Stavros A Kourtzidis
Productivity growth in network models: an application to banking during the financial crisis
Kourtzidis, Stavros A; Matousek, Roman; Tzeremes, Nickolaos G.
Nickolaos G. Tzeremes
We construct Malmquist Productivity indices for two-stage processes. A two-stage data envelopment analysis model with an additive efficiency decomposition is used for the modeling of the two-stage process. We incorporate prior information into the analysis using the Weight Assurance Region model. This model offers advantages such as the weights representing the contribution of each stage to the overall process are always positive and we also can restrict them into a region given the available prior information. We extend this model from efficiency analysis to productivity analysis and we calculate Malmquist Productivity indices using four alternative decomposition approaches. The model is applied to a panel of banks in Central and Eastern European countries and productivity change is evaluated for three periods of the financial crisis. The alternative decompositions allow us to examine the various sources of productivity change during the financial crisis. Convergence patterns are also examined.
|Journal Article Type||Article|
|Publication Date||Feb 7, 2018|
|Publisher||Taylor & Francis|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Kourtzidis, S. A., Matousek, R., & Tzeremes, N. G. (2018). Productivity growth in network models: an application to banking during the financial crisis. Journal of the Operational Research Society,|
|Keywords||Data envelopment analysis; two-stage; productivity growth; transition economies; banking efficiency|
Productivity growth in network models: An application to banking during the financial crisis
You might also like
Nerlovian revenue inefficiency in a bank production context: evidence from Shinkin banks
Bank efficiency and financial centres: Does geographical location matter?
What is the impact of bankrupt and restructured loans on Japanese bank efficiency?
The performance of US equity mutual funds