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Corporate social behaviour: Is it good for efficiency in the Chinese banking industry?

Author

Listed:
  • Hirofumi Fukuyama

    (Fukuoka University)

  • Yong Tan

    (University of Huddersfield)

Abstract

We develop an output-oriented data envelopment analysis framework to examine the efficiency of Chinese banks over the period 2007–2017 and further test the relationship between efficiency and corporate social responsibility (CSR). We are the first piece of research considering the number of employees as one bank input and potential increase in the number of employees as one CSR indicator. Additionally, we innovatively propose another three specific CSR indicators: namely donation, balance of green credits and loans to small and medium sized enterprises. The results show that the gain from improving allocative output-efficiency by reallocating variable inputs is less than the gain attained by improving technical output-efficiency. Evidence from the second-stage regression analysis shows that the overall indirect technical efficiency is significantly and negatively affected by the volumes of green credits, while an increase in the volumes of donations will improve the indirect allocative efficiency.

Suggested Citation

  • Hirofumi Fukuyama & Yong Tan, 2021. "Corporate social behaviour: Is it good for efficiency in the Chinese banking industry?," Annals of Operations Research, Springer, vol. 306(1), pages 383-413, November.
    • Handle: RePEc:spr:annopr:v:306:y:2021:i:1:d:10.1007_s10479-021-03995-4
    DOI: 10.1007/s10479-021-03995-4
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    as
    1. David Adeabah & Charles Andoh, 2020. "Cost efficiency and welfare performance of banks: evidence from an emerging economy," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 16(5), pages 549-574, July.
    2. Xiao Shi & Yongjun Li & Ali Emrouznejad & Jianhui Xie & Liang Liang, 2017. "Estimation of potential gains from bank mergers: A novel two-stage cost efficiency DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1045-1055, September.
    3. Malcolm Baker & Daniel Bergstresser & George Serafeim & Jeffrey Wurgler, 2018. "Financing the Response to Climate Change: The Pricing and Ownership of U.S. Green Bonds," NBER Working Papers 25194, National Bureau of Economic Research, Inc.
    4. Fukuyama, Hirofumi & Guerra, Ramon & Weber, William L., 1999. "Efficiency and ownership: evidence from Japanese credit cooperatives," Journal of Economics and Business, Elsevier, vol. 51(6), pages 473-487.
    5. Maria-Gaia Soana, 2011. "The Relationship Between Corporate Social Performance and Corporate Financial Performance in the Banking Sector," Journal of Business Ethics, Springer, vol. 104(1), pages 133-148, November.
    6. 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.
    7. Elena Platonova & Mehmet Asutay & Rob Dixon & Sabri Mohammad, 2018. "The Impact of Corporate Social Responsibility Disclosure on Financial Performance: Evidence from the GCC Islamic Banking Sector," Journal of Business Ethics, Springer, vol. 151(2), pages 451-471, August.
    8. Qingxian An & Haoxun Chen & Jie Wu & Liang Liang, 2015. "Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output," Annals of Operations Research, Springer, vol. 235(1), pages 13-35, December.
    9. Ioannis Oikonomou & Chris Brooks & Stephen Pavelin, 2012. "The Impact of Corporate Social Performance on Financial Risk and Utility: A Longitudinal Analysis," Financial Management, Financial Management Association International, vol. 41(2), pages 483-515, June.
    10. Ole B. Olesen & Niels Chr. Petersen, 2015. "Facet Analysis in Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 6, pages 145-190, Springer.
    11. Tan, Yong & Floros, Christos, 2013. "Risk, capital and efficiency in Chinese banking," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 378-393.
    12. Tan, Yong & Floros, Christos, 2018. "Risk, competition and efficiency in banking: Evidence from China," Global Finance Journal, Elsevier, vol. 35(C), pages 223-236.
    13. Bert Scholtens, 2009. "Corporate Social Responsibility in the International Banking Industry," Journal of Business Ethics, Springer, vol. 86(2), pages 159-175, May.
    14. Simon Kwan & Robert Eisenbeis, 1997. "Bank Risk, Capitalization, and Operating Efficiency," Journal of Financial Services Research, Springer;Western Finance Association, vol. 12(2), pages 117-131, October.
    15. W. Briec & K. Kerstens, 2009. "Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator," Journal of Optimization Theory and Applications, Springer, vol. 141(1), pages 55-73, April.
    16. Canan Yildirim, 2002. "Evolution of banking efficiency within an unstable macroeconomic environment: the case of Turkish commercial banks," Applied Economics, Taylor & Francis Journals, vol. 34(18), pages 2289-2301.
    17. Maria Jua Bachelet & Leonardo Becchetti & Stefano Manfredonia, 2019. "The Green Bonds Premium Puzzle: The Role of Issuer Characteristics and Third-Party Verification," Sustainability, MDPI, vol. 11(4), pages 1-22, February.
    18. Tan, Yong, 2017. "The impacts of competition and shadow banking on profitability: Evidence from the Chinese banking industry," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 89-106.
    19. 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.
    20. Xiao Shi & Yongjun Li & Ali Emrouznejad & Jianhui Xie & Liang Liang, 2017. "Erratum to: Estimation of potential gains from bank mergers: A novel two-stage cost efficiency DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 983-983, August.
    21. 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.
    22. Asmild, Mette & Matthews, Kent, 2012. "Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997–2008," European Journal of Operational Research, Elsevier, vol. 219(2), pages 434-441.
    23. Fu, Tsu-Tan & Juo, Jia-Ching & Chiang, Han-Chin & Yu, Ming-Miin & Huang, Mei-ying, 2016. "Risk-based decompositions of the meta profit efficiency of Taiwanese and Chinese banks," Omega, Elsevier, vol. 62(C), pages 34-46.
    24. Georgios E. Chortareas & Claudia Girardone & Alexia Ventouri, 2011. "Financial Frictions, Bank Efficiency and Risk: Evidence from the Eurozone," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(1-2), pages 259-287, January.
    25. Rui Albuquerque & Yrjö Koskinen & Chendi Zhang, 2019. "Corporate Social Responsibility and Firm Risk: Theory and Empirical Evidence," Management Science, INFORMS, vol. 65(10), pages 4451-4469, October.
    26. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor & William L. Weber, 1997. "Budget-Constrained Frontier Measures Of Fiscal Equality And Efficiency In Schooling," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 116-124, February.
    27. 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.
    28. Hirofumi Fukuyama & William L. Weber, 2017. "Measuring bank performance with a dynamic network Luenberger indicator," Annals of Operations Research, Springer, vol. 250(1), pages 85-104, March.
    29. Tan, Yong, 2016. "The impacts of risk and competition on bank profitability in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 85-110.
    30. Candace Partridge & Francesca Romana Medda, 2020. "The evolution of pricing performance of green municipal bonds," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 10(1), pages 44-64, January.
    31. Dong, Yizhe & Firth, Michael & Hou, Wenxuan & Yang, Weiwei, 2016. "Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 280-295.
    32. Nicolás Gambetta & María Antonia García-Benau & Ana Zorio-Grima, 2017. "Corporate social responsibility and bank risk profile: evidence from Europe," Service Business, Springer;Pan-Pacific Business Association, vol. 11(3), pages 517-542, September.
    33. Fukuyama, Hirofumi & Sekitani, Kazuyuki, 2012. "Decomposing the efficient frontier of the DEA production possibility set into a smallest number of convex polyhedrons by mixed integer programming," European Journal of Operational Research, Elsevier, vol. 221(1), pages 165-174.
    34. Walter Briec & Hervé Leleu, 2003. "Dual Representations of Non-Parametric Technologies and Measurement of Technical Efficiency," Journal of Productivity Analysis, Springer, vol. 20(1), pages 71-96, July.
    35. Anyu Yu & Yilei Shao & Jianxin You & Maoguo Wu & Tao Xu, 2019. "Estimations of operational efficiencies and potential income gains considering the credit risk for China’s banks," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(12), pages 2153-2168, December.
    36. tone, Kaoru, 2010. "Variations on the theme of slacks-based measure of efficiency in DEA," European Journal of Operational Research, Elsevier, vol. 200(3), pages 901-907, February.
    37. Jamal Ouenniche & Skarleth Carrales, 2018. "Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback," Annals of Operations Research, Springer, vol. 266(1), pages 551-587, July.
    38. 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.
    39. O. B. Olesen & N. C. Petersen, 1996. "Indicators of Ill-Conditioned Data Sets and Model Misspecification in Data Envelopment Analysis: An Extended Facet Approach," Management Science, INFORMS, vol. 42(2), pages 205-219, February.
    40. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    41. Walter Briec & K. Kerstens, 2009. "Infeasibilities and directional distance functions: with application to the determinateness of the luenberger productivity indicator," Post-Print hal-00372560, HAL.
    42. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    43. Mei-Ying Huang & Tsu-Tan Fu, 2013. "An examination of the cost efficiency of banks in Taiwan and China using the metafrontier cost function," Journal of Productivity Analysis, Springer, vol. 40(3), pages 387-406, December.
    44. Avkiran, Necmi K. & Morita, Hiroshi, 2010. "Benchmarking firm performance from a multiple-stakeholder perspective with an application to Chinese banking," Omega, Elsevier, vol. 38(6), pages 501-508, December.
    45. Klaus Schaeck & Martin Cihák, 2014. "Competition, Efficiency, and Stability in Banking," Financial Management, Financial Management Association International, vol. 43(1), pages 215-241, March.
    46. Zha, Yong & Liang, Nannan & Wu, Maoguo & Bian, Yiwen, 2016. "Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach," Omega, Elsevier, vol. 60(C), pages 60-72.
    47. Ole Olesen & N. Petersen, 2003. "Identification and Use of Efficient Faces and Facets in DEA," Journal of Productivity Analysis, Springer, vol. 20(3), pages 323-360, November.
    48. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    49. 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.
    50. Hasan, Iftekhar & Marton, Katherin, 2003. "Development and efficiency of the banking sector in a transitional economy: Hungarian experience," Journal of Banking & Finance, Elsevier, vol. 27(12), pages 2249-2271, December.
    51. 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.
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    2. Valeria Fernanda Mesta-Cabrejos & Karla Stefanny Huertas-Vilca & Higinio Guillerno Wong-Aitken & Franklin Cordova-Buiza, 2023. "Corporate social responsibility in the banking sector: a focus on Latin America and the Caribbean," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-6, December.
    3. Amir Moradi-Motlagh & Ali Emrouznejad, 2022. "The origins and development of statistical approaches in non-parametric frontier models: a survey of the first two decades of scholarly literature (1998–2020)," Annals of Operations Research, Springer, vol. 318(1), pages 713-741, November.
    4. Hirofumi Fukuyama & Yong Tan, 2023. "Estimating market power under a nonparametric analysis: evidence from the Chinese real estate sector," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 599-622, June.

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    More about this item

    Keywords

    DEA; Chinese banks; Corporate social responsibility; Bank risk; Bootstrapped truncated regression;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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