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FDI and heterogeneity in bank efficiency: Evidence from emerging markets

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  • Konara, Palitha
  • Tan, Yong
  • Johnes, Jill

Abstract

The inquiry into whether foreign firms are more productive than local firms has been one of the key research questions among international business scholars. We extend this line of research by addressing the heterogeneity among different performance measures. In this study, we examine the impact of foreign direct investment (FDI) on four internal measures of efficiency, i.e. overall technical, pure technical, scale and cost efficiencies, as well as an external measure of efficiency, i.e. revenue efficiency in the emerging markets banking sector. In contrast to previous studies that have perceived bank efficiency in a generic sense and have operationalized their efficiency measure with different measures of efficiency, we develop theoretical arguments to explain how the FDI-efficiency relationship can differ across these five types of efficiencies. We empirically test our hypotheses while accounting for endogeneity among efficiency, risk and capital under a three-stage least squares model. Our findings broadly suggest that foreign banks have an advantage in terms of overall technical efficiency and scale efficiency, but do not have an advantage in terms of pure technical efficiency, cost efficiency and revenue efficiency.

Suggested Citation

  • Konara, Palitha & Tan, Yong & Johnes, Jill, 2019. "FDI and heterogeneity in bank efficiency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 49(C), pages 100-113.
    • Handle: RePEc:eee:riibaf:v:49:y:2019:i:c:p:100-113
    DOI: 10.1016/j.ribaf.2019.02.008
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    2. Tan, Yong & Walheer, Barnabé, 2024. "Stability and economic performances in the banking industry: The case of China," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 326-345.
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    5. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
    6. Hirofumi Fukuyama & Yong Tan, 2022. "Deconstructing three‐stage overall efficiency into input, output and stability efficiency components with consideration of market power and loan loss provision: An application to Chinese banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 953-974, January.
    7. Christopoulos, Apostolos G. & Dokas, Ioannis G. & Katsimardou, Sofia & Spyromitros, Eleftherios, 2020. "Assessing banking sectors’ efficiency of financially troubled Eurozone countries," Research in International Business and Finance, Elsevier, vol. 52(C).
    8. Dincer, Hasan & Hacioglu, Umit & Tatoglu, Ekrem & Delen, Dursun, 2019. "Developing a hybrid analytics approach to measure the efficiency of deposit banks," Journal of Business Research, Elsevier, vol. 104(C), pages 131-145.
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    Keywords

    Bank efficiency; Foreign direct investment; Emerging markets;
    All these keywords.

    JEL classification:

    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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