IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-19886-1_10.html
   My bibliography  Save this book chapter

Assessing the Relationship Between Corporate Social Responsibility and Financial Performance in the Oil and Energy Romanian Industry

In: Digital Economy and the Green Revolution

Author

Listed:
  • Nour LAKISS

    (The Bucharest University of Economic Studies -Institute for Doctoral Studies―Finance)

Abstract

The purpose of this study is to examine the influence of corporate social responsibility (CSR) on the financial performance (PF) of firms working in the oil and energy sector in the Romanian market in order to develop a realistic approach for evaluating company's profitability. Accounting metrics (ROA, ROE, ROIC, EPS), liquidity parameters (current ratio), and market-based indicators were used to assess the financial performance of the firm treated as a dependent variable (PBV). As per the findings of a regression analysis, CSR has a favorable impact on EPS but no impact on ROA, ROE, ROIC, or PBV. In the first model, the variable CA ANG had a negative impact on ROA and a negative impact on ROE (where the total number of workers indicates the company's size and the Long-term debt / Equity ratio represents the debt). Furthermore, CA ANG had a positive impact in the second model (where total assets indicate firm size and the ratio Total debt / Equity denotes debt), a negative influence in the two ROIC models, and a positive impact on the PBV. When it comes to size metrics, the total number of workers has a favorable impact on ROA and PBV. In the case of debt, the variable DT CP has a negative impact on ROE and ROIC, but the variable DTL CP has a positive impact on ROIC and a negative impact on PBV. The two models that included the liquidity ratio as a dependent variable were not statistically valid.

Suggested Citation

  • Nour LAKISS, 2023. "Assessing the Relationship Between Corporate Social Responsibility and Financial Performance in the Oil and Energy Romanian Industry," Springer Proceedings in Business and Economics, in: Mihail Busu (ed.), Digital Economy and the Green Revolution, pages 127-137, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-19886-1_10
    DOI: 10.1007/978-3-031-19886-1_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-031-19886-1_10. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.