Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 241, Issue 3, Pages 907-916Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2014.09.021
Keywords
OR in banking; Regional finance; Financial efficiency; Dynamic stochastic frontier model; China
Funding
- National Natural Science Foundation of China [70901022, 71371057]
- Soft Science Research Plan Foundation of Shanghai [14692104800]
- Research Foundation of Shanghai Normal University [SK201248]
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Studies have widely used stochastic frontier models to assess financial efficiency; however, traditional static approaches do not take dynamic characteristics of financial systems into account. This article develops a dynamic stochastic frontier model to evaluate regional financial efficiency and provides an empirical test of the model by using panel data of 62 Chinese counties during the 2001-2010 period. The model measures the dynamic impact of the input-output variables and environmental variables on financial efficiency, and allows for the separation of technical change from the change in technical efficiency. The results show that the dynamic model provides a better fit to the data than the static model. In addition, a gradient difference emerges in the regional financial efficiency among the six major regions of China. The results offer practical implications for the development of regional financial services in China, as well as other developing countries and emerging economies. (C) 2014 Elsevier B.V. All rights reserved.
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