Article
Energy & Fuels
Elif E. Demiral, Umit Saglam
Summary: The study found that 32 states in the US operate efficiently in terms of eco-efficiency, with 5 states performing at the most optimal scale, 17 states having considerable potential for boosting their productive efficiencies, and 28 states being overinvested in input variables. The non-radial DEA models show that the states' capital efficiency is very high, while energy and emission efficiencies are very low. The states' ecoproductivity is relatively higher than the eco-efficiency levels.
Article
Thermodynamics
Rui Rita, Vitor Marques, Diogo Barbara, Ines Chaves, Pedro Macedo, Victor Moutinho, Mariana Pereira
Summary: This paper evaluates the operational efficiency of the Portuguese mainland electricity Distribution System Operator (DSO) using different methodologies, including Stochastic Frontier Analysis (SFA), Data Envelopment Analysis (DEA) and Total Productivity Indices (Malmquist). The results show that the efficiency levels of the Portuguese DSO are between the 1st quartile and the efficiency frontier.
Article
Management
Jiawei Yang, Yuanyu Li, Lei Fang
Summary: Motivated by the challenge of efficient capacity planning among firms with limited resources, this research explores the interplay between financing and production planning with environmental considerations. A new two-stage data envelopment analysis approach is developed to optimize capacity investment and resource allocation, considering pollution-generating technologies. Findings reveal that financing expansion practice reduces inefficiencies and coordinates production and sustainability effectively.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Management
Qianying Jin, Antonella Basso, Stefania Funari, Kristiaan Kerstens, Ignace Van de Woestyne
Summary: Ethical mutual funds have become increasingly popular, and this article proposes a nonconvex metafrontier framework for comparing different types of mutual fund investment groups. The results suggest that ethical funds do not necessarily underperform non-ethical funds.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Economics
Navendu Prakash, Shveta Singh, Seema Sharma
Summary: Technological innovation is crucial for long-term productivity benefits in any sector. Investment in ICT is essential for improving banking efficiency. Research shows that the banking sector has successfully leveraged IT investments to enhance efficiency, debunking claims of a productivity paradox and supporting the emergence of a new economy driven by IT as a dynamic force for organizational change.
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
(2021)
Article
Business, Finance
Rohit Kumar Singh, Supran Kumar Sharma
Summary: The purpose of this study is to create a corporate governance index for Indian banks by removing subjectivity in assigning weights. The framework includes six dimensions of corporate governance, such as the attributes related to board committee, audit committee, risk management committee, remuneration committee, and bank transparency. The study uses a novel extension of data envelopment analysis, known as the benefit of doubt analysis, to objectively assign weights and provide a synthesized score as the corporate governance index. The analysis shows that non-duality boards and small-sized banks are more adaptable to governance norms and implementing these norms benefits both shareholders' interests and business performance in emerging economies. Policy implications are provided for improving corporate governance frameworks based on the novel analysis.
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
(2023)
Article
Biodiversity Conservation
Corrado lo Storto
Summary: This study presents a comprehensive approach to analyze the effectiveness-efficiency nexus in municipal solid waste management performance evaluation in 258 municipalities in Apulia region, Southern Italy. The research reveals that most municipalities need to improve their waste management performance, with efficiency mainly affected by pure technical efficiency.
ECOLOGICAL INDICATORS
(2021)
Article
Management
Helu Xiao, Zhongbao Zhou, Teng Ren, Wenbin Liu
Summary: This paper explores the theoretical nature and applications of using the free disposal hull (FDH) estimator in the estimation of portfolio efficiency. By applying the directional distance function (DDF) model, the differences between the FDH-NIRS estimator and other models are shown. The study also extends the FDH-NIRS estimator and verifies its effectiveness through simulations.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Chuanxin Xia, Yu Zhao, Qingxia Zhao, Shuo Wang, Ning Zhang
Summary: The study proposes a formal eco-efficiency indicator and develops a corresponding function for quantification. By assessing the city-level eco-efficiency in the Yellow River Basin, it reveals the relationship between ecological protection and economic development.
Article
Environmental Sciences
Miao Wang, Chao Feng
Summary: The study examines the impact of China's green policy on climate change mitigation. It suggests that China can significantly reduce CO2 emissions in the early stages of greening, but the effect diminishes as the process advances. Additionally, there is spatial variation in the impact of greening on CO2 emissions reduction in China.
ENVIRONMENTAL RESEARCH
(2021)
Article
Economics
Bechir Ben Lahouel, Lotfi Taleb, Younes Ben Zaied, Shunsuke Managi
Summary: This study examines the impact of positive stakeholder management on firm competitiveness. Through analyzing data from international airlines between 2005 and 2019, the research finds that stakeholder management dimensions related to employees and product/customer responsibility have a positive effect on productivity, technological advancements, and efficiency changes, while dimensions related to community, environment, and human rights do not significantly contribute to improving airline productivity change.
ECONOMIC MODELLING
(2022)
Article
Business
Ming-Miin Yu, Kok Fong See
Summary: Over the past decade, environmental controls in the airline industry have become a significant concern, and various initiatives have been proposed to reduce CO2 emissions. However, only a few studies have examined the efficiency of airlines using network data envelopment analysis, and the traditional DEA approach may overestimate efficiency. This study aims to investigate the performance of global airlines by considering CO2 emissions and using multiple abatement factors.
RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT
(2023)
Article
Operations Research & Management Science
Amir Moradi-Motlagh, Ali Emrouznejad
Summary: This paper surveys the increasing use of statistical approaches, specifically in the field of non-parametric efficiency studies. It highlights the development of Data Envelopment Analysis (DEA) and Free Disposable Hull (FDH) as standard non-parametric methods and discusses the statistical properties of their estimators. The paper also addresses the limitations of conventional bootstrap methods and introduces a smoothed bootstrap for use with DEA or FDH efficiency estimators. Furthermore, the paper reviews the application of these statistical approaches in various fields, providing confidence interval estimates to assess uncertainty. However, a comprehensive bibliometric analysis of bootstrap DEA/FDH literature and subsequent statistical approaches is still lacking.
ANNALS OF OPERATIONS RESEARCH
(2022)
Review
Engineering, Environmental
Alice K. M. Morita, Carolina Ibelli-Bianco, Jamil A. A. Anache, Jaqueline Coutinho, Natalia S. Pelinson, Juliana Nobrega, Livia M. P. Rosalem, Camila M. C. Leite, Leonardo M. Niviadonski, Caroline Manastella, Edson Wendland
Summary: This work provides an overview of environmental studies conducted in areas affected by dumpsites and nonsanitary landfills in Brazil, identifying main contaminants and assessing their environmental impact for guidance on intervention measures. The results reveal that Brazilian dumpsites are causing negative impacts on surrounding soils and water resources, posing ecological and public health risks that persist even after closure. Additionally, the study suggests the need for strict enforcement methods and monitoring plans to address this significant environmental problem in Brazil.
Article
Engineering, Marine
Denis Rabar, Dusko Pavletic, Sandro Dobovicek, Maja Vlatkovic
Summary: This paper introduces a multi-criteria performance measurement model for newbuilding dry-docking purposes. Data envelopment analysis models were used to determine best practices and inefficient vessels, with improvement propositions provided.
SHIPS AND OFFSHORE STRUCTURES
(2022)
Article
Environmental Sciences
A. Abad
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2015)
Article
Business
A. Abad, P. Ravelojaona
Summary: This paper aims to analyze the change in environmental Total Factor Productivity (TFP) by introducing innovative environmental TFP measures and highlighting the impact of input and output quality change on environmental productivity variation. It also proposes a general decomposition method for the new ratio- and difference-based environmental TFP measures. An empirical example is provided to illustrate these propositions.
JOURNAL OF PRODUCTIVITY ANALYSIS
(2022)
Article
Economics
Arnaud Abad, Michell Arias, Paola Ravelojaona
Summary: This paper examines the performance of 20 Ecuadorian petroleum companies from 2014 to 2018 by using pollution-adjusted Malmquist (PM) and Hicks-Moorsteen (PHM) productivity indices within a convex neutral analytical framework. It is the first study to investigate the environmental performance variation of the Ecuadorian oil industry. Unlike previous research, which assumed convexity in the production process, this paper considers possible non-linearities. The PM and PHM indices used in this paper are decomposed to identify the key drivers of economic and pollution-related productivity changes. The assessment of performance change is conducted through a nonparametric enumerative method.
MANAGERIAL AND DECISION ECONOMICS
(2023)
Article
Economics
Arnaud Abad, Paola Ravelojaona
Summary: This paper aims to define pollution-adjusted Malmquist and Luenberger productivity measures through generalized pollution-adjusted production technology, without requiring any convexity property. A general context to analyse and decompose pollution-adjusted productivity change is introduced to determine the sources of productivity variation and provide recommendations for decision makers.
MANAGERIAL AND DECISION ECONOMICS
(2021)
Article
Economics
Arnaud Abad, Rabaozafy Louisa Andriamasy, Walter Briec
JOURNAL OF ECONOMICS
(2018)
Article
Business
A. Abad, P. Ravelojaona
JOURNAL OF PRODUCTIVITY ANALYSIS
(2017)
Article
Economics
Arnaud Abad, Papangkorn Kongmanwatana
Review
Management
Vinicius N. Motta, Miguel F. Anjos, Michel Gendreau
Summary: This survey presents a review of optimization approaches for the integration of demand response in power systems planning and highlights important future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Philipp Schulze, Armin Scholl, Rico Walter
Summary: This paper proposes an improved branch-and-bound algorithm, R-SALSA, for solving the simple assembly line balancing problem, which performs well in balancing workloads and providing initial solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Roshan Mahes, Michel Mandjes, Marko Boon, Peter Taylor
Summary: This paper discusses appointment scheduling and presents a phase-type-based approach to handle variations in service times. Numerical experiments with dynamic scheduling demonstrate the benefits of rescheduling.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Oleg S. Pianykh, Sebastian Perez, Chengzhao Richard Zhang
Summary: Efficient scheduling is crucial for optimizing resource allocation and system performance. This study focuses on critical utilization and efficient scheduling in discrete scheduling systems, and compares the results with classical queueing theory.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Hamed Jahani, Babak Abbasi, Jiuh-Biing Sheu, Walid Klibi
Summary: Supply chain network design is a large and growing area of research. This study comprehensively surveys and analyzes articles published from 2008 to 2021 to detect and report financial perspectives in SCND models. The study also identifies research gaps and offers future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Patrick Healy, Nicolas Jozefowiez, Pierre Laroche, Franc Marchetti, Sebastien Martin, Zsuzsanna Roka
Summary: The Connected Max-k-Cut Problem is an extension of the well-known Max-Cut Problem, where the objective is to partition a graph into k connected subgraphs by maximizing the cost of inter-partition edges. The researchers propose a new integer linear program and a branch-and-cut algorithm for this problem, and also use graph isomorphism to structure the instances and facilitate their resolution. Extensive computational experiments show that, if k > 2, their approach outperforms existing algorithms in terms of quality.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Victor J. Espana, Juan Aparicio, Xavier Barber, Miriam Esteve
Summary: This paper introduces a new methodology based on the machine learning technique MARS for estimating production functions that satisfy classical production theory axioms. The new approach overcomes the overfitting problem of DEA through generalized cross-validation and demonstrates better performance in reducing mean squared error and bias compared to DEA and C2NLS methods.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Stefano Nasini, Rabia Nessah
Summary: In this paper, the authors investigate the impact of time flexibility in job scheduling, showing that it can significantly affect operators' ability to solve the problem efficiently. They propose a new methodology based on convex quadratic programming approaches that allows for optimal solutions in large-scale instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin
Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu
Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Bjorn Bokelmann, Stefan Lessmann
Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Congzheng Liu, Wenqi Zhu
Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Laszlo Csato
Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Guowei Dou, Tsan-Ming Choi
Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
