IDEAS home Printed from https://ideas.repec.org/a/vra/journl/v8y2019i2p100-109.html
   My bibliography  Save this article

Broadband and e-Commerce in the Balkans - Econometric Analysis

Author

Listed:
  • Mariana Kaneva

    (University of Economics - Varna)

Abstract

Broadband telecommunications are pointed out as one of the fundamental acceleration factors for economic development. Through the broadband technology, information can be sent along multiple channels, which allows more information to be transmitted at a definite moment. One of the applications of this technology is internet commerce. The scientific aim of this publication is the quantitative assessment of factor influences between broadband networks and electronic sales, and their characteristics in the Balkan states. The used methodology of the research is built upon the cointegration approach. Both long-term, static influences are assessed, and the short-term dynamics. Databases of the International telecommunication union, the World bank, Eurostat and Euromonitor are used. The research relates to the period from 2007 to 2018. The beginning of the research period is consistent with the issuance by the European commission of Recommendation C (2007) 5406, in connection with Directive 2002/21/EC. The calculations in the present publication are accomplished by means of Microsoft Excel, EViews 10. The results from the research are useful for governmental and regulatory bodies of the separate states, during the development of policies in this sphere.

Suggested Citation

  • Mariana Kaneva, 2019. "Broadband and e-Commerce in the Balkans - Econometric Analysis," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 8(2), pages 100-109, August.
    • Handle: RePEc:vra:journl:v:8:y:2019:i:2:p:100-109
    DOI: 10.36997/IJUSV-ESS/2019.8.2.100
    as

    Download full text from publisher

    File URL: http://su-varna.org/journal/IJUSV-ESS/2019.8.2/100-109.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.36997/IJUSV-ESS/2019.8.2.100?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Helmut Lütkepohl & Fang Xu, 2012. "The role of the log transformation in forecasting economic variables," Empirical Economics, Springer, vol. 42(3), pages 619-638, June.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    4. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    5. Nina Czernich & Oliver Falck & Tobias Kretschmer & Ludger Woessmann, 2011. "Broadband Infrastructure and Economic Growth," Economic Journal, Royal Economic Society, vol. 121(552), pages 505-532, May.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    7. Madalina-Vanesa Vargas, 2018. "Analysis of the e-Commerce Development in the Balkans," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 4(3), pages 63-69, September.
    8. Hasbi, Maude, 2017. "Impact of Very High-Speed Broadband on Local Economic Growth: Empirical Evidence," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168484, International Telecommunications Society (ITS).
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    10. Biagi, Federico & Falk, Martin, 2017. "The impact of ICT and e-commerce on employment in Europe," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 1-18.
    11. Biagi, Federico & Falk, Martin, 2017. "The Impact of ICT and E-Commerce Activities on Employment in Europe," Ratio Working Papers 285, The Ratio Institute.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Committee, Nobel Prize, 2003. "Time-series Econometrics: Cointegration and Autoregressive Conditional Heteroskedasticity," Nobel Prize in Economics documents 2003-1, Nobel Prize Committee.
    2. Fredj Jawadi & Catherine Bruneau & Nadia Sghaier, 2009. "Nonlinear Cointegration Relationships Between Non‐Life Insurance Premiums and Financial Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 753-783, September.
    3. Caner Demir, 2019. "Macroeconomic Determinants of Stock Market Fluctuations: The Case of BIST-100," Economies, MDPI, vol. 7(1), pages 1-14, February.
    4. Crowder, William J., 1995. "Covered interest parity and international capital market efficiency," International Review of Economics & Finance, Elsevier, vol. 4(2), pages 115-132.
    5. Pär Österholm, 2005. "The Taylor Rule: A Spurious Regression?," Bulletin of Economic Research, Wiley Blackwell, vol. 57(3), pages 217-247, July.
    6. Levent KORAP, 2008. "Exchange Rate Determination Of Tl/Us$:A Co-Integration Approach," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 7(1), pages 24-50, May.
    7. David F. Hendry & Grayham E. Mizon, 2016. "Improving the teaching of econometrics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1170096-117, December.
    8. Kühl, Michael, 2007. "Cointegration in the foreign exchange market and market efficiency since the introduction of the Euro: Evidence based on bivariate cointegration analyses," University of Göttingen Working Papers in Economics 68, University of Goettingen, Department of Economics.
    9. Nafeesa Yunus & J. Hansz & Paul Kennedy, 2012. "Dynamic Interactions Between Private and Public Real Estate Markets: Some International Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 1021-1040, November.
    10. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    11. Johannes W. Fedderke, 2022. "Identifying supply and demand shocks in the South African Economy, 1960–2020," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 349-389, September.
    12. Levent, Korap, 2007. "Does the interest differential explain future exchange rate return? a re-examination of the UIP hypothesis for the Turkish economy," MPRA Paper 19618, University Library of Munich, Germany.
    13. André van Stel & Roy Thurik & Chantal Hartog & Simon Parker, 2010. "The two-way relationship between entrepreneurship and economic performance," Scales Research Reports H200822, EIM Business and Policy Research.
    14. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502, Decembrie.
    15. Tung Liu & Lee C. Spector, 2005. "Dynamic employment adjustments over business cycles," Empirical Economics, Springer, vol. 30(1), pages 151-169, January.
    16. Le Hoang Phong & Dang Thi Bach Van & Ho Hoang Gia Bao, 2018. "The Role of Globalization on CO2 Emission in Vietnam Incorporating Industrialization, Urbanization, GDP per Capita and Energy Use," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 275-283.
    17. Esther Stroe-Kunold & Joachim Werner, 2009. "A drunk and her dog: a spurious relation? Cointegration tests as instruments to detect spurious correlations between integrated time series," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(6), pages 913-940, November.
    18. Abhijit Sharma & Theodore Panagiotidis, 2003. "An Analysis of Exports and Growth in India: Some Empirical Evidence (1971-2001)," Working Papers 2003004, The University of Sheffield, Department of Economics, revised Nov 2003.
    19. Niaz Morshed & Mohammad Razib Hossain, 2022. "Causality analysis of the determinants of FDI in Bangladesh: fresh evidence from VAR, VECM and Granger causality approach," SN Business & Economics, Springer, vol. 2(7), pages 1-28, July.
    20. Judith A. Clarke & Sadaf Mirza, 2003. "Some Finite Sample Results On Testing For Granger Noncausality," Econometrics Working Papers 0305, Department of Economics, University of Victoria.

    More about this item

    Keywords

    time series analysis; descriptive analysis; Cointegration Models; forecasting; broadband; Internet speed; e-commerce;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vra:journl:v:8:y:2019:i:2:p:100-109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pavel Petrov (email available below). General contact details of provider: https://edirc.repec.org/data/uevecea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.