IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2019-02-5.html
   My bibliography  Save this article

An Analysis of Reciprocal Influence between Advertising Expenditures and Gross Domestic Product

Author

Listed:
  • Zeynep Bayazit

    (Department of Business Administration, Istanbul Commerce University, Istanbul, Turkey)

  • Elif Guneren Genc

    (Department of Banking and Finance, Istanbul Commerce University, Istanbul, Turkey)

Abstract

In today's interconnected global economy, advertising plays a crucial role. Advertising, as the most effective marketing communication tool, generates informative value, consumer demand, company visibility, awareness to public, clear market positioning and economic vitality. According to most literature, a company which doesn't neglect marketing obligations and specifically advertising, tends to protect and gain market share and creates a positive brand image and reputation. The present study has explored the relationship between Gross Domestic Product (GDP) and Advertising expenditures (ADspend) according to the development levels of countries. This relation has inspected with using Panel Granger Causality Test, which reformed by Dumitrescu ve Hurin (2012). After that, the study has focused on establishing whether there is a cointegration relationship between GDP and Advertising Expenditures in the selected groups of countries with different types of development levels.

Suggested Citation

  • Zeynep Bayazit & Elif Guneren Genc, 2019. "An Analysis of Reciprocal Influence between Advertising Expenditures and Gross Domestic Product," International Journal of Economics and Financial Issues, Econjournals, vol. 9(2), pages 41-47.
  • Handle: RePEc:eco:journ1:2019-02-5
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijefi/article/download/7537/pdf
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijefi/article/view/7537/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    3. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    4. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    5. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    6. Alejandro Zentner, 2012. "Internet Adoption and Advertising Expenditures on Traditional Media: An Empirical Analysis Using a Panel of Countries," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 21(4), pages 913-926, December.
    7. Luciano Lopez & Sylvain Weber, 2017. "Testing for Granger causality in panel data," Stata Journal, StataCorp LP, vol. 17(4), pages 972-984, December.
    8. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
    9. Barbara Deleersnyder & Marnik G. Dekimpe & Miklos Sarvary & Philip M. Parker, 2004. "Weathering Tight Economic Times: The Sales Evolution of Consumer Durables Over the Business Cycle," Quantitative Marketing and Economics (QME), Springer, vol. 2(4), pages 347-383, December.
    10. Emirmahmutoglu, Furkan & Kose, Nezir, 2011. "Testing for Granger causality in heterogeneous mixed panels," Economic Modelling, Elsevier, vol. 28(3), pages 870-876, May.
    11. Richard van der Wurff & Piet Bakker & Robert Picard, 2008. "Economic Growth and Advertising Expenditures in Different Media in Different Countries," Journal of Media Economics, Taylor & Francis Journals, vol. 21(1), pages 28-52.
    12. Robert Picard, 2001. "Effects of Recessions on Advertising Expenditures: An Exploratory Study of Economic Downturns in Nine Developed Nations," Journal of Media Economics, Taylor & Francis Journals, vol. 14(1), pages 1-14.
    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. Rishan Adha & Cheng-Yih Hong & Somya Agrawal & Li-Hua Li, 2023. "ICT, carbon emissions, climate change, and energy demand nexus: The potential benefit of digitalization in Taiwan," Energy & Environment, , vol. 34(5), pages 1619-1638, August.
    2. Fang, Zheng & Chen, Yang, 2017. "Human capital, energy, and economic development – Evidence from Chinese provincial data," RIEI Working Papers 2017-03, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    3. Fang, Zheng & Chen, Yang, 2017. "Human capital and energy in economic growth – Evidence from Chinese provincial data," Energy Economics, Elsevier, vol. 68(C), pages 340-358.
    4. Fang, Zheng & Chang, Youngho, 2016. "Energy, human capital and economic growth in Asia Pacific countries — Evidence from a panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 56(C), pages 177-184.
    5. Zheng Fang & Jiang Yu, 2020. "The role of human capital in energy-growth nexus: an international evidence," Empirical Economics, Springer, vol. 58(3), pages 1225-1247, March.
    6. Le, Thai-Ha & Nguyen, Canh Phuc, 2019. "Is energy security a driver for economic growth? Evidence from a global sample," Energy Policy, Elsevier, vol. 129(C), pages 436-451.
    7. Fang, Zheng & Chen, Yang, 2017. "Electricity consumption, Education Expenditure and Economic Growth in Chinese Cities," RIEI Working Papers 2017-02, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    8. Cosimo Magazzino, 2022. "Fiscal sustainability in the GCC countries," International Journal of Economic Policy Studies, Springer, vol. 16(2), pages 389-408, August.
    9. Chen, Yang & Fang, Zheng, 2018. "Industrial electricity consumption, human capital investment and economic growth in Chinese cities," Economic Modelling, Elsevier, vol. 69(C), pages 205-219.
    10. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    11. Zeeshan Arshad & Margarita Robaina & Anabela Botelho, 2020. "Renewable and Non-renewable Energy, Economic Growth and Natural Resources Impact on Environmental Quality: Empirical Evidence from South and Southeast Asian Countries with CS-ARDL Modeling," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 368-383.
    12. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    13. Murshed, Muntasir & Saboori, Behnaz & Madaleno, Mara & Wang, Hong & Doğan, Buhari, 2022. "Exploring the nexuses between nuclear energy, renewable energy, and carbon dioxide emissions: The role of economic complexity in the G7 countries," Renewable Energy, Elsevier, vol. 190(C), pages 664-674.
    14. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.
    15. Francisco García-Lillo & Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa, 2023. "Renewable Energies and Sustainable Development: A Bibliometric Overview," Energies, MDPI, vol. 16(3), pages 1-22, January.
    16. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    17. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    18. Rajesh Sharma & Samaresh Bardhan, 2017. "Finance growth nexus across Indian states: evidences from panel cointegration and causality tests," Economic Change and Restructuring, Springer, vol. 50(1), pages 1-20, February.
    19. Eugene Kouassi & Gnoudentiho G Silue & Oluyele Akinkugbe & Jean Marcelin B Brou, 2017. "Health expenditures and Income with Nonstationary Panel Data: Evidence from ECOWAS Member Countries," Economics Bulletin, AccessEcon, vol. 37(3), pages 2198-2218.
    20. Abdelaziz Boukhelkhal, 2022. "Energy use, economic growth and CO2 emissions in Africa: does the environmental Kuznets curve hypothesis exist? New evidence from heterogeneous panel under cross-sectional dependence," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13083-13110, November.

    More about this item

    Keywords

    Advertising; Advertising Expenditures; Panel data models;
    All these keywords.

    JEL classification:

    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

    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:eco:journ1:2019-02-5. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.