IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i12p4470-d374608.html
   My bibliography  Save this article

The Impact of Internet Usage and Knowledge-Intensive Activities on Households’ Healthcare Expenditures

Author

Listed:
  • Marco Benvenuto

    (Department of Economics, University of Salento, 73100 Lecce, Italy)

  • Alexandru Avram

    (Department of Finance, Faculty of Economics and Business Administration, West University of Timisoara, 300115 Timisoara, Romania)

  • Francesco Vincenzo Sambati

    (Department of Economics, University of Salento, 73100 Lecce, Italy)

  • Marioara Avram

    (Department of Economics, Accounting and International Affairs, University of Craiova, 13, A. I. Cuza Street, 200585 Craiova, Romania)

  • Carmine Viola

    (Department of Economics, University of Salento, 73100 Lecce, Italy)

Abstract

This paper examines the impact of the internet usage and knowledge intensive activities on households’ healthcare expenditures Similarly, the paper aims to recognize and understand, from a value-creation perspective, the correlation between: internet access of households (IA), individuals frequently using the internet (IU), individuals searching on internet for health-related information (HI), payments made by households for healthcare (PHH), expressed as euro per inhabitant and employment in knowledge-intensive activities (KIA). The approach utilized in the present study consists of two steps. First, a theoretical framework was conducted to determine the existing relationship between major variables. Next, the Vector Autoregressive (VAR) approach was applied in a case study at European level to prove the three hypothesis we consider. By analyzing the connection between the major variables, a positive and long- lasting impulse response function was revealed, followed by an ascending trend. This suggests that a self-multiplying effect is being generated; and it reasonable to assume that the more individuals use the Internet, the more electronic acquisitions occur. We can thus reasonably conclude that the improvement of the internet usage and knowledge intensive activities on households’ healthcare expenditures process is strongly dependent on people’s capability. Improving IU and KIA is the new reading key in the decision-making process in health system approach.

Suggested Citation

  • Marco Benvenuto & Alexandru Avram & Francesco Vincenzo Sambati & Marioara Avram & Carmine Viola, 2020. "The Impact of Internet Usage and Knowledge-Intensive Activities on Households’ Healthcare Expenditures," IJERPH, MDPI, vol. 17(12), pages 1-13, June.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4470-:d:374608
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/12/4470/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/12/4470/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrew C. Harvey, 1990. "The Econometric Analysis of Time Series, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 026208189x, December.
    2. Domenech, Josep & Escamilla, Rafael & Roig-Tierno, Norat, 2016. "Explaining knowledge-intensive activities from a regional perspective," Journal of Business Research, Elsevier, vol. 69(4), pages 1301-1306.
    3. Roxana Loredana Dan & Alexandru Buglea & Cecilia Anis, 2015. "The main models of corporate governance," Proceedings of International Academic Conferences 3105360, International Institute of Social and Economic Sciences.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rui Min & Hongxin Yang & Xu Mo & Yanbin Qi & Dingde Xu & Xin Deng, 2022. "Does Institutional Social Insurance Cause the Abandonment of Cultivated Land? Evidence from Rural China," IJERPH, MDPI, vol. 19(3), pages 1-11, January.
    2. Lili Li & Yiwu Zeng & Zhonggen Zhang & Changluan Fu, 2020. "The Impact of Internet Use on Health Outcomes of Rural Adults: Evidence from China," IJERPH, MDPI, vol. 17(18), pages 1-14, September.
    3. Marco Benvenuto & Francesco Sambati & Carmine Viola, 2022. "Una survey nazionale per valutare l?efficacia della comunicazione istituzionale nella gestione del Covid-19," MECOSAN, FrancoAngeli Editore, vol. 2022(121), pages 31-56.

    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. Rocha, Roberto de Rezende, 1991. "Inflation and stabilization in Yugoslavia," Policy Research Working Paper Series 752, The World Bank.
    2. Campos, Nauro & Nugent, Jeffrey B, 2000. "Investment and Instability," CEPR Discussion Papers 2609, C.E.P.R. Discussion Papers.
    3. Beck, Guenter W. & Wieland, Volker, 2008. "Central bank misperceptions and the role of money in interest-rate rules," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 1-17, October.
    4. Jacques Mairesse & Bronwyn H. Hall & Benoît Mulkay, 1999. "Firm-Level Investment in France and the United States: An Exploration of What We Have Learned in Twenty Years," Annals of Economics and Statistics, GENES, issue 55-56, pages 27-67.
    5. Roberto Casarin & Andrea Piva & Loriana Pelizzon, 2008. "Italian Equity Funds: Efficiency and Performance Persistence," The IUP Journal of Financial Economics, IUP Publications, vol. 0(1), pages 7-28, March.
    6. Isabel Figuerola-Ferretti, 2005. "Prices and production cost in aluminium smelting in the short and the long run," Applied Economics, Taylor & Francis Journals, vol. 37(8), pages 917-928.
    7. Chris Gardiner & John Henneberry, 1995. "Analysing the property-gilts yield differential," Applied Economics Letters, Taylor & Francis Journals, vol. 2(1), pages 12-15.
    8. Garsztka Przemysław & Hołubowicz Krzysztof, 2015. "The Application of Asymmetric Liquidity Risk Measure in Modelling the Risk of Investment," Folia Oeconomica Stetinensia, Sciendo, vol. 15(1), pages 83-100, June.
    9. Lauridsen, J. & Kosfeld, R., 2004. "A wald Test for Spatial Nonstationarity," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 1-12, Diciembre.
    10. Arifa Tanveer & Shihong Zeng & Muhammad Irfan & Rui Peng, 2021. "Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior," Energies, MDPI, vol. 14(16), pages 1-24, August.
    11. Charles Engel & James Morley, 2000. "The Adjustment of Prices and the Adjustment of the Exchange Rate," Working Papers 0009, University of Washington, Department of Economics.
    12. Muhammad, Andrew & Meade, Birgit Gisela Saager & Regmi, Anita & Seale, James L., 2011. "International Evidence on Food Consumption Patterns: An Update Using 2005 International Comparison Program Data," Technical Bulletins 120252, United States Department of Agriculture, Economic Research Service.
    13. Pantelis Kalaitzidakis & George Korniotis, 2000. "The Solow growth model: vector autoregression (VAR) and cross-section time-series analysis," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 739-747.
    14. Roberto Leon-Gonzalez & Blessings Majoni, 2023. "Exact Likelihood for Inverse Gamma Stochastic Volatility Models," GRIPS Discussion Papers 23-07, National Graduate Institute for Policy Studies.
    15. Emma Iglesias & Garry Phillips, 2005. "Analysing one-month Euro-market interest rates by fractionally integrated models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 95-106.
    16. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    17. Branch, William A. & Evans, George W., 2006. "A simple recursive forecasting model," Economics Letters, Elsevier, vol. 91(2), pages 158-166, May.
    18. Gannon, Gerard, 2005. "Simultaneous volatility transmissions and spillover effects: U.S. and Hong Kong stock and futures markets," International Review of Financial Analysis, Elsevier, vol. 14(3), pages 326-336.
    19. Hakan Berument & Richard Froyen, 1998. "Potential information and target variables for UK monetary policy," Applied Economics, Taylor & Francis Journals, vol. 30(4), pages 449-463.
    20. Walch, Florian & Dwenger, Nadja, 2011. "Tax Losses and Firm Investment: Evidence from Tax Statistics," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48699, Verein für Socialpolitik / German Economic Association.

    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:gam:jijerp:v:17:y:2020:i:12:p:4470-:d:374608. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.