网络模型中的生产率增长:金融危机期间在银行业的应用

Productivity growth in network models: An application to banking during the financial crisis

Journal of the Operational Research Society · 2018
被引 14
ABS 3

中文导读

构建了两阶段过程的Malmquist生产率指数,使用带权重保证区域模型的两阶段DEA,分析中欧和东欧银行在金融危机期间的生产率变化及其收敛模式。

Abstract

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 modelling 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.

生产率分析数据包络分析银行业金融危机Malmquist指数