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Anti-bribery information

Author

Listed:
  • Haitham Nobanee
  • Nejla Ellili

Abstract

Purpose - This paper aims to explore the extent of anti-bribery disclosures in the annual reports of the banks listed on UAE financial markets by differentiating between Islamic and conventional banks and examine the effect of anti-bribery disclosure on bank’s performance. Design/methodology/approach - This study uses in the first stage the content analysis to explore the extent of anti-bribery disclosure in the annual reports of the banks. In the second stage, the dynamic panel two-step robust system has been applied to study the impact of the anti-bribery disclosure on banking performance. Findings - The empirical results show that the anti-bribery disclosure is at low levels for all banks and that there are no significant differences in overall anti-bribery disclosure between the two banking systems while there are significant differences in “anti-bribery human resources practices” between Islamic and conventional banks. The dynamic panel data results show that the association between the anti-bribery disclosure and the bank’s performance is not significant as this kind of information is not clearly disclosed in the annual reports of the banks. Research limitations/implications - The study suggests to the UAE central bank and financial markets regulators to design a framework of anti-corruption disclosure by considering the international anti-corruption regime as an effort to respond to the international development of the bribery practices. Originality/value - Anti-bribery concerns all the banks over the world and this research is the first study that constructs an index to measure the anti-bribery disclosure and helps in providing the status of the banking industry in terms of anti-bribery disclosure within an emerging market in the objective to improve the transparency in combatting the bribery.

Suggested Citation

  • Haitham Nobanee & Nejla Ellili, 2020. "Anti-bribery information," Journal of Financial Crime, Emerald Group Publishing Limited, vol. 27(2), pages 683-695, February.
  • Handle: RePEc:eme:jfcpps:jfc-11-2019-0144
    DOI: 10.1108/JFC-11-2019-0144
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    More about this item

    Keywords

    Islamic banks; Content analysis; Panel data; Conventional banks; Banking performance; Anti-bribery disclosure; C33; G32; G34;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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