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Banks' Types of Ownership and Efficiency: Evidence from Indonesia

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Abstract

We examine the relationship between banks' types of ownership and banks' efficiency using Greene's "true" panel data stochastic frontier model. We find that, even after taking unobserved heterogeneity more properly into account, state-owned banks in Indonesia are the least efficient banks and joint-venture banks are the most efficient ones.

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  • Rasyad A. Parinduri & Yohanes E. Riyanto, 2009. "Banks' Types of Ownership and Efficiency: Evidence from Indonesia," NUBS Malaysia Campus Research Paper Series 2009-04, Nottingham University Business School Malaysia Campus.
    • Handle: RePEc:nom:nubsmc:2009-04
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    2. Md. Harun Ur Rashid & Shah Asadullah Mohd. Zobair & Md. Asad Iqbal Chowdhury & Azharul Islam, 2020. "Corporate governance and banks’ productivity: evidence from the banking industry in Bangladesh," Business Research, Springer;German Academic Association for Business Research, vol. 13(2), pages 615-637, July.
    3. Riyanka Baral & Debasis Patnaik, 2023. "Bank efficiency and governance: Evidence from Indian banking," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(3), pages 957-985, September.
    4. Hasanul Banna & Syed Karim Bux Shah & Abu Hanifa Md Noman & Rubi Ahmad & Muhammad Mehedi Masud, 2019. "Determinants of Sino-ASEAN Banking Efficiency: How Do Countries Differ?," Economies, MDPI, vol. 7(1), pages 1-23, February.
    5. Yuhua Li & Konari Uchida & Tongsheng Xu & Zhaoyang Wu, 2016. "The Impact of Foreign Entry on Chinese Banks," Review of Development Economics, Wiley Blackwell, vol. 20(1), pages 74-86, February.
    6. Diarra, Lacina, 2020. "Rural off-farm employment and agricultural production efficiency: evidence from Tazania," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304600, Agricultural and Applied Economics Association.
    7. Mutarindwa, Samuel & Siraj, Ibrahim & Stephan, Andreas, 2021. "Ownership and bank efficiency in Africa: True fixed effects stochastic frontier analysis," Journal of Financial Stability, Elsevier, vol. 54(C).
    8. Gavilan, José M. & Ortega, Francisco J., 2020. "Productive efficiency analysis of quantitative economics journals through Stochastic Frontier Analysis using panel data || Análisis de eficiencia productiva de revistas de economía cuantitativa a través del análisis de frontera estocástica utilizando," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 30(1), pages 297-311, December.

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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