Article
Economics
Ying Li, Mi Zhou, Huaping Sun, Jia Liu
Summary: This paper analyzes the impacts of green bonds and environmental taxes on energy efficiency in EU member states. The results confirm that green bonds accelerate the improvement of energy efficiency and environmental taxes are an effective fiscal policy to encourage enterprises to enhance their energy efficiency levels.
ECONOMIC CHANGE AND RESTRUCTURING
(2023)
Article
Green & Sustainable Science & Technology
Fazil Gokgoz, Engin Yalcin
Summary: This study analyzes the energy and environmental efficiency of EU countries using enhanced data envelopment analysis techniques. The findings reveal that Nordic countries are more efficient in terms of environmental efficiency, while Germany ranks as the top-performing country in eco-innovation efficiency. This research can provide valuable insights for policymakers in this area.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2023)
Article
Environmental Sciences
Roman Lacko, Zuzana Hajduova, Peter Markovic
Summary: This study assesses and evaluates the models of socioeconomic determinants of environmental efficiency in EU countries from 2010 to 2018. It suggests the need to develop sustainable tourism, transform economies into knowledge-based with less energy consumption, and provides recommendations for EU policies.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Economics
Tomas Balezentis, Mindaugas Butkus, Dalia Streimikiene, Zhiyang Shen
Summary: This paper proposes an econometric approach for estimating the rebound effect based on the ODEX index and analyzes the rebound effect in EU member states from 2000 to 2015, showing substantial spatial variations in the results.
Article
Environmental Sciences
Liang Chun Lu, Shih-Yung Chiu, Yung-Ho Chiu, Tzu-Han Chang, William Tang
Summary: This paper applies a modified DEA model to evaluate European countries' CO2 emissions and productivity efficiency, taking into account the role of forest carbon sinks. The results suggest that considering the fixed amount of forest carbon sinks significantly affects efficiency rankings. Some countries are overrated while others are underrated. In terms of Total-Factor Efficiency analysis, Denmark, Luxembourg, Norway, Sweden, and the UK perform the best.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Eyup Dogan, Sabina Hodzic, Tanja Fatur Sikic
Summary: The modern lifestyle and economic development of the European Union countries are closely connected to high energy consumption and environmental pollution. Renewable energy has arisen as one solution to this problem, even though the obstacles and challenges regarding the deployment of renewable energy lie in high costs, technology and legislation. The investigation of the determinants of renewable energy has become very attractive and popular because of the Sustainable Development Goals and COP26 targets. Therefore, this paper aims to explore the role of energy taxes and environmental taxes in addition to that of economic and environmental indicators in renewable energy development for the panel of EU countries by applying reliable and robust econometric techniques to the annual data from 1995 to 2019. The empirical results suggest that an increase in economic growth and oil prices supports renewable energy while environmental taxes and energy taxes have a negative impact on renewable energy deployment in EU countries. Thus, it is crucial to reform the structure of taxes to support the use of renewable energy. In addition, increasing environmental taxes to transform EU countries into energy-efficient economies will require additional EU policy adjustments.
Article
Environmental Sciences
Jaroslaw Brodny, Magdalena Tutak
Summary: The industrial sector is crucial for the development of individual countries and regions, with processes related to energy transformation and climate policy becoming increasingly connected. In order to improve economic competitiveness, there is a need for rapid enhancement of energy efficiency and consumption structure.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Ying Su, Xinwei Gao
Summary: Global warming is a pressing concern for world leaders, and financial efficiency, environmental regulations, and green technologies are recognized as important factors in improving environmental quality. A study has examined the impact of these factors on CO2 emissions and energy efficiency in highly polluted economies from 1995 to 2020 using the ARDL-PMG model. The findings suggest that environmental innovation and regulations improve energy efficiency and environmental quality in the long term, while financial development worsens environmental quality but improves energy efficiency. Therefore, policy experts in highly polluted economies should focus on increasing research and development, promoting green technologies, and implementing strict environmental regulations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Dong Xiang, Tianzhen Zhao, Ning Zhang
Summary: This paper empirically explores the impact of China's environmental policy on the energy utilization and operating efficiencies of small and medium-sized enterprises (SMEs) using survey data from Shandong Province. The results show that the policy has a significant positive effect on both efficiency performances of Chinese SMEs, with variations across industries and enterprise sizes. The policy has a greater impact on energy utilization efficiency in first and second tier cities, but no significant impact on operating efficiency. The enlightenments suggest the need to strengthen energy utilization awareness and refine environmental regulation standards for different types of enterprises.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Mirela Stoian, Laura Brad, Alina Zaharia
Summary: This study analyzes the influencing factors of Environmental Performance Index (EPI) at an EU level. The results show positive relationships between EPI and factors such as area under organic farming, circular material use rate, eco-innovation index, energy productivity, gender equality in labor force participation, forest area, Human Development Index, Internet users, livestock production index, new business density, patent applications, tertiary school enrollment, renewable energy consumption, and women's representation in national parliaments. On the other hand, factors such as inequality, natural resource rents, trade volume, and environmental taxes seem to constrain the EU's environmental performance.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Qi-Cheng Yang, Gen-Fu Feng, Chun-Ping Chang, Quan-Jing Wang
Summary: The study finds long-term bi-directional relationships between environmental protection expenditure and environmental performance, with no short-term links, and a unidirectional relationship from environmental performance to environmental expenditure in OECD countries. Policymakers need to better reallocate environmental expenditure to improve environmental performance.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Business
Justas Streimikis, Zhuang Miao, Tomas Balezentis
Summary: This paper analyzes the energy efficiency and productivity growth in the agriculture of the European Union. The average annual productivity growth of 0.79% was obtained for the selected countries during 1995-2016, with Lithuania, Denmark, Belgium, and Romania showing the highest productivity gains. The productivity growth related to GHG emission dominated the contributions by the input/output variables in several countries.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2021)
Article
Economics
Rabindra Nepal, Hammed Oluwaseyi Musibau, Tooraj Jamasb
Summary: This paper examines the impact of energy efficiency on CO2 emissions in the EU using a generalized methods of moments based on a quantile regression approach. The results indicate that energy efficiency has reduced emissions by 8.6% on average in all the quantiles.
Article
Environmental Sciences
Yufeng Chen, Kelong Liu, Liangfu Ni
Summary: Understanding energy-environmental efficiency is crucial for coordinating economic development and eco-environmental protection. This study analyzed Chinese provincial energy-environmental efficiencies and discussed the impacts of regional strategies. The results revealed that Chinese energy-environmental efficiencies were overestimated and varied across regions. While pure energy-environmental efficiencies showed promise, there was a downward trend. Regional strategies had limited impact on improving overall energy-environmental efficiency and scale efficiency, but did not help pure energy-environmental efficiency significantly.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Utsav Pandey, Sanjeet Singh
Summary: This study introduces pollutant emissions and other factors into the measurement of environmental efficiency for firms, decomposing it into stage-specific environmental efficiencies. Results show the importance of maintaining efficiency at all stages to achieve overall environmental efficiency, while also identifying key factors contributing to environmental inefficiency. Policy recommendations are proposed based on the findings.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Mathematics
Xavier Barber, David Conesa, Antonio Lopez-Quilez, Joaquin Martinez-Minaya, Iosu Paradinas, Maria Grazia Pennino
Summary: This study discusses spatial relationships among species using a Bayesian spatial coregionalized model and demonstrates improved predictive performance with the coregionalized model, particularly in the case of European anchovy and European hake in the Mediterranean sea.
Correction
Biology
Blanca Sarzo, Ruth King, David Conesa, Jonas Hentati-Sundberg
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
(2021)
Article
Economics
Maria Teresa Balaguer-Coll, Isabel Narbon-Perpina, Jesus Peiro-Palomino, Emili Tortosa-Ausina
Summary: This study analyzes the relationship between government efficiency and economic growth at the municipal level in 1,820 Spanish municipalities during the period 2008-2015. The findings show a significant positive effect of government efficiency on income per capita growth, especially for the poorest municipalities.
JOURNAL OF REGIONAL SCIENCE
(2022)
Article
Plant Sciences
Martina Cendoya, Ana Hubel, David Conesa, Antonio Vicent
Summary: Spatial species distribution models often assume isotropy and stationarity, but such assumptions are violated when dispersal barriers are present. This study evaluated the influence of barriers on the distribution of Xylella fastidiosa in Alicante, Spain. The results showed that barriers reduced the probability of X. fastidiosa presence outside the barrier, and gaps in the barrier increased the probability in areas with low sampling intensity. These findings are important for prioritizing surveillance and disease control efforts.
Article
Economics
Joan Crespo, Jesus Peiro-Palomino, Emili Tortosa-Ausina
Summary: The study found a positive relationship between university system performance and labor productivity growth, driven mainly by shifts in the frontier, but the impact was not significant for provinces with productivity levels below the median, suggesting that the relative underperformance of the Spanish university system could be one of the factors hindering the convergence path of provinces.
INDUSTRY AND INNOVATION
(2022)
Article
Fisheries
Iosu Paradinas, Joan Gimenez, David Conesa, Antonio Lopez-Quilez, Maria Grazia Pennino
Summary: Marine protected areas (MPAs) are promising for the conservation and recovery of marine ecosystems and fishery management, but the dynamic nature of marine systems has led to debates on more dynamic designs. This study proposes a method to assess the spatiotemporal dynamics of fishery management priority areas, emphasizing the importance of regularly reassessing MPA designs.
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
(2022)
Article
Multidisciplinary Sciences
Isabelle Anguelovski, James J. T. Connolly, Helen Cole, Melissa Garcia-Lamarca, Margarita Triguero-Mas, Francesc Baro, Nicholas Martin, David Conesa, Galia Shokry, Carmen Perez del Pulgar, Lucia Arguelles Ramos, Austin Matheney, Elsa Gallez, Emilia Oscilowicz, Jesua Lopez Manez, Blanca Sarzo, Miguel Angel Beltran, Joaquin Martinez Minaya
Summary: There is a positive relationship between new greenspaces and gentrification, which can lead to social and racial inequalities, as well as environmental and climate injustice. This relationship is important for urbanization.
NATURE COMMUNICATIONS
(2022)
Article
Economics
Jesus Peiro-Palomino, William Orlando Prieto-Bustos, Emili Tortosa-Ausina
Summary: This study examines the trajectory of regional income dynamics in Colombia. The results indicate that controlling for population factors enhances the convergence patterns, but specific policies are needed to address persistent polarization and core-periphery gaps among geographical departments.
ANNALS OF REGIONAL SCIENCE
(2023)
Article
Environmental Sciences
Margarita Triguero-Mas, Isabelle Anguelovski, James J. T. Connolly, Nick Martin, Austin Matheney, Helen V. S. Cole, Carmen Perez-Del-Pulgar, Melissa Garcia-Lamarca, Galia Shokry, Lucia Arguelles, David Conesa, Elsa Gallez, Blanca Sarzo, Miguel Angel Beltran, Jesua Lopez Manez, Joaquin Martinez-Minaya, Emilia Oscilowicz, Mariana C. Arcaya, Francesc Baro
Summary: Cities globally are implementing re-naturing projects to address urban challenges, but these interventions may also lead to green gentrification. This study analyzed 28 mid-sized cities in North America and Western Europe and found that parks are positively associated with gentrification processes, while newly designated nature preserves are negatively associated.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Joao Carmezim, Maria Grazia Pennino, Joaquin Martinez-Minaya, David Conesa, Marta Coll
Summary: The study assesses the interaction between different fish species richness and anthropogenic threats in the Mediterranean Sea. It found that areas with higher fish richness are mainly located along the western and northern shores, with lower values in the southeastern regions. The results suggest that higher salinity, lower chlorophyll-a and phosphate concentrations in colder areas are more favorable for fish richness.
MARINE ENVIRONMENTAL RESEARCH
(2022)
Article
Economics
Luisa Alama-Sabater, Miguel A. Marquez, Emili Tortosa-Ausina
Summary: This paper studies the impact of the spatial distribution of sectoral employment on the intra-regional spatial location of a population and territorial development. The results suggest that reversing depopulation in rural areas depends strongly on the services sector.
Article
Business, Finance
Maria del Carmen Dircio-Palacios-Macedo, Paula Cruz-Garcia, Fausto Hernandez-Trillo, Emili Tortosa-Ausina
Summary: Access to financial services varies greatly worldwide, both among countries and within regions and municipalities of the same country. To address this variation, we propose a novel Financial Inclusion (FI) index that incorporates different subdimensions of access and usage. Our index is formulated using exploratory factor analysis and aggregated as a weighted geometric mean. By applying this index to Mexican municipalities in 2020, we find that each municipality has different levels of importance for each dimension, indicating potential reasons for low levels of FI.
FINANCE RESEARCH LETTERS
(2023)
Article
Fisheries
Lucas dos Santos Rodrigues, Maria Grazia Pennino, David Conesa, Eidi Kikuchi, Paul Gerhard Kinas, Fabiana Goncalves Barbosa, Luis Gustavo Cardoso
Summary: Ecological niche models and species distribution models have been widely used in various studies. In recent years, these models have been applied to marine environmental issues, especially to improve the forecasting and capturing of fishery resources. This study provides a bibliometric analysis of articles related to the use of these models in marine fishery resources, presenting their characteristics and findings.
FISH AND FISHERIES
(2023)
Article
Statistics & Probability
Joaquin Martinez-Minaya, Finn Lindgren, Antonio Lopez-Quilez, Daniel Simpson, David Conesa
Summary: This article introduces a Laplace approximation method for Bayesian inference in Dirichlet regression models, which allows analyzing skewed and heteroscedastic variables on a simplex without data transformation. The article provides theoretical foundations, implementation details, and introduces the dirinla package in R-language for Dirichlet regression. Simulation studies validate the proposed method, and a real data case-study demonstrates its application.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2023)
Review
Green & Sustainable Science & Technology
Roberto Gomez-Calvet, Jose M. Martinez-Duart, Ana Rosa Gomez-Calvet
Summary: This work discusses the power transition in Spain by 2030 to achieve climate neutrality by 2050. The Spanish government has set specific objectives for the electricity power mix evolution from 2020 to 2050, including a significant increase in photovoltaic (PV) capacity. However, the plan fails to adequately address the storage and backup power requirements for PV expansion, potentially leading to curtailment of solar energy.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Computer Science, Interdisciplinary Applications
Rafael Praxedes, Teobaldo Bulhoes, Anand Subramanian, Eduardo Uchoa
Summary: The Vehicle Routing Problem with Simultaneous Pickup and Delivery is a classical optimization problem that aims to determine the least-cost routes while meeting pickup and delivery demands and vehicle capacity constraints. In this study, a unified algorithm is proposed to solve multiple variants of the problem, and extensive computational experiments are conducted to evaluate the algorithm's performance.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Ragheb Rahmaniani, Teodor Gabriel Crainic, Michel Gendreau, Walter Rei
Summary: Benders decomposition (BD) is a popular solution algorithm for stochastic integer programs. However, existing parallelization methods often suffer from inefficiencies. This paper proposes an asynchronous parallel BD method and demonstrates its effectiveness through numerical studies and performance enhancement strategies.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Giulia Caselli, Maxence Delorme, Manuel Iori, Carlo Alberto Magni
Summary: This study addresses a real-world scheduling problem and proposes four exact methods to solve it. The methods are evaluated through computational experiments on different types of instances and show competitive advantages on specific subsets. The study also demonstrates the generalizability of the algorithms to related scheduling problems with contiguity constraints.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaowen Yao, Chao Tang, Hao Zhang, Songhuan Wu, Lijun Wei, Qiang Liu
Summary: This paper examines the problem of two-dimensional irregular multiple-size bin packing and proposes a solution that utilizes an iteratively doubling binary search algorithm to find the optimal bin combination, and further optimizes the result through an overlap minimization approach.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Decheng Wang, Ruiyou Zhang, Bin Qiu, Wenpeng Chen, Xiaolan Xie
Summary: Consideration of driver-related constraints, such as mandatory work break, in vehicle scheduling and routing is crucial for safety driving and protecting the interests of drivers. This paper addresses the drop-and-pull container drayage problem with flexible assignment of work break, proposing a mixed-integer programming model and an algorithm for solving realistic-sized instances. Experimental results show the effectiveness of the proposed algorithm in handling vehicle scheduling and routing with work break assignment.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
William N. Caballero, Jose Manuel Camacho, Tahir Ekin, Roi Naveiro
Summary: This research provides a novel probabilistic perspective on the manipulation of hidden Markov model inferences through corrupted data, highlighting the weaknesses of such models under adversarial activity and emphasizing the need for robustification techniques to ensure their security.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Davood Zaman Farsa, Shahryar Rahnamayan, Azam Asilian Bidgoli, H. R. Tizhoosh
Summary: This paper proposes a multi-objective evolutionary framework for compressing feature vectors using deep autoencoders. The framework achieves high classification accuracy and efficient image representation through a bi-level optimization scheme. Experimental results demonstrate the effectiveness and efficiency of the proposed framework in image processing tasks.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Matthew E. Scherer, Raymond R. Hill, Brian J. Lunday, Bruce A. Cox, Edward D. White
Summary: This paper discusses instance generation methods for the multidemand multidimensional knapsack problem and introduces a primal problem instance generator (PPIG) to address feasibility issues in current instance generation methods.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Yin Yuan, Shukai Li, Lixing Yang, Ziyou Gao
Summary: This paper investigates the design of real-time train regulation strategies for urban rail networks to reduce train deviations and passenger waiting times. A mixed-integer nonlinear programming (MINLP) model is used and an efficient iterative optimization (IO) approach is proposed to address the complexity. The generalized Benders decomposition (GBD) technique is also incorporated. Numerical experiments show the effectiveness and computational efficiency of the proposed method.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Xinghai Guo, Netirith Narthsirinth, Weidan Zhang, Yuzhen Hu
Summary: This study proposes a bi-level scheduling method that utilizes unmanned surface vehicles for container transportation. By formulating mission decision and path control models, efficient container transshipment and path planning are achieved. Experimental results demonstrate the effectiveness of the proposed approach in guiding unmanned surface vehicles to complete container transshipment tasks.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Review
Computer Science, Interdisciplinary Applications
Jose-Fernando Camacho-Vallejo, Carlos Corpus, Juan G. Villegas
Summary: This study aims to review the published papers on implementing metaheuristics for solving bilevel problems and performs a bibliometric analysis to track the evolution of this topic. The study provides a detailed description of the components of the proposed metaheuristics and analyzes the common combinations of these components. Additionally, the study provides a detailed classification of how crucial bilevel aspects of the problem are handled in the metaheuristics, along with a discussion of interesting findings.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Xudong Diao, Meng Qiu, Gangyan Xu
Summary: In this study, an optimization model for the design of an electric vehicle-based express service network is proposed, considering limited recharging resources and power management. The proposed method is validated through computational experiments on realistic instances.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Ramon Piedra-de-la-Cuadra, Francisco A. Ortega
Summary: This study proposes a procedure to select candidate sites optimally for ensuring energy autonomy and reinforced service coverage for electric vehicles, while considering demand and budget restrictions.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Danny Blom, Christopher Hojny, Bart Smeulders
Summary: This paper focuses on a robust variant of the kidney exchange program problem with recourse, and proposes a cutting plane method for solving the attacker-defender subproblem. The results show a significant improvement in running time compared to the state-of-the-art, and the method can solve previously unsolved instances. Additionally, a new practical policy for recourse is proposed and its tractability for small to mid-size kidney exchange programs is demonstrated.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Anqi Li, Congying Han, Tiande Guo, Bonan Li
Summary: This study proposes a general framework for designing linear programming instances based on the preset optimal solution, and validates the effectiveness of the framework through experiments.
COMPUTERS & OPERATIONS RESEARCH
(2024)