IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3000-d1060446.html
   My bibliography  Save this article

The Effect of Economic, Financial and Political Stabilities on the Banking Sector: Cases of Six Balkan Countries

Author

Listed:
  • Dervis Kirikkaleli

    (Department of Banking and Finance, Faculty of Economics and Administrative Sciences, European University of Lefke, Lefke 99728, Northern Cyprus, Turkey)

  • Emine Ünar Kayar

    (Department of Business Administration, Faculty of Economic and Administrative Sciences, European University of Lefke, Lefke 99728, Northern Cyprus, Turkey)

Abstract

Today, banks, which act as financial intermediaries, ensure the growth of the economy. Banks, being a channel in monetary policies and monetary issues, are effective institutions in ensuring sustainable macroeconomic stability. In addition, banks are one of the institutions that are exposed to the most financial risk by nature. This article explores the long-term effects of economic, financial and political stabilities on the banking sector. This research covers the 21-year period between 1996–2017. The aim of this study is to examine the effects of economic, financial and political stabilities, which are the components of country risk, on the banking sector in selected Balkan countries and using the panel data analysis technique, which is one of the econometric analysis methods. Panel cross-sectional dependence, unit root tests, cointegration and causality tests were applied according to country risk indicators for the six selected Balkan countries. The selected Balkan countries have paid attention to their development in the country’s economies and their involvement in global trade and to adopt the modern banking system. In addition, six Balkan countries have been selected as examples in the study due to their close relations with Turkey in the socio-cultural and economic fields. The results of the panel tests indicated the of unit root tests as well as the existence of cointegration. The p values obtained as a result of cointegration analysis are less than 0.005, indicating the existence of cointegration. It has been concluded that there is a cointegration relationship in all three hypotheses, which have the effects of economic, financial and political stabilities on the banking sector. According to the Granger causality test results, there is a bidirectional causality relationship between the banking variable and the economic stabilities variable. Having long-term and causal relationships between selected Balkan economies requires financial and economic stability to be supported simultaneously. In short, it has been determined that economic, financial and political stabilities have a relationship with sustainable banking in the long term.

Suggested Citation

  • Dervis Kirikkaleli & Emine Ünar Kayar, 2023. "The Effect of Economic, Financial and Political Stabilities on the Banking Sector: Cases of Six Balkan Countries," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3000-:d:1060446
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3000/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/4/3000/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joakim Westerlund, 2006. "Testing for Panel Cointegration with Multiple Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(1), pages 101-132, February.
    2. Hammoudeh, Shawkat & Sari, Ramazan & Uzunkaya, Mehmet & Liu, Tengdong, 2013. "The dynamics of BRICS's country risk ratings and domestic stock markets, U.S. stock market and oil price," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 277-294.
    3. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    4. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Luciano Lopez & Sylvain Weber, 2017. "Testing for Granger causality in panel data," Stata Journal, StataCorp LP, vol. 17(4), pages 972-984, December.
    7. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    8. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    9. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    10. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    11. Hatemi-J, Abdulnasser, 2020. "Asymmetric Panel Causality Tests with an Application to the Impact of Fiscal Policy on Economic Performance in Scandinavia," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(3), pages 389-404.
    12. 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.
    13. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    14. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    15. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    16. Westerlund, Joakim, 2006. "Testing for panel cointegration with a level break," Economics Letters, Elsevier, vol. 91(1), pages 27-33, April.
    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. Tsangyao Chang & Chien-Chiang Lee & Hsiao-Ping Chu, 2015. "Revisiting the Defense-Growth nexus in European countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(3), pages 341-356, June.
    2. 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.
    3. Lauren Stagnol, 2015. "Designing a corporate bond index on solvency criteria," EconomiX Working Papers 2015-39, University of Paris Nanterre, EconomiX.
    4. Hussein Moghaddam & Robert M. Kunst, 2023. "The Role of Natural Gas in Mitigating Greenhouse Gas Emissions: The Environmental Kuznets Curve Hypothesis for Major Gas-Producing Countries," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    5. 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.
    6. Khan, Zeeshan & Haouas, Ilham & Trinh, Hai Hong & Badeeb, Ramez Abubakr & Zhang, Changyong, 2023. "Financial inclusion and energy poverty nexus in the era of globalization: Role of composite risk index and energy investment in emerging economies," Renewable Energy, Elsevier, vol. 204(C), pages 382-399.
    7. Juan Carlos Aquino & N. R. Ramírez-Rondán, 2020. "Estimating factor shares from nonstationary panel data," Empirical Economics, Springer, vol. 58(5), pages 2353-2380, May.
    8. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2022. "Which are the long-run determinants of US outward FDI? Evidence using large long-memory panels," Working Papers 2022.08, International Network for Economic Research - INFER.
    9. Asta Ndongo & Ibrahima Thione Diop, 2021. "Economic and Monetary Integration in ECOWAS Countries: A Panel VAR Approach to Identify Macroeconomic Shocks," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 7(2), pages 61-87, December.
    10. 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.
    11. Lee Chien-Chiang, 2011. "Does Insurance Matter for Growth: Empirical Evidence from OECD Countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-28, June.
    12. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    13. Antonio Afonso & Hüseyin Sen & Ayse Kaya, 2021. "Government Size, Unemployment and Inflation Nexus in Eight Large Emerging Market Economies," Hacienda Pública Española / Review of Public Economics, IEF, vol. 235(1), pages 133-170, March.
    14. Ayhan KULOĞLU & Eyyup ECEVİT, 2017. "The Relationship Between Health Development Index And Financial Development Index: Evidence From High Income Countries," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 2(2), pages 83-95.
    15. Usman, Muhammad & Khalid, Khaizran & Mehdi, Muhammad Abuzar, 2021. "What determines environmental deficit in Asia? Embossing the role of renewable and non-renewable energy utilization," Renewable Energy, Elsevier, vol. 168(C), pages 1165-1176.
    16. Iheonu, Chimere & Asongu, Simplice & Odo, Kingsley & Ojiem, Patrick, 2020. "Financial Sector Development and Investment in Selected ECOWAS Countries: Empirical Evidence using Heterogeneous Panel Data Method," MPRA Paper 107102, University Library of Munich, Germany.
    17. Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
    18. Acikgoz, Senay & Ben Ali, Mohamed Sami, 2019. "Where does economic growth in the Middle Eastern and North African countries come from?," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 172-183.
    19. Yang, Shuangpeng & umar, Muhammad, 2022. "How globalization is reshaping the environmental quality in G7 economies in the presence of renewable energy initiatives?," Renewable Energy, Elsevier, vol. 193(C), pages 128-135.
    20. Jiang, Hongdian & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2020. "What drives China's natural gas consumption? Analysis of national and regional estimates," Energy Economics, Elsevier, vol. 87(C).

    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:jsusta:v:15:y:2023:i:4:p:3000-:d:1060446. 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.