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Data envelopment analysis, truncated regression and double-bootstrap for panel data with application to Chinese bankingAuthor-Name: Du, Kai

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  • Worthington, Andrew C.
  • Zelenyuk, Valentin

Abstract

We investigate the impact of earning asset diversification on Chinese bank efficiency from 2006 to 2011. We do this by adapting the current two-stage data envelopment analysis approach to a panel data setting so that we can account for technology change over time. Our Monte Carlo experiments illustrate the advantages and disadvantages of the proposed new algorithm over the conventional approach. When applied to Chinese banking data, the regression results reveal that increasing the asset share of other earning assets (including securities and derivatives) is positively associated with bank efficiency. Decreasing the share of nonearning assets in total assets or increasing total equity has a similar impact. Our results also suggest that financial reforms currently being undertaken in China, including removing the regulatory requirement concerning the ratio of loans to deposits (a draft amendment to the existing commercial banking law) and interest rate liberalization (a proposed draft amendment), are likely to have a positive effect on bank efficiency in China.

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  • Worthington, Andrew C. & Zelenyuk, Valentin, 2018. "Data envelopment analysis, truncated regression and double-bootstrap for panel data with application to Chinese bankingAuthor-Name: Du, Kai," European Journal of Operational Research, Elsevier, vol. 265(2), pages 748-764.
    • Handle: RePEc:eee:ejores:v:265:y:2018:i:2:p:748-764
    DOI: 10.1016/j.ejor.2017.08.005
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    as
    1. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2006. "The impact of macroeconomic and regulatory factors on bank efficiency: A non-parametric analysis of Hong Kong's banking system," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1443-1466, May.
    2. Alois Kneip & Léopold Simar & Paul W. Wilson, 2016. "Testing Hypotheses in Nonparametric Models of Production," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 435-456, July.
    3. Léopold Simar & Valentin Zelenyuk, 2011. "Stochastic FDH/DEA estimators for frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(1), pages 1-20, August.
    4. Berger, Allen N. & Mester, Loretta J., 2003. "Explaining the dramatic changes in performance of US banks: technological change, deregulation, and dynamic changes in competition," Journal of Financial Intermediation, Elsevier, vol. 12(1), pages 57-95, January.
    5. Curi, Claudia & Lozano-Vivas, Ana & Zelenyuk, Valentin, 2015. "Foreign bank diversification and efficiency prior to and during the financial crisis: Does one business model fit all?," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 22-35.
    6. Li, Shanling & Liu, Feng & Liu, Suge & Whitmore, G. A., 2001. "Comparative Performance of Chinese Commercial Banks: Analysis, Findings and Policy Implications," Review of Quantitative Finance and Accounting, Springer, vol. 16(2), pages 149-170, March.
    7. Matousek, Roman & Tzeremes, Nickolaos G., 2016. "CEO compensation and bank efficiency: An application of conditional nonparametric frontiers," European Journal of Operational Research, Elsevier, vol. 251(1), pages 264-273.
    8. Lozano-Vivas, Ana & Pasiouras, Fotios, 2010. "The impact of non-traditional activities on the estimation of bank efficiency: International evidence," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1436-1449, July.
    9. Wade D. Cook & Joe Zhu, 2008. "CAR-DEA: Context-Dependent Assurance Regions in DEA," Operations Research, INFORMS, vol. 56(1), pages 69-78, February.
    10. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2012. "How to measure the impact of environmental factors in a nonparametric production model," European Journal of Operational Research, Elsevier, vol. 223(3), pages 818-833.
    11. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    12. repec:zbw:bofitp:2010_004 is not listed on IDEAS
    13. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    14. Léopold Simar & Ingrid Keilegom & Valentin Zelenyuk, 2017. "Nonparametric least squares methods for stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 47(3), pages 189-204, June.
    15. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2009. "Bank modelling methodologies: A comparative non-parametric analysis of efficiency in the Japanese banking sector," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 1-15, February.
    16. 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.
    17. 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.
    18. Tzeremes, Nickolaos G., 2015. "Efficiency dynamics in Indian banking: A conditional directional distance approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 807-818.
    19. Yuhong Yang, 2005. "Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation," Biometrika, Biometrika Trust, vol. 92(4), pages 937-950, December.
    20. Daraio, Cinzia & Simar, Léopold, 2014. "Directional distances and their robust versions: Computational and testing issues," European Journal of Operational Research, Elsevier, vol. 237(1), pages 358-369.
    21. Camilla Mastromarco & Léopold Simar, 2015. "Effect of FDI and Time on Catching Up: New Insights from a Conditional Nonparametric Frontier Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 826-847, August.
    22. García-Herrero, Alicia & Gavilá, Sergio & Santabárbara, Daniel, 2009. "What explains the low profitability of Chinese banks?," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2080-2092, November.
    23. Byeong Park & Léopold Simar & Valentin Zelenyuk, 2015. "Categorical data in local maximum likelihood: theory and applications to productivity analysis," Journal of Productivity Analysis, Springer, vol. 43(2), pages 199-214, April.
    24. Avkiran, Necmi Kemal, 2015. "An illustration of dynamic network DEA in commercial banking including robustness tests," Omega, Elsevier, vol. 55(C), pages 141-150.
    25. 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.
    26. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2010. "The effects of focus versus diversification on bank performance: Evidence from Chinese banks," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1417-1435, July.
    27. Badin, Luiza & Daraio, Cinzia & Simar, Léopold, 2010. "Optimal bandwidth selection for conditional efficiency measures: A data-driven approach," European Journal of Operational Research, Elsevier, vol. 201(2), pages 633-640, March.
    28. Schaper, Philipp, 2017. "Under pressure: how the business environment affects productivity and efficiency of European life insurance companiesAuthor-Name: Eling, Martin," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1082-1094.
    29. Wade D. Cook & Joe Zhu, 2006. "Incorporating Multiprocess Performance Standards into the DEA Framework," Operations Research, INFORMS, vol. 54(4), pages 656-665, August.
    30. Natalya Zelenyuk & Valentin Zelenyuk, 2015. "Productivity Drivers of Efficiency in Banking: Importance of Model Specifications," CEPA Working Papers Series WP082015, School of Economics, University of Queensland, Australia.
    31. Isik, Ihsan & Hassan, M. Kabir, 2002. "Technical, scale and allocative efficiencies of Turkish banking industry," Journal of Banking & Finance, Elsevier, vol. 26(4), pages 719-766, April.
    32. Ariff, Mohamed & Can, Luc, 2008. "Cost and profit efficiency of Chinese banks: A non-parametric analysis," China Economic Review, Elsevier, vol. 19(2), pages 260-273, June.
    33. Elsas, Ralf & Hackethal, Andreas & Holzhäuser, Markus, 2010. "The anatomy of bank diversification," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1274-1287, June.
    34. Kneip, Alois & Simar, Léopold & Wilson, Paul W., 2015. "When Bias Kills The Variance: Central Limit Theorems For Dea And Fdh Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 31(2), pages 394-422, April.
    35. Shelagh Heffernan & Xiaoqing Fu, 2010. "Determinants of financial performance in Chinese banking," Applied Financial Economics, Taylor & Francis Journals, vol. 20(20), pages 1585-1600.
    36. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    37. 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).
    38. Berger, Allen N. & Demsetz, Rebecca S. & Strahan, Philip E., 1999. "The consolidation of the financial services industry: Causes, consequences, and implications for the future," Journal of Banking & Finance, Elsevier, vol. 23(2-4), pages 135-194, February.
    39. 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.
    40. Manthos D. Delis & Philip Molyneux & Fotios Pasiouras, 2011. "Regulations and Productivity Growth in Banking: Evidence from Transition Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(4), pages 735-764, June.
    41. Kumbhakar, Subal C. & Park, Byeong U. & Simar, Leopold & Tsionas, Efthymios G., 2007. "Nonparametric stochastic frontiers: A local maximum likelihood approach," Journal of Econometrics, Elsevier, vol. 137(1), pages 1-27, March.
    42. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    43. 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.
    44. Berger, Allen N. & Hunter, William C. & Timme, Stephen G., 1993. "The efficiency of financial institutions: A review and preview of research past, present and future," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 221-249, April.
    45. Valentin Zelenyuk & Vitaliy Zheka, 2006. "Corporate Governance and Firm’s Efficiency: The Case of a Transitional Country, Ukraine," Journal of Productivity Analysis, Springer, vol. 25(1), pages 143-157, April.
    46. Fabio Panetta & Dario Focarelli, 2003. "Are Mergers Beneficial to Consumers? Evidence from the Italian Market for Bank Deposits," CEIS Research Paper 10, Tor Vergata University, CEIS.
    47. Santomero, Anthony M, 1984. "Modeling the Banking Firm: A Survey," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 16(4), pages 576-602, November.
    48. Dario Focarelli & Fabio Panetta, 2003. "Are Mergers Beneficial to Consumers? Evidence from the Market for Bank Deposits," American Economic Review, American Economic Association, vol. 93(4), pages 1152-1172, September.
    49. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    50. Koutsomanoli-Filippaki, Anastasia & Margaritis, Dimitris & Staikouras, Christos, 2009. "Efficiency and productivity growth in the banking industry of Central and Eastern Europe," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 557-567, March.
    51. 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.
    52. Du, Kai & Sim, Nicholas, 2016. "Mergers, acquisitions, and bank efficiency: Cross-country evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 499-510.
    53. Clark, Jeffrey A & Siems, Thomas F, 2002. "X-Efficiency in Banking: Looking beyond the Balance Sheet," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(4), pages 987-1013, November.
    54. Biener, Christian & Eling, Martin & Wirfs, Jan Hendrik, 2016. "The determinants of efficiency and productivity in the Swiss insurance industry," European Journal of Operational Research, Elsevier, vol. 248(2), pages 703-714.
    55. Joe Zhu, 2004. "Imprecise DEA via Standard Linear DEA Models with a Revisit to a Korean Mobile Telecommunication Company," Operations Research, INFORMS, vol. 52(2), pages 323-329, April.
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