Corporate social behaviour: Is it good for efficiency in the Chinese banking industry?
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DOI: 10.1007/s10479-021-03995-4
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Cited by:
- Ming-Chung Chang & Chiang-Ping Chen & Chien-Cheng Lin & Yu-Ming Xu, 2022. "The Overall and Disaggregate China’s Bank Efficiency from Sustainable Business Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
- 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.
- Cao, Qiang & Zhu, Tingting & Yu, Wenmei, 2024. "ESG investment and bank efficiency: Evidence from China," Energy Economics, Elsevier, vol. 133(C).
- 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.
- 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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