija Dumičić and Anita Čeh Časni and Irena Palić", title = "Internet Purchases in European Union Countries: Multiple Linear Regression Approach", abstract = "This paper examines economic and Information and Communication Technology (ICT) development influence on recently increasing Internet purchases by individuals for European Union member states. After a growing trend for Internet purchases in EU27 was noticed, all possible regression analysis was applied using nine independent variables in 2011. Finally, two linear regression models were studied in detail. Conducted simple linear regression analysis confirmed the research hypothesis that the Internet purchases in analyzed EU countries is positively correlated with statistically significant variable Gross Domestic Product per capita (GDPpc). Also, analyzed multiple linear regression model with four regressors, showing ICT development level, indicates that ICT development is crucial for explaining the Internet purchases by individuals, confirming the research hypothesis.
", keywords = "European Union, Internet purchases, multiple linear regression model, outlier", volume = "8", number = "3", pages = "666-7", }
