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Estimation and determinants of Chinese banks’ total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk

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  • Shiyi Chen

    (Fudan University)

  • Wolfgang K. Härdle

    (Humboldt-Universität zu Berlin
    Singapore Management University
    Charles University)

  • Li Wang

    (East China Normal University)

Abstract

The paper estimates banks’ total factor efficiency (TFE) as well as TFE of each production factor by incorporating banks’ overall risk endogenously into bank’s production process as undesirable by-product in a Global-SMB Model. Our results show that, compared with a model incorporated with banks’ overall risk, a model considering only on-balance-sheet risk may over-estimate the integrated TFE (TFIE) and under-estimate TFE volatility. Significant heterogeneities of bank TFIE and TFE of each production factor exist among banks of different types and regions, as a result of still prominent unbalanced development of Chinese commercial banks. Based on the estimated TFIE, the paper further investigates the determinants of bank efficiency, and finds that shadow banking, bank size, NPL ratio, loan to deposit ratio, fiscal surplus to GDP ratio and banking sector concentration are significant determinants of bank efficiency. Besides, a model with risk-weighted assets as undesirable outputs can better capture the impact of shadow banking involvement.

Suggested Citation

  • Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2020. "Estimation and determinants of Chinese banks’ total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk," Computational Statistics, Springer, vol. 35(2), pages 427-468, June.
    • Handle: RePEc:spr:compst:v:35:y:2020:i:2:d:10.1007_s00180-019-00951-6
    DOI: 10.1007/s00180-019-00951-6
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    1. Fungáčová, Zuzana & Pessarossi, Pierre & Weill, Laurent, 2013. "Is bank competition detrimental to efficiency? Evidence from China," China Economic Review, Elsevier, vol. 27(C), pages 121-134.
    2. Fernandez C. & Koop G. & Steel M.F.J., 2002. "Multiple-Output Production With Undesirable Outputs: An Application to Nitrogen Surplus in Agriculture," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 432-442, June.
    3. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency: Some clarifications," European Journal of Operational Research, Elsevier, vol. 206(3), pages 702-702, November.
    4. Atkinson, Scott E. & Dorfman, Jeffrey H., 2005. "Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution," Journal of Econometrics, Elsevier, vol. 126(2), pages 445-468, June.
    5. Cyree, Ken B. & Spurlin, W. Paul, 2012. "The effects of big-bank presence on the profit efficiency of small banks in rural markets," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2593-2603.
    6. Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    7. Saeed, Momna & Izzeldin, Marwan, 2016. "Examining the relationship between default risk and efficiency in Islamic and conventional banks," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 127-154.
    8. Cornett, Marcia Millon & Guo, Lin & Khaksari, Shahriar & Tehranian, Hassan, 2010. "The impact of state ownership on performance differences in privately-owned versus state-owned banks: An international comparison," Journal of Financial Intermediation, Elsevier, vol. 19(1), pages 74-94, January.
    9. Park, Kang H. & Weber, William L., 2006. "A note on efficiency and productivity growth in the Korean Banking Industry, 1992-2002," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2371-2386, August.
    10. Holod, Dmytro & Lewis, Herbert F., 2011. "Resolving the deposit dilemma: A new DEA bank efficiency model," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2801-2810, November.
    11. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    12. Zhang, Jianhua & Wang, Peng & Qu, Baozhi, 2012. "Bank risk taking, efficiency, and law enforcement: Evidence from Chinese city commercial banks," China Economic Review, Elsevier, vol. 23(2), pages 284-295.
    13. Alicia García-Herrero & Sergio Gavilá & Daniel Santabárbara, 2006. "China's Banking Reform: An Assessment of its Evolution and Possible Impact," CESifo Economic Studies, CESifo Group, vol. 52(2), pages 304-363, June.
    14. Liang, Qi & Xu, Pisun & Jiraporn, Pornsit, 2013. "Board characteristics and Chinese bank performance," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2953-2968.
    15. Rafael La Porta & Florencio Lopez‐De‐Silanes & Andrei Shleifer, 2002. "Government Ownership of Banks," Journal of Finance, American Finance Association, vol. 57(1), pages 265-301, February.
    16. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.
    17. repec:bla:scandj:v:94:y:1992:i:0:p:s211-28 is not listed on IDEAS
    18. Duygun, Meryem & Sena, Vania & Shaban, Mohamed, 2013. "Schumpeterian competition and efficiency among commercial banks," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5176-5185.
    19. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    20. Yung-Ho Chiu & Yu-Chuan Chen & Xue-Jie Bai, 2011. "Efficiency and risk in Taiwan banking: SBM super-DEA estimation," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 587-602.
    21. Brandao-Marques, L. & Correa, R. & Sapriza, H., 2012. "International Evidence on Government Support and Risk-Taking in the Banking Sector," Other publications TiSEM 4a9756af-eb63-4867-ae29-3, Tilburg University, School of Economics and Management.
    22. Shujie Yao & Zhongwei Han & Genfu Feng, 2008. "Ownership Reform, Foreign Competition, and Efficiency of Chinese Commercial Banks: A Non-Parametric Approach," WIDER Working Paper Series RP2008-38, World Institute for Development Economic Research (UNU-WIDER).
    23. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1658-1668.
    24. Dima, Bogdan & Dincă, Marius Sorin & Spulbăr, Cristi, 2014. "Financial nexus: Efficiency and soundness in banking and capital markets," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 100-124.
    25. Guonan Ma, 2007. "Who Pays China's Bank Restructuring Bill?," Asian Economic Papers, MIT Press, vol. 6(1), pages 46-71, Winter.
    26. Sun, Jianjun & Harimaya, Kozo & Yamori, Nobuyoshi, 2013. "Regional economic development, strategic investors, and efficiency of Chinese city commercial banks," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1602-1611.
    27. Anca Pruteanu-Podpiera & Franziska Schobert & Laurent Weill, 2008. "Banking competition and cost efficiency: a micro-data analysis on the Czech banking industry," ULB Institutional Repository 2013/14307, ULB -- Universite Libre de Bruxelles.
    28. Tabak, Benjamin M. & Miranda, Rogério Boueri & Fazio, Dimas M., 2013. "A geographically weighted approach to measuring efficiency in panel data: The case of US saving banks," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3747-3756.
    29. Anca Pruteanu-Podpiera & Laurent Weill & Franziska Schobert, 2008. "Banking Competition and Efficiency: A Micro-Data Analysis on the Czech Banking Industry," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 50(2), pages 253-273, June.
    30. Shujie Yao & Zhongwei Han & Genfu Feng, 2008. "Ownership Reform, Foreign Competition and Efficiency of Chinese Commercial Banks: A Non‐parametric Approach," The World Economy, Wiley Blackwell, vol. 31(10), pages 1310-1326, October.
    31. Asli Demirguk-Kunt & Thorsten Beck & Ouarda Merrouche, 2013. "Islamic Banking versus Conventional Banking: Business model, Efficiency, and Stability," Post-Print hal-01638080, HAL.
    32. Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao & Desheng Dash Wu & Cuicui Luo & Haofei Wang & John R. Birge, 2016. "Bi-level Programing Merger Evaluation and Application to Banking Operations," Production and Operations Management, Production and Operations Management Society, vol. 25(3), pages 498-515, March.
    33. Shiyi Chen & Shujian Zhang, 2014. "Large-Scale Land Use for Construction and Energy Consumption after the New Millennium with Their Impact on Total-Factor Efficiency Change in China’s Regional Economy," Energies, MDPI, vol. 7(4), pages 1-18, March.
    34. Jeffry M. Netter & William L. Megginson, 2001. "From State to Market: A Survey of Empirical Studies on Privatization," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 321-389, June.
    35. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    36. Chiu, Yung-ho & Luo, Zhengying & Chen, Yu-Chuan & Wang, Zebin & Tsai, Min-Pei, 2013. "A comparison of operating performance management between Taiwan banks and foreign banks based on the Meta-Hybrid DEA model," Economic Modelling, Elsevier, vol. 33(C), pages 433-439.
    37. Chortareas, Georgios E. & Girardone, Claudia & Ventouri, Alexia, 2013. "Financial freedom and bank efficiency: Evidence from the European Union," Journal of Banking & Finance, Elsevier, vol. 37(4), pages 1223-1231.
    38. Barth, James R. & Lin, Chen & Ma, Yue & Seade, Jesús & Song, Frank M., 2013. "Do bank regulation, supervision and monitoring enhance or impede bank efficiency?," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2879-2892.
    39. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    40. Lin, Tzu-Yu & Chiu, Sheng-Hsiung, 2013. "Using independent component analysis and network DEA to improve bank performance evaluation," Economic Modelling, Elsevier, vol. 32(C), pages 608-616.
    41. Gaganis, Chrysovalantis & Pasiouras, Fotios, 2013. "Financial supervision regimes and bank efficiency: International evidence," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5463-5475.
    42. Lensink, Robert & Meesters, Aljar & Naaborg, Ilko, 2008. "Bank efficiency and foreign ownership: Do good institutions matter?," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 834-844, May.
    43. Goddard, John & Molyneux, Philip & Williams, Jonathan, 2014. "Dealing with cross-firm heterogeneity in bank efficiency estimates: Some evidence from Latin America," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 130-142.
    44. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    45. Chen, Ku-Hsieh, 2012. "Incorporating risk input into the analysis of bank productivity: Application to the Taiwanese banking industry," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1911-1927.
    46. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    47. Yin, Haiyan & Yang, Jiawen & Mehran, Jamshid, 2013. "An empirical study of bank efficiency in China after WTO accession," Global Finance Journal, Elsevier, vol. 24(2), pages 153-170.
    48. Beck, Thorsten & Demirgüç-Kunt, Asli & Merrouche, Ouarda, 2013. "Islamic vs. conventional banking: Business model, efficiency and stability," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 433-447.
    49. Hou, Xiaohui & Wang, Qing & Zhang, Qi, 2014. "Market structure, risk taking, and the efficiency of Chinese commercial banks," Emerging Markets Review, Elsevier, vol. 20(C), pages 75-88.
    50. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    51. Hsiao, Hsing-Chin & Chang, Hsihui & Cianci, Anna M. & Huang, Li-Hua, 2010. "First Financial Restructuring and operating efficiency: Evidence from Taiwanese commercial banks," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1461-1471, July.
    52. Lin, Xiaochi & Zhang, Yi, 2009. "Bank ownership reform and bank performance in China," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 20-29, January.
    53. Sun, Lei & Chang, Tzu-Pu, 2011. "A comprehensive analysis of the effects of risk measures on bank efficiency: Evidence from emerging Asian countries," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1727-1735, July.
    54. Jiang, Chunxia & Yao, Shujie & Feng, Genfu, 2013. "Bank ownership, privatization, and performance: Evidence from a transition country," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3364-3372.
    55. Chang, Tzu-Pu & Hu, Jin-Li & Chou, Ray Yeutien & Sun, Lei, 2012. "The sources of bank productivity growth in China during 2002–2009: A disaggregation view," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1997-2006.
    56. Harris, Oneil & Huerta, Daniel & Ngo, Thanh, 2013. "The impact of TARP on bank efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 85-104.
    57. Maudos, Joaquin & de Guevara, Juan Fernandez, 2007. "The cost of market power in banking: Social welfare loss vs. cost inefficiency," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2103-2125, July.
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    Keywords

    Nonparametric methods; Commercial banks; Shadow bank; Financial risk;
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    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General

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