A5102999284- Efficiency Analysis Using DEA
- Economic and Environmental Valuation
- Environmental Impact and Sustainability
- Multi-Criteria Decision Making
- Energy, Environment, Economic Growth
- Optimization and Mathematical Programming
- Transportation Planning and Optimization
- Fiscal Policy and Economic Growth
- Maritime Ports and Logistics
- Healthcare Policy and Management
- Energy Efficiency and Management
- Auction Theory and Applications
- Regional Economic and Spatial Analysis
- ICT Impact and Policies
- Risk and Portfolio Optimization
- Evaluation and Optimization Models
- Quality and Supply Management
- Evaluation Methods in Various Fields
- Water resources management and optimization
- Spatial and Panel Data Analysis
- Banking stability, regulation, efficiency
- Capital Investment and Risk Analysis
- Financial Reporting and Valuation Research
- Electric Power System Optimization
Hunan University
2019-2023
University of Science and Technology of China
2015-2019
Suzhou University of Science and Technology
2019
Changsha University
2019
Centre National de la Recherche Scientifique
2018
Université de Technologie de Troyes
2018
Anhui University
2012
This paper develops two-stage inverse data envelopment analysis models with undesirable outputs to formulate resource plans for 16 Chinese listed commercial banks whose are increased and overall efficiency is kept unchanged in the short term. We use these meet three different output targets, namely, increasing both desirable by same percentage, percentages, only while keeping unchanged. find that operation cost interest expense more flexible than labor adjustment process deposits have no...
Resource allocation is a popular and important issue in the enterprise management. Recently, data envelopment analysis (DEA) as non-parametric method for measuring performance of decision-making units (DMUs) has brought new flavour to this issue. However, most resource works by DEA focused on single stage system or consider internal production process 'black box.' With competition relation among economic entities enhance, becomes more complex interactive. To go inside box', paper, we propose...
Purpose The purpose of this paper is to measure Chinese industries’ eco-efficiency during 2006-2013. industry attained rapid achievement in recent decades, but meanwhile, overconsumption energy and environmental pollution have become serious problems. To solve these problems, many research studies used the data envelopment analysis (DEA) industry’s eco-efficiency. However, because target set by works usually furthest one for a province be efficient, it may hardly accepted any province....
Abstract This study investigates the centralized resource allocation problem among individual units using network flow theory in a data envelopment analysis (DEA) framework. Existing research on DEA‐based is primarily concerned with amount of allocated resources to units, and only few studies have considered flows when are allocated. To identify internal structure process, introduced used search for optimal scheme. Moreover, cost gain (RAG) function formulated provide quantitative trade‐off...