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The sources of bank productivity growth in China during 2002–2009: A disaggregation view

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  1. Gerhardus Van Der Westhuizen, 2012. "Estimating Productivity Change in South African Banks: Decomposing Productity Index Numbers," Ekonomia, Cyprus Economic Society and University of Cyprus, vol. 13(2-1), pages 65-86, Winter-Su.
  2. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.
  3. Tai-Hsin Huang & Yi-Huang Chiu & Chih-Ying Mao, 2021. "Imposing Regularity Conditions to Measure Banks’ Productivity Changes in Taiwan Using a Stochastic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 273-303, June.
  4. 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.
  5. Dong He & Honglin Wang, 2013. "Monetary Policy and Bank Lending in China - Evidence from Loan-Level Data," Working Papers 162013, Hong Kong Institute for Monetary Research.
  6. 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.
  7. Xiaohong Liu & Jiasen Sun & Feng Yang & Jie Wu, 2020. "How ownership structure affects bank deposits and loan efficiencies: an empirical analysis of Chinese commercial banks," Annals of Operations Research, Springer, vol. 290(1), pages 983-1008, July.
  8. Yuan, Kaibin & Li, Wanli & Zhang, Weijun, 2023. "Your next bank is not necessarily a bank: FinTech expansion and bank branch closures," Economics Letters, Elsevier, vol. 222(C).
  9. Hao, Xiangchao & Shi, Jing & Yang, Jian, 2014. "The differential impact of the bank–firm relationship on IPO underpricing: evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 207-232.
  10. Andrea Fracasso, 2015. "Economic Rebalancing and Growth: the Japanese experience and China’s prospects," DEM Discussion Papers 2015/07, Department of Economics and Management.
  11. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.
  12. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "Input-Specific Dynamic Productivity Change: Measurement and Application to European Dairy Manufacturing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 579-599, June.
  13. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
  14. Abreu, Emmanuel Sousa de & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2019. "What is going on with studies on banking efficiency?," Research in International Business and Finance, Elsevier, vol. 47(C), pages 195-219.
  15. Alexakis, Christos & Izzeldin, Marwan & Johnes, Jill & Pappas, Vasileios, 2019. "Performance and productivity in Islamic and conventional banks: Evidence from the global financial crisis," Economic Modelling, Elsevier, vol. 79(C), pages 1-14.
  16. Chi‐Chuan Lee & Tai‐Hsin Huang, 2019. "What Causes The Efficiency And The Technology Gap Under Different Ownership Structures In The Chinese Banking Industry?," Contemporary Economic Policy, Western Economic Association International, vol. 37(2), pages 332-348, April.
  17. Tang, Liwei & Hu, Zongyi & Zhang, Yongjun, 2014. "基于非径向bml-Dea模型的中国地区工业环境绩效测度 [The measurement of regional industrial Environmental Performance——based on non-radial BML-DEA model]," MPRA Paper 55380, University Library of Munich, Germany.
  18. Chiu, Ching-Ren & Chiu, Yung-Ho & Chen, Yu-Chuan & Fang, Chen-Ling, 2016. "Exploring the source of metafrontier inefficiency for various bank types in the two-stage network system with undesirable output," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 1-13.
  19. Mihai Nitoi & Cristi Spulbar, 2016. "The Relationship between Bank Efficiency and Risk and Productivity Patterns in the Romanian Banking System," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 39-53, March.
  20. Juo, Jia-Ching & Fu, Tsu-Tan & Yu, Ming-Miin & Lin, Yu-Hui, 2016. "Non-radial profit performance: An application to Taiwanese banks," Omega, Elsevier, vol. 65(C), pages 111-121.
  21. Yan, Siqi & Peng, Jianchao & Wu, Qun, 2020. "Exploring the non-linear effects of city size on urban industrial land use efficiency: A spatial econometric analysis of cities in eastern China," Land Use Policy, Elsevier, vol. 99(C).
  22. Fredrik N. G. Andersson & Katarzyna Burzynska & Sonja Opper, 2016. "Lending for growth? A Granger causality analysis of China’s finance–growth nexus," Empirical Economics, Springer, vol. 51(3), pages 897-920, November.
  23. Magdalena Kapelko, 2018. "Measuring inefficiency for specific inputs using data envelopment analysis: evidence from construction industry in Spain and Portugal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 43-66, March.
  24. Abdel Latef Anouze & Imad Bou-Hamad, 2021. "Inefficiency source tracking: evidence from data envelopment analysis and random forests," Annals of Operations Research, Springer, vol. 306(1), pages 273-293, November.
  25. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
  26. Mansour, Rana & El Moussawi, Chawki, 2020. "Efficiency, technical progress and productivity of Arab banks: A non-parametric approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 191-208.
  27. You, Jing & Huang, Yongfu, 2013. "Green-to-Grey China: Determinants and Forecasts of its Green Growth," MPRA Paper 57468, University Library of Munich, Germany, revised 16 Jul 2014.
  28. Bing Xu & Adrian Van Rixtel & Michiel Van Leuvensteijn, 2013. "Measuring bank competition in China: a comparison of new versus conventional approaches applied to loan markets," BIS Working Papers 422, Bank for International Settlements.
  29. Wei Wei & Qiao Fan & Aijun Guo, 2022. "China’s Industrial TFPs at the Prefectural Level and the Law of Their Spatial–Temporal Evolution," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
  30. Shaohua Zhang & Tzu-Pu Chang & Li-Chuan Liao, 2020. "A Dual Challenge in China’s Sustainable Total Factor Productivity Growth," Sustainability, MDPI, vol. 12(13), pages 1-17, July.
  31. Xiaoxin Yang & Adriana Grigorescu, 2017. "Measuring economic spatial evolutional trend of Central and Eastern Europe by SDE method," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 11(3), September.
  32. Su, Hongwei & Liang, Biming, 2021. "The impact of regional market integration and economic opening up on environmental total factor energy productivity in Chinese provinces," Energy Policy, Elsevier, vol. 148(PA).
  33. Kok Fong See & Yong He, 2015. "Determinants of Technical Efficiency in Chinese Banking: A Double Bootstrap Data Envelopment Analysis Approach," Global Economic Review, Taylor & Francis Journals, vol. 44(3), pages 286-307, September.
  34. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
  35. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
  36. Degl'Innocenti, Marta & Kourtzidis, Stavros A. & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank productivity growth and convergence in the European Union during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 184-199.
  37. Nan Zhu & Wasi Ul Hassan Shah & Muhammad Abdul Kamal & Rizwana Yasmeen, 2021. "Efficiency and productivity analysis of Pakistan's banking industry: A DEA approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6362-6374, October.
  38. Hirofumi Fukuyama & Yong Tan, 2022. "Deconstructing three‐stage overall efficiency into input, output and stability efficiency components with consideration of market power and loan loss provision: An application to Chinese banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 953-974, January.
  39. Haiying Liu & Wenqi Guo & Yu Wang & Dianwu Wang, 2022. "Impact of Resource on Green Growth and Threshold Effect of International Trade Levels: Evidence from China," IJERPH, MDPI, vol. 19(5), pages 1-20, February.
  40. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
  41. 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.
  42. Chen, Xiang & Wang, Yujia & Wu, Xin, 2022. "Exploring the source of the financial performance in Chinese banks: A risk-adjusted decomposition approach," International Review of Financial Analysis, Elsevier, vol. 80(C).
  43. Pavlos Almanidis & Mustafa U. Karakaplan & Levent Kutlu, 2019. "A dynamic stochastic frontier model with threshold effects: U.S. bank size and efficiency," Journal of Productivity Analysis, Springer, vol. 52(1), pages 69-84, December.
  44. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  45. Yanni Huang & Sumei Luo & Guohu Xu & Guanyou Zhou, 2018. "Quantitative Analysis and Evaluation of Enterprise Group Financial Company Efficiency in China," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
  46. Lan-Bing Li & Cong-Cong Zhang & Jin-Li Hu & Ching-Ren Chiu, 2021. "Disaggregate productivity growth sources of regional industries in China," Empirical Economics, Springer, vol. 60(3), pages 1531-1557, March.
  47. Tai-Hsin Huang & Yi-Chun Lin & Kuo-Jui Huang & Yu-Wei Liao, 2022. "Comparing Cost Efficiency Between Financial and Non-financial Holding Banks and Insurers in Taiwan Under the Framework of Copula Methods and Metafrontier," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 735-766, December.
  48. hu, zongyi & tang, liwei & su, jin, 2013. "区域环境绩效测度及收敛性分析 [Regional eco-performance measure and its convergence]," MPRA Paper 60367, University Library of Munich, Germany.
  49. Li, Lan-bing & Liu, Bing-lian & Liu, Wei-lin & Chiu, Yung-Ho, 2017. "Efficiency evaluation of the regional high-tech industry in China: A new framework based on meta-frontier dynamic DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 24-33.
  50. Lin, Yu-Hui & Fu, Tsu-Tan & Chen, Chia-Li & Juo, Jia-Ching, 2017. "Non-radial cost Luenberger productivity indicator," European Journal of Operational Research, Elsevier, vol. 256(2), pages 629-639.
  51. Jorge Antunes & Abdollah Hadi-Vencheh & Ali Jamshidi & Yong Tan & Peter Wanke, 2022. "Bank efficiency estimation in China: DEA-RENNA approach," Annals of Operations Research, Springer, vol. 315(2), pages 1373-1398, August.
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