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Corruption and Information Sharing as Determinants of Non-Performing Loans

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  • Ahmad Fawad

    (Department of Management Sciences, Iqra National University, Peshawar, Pakistan)

Abstract

Background: There are several factors that lead to the growth or decline of the nonperforming loans, such as macroeconomic variables and bank specific variables, banks ownership structure, corruption and information sharing. Among them one of the main factors that affect the non-performing loans are the corruption. In developing countries corruption plays very important role in the growth of non-performing loans. Objectives: This study investigates the impact of corruption at economy level and institution level on the nonperforming loans. This study also examines the association of information sharing between depositors, lenders and financial institutions. Methods/Approach: The current study used time series data over the period of 2001 to 2010 and employed OLS method. Results: The results provide no significant association of corruption and information sharing with non-performing loans. Conclusions: The results suggest no significant impact of corruption on non-performing loans because of the nature of the data used, but as literature provides significant impact of corruption on non-performing loans, therefore State Bank of Pakistan and commercial banks can reduce the level of non-performing loans by reducing the chance of corrupt practices by following the rules and regulation of credit allocation, supervision and loan monitoring.

Suggested Citation

  • Ahmad Fawad, 2013. "Corruption and Information Sharing as Determinants of Non-Performing Loans," Business Systems Research, Sciendo, vol. 4(1), pages 87-98, March.
  • Handle: RePEc:bit:bsrysr:v:4:y:2013:i:1:p:87-98
    DOI: 10.2478/bsrj-2013-0008
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    References listed on IDEAS

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    2. Faris Alshubiri & Syed Ahsan Jamil & Samia Fekir, 2024. "Corruption Control, Government Effectiveness and Banking Stability: Does Corruption Grease or Sand the Wheels?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2656-2681, March.
    3. Friedrich Thießen, 2018. "Korruption und die Finanzmärkte - Das Problem der Non-Performing-Loans im Kreditgeschäft," Chemnitz Economic Papers 021, Department of Economics, Chemnitz University of Technology, revised Mar 2018.
    4. Abdelaziz Hakimi & Rim Boussaada & Majdi Karmani, 2022. "Is the relationship between corruption, government stability and non‐performing loans non‐linear? A threshold analysis for the MENA region," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4383-4398, October.
    5. Akinola Ezekiel Morakinyo & Mabutho Sibanda, 2016. "The Determinants of Non-Performing Loans in the MINT Economies," Journal of Economics and Behavioral Studies, AMH International, vol. 8(5), pages 39-55.
    6. Ben Ali, Mohamed Sami & Fhima, Fredj & Nouira, Ridha, 2020. "How does corruption undermine banking stability? A threshold nonlinear framework," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    7. Kwamena Minta Nyarku & Stephen Oduro, 2017. "Examining the Effect of Corruption and Bureaucracy on SMEs Growth in the Kumasi Metropolis of Ghana," Proceedings Paper, in: Munyoki, Justus & Bode, Jürgen (ed.), Universities, Entrepreneurship and Enterprise Development in Africa - Conference Proceedings 2017, volume 6, pages 154-173, Universities Entrepreneurship and Enterprise Development in Africa International Conference.
    8. Maryem Naili & Younes Lahrichi, 2022. "The determinants of banks' credit risk: Review of the literature and future research agenda," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 334-360, January.
    9. Mungiria, James & Ondabu, Ibrahim, 2019. "Role of Credit Reference Bureau On Financial Intermediation: Evidence from The Commercial Banks in Kenya," MPRA Paper 95050, University Library of Munich, Germany.

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