Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: application to the Chinese banking industry
From MaRDI portal
Publication:6167382
DOI10.1016/j.ejor.2022.09.028OpenAlexW4296982524MaRDI QIDQ6167382
Mike G. Tsionas, Yong Tan, Hirofumi Fukuyama
Publication date: 10 July 2023
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2022.09.028
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring the efficiency of decision making units
- Smoothly mixing regressions
- Estimation and inference in two-stage, semi-parametric models of production processes
- Data envelopment analysis, endogeneity and the quality frontier for public services
- Bayesian modeling of joint and conditional distributions
- Nerlovian revenue inefficiency in a bank production context: evidence from Shinkin banks
- Approximation of conditional densities by smooth mixtures of regressions
- Interactive construction of graphical decision models based on causal mechanisms
- Profit, directional distance functions, and Nerlovian efficiency
- Causal modeling alternatives in operations research: overview and application.
- An internally consistent approach to the estimation of market power and cost efficiency with an application to U.S. banking
- Fast Langevin based algorithm for MCMC in high dimensions
- Decomposing banking performance into economic and credit risk efficiencies
- Modelling bank performance: a network DEA approach
- Endogenous bank risk and efficiency
- Impact evaluation in a multi-input multi-output setting: evidence on the effect of additional resources for schools
- Bank efficiency estimation in China: DEA-RENNA approach
- How ownership structure affects bank deposits and loan efficiencies: an empirical analysis of Chinese commercial banks
- Shared and unsplittable performance links in network DEA
- Implementing strategic disposability for performance evaluation: innovation, stability, profitability and corporate social responsibility in Chinese banking
- Benefit and distance functions
- Stochastic data envelopment analysis in measuring the efficiency of Taiwan commercial banks
- Dynamic effects in inefficiency: evidence from the Colombian banking sector
- Computing Bayes Factors by Combining Simulation and Asymptotic Approximations
- Double/debiased machine learning for treatment and structural parameters
- The Blessings of Multiple Causes
- Invariant Causal Prediction for Sequential Data
This page was built for publication: Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: application to the Chinese banking industry