- Efficiency Analysis Using DEA
- Wastewater Treatment and Nitrogen Removal
- Banking stability, regulation, efficiency
- Constructed Wetlands for Wastewater Treatment
- Sustainable Supply Chain Management
- Environmental Impact and Sustainability
- Fermentation and Sensory Analysis
- Optimization and Mathematical Programming
- Supply Chain and Inventory Management
- Advanced materials and composites
- Corrosion Behavior and Inhibition
- Pharmaceutical and Antibiotic Environmental Impacts
- Energy, Environment, Economic Growth
- Water Treatment and Disinfection
- High Entropy Alloys Studies
- Biochemical and biochemical processes
- Insurance and Financial Risk Management
- Simulation and Modeling Applications
- Structural Behavior of Reinforced Concrete
- Tunneling and Rock Mechanics
- Remote Sensing and LiDAR Applications
- Stock Market Forecasting Methods
- Seed and Plant Biochemistry
- Financial Markets and Investment Strategies
- Biosensors and Analytical Detection
Shandong University of Finance and Economics
2017-2024
Gansu Agricultural University
2019-2022
China University of Mining and Technology
2011-2021
University of Science and Technology Beijing
2018-2019
China University of Mining and Technology - Beijing
2016
Beijing Institute of Petrochemical Technology
2015-2016
University of Science and Technology of China
2015
Dalian Maritime University
2014
Taiyuan University of Science and Technology
2012
Chemical's persistence is known to be an important parameter applied for decades identify persistent organic pollutants in hazard and/or risk assessments. Nevertheless it greatly challenged the case of emerging contaminants such as pharmaceuticals because these chemicals could more affected by environmental conditions. This fact brings challenges current system evaluating chemical contaminants. In this paper, assessing were identified, and importantly research needs addressed based on...
The national economy heavily relies on the banking sector, and researchers have been focused discovering most effective method of enhancing bank's overall efficiency. Data Envelopment Analysis (DEA) is a commonly utilized tool for measuring We proposed an improved slacks-based measure model (SBM) with undesirable outputs using by-production framework. In such case, operating process considered as parallel system. Inputs are categorized into interest costs costs, which then evaluated in two...
Abstract This paper investigates the problem of efficiency measurement for parallel systems with two components based on Stackelberg game theory, while some inputs/outputs are fuzzy numbers. Conventional DEA models treat DMUs as “Black Boxes”. While in this paper, we propose a new model to calculate scores each DMU’s whole system and its sub-systems. Through (leader–follower) system’s score DMU is decomposed into set approach independent $$ \alpha <mml:math...
In evaluating the environmental efficiency analysis of Chinese industry systems, data envelopment (DEA) has been a popular method. However, production system is often treated as black box in conventional DEA models. This study considers internal structure to evaluate efficiency, which characterized two‐stage system, i.e., subsystem and pollutant treatment subsystem. And, reality, some subsystems systems are not equally important, this kind usually feature that one dominates other. Thus, we...
As a special type of enterprises with high risks, Chinese commercial banks’ risk management plays an important role in business process. Measuring and improving the efficiency banking system has recently attracted increasing interest. Previous studies analyze performance banks from perspective overall level banks, few articles focus on ability banks. This paper evaluates technical efficiencies by DEA-BCC model window analysis to come up some recommendations for policy makers. The is then...
The aim of this study was to develop and validate an improved, simple, sensitive method for the simultaneous determination seven types (cadaverine, CAD; hexylamine, HEX; histamine, HIS; phenylethylamine, PEA; putrescine, PUT; tyramine, TYR) biogenic amines (BAs) in wine matrices. For reason, a modified QuEChERS combined with ultra-performance liquid chromatography coupled triple quadrupole mass spectrometry (UHPLC-QqQ-MS/MS) investigated. optimization UHPLC-QqQ-MS/MS separation procedure...
Data envelopment analysis (DEA) efficiency measures integrated with the environmental DEA technology have gained popularity in performance measurement of production system including undesirable outputs. Most studies treat as a black box. This study considering internal structure two-stage process. The first stage is characterized stage, and second pollutant treatment stage. We extend relational model from constant returns to scale framework variable version. entire for each DMU product...
Traditional data envelopment analysis (DEA) models find the most desirable weights for each decision-making unit (DMU) in order to estimate highest efficiency score as possible. These scores are then used ranking DMUs. The main drawback is that based on obtained from standard DEA ignore other feasible weights; this due fact may have multiple solutions DMU. To overcome problem, Salo and Punkka (2011) deemed DMU a “Black Box” developed obtain bounds over sets of all its weights. In many real...
In the current research, influences of sulphur content on precipitates and properties were investigated through thermodynamic calculation microstructural analysis. The results show that DH36 structural steel are mainly (Nb, Ti)C Ti(C,N), size which ranged from 7 to 220 nm. Plenty nanoscale MnS was observed by transmission electron microscopy using carbon film replicas with 0.002% S. This is because temperatures maximum nucleation rate fastest precipitation much less than soaking temperature...
This paper presents a novel approach to portfolio optimization in the field of finance, with specific focus on short-term yield. Existing literature has mainly utilized fundamental data predict long-term trends stock prices, but our proposed methodology utilizes technical indicators based theory chasing up. Furthermore, we address non-cooperative nature volume and price fluctuation introduce into selection scheme for first time. We propose an using parallel Data Envelopment Analysis (DEA)...
ABSTRACT This paper innovatively proposes an improved two‐stage network SBM model, which could handle negative data and incorporates the CVaR indicator representing risks in efficiency evaluation. The proposed approach is utilized to evaluate analyze overall two subsystems' efficiencies of 29 mutual funds China from 2018 2022. Empirical results demonstrate that both operational management portfolio significantly impact efficiency. Funds exhibiting excellent performance subsystem are more...