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What factor contributes to productivity growth of Chinese city banks: The role of regional difference
Institution:1. Department of Financial Engineering and Actuarial Mathematics, Soochow University, Taipei 10048, Taiwan;2. College of Management, Yuan Ze University, Taoyuan 32003, Taiwan;3. Department of Quantitative Finance, National Tsing Hua University, Hsinchu 30010, Taiwan;1. Chulalongkorn University, Sasin Graduate Institute of Business Administration, Bangkok, Thailand;2. Chulalongkorn University, College of Population Studies, Bangkok, Thailand;3. Pennsylvania State University, School of Graduate Professional Studies, Malvern, PA, USA;1. School of Finance, Southwestern University of Finance and Economics, Chengdu, Sichuan, PR China;2. School of Economics and Management, Southwest Jiaotong University, Chengdu, Sichuan, PR China;1. Research Department, Hong Kong Monetary Authority, 55/F, Two International Finance Centre, 8 Finance Street, Central, Hong Kong, China;2. Institute of Theoretical Physics and Department of Physics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China;1. Western Kentucky University, Bowling Green KY42101, USA;2. Utah Valley University, Orem, UT 84058, USA;3. Indiana Business Research Center, Indiana University, Bloomington, IN 47405, USA
Abstract:This study pays more attentions to investigate the performance of Chinese city banks, which can make up the blanks large banks left in the financing market, further improving local economic development. The study modifies the profit productivity indicator of Juo et al. (2015) under the short-run assumption to measure the profit productivity and its components. Our study finds that there exists a significant difference among banks by regions, and the eastern regional city banks have a best profit efficiency, but decline more than the others. The decomposed component, price effect, plays a most important role to explain the profit productivity change.
Keywords:Profit productivity  Short-run  Chinese city bank  Regional variation  Decomposition  D20  G21  P34
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