IDEAS home Printed from https://ideas.repec.org/p/sek/iefpro/14516428.html
   My bibliography  Save this paper

Environmental profile of selected European countries and key banking indicators ? A causality approach

Author

Listed:
  • Iustina Alina Boitan

    (Faculty of Finance and Banking, Bucharest University of Economic Studies)

  • Wafaa Shabban

    (Doctoral School of Finance, Bucharest University of Economic Studies)

Abstract

The study investigates the presence of unilateral or bilateral causality relationship between country-level environmental indicators (as a component of the ESG) and main banking system indicators represented by profitability, solvency, liquidity, efficiency, credit quality and savings ratio, as well as bank concentration. Five indicators belonging to the environmental dimension of the ESG are considered, related to food security, carbon emissions and pollution, and respectively energy sources and energy security. In line with the warnings issued by European authorities regarding the potential of environmental risks to be exacerbated by the physical adverse effects of climate change, we conducted the statistical analysis with an exclusive focus on European Union countries that exhibit a temperate climate profile. Granger causality test is employed in a country-by-country approach to assess the relationship between banking system and environmental indicators, in terms of a cause ? effect framework. Findings outline a significant relationship in terms of causality between country-level environmental indicators and banking system indicators. Interestingly, two out of the five environmental indicators (agriculture, forestry, and fishing value added, and respectively CO2 emissions) are always included in at least one causal relationship with banking system indicators, for every country in the sample. The influence of environmental indicators on banking activity (unidirectional) is most pronounced and precedes banking changes especially in Spain and Portugal, with Italy positioning at the bottom of the ranking. Another result points that banking indicators in most countries considered are particularly sensitive to previous changes in the carbon emissions level, in the production of electricity and energy consumption from polluting sources such as coal or fossil fuels. In terms of bilateral causality occurrence, Greece, Portugal and Spain witness most of them. The variables most often included in the causal interplay are related on one hand to CO2 emissions and agriculture, forestry, and fishing value added, and on the other hand to bank credit to bank deposits (a proxy for bank liquidity) and bank cost to income ratio (a proxy of the operational efficiency).

Suggested Citation

  • Iustina Alina Boitan & Wafaa Shabban, 2024. "Environmental profile of selected European countries and key banking indicators ? A causality approach," Proceedings of Economics and Finance Conferences 14516428, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iefpro:14516428
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/international-conference-on-economics-finance-business-prague-2024/table-of-content/detail?cid=145&iid=002&rid=16428
    File Function: First version, 2024
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Environment; CO2 emissions; Renewable energy; Fossil fuel energy; Electricity production from coal; Agriculture; Forestry; and fishing; Banking system; Granger causality;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q59 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Other

    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:sek:iefpro:14516428. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    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.