E-commerce Development in Europe: A Panel Data Analysis 2003–2017

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dc.contributor.authorOrtiz, Alma Lucero
dc.contributor.authorRodríguez, José Carlos
dc.contributor.authorGómez, Mario
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2020-11-25T08:54:54Z
dc.date.available2020-11-25T08:54:54Z
dc.description.abstractThe Internet is a networking infrastructure that allows people’s communication throughout the world, transcending time and space limits. Nowadays, the Internet has changed the way of doing business, leading to a digital economy. Indeed, e-commerce has emerged as commercial transactions conducted over the Internet, which has become a source of economic growth for countries. In this sense, the research question conducting this research is as follows: what are the main variables that have affected the development of e-commerce in European countries from 2003 to 2017? In so doing, panel data econometric methods are used in this research. The tests of cross-section dependence (Pesaran test), unit root (Cross-sectional Im, Pesaran and Shin tests), cointegration (Kao and Fisher-Johansen tests), and heterogeneous causality (Hurlin and Dumitrescu test) are applied. In this regard, the results show that the variables in this research are characterized by a transversal dependence, and that they are integrated of order one. Furthermore, there is evidence that the variables are cointegrated, suggesting that there is a long-term relationship equilibrium between these variables. In addition, there is a bidirectional causality relationship between R&D spending (RD) and mobile phone penetration (MPP). Also, there is a unidirectional relationship from the development of e-commerce (EC) to RD and from per capita disposable income (PI) to RD. Besides, results suggest a positive and significant effect of MPP, RD, and PI on the EC in European developed countries. Therefore, these results show that the CE of the developed countries of Europe could be promoted through the improvement of the MPP, DR and IP.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2020-4-006
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/158175
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonBaltagi, B. H. (1995). Econometric Analysis of Panel Data (1st ed.). New York, NY: John Wiley and Sons.
dc.relation.isbasedonBarney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
dc.relation.isbasedonBarney, J., Ketchen, D., & Wright, M. (2011). The future of resource-based theory: Revitalization or decline? Journal of Management, 37(5), 1299–1315. https://doi.org/10.1177/0149206310391805
dc.relation.isbasedonBarney, J., Wright, M., & Ketchen, D. J. (2001). The resource-based view of the firm: Ten years after 1991. Journal of Management, 27(6), 625–641. https://doi.org/10.1177/014920630102700601
dc.relation.isbasedonBhowmik, D. (2017). India’s retail sales of e-commerce: An econometric analysis. International Journal of Scientific and Research Publications, 7, 13–21.
dc.relation.isbasedonCardona, M., Kretschmer, T., & Strobel, T. (2013). ICT and productivity: conclusions from the empirical literature. Information Economics and Policy, 25(3), 109–125. https://doi.org/10.1016/j.infoecopol.2012.12.002
dc.relation.isbasedonCardona, M., Duch-Brown, N., Francois, J., Martens, B., & Yang, F. (2015). The macro-economic impact of e-commerce in the EU Digital Single Market (Working Paper 2015/09). Joint Research Centre (JRC), European Commission, Institute for Prospective Technological Studies Digital Economy.
dc.relation.isbasedonČiarnienė, R., & Stankevičiūtė, G. (2015). Theoretical framework of e-business competitiveness. Procedia – Social and Behavioral Sciences, 213, 734–739. https://doi.org/10.1016/j.sbspro.2015.11.528
dc.relation.isbasedonDumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014
dc.relation.isbasedonEjiaku, S. A. (2014). Technology adoption: Issues and challenges in information technology adoption in emerging economies. Journal of International Technology and Information Management, 23(2), 59–68.
dc.relation.isbasedonEurostat. (2018). Glossary. Retrieved December 4, 2018, from https://ec.europa.eu/Eurostat/statistics-explained/index.php/Glossary:Information_and_communication_technology_(ICT)
dc.relation.isbasedonEurostat. (2019a). E-commerce statistics. Retrieved April 16, 2019, from https://ec.europa.eu/Eurostat/statistics-explained/index.php/E-commerce_statistics online publications
dc.relation.isbasedonEurostat. (2019b). E-commerce statistics. Retrieved April 16, 2019, from https://ec.europa.eu/Eurostat/tgm/table.do?tab=table&init=1&plugin=1&language=en&pcode=t2020_20
dc.relation.isbasedonGranger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424–438. https://doi.org/10.2307/1912791
dc.relation.isbasedonGranger, C. W. J. (1988). Some recent development in a concept of causality. Journal of Econometrics, 39(1–2), 199–211. https://doi.org/10.1016/0304-4076(88)90045-0
dc.relation.isbasedonGujarati, D. N., & Porter, D. C. (2010). Econometría (5th ed.). México: McGraw-Hill Interamericana.
dc.relation.isbasedonHaenlein, M., & Kaplan, A. M. (2004). A beginner’s guide to partial least squares analysis. Understanding Statistics, 3(4), 283–297. https://doi.org/10.1207/s15328031us0304_4
dc.relation.isbasedonHelpman, E. (1998). General purpose technologies and economic growth. Cambridge, MA: The MIT Press.
dc.relation.isbasedonHollenstein, H. (2004). Determinants of the adoption of Information and Communication Technologies (ICT): An empirical analysis based on firm-level data for the Swiss business sector. Structural Change and Economic Dynamics, 15(3), 315–342. https://doi.org/10.1016/j.strueco.2004.01.003
dc.relation.isbasedonJohansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2–3), 231–254. https://doi.org/10.1016/0165-1889(88)90041-3
dc.relation.isbasedonKao, C. (1999). Spurious Regression and Residual Based Tests for Cointegration in Panel Data. Journal of Econometrics, 90(1), 1–44. https://doi.org/10.1016/S0304-4076(98)00023-2
dc.relation.isbasedonKao, C., & Chiang, M. H. (2001). On the estimation and inference of a cointegrated regression in panel data. In B. H. Baltagi, T. B. Fomby, & R. Carter (Eds.), Nonstationary Panels, Panel Cointegration, and Dynamic Panels (Advances in Econometrics, Vol. 15) (pp. 179–222). Bingley: Emerald Group Publishing Limited. https://doi.org/10.1016/S0731-9053(00)15007-8
dc.relation.isbasedonLiu, S. (2013). An empirical study on e-commerce’s effects on economic growth. Paper presented at International Conference on Education Technology and Management Science (ICETMS 2013). https://doi.org/10.2991/icetms.2013.260
dc.relation.isbasedonLiu, T. K., Chen, J. R., Huang, C., & Yang, C. H. (2013). E-commerce, R&D, and productivity: Firm-level evidence from Taiwan. Information Economics and Policy, 25(4), 272–283. https://doi.org/10.1016/j.infoecopol.2013.07.001
dc.relation.isbasedonMeng, T. (2017). National Report on e-commerce development in UK (Inclusive and Sustainable Industrial Development Working Paper Series WP 19|2017). Vienna: United Nations Industrial Development Organization.
dc.relation.isbasedonOECD. (1998). 21st Century technologies promises and perils of a dynamic future. Retrieved December 4, 2018, from https://www.oecd.org/futures/35391210.pdf
dc.relation.isbasedonOECD. (2018). Glossary of statistical terms. Retrieved December 4, 2018, from https://stats.oecd.org/glossary/detail.asp?ID=4721
dc.relation.isbasedonOECD. (2019). Income. Retrieved April 18, 2019, from http://www.oecdbetterlifeindex.org/topics/income/
dc.relation.isbasedonPedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In B. H. Baltagi, T. B. Fomby, & R. Carter (Eds.), Nonstationary Panels, Panel Cointegration, and Dynamic Panels (Advances in Econometrics, Vol. 15) (pp. 93–180). Bingley: Emerald Group Publishing Limited.
dc.relation.isbasedonPesaran, M. H. (2004). General Diagnostic Test for cross section dependence in panels (Discussion Paper No. 1240). Bonn: Institute for the Study of Labor. Retrieved April 12, 2018, from http://ftp.iza.org/dp1240.pdf
dc.relation.isbasedonPesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. https://doi.org/10.1002/jae.951
dc.relation.isbasedonPilinkiene, V., Kurschus, R.-J., & Auskalnyte, G. (2013). E-business as a source of competitive advantage. Economics and management, 18(1), 77–85. https://doi.org/10.5755/j01.em.18.1.3669
dc.relation.isbasedonPorter, M. (1980). Competitive Strategy. New York, NY: Free Press.
dc.relation.isbasedonRiti, J. S., Song, D., Shu, Y., & Kamah, M. (2017). Decoupling CO2 emission and economic growth in China: Is there consistency in estimation results in analyzing environmental Kuznets curve? Journal of Cleaner Production, 166, 1448–1461. https://doi.org/10.1016/j.jclepro.2017.08.117
dc.relation.isbasedonSchreyer, P. (2000). The Contribution of Information and Communication Technology to Output Growth: A Study of the G7 Countries (OECD Science, Technology and Industry Working Paper No. 2000/02). Paris: OECD Publishing. https://doi.org/10.1787/151634666253
dc.relation.isbasedonTarasewich, P., Nickerson, R. C., & Warkentin, M. (2002). Issues in mobile e-commerce. Communications of the Association for Information Systems, 8, 41–64. https://doi.org/10.17705/1CAIS.00803
dc.relation.isbasedonUN. (2014). Country classification, World Economic Situation and Prospects 2014. Retrieved July 19, 2020, from https://www.un.org/en/development/desa/policy/wesp/wesp_current/2014wesp_country_classification.pdf
dc.relation.isbasedonVickery, G., Sakai, K., Lee, I., Sim, H., & Faverie, M. (2004). ICT, E-business and SMEs. Organisation for Economic Co-operation and Development. Retrieved October 2, 2018, from http://www.oecd.org/cfe/smes/31919255.pdf
dc.relation.isbasedonWang, X., & Liu, L. (2015). Empirical research on the influence factors of e-commerce development in China. The Open Cybernetics & Systemics Journal, 9, 76–82. https://doi.org/10.2174/1874110X01509010076
dc.relation.isbasedonWB. (2018a). World Bank national accounts data, and OECD National Accounts data files. Retrieved December 5, 2018, from https://data.worldbank.org/indicator/NY.ADJ.NNTY.PC.KD
dc.relation.isbasedonWB. (2018b). World Bank national accounts data, and OECD National Accounts data files. Retrieved December 6, 2018, from https://data.worldbank.org/indicator/IT.CEL.SETS.P2
dc.relation.isbasedonWB. (2018c). World Bank national accounts data, and OECD National Accounts data files. Retrieved December 7, 2018, from https://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS
dc.relation.isbasedonWB. (2020). World Bank data, Individuals using the Internet (% of population). Retrieved July 19, 2020, from https://data.worldbank.org/indicator/IT.NET.USER.ZS?view=map.
dc.relation.isbasedonZhu, K. (2004). The Complementarity of Information Technology Infrastructure and E-Commerce Capability: A Resource-Based Assessment of Their Business Value. Journal of Management Information Systems, 21(1), 167–202. Retrieved from https://rady.ucsd.edu/faculty/directory/zhu/docs/papers/paper10_JMIS_Complementarity.pdf
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjecteconomic growthen
dc.subjecte-businessen
dc.subjecte-commerceen
dc.subjectdigital economyen
dc.subjecteconometric modelen
dc.subject.classificationO52
dc.subject.classificationC01
dc.titleE-commerce Development in Europe: A Panel Data Analysis 2003–2017en
dc.typeArticleen
local.accessopen
local.citation.epage101
local.citation.spage89
local.facultyFaculty of Economics
local.filenameEM_4_2020_6
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue4
local.relation.volume23
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