Computational Economics

Papers
(The median citation count of Computational Economics is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
An Automated Market Maker Algorithm for Fixed-Rate Trading with Flexible Maturities69
Estimation of Models for Stock Returns64
A General Inferential Framework for Singly-Truncated Bivariate Normal Models with Applications in Economics50
On the Optimal Size and Composition of Customs Unions: An Evolutionary Approach47
On the Estimation of Optimal Cutoffs for Power Laws and the Cross Section of Realized Foreign Exchange Rate Variances43
Comparative Analysis of Turkish and German Stock-Markets as a Hedge Product Against Inflation by Using Machine Learning Algorithms40
Determining a Credit Transition Matrix from Cumulative Default Probabilities. An Entropy Minimization Approach38
Financial Stress in Asean + 3 Economies: Risk Regime Identification and Predictability36
Optimization of Asset Allocation and Liquidation Time in Investment Decisions with VaR as a Risk Measure35
Numerical Solution of Passport Option Pricing Problem with Polynomial Neural Networks34
Volatility Dynamics and Mixed Jump-GARCH Model Based Jump Detection in Financial Markets30
Research on the Optimization of Commercial Bank Technology Credit Asset Portfolio Model Under Fractal Distribution28
Transactions Market in Bitcoin: Empirical Analysis of the Demand and Supply Block Space Curves28
Measuring Inflation Expectations Using Artificial Intelligence27
Detection of Uncertainty Events in the Brazilian Economic and Financial Time Series26
Improving the Forecast of the Global Gold Price By Combining Marine Predator Algorithm and Cascade-forward Neural Network24
Research on the Operation, Market and ESG Efficiency of China's Local Commercial Banks in the Context of COVID-1923
Deep Learning for Solving and Estimating Dynamic Macro-finance Models23
Dynamics in Realized Volatility Forecasting: Evaluating GARCH Models and Deep Learning Algorithms Across Parameter Variations22
On Forecasting Realized Volatility for Bitcoin Based on Deep Learning PSO–GRU Model22
Computing Aggregate Fluctuations of Economies with Private Information22
Risk Evaluation and Early Warning Study on Supply of Critical Minerals for China's Chip Industry21
Operator Splitting Method to Solve the Linear Complementarity Problem for Pricing American Option: An Approximation of Error21
Systematic Research on Multi-dimensional and Multiple Correlation Contagion Networks of Extreme Risk in China’s Banking Industry21
Explainable Hybrid Recurrent Models for Stock Price Prediction: Integrating Attention for Transparency21
Watts and Wealth: Forecasting the Economic Pulse of Europe Through Electricity Consumption20
A Novel Data Fusion Method for Multi-Dimensional Temporal Data Forecasting of Financial Homologous20
Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research19
A Bayesian Time-Varying Coefficient Model for Cobb–Douglas Production Function19
Navigating Market Risks in Green Investments in India: An Evaluation of Interest Rate, Equity, Commodity, and Forex Market Influences19
Electricity Price Prediction using Artificial Neural Network Models: A New and Comparative Analysis with Diverse Industry Production Indices18
On the Replication of the Pre-kernel and Related Solutions18
Non-linear Phillips Curve for India: Evidence from Explainable Machine Learning17
Geopolitical Risk, Military Expenditure, and Inflation Linkage in Türkiye: Insights from Wavelet-Partial Coherence Analysis17
A New Look at Cross-Country Aggregation in the Global VAR Approach: Theory and Monte Carlo Simulation17
Uncertainty Indicators as Key Predictors of Oil Volatility: An Interpretable Machine Learning Approach17
Stochastic Default Risk Estimation Evidence from the South African Financial Market17
Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning16
Integrating Machine Learning Techniques and the Unified Theory of Acceptance and Use of Technology to Evaluate Drivers for the Acceptance of Blockchain-Based Loyalty Programmes15
A Decision Support System for Identifying the Existence of Information Asymmetry in Regulated Stock Markets15
Improving Sliding Window Effect of LSTM in Stock Prediction Based on Econometrics Theory15
Numerical Solution of Time-Fractional Black–Scholes PDE by Non-symmetric Interior Penalty Galerkin Method15
COVID-19 and REITs Crash: Predictability and Market Conditions15
Numerical Solution for a Time-Fractional Black-Scholes Model Describing European Option14
Research on ESG Investment Efficiency Regulation from the Perspective of Reciprocity and Evolutionary Game14
The Model Dimensionality and Its Impacts on the Strategic and Policy Outcomes in IAMs the Findings from the RICE2020 Model14
Preference Dynamics: A Procedurally Rational Model of Time And Effort Allocation14
Volatility Spillovers and Hedging Effectiveness of Green Bonds: A Cross-Regional Analysis14
Construction of the Business Cycle by Phase Synchronization and Principal Component Analysis14
Does Environmental Decentralisation Affect Industry Green Economy Efficiency? The Moderating Effect of the Institutional Environment14
A Novel Pythagorean Approach Based Sine-Shaped Fuzzy Data Envelopment Analysis Model: An Assessment of Indian Public Sector Banks14
Is Default Risk Contagious? Evidence from Global Energy Leaders and Environmentally Conscious Energy Firms13
Using CNN to Model Stock Prices13
Fiscal Policy Towards Optimizing Macroeconomic Indicators by Integrating FRB/US with Reinforcement Learning13
Realized Volatility Forecasting for Stocks and Futures Indices with Rolling CEEMDAN and Machine Learning Models13
Developing a New Multidimensional Index of Bank Stability and Its Usage in the Design of Optimal Policy Interventions12
A Fuzzy Correlation Measurement Framework for Mixed Market Conditions12
Implementing a Hierarchical Deep Learning Approach for Simulating Multilevel Auction Data12
Time–Frequency Connectedness Among NFT Assets11
A Novel Hybrid Model by Integrating Gated Recurrent Unit Network with Weighted Error-Based Fuzzy Candlestick Model for Stock Market Forecasting11
Singular Stochastic Differential Equations for Time Evolution of Stocks Within Non-white Noise Approach11
Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies11
Research on Asymmetric Volatility Spillover Effects of Financial Institutions’ Risk Transmission—A Perspective Based on Frequency Domain Decomposition11
Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models11
Applications of Machine Learning and Deep Learning Algorithms in Financial Fraud Detection: A Review11
Trading Strategy Model Based on Dynamic Programming11
Mortgage Loan Data Exploration with Non-parametric Statistical and Machine Learning Perspectives11
Correction to: OG‑CAT: A Novel Algorithmic Trading Alternative to Investment in Crypto Market11
Forecasting of Gold Prices Using Hybrid Markov Weighted Fuzzy Intuitionistic Crayfish Time Series11
Exercise Price and Corporate Principal-agent Conflict: Optimizing Equity Incentive Programs Under Fractal Markets11
Mitigating Class Imbalance in Banking Transactions: A Graph-Based GAN Solution for Fraud Detection11
Identification of the Company Groups in Assessing the Risk of Tax Evasion: A Graph Theory Approach10
FEIS: A Credit Risk Assessment Model Combining Feature Engineering Approach and Interpretable Submodels10
An Improved Collocation Based Singular Resilient Numerical Scheme for Time-fractional Generalized Black-Scholes Equations Arising in Financial Derivative Market10
A Novel Hybrid Ensemble Framework for Stock Price Prediction: Combining Bagging, Boosting, Dagging, and Stacking10
Two-Population Evolutionary Oligopoly with Partial Cooperation and Partial Hostility10
Improving Portfolio Optimization Results with Bandit Networks10
A Synthetic Data-Plus-Features Driven Approach for Portfolio Optimization10
Testing the Fractal Market Hypothesis Using MFDFA Across Multiple Asset Classes10
Deep Reinforcement Learning for Long-Short Portfolio Optimization10
Competitive Pricing Using Model-Based Bandits10
A Novel Prediction Model: ELM-ABC for Annual GDP in the Case of SCO Countries10
Examining Challenges in Implied Volatility Forecasting: A Critical Review of Data Leakage and Feature Engineering combined with High-Complexity Models9
Copper Price Forecasting Based on Improved Least Squares Support Vector Machine with Butterfly Optimization Algorithm9
Artificial Factors Within the Logit Bankruptcy Model with a Moved Threshold9
Do Multilayer Networks Amplify Systemic Risk? Evidence from the Chinese Real Estate Industry9
Correction to: Precision Cryptocurrency Forecasting: A Hybrid Copula-Temporal Fusion Approach with Environmental and Economic Insights9
Spatial Interactions and the Spread of COVID-19: A Network Perspective9
PerRegMod: An R Package for Periodic Coefficients Linear Regression Models9
An Integrated Framework for Volatility Prediction: Leveraging Decomposition Techniques with Realized GARCH Models9
Explore the Impact Mechanism of Block Chain Technology on China's Carbon Market9
The Effect of News Photo Sentiment on Stock Price Crash Risk Based on Deep Learning Models8
American Option Valuation Under the Framework of CGMY Model with Regime-Switching Process8
Correction to: The Spherical Parametrisation for Correlation Matrices and its Computational Advantages8
Heterogeneous Entrepreneurial Will and Aggregate Fluctuations: A Reassessment of the Standard Keynesian Macro Model8
Comparing the Mixed Logit Estimates and True Parameters under Informative and Uninformative Heterogeneity: A Simulated Discrete Choice Experiment8
Building the Point Forecasting Model for Time Series based on the Improved Fuzzy Relationship and Predictive Principle8
The Asymmetric Effect of COVID-19 Pandemic on the US Market Risk Premium: Evidence from AEGAS-M Model8
Determinants and Pathways for Inclusive Growth in China: Investigation Based on Artificial Intelligence (AI) Algorithm8
Forecasting China’s Short-Term Energy Futures Price Using a Novel Secondary Decomposition-Optimized System8
The Effect of the Interest Rate on a Credit System8
Optimal Incentives for Eco-Environment-Oriented Development of Disused Mines Based on Differential Games: Ecological Rehabilitation Compensation or Carbon Quota Exchange8
Imposing Monotonicity in Stochastic Frontier Models: An Iterative Nonlinear Least Squares Procedure8
The Impact of Wealth Inequality on Economic Growth: A Machine Learning Approach8
Explaining the Stylized Facts of Foreign Exchange Markets with a Simple Agent-based Version of Paul de Grauwe’s Chaotic Exchange Rate Model7
Dynamic Spillover Effect Among Carbon Markets and Green Energy Sector: New Evidence from Complex Network Perspective7
Is cryptocurrency Efficient? A High-Frequency Asymmetric Multifractality Analysis7
Building Automated Computational Models for Predicting Energy Consumption in High-Performance Concrete Production7
Bayesian Quantile Regression Analysis for Bivariate Vector Autoregressive Models with an Application to Financial Time Series7
Moran Evolution Analysis of Enterprise Technological Innovation, Transformation and Upgrading Strategy in the Digital Economy7
Modelling Mixed-Frequency Time Series with Structural Change7
Efficient Market Hypothesis Versus Multifractality: Evidence from the Stablecoin Market7
Unveiling the Determinants of Competitive Industrial Performance Index (CIP) Evolution: a Machine Learning Approach to Midterm Dynamics7
Research of Dempster-Shafer’s Theory and Ensemble Classifier Financial Risk Early Warning Model Based on Benford’s Law7
Decentralized Online Portfolio Selection with Transaction Costs7
Trading Signal Survival Analysis: A Framework for Enhancing Technical Analysis Strategies in Stock Markets7
Role of Economic Policy Uncertainty in Energy Commodities Prices Forecasting: Evidence from a Hybrid Deep Learning Approach7
Feature Expansion Effect Approach for Improving Stock Price Prediction Performance7
A Novel Advanced Time Series Forecasting: Integrating DSES and HA-ED-BiGRU with Nipuna Activation Function7
Dynamic Interactions in Futures Markets: Exploring Transitory and Persistent Intraday Volatility Linkages among Oil, Gold, Stocks, and Forex Markets7
Going a Step Deeper Down the Rabbit Hole: Deep Learning Model to Measure the Size of the Unregistered Economy Activity7
Bitcoin Price Prediction Using Sentiment Analysis and Empirical Mode Decomposition7
A K-line Pattern Combinations Stock Return Prediction Method Using Deep Deterministic Policy Gradient7
Predicting Credit Default Risk Crisis of Government Implicit Debt: An Interpretable Machine Learning Approach7
Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches7
A Novel Mean–Variance-Entropy Portfolio with Two-Parameter Coherent Triangular Intuitionistic Fuzzy Number6
Deciphering the Influence of the Tone of Management Discussion and Analysis on Corporate Innovation: Integrating Textual Analysis with Empirical Corporate Data6
Interacting Cobweb Demands6
Implicit-Explicit Local Radial Point Interpolation Methods for Pricing Options with Liquidity Shocks6
Contemporary Approaches to Hybrid Forecasting6
Dynamic Neuroplastic Networks for Financial Decision Making: A Self-Adaptive Approach for Mitigating Catastrophic Forgetting in Continual Learning6
Data Imputation in Large Datasets: A Comparative Study of PCA and Machine Learning Approaches6
A New Fractal Method for the Modelling and Analysis of Financial Time Series6
Should the Occupational Pension Plans’ Investment be Long-Term or Short-Term? Evidence from China6
Horizon-Adaptive Extreme Risk Quantification for Cryptocurrency Assets6
Parallel Computation of Sovereign Default Models6
Financial Markets and Individual Attitudes: The Stick-balancing Model6
Stochastic Exchange Rate Dynamics, Intervention Dynamics and the Market Efficiency Hypothesis6
Stability and Error Estimates of Operator Splitting Methods on a Variable Space-Time Grid for American Options with Jumps6
Estimating Input Coefficients for Regional Input–Output Tables Using Deep Learning with Mixup6
Random Forests with Economic Roots: Explaining Machine Learning in Hedonic Imputation6
k-QREM: Integrating Hierarchical Structures to Optimize Bounded Rationality Modeling6
Optimal Time Varying Parameters in Yield Curve Modeling and Forecasting: A Simulation Study on BRICS Countries6
Solving Linear DSGE Models with Bernoulli Iterations6
MLSC: A Multi-label Stock Classifier for Multi-horizon Stock Trend Prediction6
Simulating and Pricing CAT Bonds Using the Spectral Method Based on Chebyshev Basis6
Britaly? Identifying Euro Area Historical Analogues to the UK’S 2022 Bond Market Shock6
Computing Longitudinal Moments for Heterogeneous Agent Models6
Explainable Bank Failure Prediction Models: Counterfactual Explanations to Reduce the Failure Risk6
Portfolio Optimization During the COVID-19 Epidemic: Based on an Improved QBAS Algorithm and a Dynamic Mixed Frequency Model6
Building Technical Analysis Strategies Using Multivariate Longitudinal and Time-to-Event Data in Stock Markets6
Integrating Weak Aggregating Algorithm and Reinforcement Learning for Online Portfolio Selection: The WARL Strategy6
Deep Learning Model for Fusing Spatial and Temporal Data for Stock Market Prediction6
Statistical Evaluation of Deep Learning Models for Stock Return Forecasting6
Explaining Mortgage Defaults Using SHAP and LASSO6
Real-Time Forecast of BIST100 Index Under Market Volatility and Uncertainty5
Morlet Wavelet Neural Network Simulation for Nonlinear Finance Model: an Intelligent and Comparative analysis5
Accuracy in Recursive Minimal State Space Methods5
Forecasting Bitcoin Volatility and Value-at-Risk Using Stacking Machine Learning Models With Intraday Data5
Increasing the Hong Kong Stock Market Predictability: A Temporal Convolutional Network Approach5
Grain Price Fluctuation: A Network Evolution Approach Based on a Distributed Lag Model5
Pricing of Vulnerable Timer Options5
We-media Advertising Investment Strategy of Enterprises in the Mobile Internet Environment5
Research on the Diffusion Mechanism of Digital Financial Services: An Evolutionary Game Model in Complex Network5
Portfolio Selection Based on EMD Denoising with Correlation Coefficient Test Criterion5
Deep Kusuoka Approximation: High-Order Spatial Approximation for Solving High-Dimensional Kolmogorov Equations and Its Application to Finance5
Carbon Taxes and Inflationary Pressures: A DSGE Exploration of Economic Responses and Macroeconomic Challenges5
An Efficient IMEX Compact Scheme for the Coupled Time Fractional Integro-Differential Equations Arising from Option Pricing with Jumps5
Opinion Dynamics with Preference Matching: How the Desire to Meet Facilitates Opinion Exchange5
Decentralized Storage Cryptocurrencies: An Innovative Network-Based Model for Identifying Effective Entities and Forecasting Future Price Trends5
Panel Interval-Valued Data Nonlinear Regression Models and Applications5
A Comparison of Different Rules on Loans Evaluation in Peer-to-Peer Lending by Gradient Boosting Models Under Moving Windows with Two Timestamps5
Examining the dynamic efficiency of NASDAQ insurance stock markets before and after the March 2020 crash5
An Examination of Alternative LQ-Based Approaches to Computing Regional Input–Output Coefficients5
Estimation of Rank-Ordered Regret Minimization Models5
Editorial to the Special Issue on Game Theory5
GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks5
Asset Prices with Investor Protection in the Cross-Sectional Economy5
Predicting the Brazilian Stock Market with Sentiment Analysis, Technical Indicators and Stock Prices: A Deep Learning Approach5
Financial Time Series Prediction Using Pelican Optimized Extreme Learning Machine with Reduced Weights5
Optimizing Multivariate Time Series Forecasting with LSTM: A Hybrid Scaling and Layer Normalization Framework Utilizing Logistic and Sigmoid-Curve transformations for Enhanced Predictive Accuracy5
Intelligent Stock Price Prediction Model Research Integrating Multimodal Information and KAN Networks5
Predicting ESG Ratings with Recurrent Neural Network Models: Evidence from China’s A-share Listed Companies5
Correction to: Navigating Market Risks in Green Investments in India: an Evaluation of Interest Rate, Equity, Commodity, and Forex Market Influences4
A Time-Dependent Markovian Model of a Limit Order Book4
WaveESN–RegimeMLP: GA-Tuned Reservoirs and Regime-Aware Multiscale Forecasting4
Data-Driven Green Technology Integration and Geopolitical Risks in East Asian Economic Development: A Predictive Analysis4
Simultaneous Confidence Intervals for Multi-way Clustered Stock Return Data4
Correction to: A Smooth Transition Autoregressive Model for Matrix-Variate Time Series4
Quantile Interactions and Spillovers among Blue Economy Indices, Bitcoin, VIX, and Traditional Assets during Crises4
Time-Varying Connectedness Among Oil Price Shocks, Global Conditions, and Financial Stress in South and Southeast Asian Markets4
Correction: Non‑linear Cointegration Test, Based on Record Counting Statistic4
Investor Structure and Corn Futures Price Volatility in China: Evidence Based on the Agent-Based Model4
An Analysis of the Temporal Impact of Investor Sentiment and Attention on Stock Liquidity Using Deep Learning4
Application of a Dual-Stream Hybrid Network for Exchange Rate Prediction4
Pricing Convertible Bonds Based on GAN and Transformer4
ARDL: An R Package for ARDL Models and Cointegration4
System Dynamics Modeling and Analysis of New Mexico Oil Production and Taxation4
The Rise of AI in Exchange-Traded Funds: Assessing Robo-Advisors and AI-Exposed ETFs4
Identification of Performative ESG Behaviors Using Explainable Machine Learning4
Risk Forecasting in Financial Management for Public Companies Using Efficient Multi-layer Diffusion Sea-horse Kernel Convolutional Spiking Attention Neural Network in the Digital Economy4
Stationary Markov Equilibrium Strategies in Stochastic Games: Existence and Computation4
Analyzing Stationarity in World Coffee Prices4
Exploring Nexus Between Oil Price Shocks and Copper Production: Analysing the Role of Mineral Prices and Geopolitical Factors in Saudi Arabia4
An Efficient Numerical Method Based on Exponential B-splines for a Time-Fractional Black–Scholes Equation Governing European Options4
Forecasting Global CO2 Emissions Under Economic, Geopolitical, and Policy Uncertainties: A Novel Hybrid Model4
Enhancement of Neural Networks Model’s Predictions of Currencies Exchange Rates by Phase Space Reconstruction and Harris Hawks’ Optimization4
Enhancing Stock Price Forecasting with Deep Learning: Insights from the Saudi Stock Market4
A Discourse Analysis of Tweets and Its Implications for Cryptocurrency Prices and Trade Volumes4
Unleashing the Potential of Mixed Frequency Data: Measuring Risk with Dynamic Tail Index Regression Model4
Option Valuation with Conditional Heteroskedastic Hidden Truncation Models4
The European Gas Market Integration During 2018–20244
Applying Multi-Critic Deep Deterministic Policy Gradient for Effective Selection of Macroeconomic Announcements in Forex Trading4
Time–Frequency Connectedness Between Oil Price Shocks and Stock Returns Under Bullish and Bearish Market States: Evidence from African Oil Importers and Exporters4
Nowcasting South Korea’s 1990s Unemployment Rate with News Sentiment4
A Multidimensional Approach To the Measurement and Classification of Stock Market Inefficiency Across Economies4
Asymmetric shock persistence in the OECD Stock Exchanges: New Insight from Quantile Exponential Smooth Transition Autoregression Approach4
The Tourism Industry’s Performance During the Years of the COVID-19 Pandemic4
Robust Portfolio Optimization via Linear Deviation Risk Measures4
Perturbating and Estimating DSGE Models in Julia4
Bayesian Network in Machine Learning: An Empirical Investigation to Assess the Price Clustering Model During Crises4
Portfolio with Copula-GARCH and Black-Litterman Model Using a Novel View Error Matrix4
How does Digital Technology Influence Natural Resource Use: A Global Perspective4
Second-Order Asymptotic Pricing of Bivariate Options Under the General Stochastic Volatility Jump-Diffusion Model4
Dynamic Interlinkages between the Twitter Uncertainty Index and the Green Bond Market: Evidence from the Covid-19 Pandemic and the Russian-Ukrainian Conflict4
Evaluating Bank Efficiency with Risk Management by Optimal Common Resource and Three-Parallel Two-Stage Dynamic DEA Model4
Do Bitcoin ETFs Lead Price Discovery Following their Introduction in the Bitcoin Market?4
Machine Learning XAI for Early Loan Default Prediction4
The Role of Market Confidence in U.S. Economic Fluctuations: Bayesian Model Comparison in an Extended TVP-VAR-SV Framework4
Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy4
Correlation Structure of the Spanish Stock Market Around COVID-19 Using Random Matrix Theory4
Approximate Bayesian Estimation of Stochastic Volatility in Mean Models Using Hidden Markov Models: Empirical Evidence from Emerging and Developed Markets4
Forecasting High Frequency Order Flow Imbalance using Hawkes Processes4
Dynamic Factor Mining Based on Multi-Objective Fitness and Its Empirical Study in Multi-Factor Strategies3
Estimation of Distribution Dependence Structures Using time-varying Copulas in R3
Comprehensive Stock Market Insight: Bayesian Networks for Multi-output Forecasting3
The Impact of Volatility Buffering in the Transition to Impermanent Loss Risk3
A Novel Fuzzy Multi-Class Support Vector Machine: An Application to Asset Selection and Portfolio Optimization3
Bayesian Inference for Mixed Gaussian GARCH-Type Model by Hamiltonian Monte Carlo Algorithm3
A Mixed Modified Fractional Stochastic Volatility Models with Application to DSX Market Data3
New Unit Root Tests in the Nonlinear ESTAR Framework: The Movement and Volatility Characteristics of Crude oil and Copper Prices3
Insights on the Theory of Robust Games3
Realized Real-Time GARCH: A Joint Model for Returns, Realized Measures and Current Information3
Correction to: An experiment with ANNs and Long‑Tail Probability Ranking to Obtain Portfolios with Superior Returns3
Learning Bermudans3
Optimizing Energy Choices: MEREC-TOPSIS Analysis of Renewable Technologies3
Greymodels: A Shiny Package for Grey Forecasting Models in R3
Forecasting Volatility Using Hybrid Machine Learning Method: Sequencing Block, Multi-layer Perceptron, and Bayesian Optimization3
Incremental Data Envelopment Analysis Model and Applications in Sustainable Efficiency Evaluation3
Assessing Environmental and Health Efficiency for Sustainable Development of European Union Countries3
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