Article
Social Sciences, Interdisciplinary
Pinar Mic, Z. Figen Antmen
Summary: The study focuses on supporting the new university location decision in a region in Turkey with high population density but relatively low number of universities, applying various multicriteria decision-making techniques. The results obtained are intended to aid decision makers in making informed choices.
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Economics
Ivan Deviatkin, Mariia Kozlova, Julian Scott Yeomans
Summary: The translated content introduces the application of simulation decomposition (SD) in environmental sustainability decision-making, which enhances the visualization of the cause-effect relationships of multi-variable inputs and improves the understanding of the impacts of multi-variable inputs on outputs.
SOCIO-ECONOMIC PLANNING SCIENCES
(2021)
Article
Multidisciplinary Sciences
Miroslav Nedeljkovic, Adis Puska, Suzana Doljanica, Sasa Virijevic Jovanovic, Pavle Brzakovic, Zeljko Stevic, Dragan Marinkovic
Summary: Decision making is crucial in agriculture as selecting the right crop variety directly impacts the return on investment. This study developed a novel integrated fuzzy MCDM model based on fuzzy logic and evaluated rapeseed varieties, with Zorica variety showing the best performance.
Article
Chemistry, Multidisciplinary
Juan Francisco Nicolalde, John Yaselga, Javier Martinez-Gomez
Summary: Latin America needs more accessible housing in rural areas, but cost, accessibility, and seismic events are challenges. To address this, the study suggests using affordable and seismic-resistant alternative materials. Bamboo was found to be the best choice based on mechanical, environmental, and price factors.
APPLIED SCIENCES-BASEL
(2022)
Article
Construction & Building Technology
Buket Cilali, Kash Barker, Andreas D. Gonzalez
Summary: This study aims to assist decision-makers in refugee resettlement planning by proposing a multicriteria facility location and allocation problem. It focuses on significant objectives such as prioritization based on socio-cultural differences and overall success of the resettlement process to improve social resilience of host cities.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Energy & Fuels
Seyyed Jalaladdin Hosseini Dehshiri, Seyed Mahmoud Zanjirchi
Summary: The increase in energy demand is driven by industrial development and population growth, while the attention to environmental issues necessitates the use of renewable energy. Wind energy, with its low construction costs and rapid installation, is a prominent choice. This study focuses on using multicriteria decision-making (MCDM) to locate hydrogen production from wind energy. A case study in Iran and Hormozgan province is used to demonstrate the proposed approach. The results show that Bandar Abbas is the most suitable location for hydrogen projects.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Zhe Yang, Kan Yang, Yufeng Wang, Lyuwen Su, Hu Hu
Summary: The article introduces a framework for solving long-term multi-objective power generation operation and multi-criteria decision making under multiple uncertainties, including improved multi-objective particle swarm optimization and LHS-Monte Carlo simulation. A stochastic multi-criteria acceptability analysis model coupled with grey correlation analysis and TOPSIS is developed to assist stochastic decision making. Simulation experiments reveal the effect of uncertain factors on LTMOPGO and MCDM with probabilistic rank sequence and risk information.
Article
Green & Sustainable Science & Technology
Ye Cui, E. Hanyu, Witold Pedrycz, Aminah Robinson Fayek
Summary: In this study, a novel decision-making model is introduced and developed to address the problems of renewable energy site planning. The model utilizes information granules, specifically intervals and fuzzy sets, to construct a comprehensive and systematic methodology for ranking alternatives in a multicriteria group decision-making environment. By formalizing and processing uncertainty through information granules and considering the diversity of individual decision-makers' views and opinions, the model provides a reliable and interpretable solution. The usefulness of the model is demonstrated through a case study on solar site selection.
Article
Mechanics
Haibing Peng
Summary: Despite the widespread use of Navier-Stokes equations in computational-fluid-dynamics (CFD), there are still unanswered questions due to the absence of considering the statistical nature of discrete air molecules. In this study, we propose a statistical mechanics-based approach called the volume-element method, which allows for the numerical evaluation of aerodynamic lift and drag. We obtained pressure and friction values as a function of the angle of attack for flat-plate airfoils, and this method can be directly applied to convex-shape airfoils and combined with Monte Carlo simulations for concave-shape airfoils. This approach not only has implications for aerodynamic applications, but also opens up possibilities for further applications in Boson or Fermi gases.
Article
Agriculture, Multidisciplinary
John N. Ng'ombe, B. Wade Brorsen
Summary: For decades, researchers have relied on small-scale agronomic experiments to provide input management recommendations to farmers. However, these experiments often have large standard errors and uncertainty about their generalizability. To address these limitations, there has been a movement towards on-farm field experiments. This study used a Bayesian decision-theoretic approach to examine the best methods for conducting these experiments and determining when it is most profitable to quit them.
PRECISION AGRICULTURE
(2022)
Article
Mathematics
Santoso Wibowo, Lakshmi Grandhi, Srimannarayana Grandhi, Marilyn Wells
Summary: The use of Fintech has increased in recent years due to its support for financial institutions in managing operations and gaining competitive advantages. However, selecting the most suitable Fintech project can be complex due to various decision makers, conflicting evaluation criteria, and imprecise judgments. This study proposes an algorithm based on interval-valued intuitionistic fuzzy numbers to tackle these challenges and select the most suitable Fintech project.
Article
Construction & Building Technology
Jiajun Du, Wei Wang, Ting Lou, Hongyu Zhou
Summary: A novel probabilistic multi-criteria decision-making (MCDM) framework is developed for sustainable and resilient building design solutions selection. The framework considers resilience metrics, environmental sustainability, and energy consumption, while evaluating earthquake-induced impacts and assessing energy use during the operational phase. The proposed framework demonstrates advantages over traditional frameworks and provides guidance for architectural design decisions.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Public, Environmental & Occupational Health
Jeffrey M. Keisler, Igor Linkov
Summary: Recent guidelines for risk-informed decision making provide a standard for incorporating probabilistic risk models with other considerations, but quantifying risk is difficult when threats, vulnerabilities, and consequences are highly uncertain. Decision making informed by risk (DMIR) can be used as a flexible approach that combines risk and decision analytics. Multi-criteria decision analysis (MCDA) is commonly used as a basis for DMIR to accommodate varying levels of analytical detail.
Article
Physics, Multidisciplinary
K. L. Zhang, Z. Song
Summary: The study reveals that applying a nonlocal non-Hermitian perturbation to an Ising chain merges the topological Kramer-like degeneracy in the ferromagnetic phase, with distinct dynamic responses for different quantum phases. The phase diagram at zero temperature is completely preserved at finite temperatures.
PHYSICAL REVIEW LETTERS
(2021)
Article
Environmental Sciences
Rizwan Raheem Ahmed, Dalia Streimikiene, Hina Qadir, Justas Streimikis
Summary: This research examines the impact of green attitude, green customer value, and green marketing mix on green purchasing intention. The findings show that green customer value, green marketing mix, and attitude have a positive and significant impact on the green purchase intention of US customers.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Tomas Balezentis, Dalia Streimikiene, Indre Siksnelyte-Butkiene, Virgilijus Skulskis
Summary: This paper proposes a multi-criteria decision-making approach that uses the algebra of random variables to handle interval information. The approach effectively handles uncertainty and is user-friendly. An empirical application on the selection of sustainable insulation materials validates the proposed approach, considering technological, economic, environmental, and social aspects of sustainability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Mariam Kasradze, Mahyar Kamali Saraji, Dalia Streimikiene
Summary: Corporate social responsibility (CSR) is crucial for businesses pursuing sustainable development. This study aims to identify and evaluate the challenges of CSR adoption for sustainability and the EU's response. A novel fuzzy SWARA-TOPSIS method is used to rank EU countries based on the identified challenges. The results highlight Leadership Mindset and Corporate Commitment as the most significant challenges for CSR adoption. Italy demonstrates the best performance in adopting CSR for sustainability, while Malta shows the worst. Policy implications are discussed.
INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT
(2023)
Article
Economics
Weihua Su, Zhen Wang, Chonghui Zhang, Tomas Balezentis
Summary: Strategic emerging industries facilitate the deep integration of emerging technologies and strategic industries. Exploring the factors of the innovation efficiency of strategic emerging industries are of great significance to effectively implement the strategy of innovation-driven development and enhance national core competitiveness. Among the factors, enterprise characteristics play a dominant role in determining the efficiency of enterprise innovation, with high-tech enterprises and enterprise size having a positive impact, while the influence of enterprise age is nonlinear.
ECONOMIC CHANGE AND RESTRUCTURING
(2023)
Article
Economics
Dalia Streimikiene
Summary: The paper analyzes the development of energy poverty in two groups of countries (Baltic States and Visegrad countries) and provides a comparative assessment. The findings can be used to provide policy recommendations and best practices for countries experiencing energy poverty.
MONTENEGRIN JOURNAL OF ECONOMICS
(2023)
Article
Operations Research & Management Science
Justas Streimikis, Z. Y. Shen, Tomas Balezentis
Summary: The European Green Deal and similar strategies aim to improve sustainability in agriculture through public support programs. This paper examines the costs of sustainable energy use in agriculture using the shadow price approach and explores the sensitivity of shadow price analysis to different optimization directions. By using country-level data and data envelopment analysis, the study quantifies the shadow prices of energy-related greenhouse gas emissions and constructs marginal abatement cost curves. The findings highlight the spatial and temporal variation in environmental performance, emphasizing the need for tailored support programs.
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Haiyan Deng, Ziqiong Song, Tomas Balezentis, Zhiyang Shen
Summary: This paper models the production process using a novel by-production approach and ensures the linkage between economic and environmental sub-technologies. It adjusts the byproduction Data Envelopment Analysis model to obtain positive shadow prices and derives the shadow prices of carbon dioxide emissions for province-level industrial sector data in China from 1997 to 2019. The findings show that the shadow price of carbon has increased over time, indicating the effectiveness of policymakers' efforts in reducing carbon emissions in manufacturing. The significant variation in shadow prices across provinces can be explained by factors such as carbon productivity, non-fossil energy consumption, and urbanization rate.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Energy & Fuels
Daiva Makuteniene, Algirdas Justinas Staugaitis, Bernardas Vaznonis, Gunta Grinberga-Zalite
Summary: The development of a country's economy is closely linked to its energy use in economic sectors. The energy-environmental Kuznets curve (EEKC) is often used to analyze the potential and challenges of sustainable development, green economy, and green growth. This study examines the relationship between energy consumption and economic growth in the Baltic States from 1995 to 2019, with a focus on the agriculture sector. The research findings show that energy use stabilizes as gross value added increases, but there is insufficient evidence to support the inverse U-shaped relationship proposed by the EEKC hypothesis.
Article
Social Sciences, Interdisciplinary
Sarah Hakeem, Saghir Pervaiz Ghauri, Rizwan Raheem Ahmed, Dalia Streimikiene, Justas Streimikis
Summary: This study expands the discussion on social spending in developing countries by examining the social policy reactions of democratic and non-democratic regimes in SAARC countries to globalization. The results show support for both efficiency and compensation theories, depending on the type of globalization indicator considered. However, it is not accurate to assume that the efficiency thesis applies to all developing countries. The analysis of SAARC countries using TSCS data technique reveals that trade openness tends to increase social spending, while financial openness tends to reduce it, and the role of democracy in counterbalancing these effects is not significant.
SOCIAL INDICATORS RESEARCH
(2023)
Article
Economics
Facang Zhu, Qiule Shi, Tomas Balezentis, Chonghui Zhang
Summary: E-commerce provides opportunities to extend the market and plays a vital role in modern economy. This study analyzes the impact of e-commerce and R&D on firm output in China's manufacturing sector. The findings suggest that both e-commerce and R&D have a positive effect on output growth, with R&D being more influential. The inter-industry network externalities of e-commerce have a significant positive impact on production growth, while the intra-industry network externalities are significantly negative, indicating a potential reduction in output for certain companies.
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
(2023)
Article
Green & Sustainable Science & Technology
Dan Liu, Yushan Li, Jia You, Tomas Balezentis, Zhiyang Shen
Summary: Transitioning to environmentally friendly economic growth is crucial for achieving sustainable development. Digital inclusive finance (DIF) plays a crucial role in promoting green and low-carbon development. This study examines the impact of DIF on green total factor productivity (GTFP) growth and its mechanisms in China's agricultural sector. The results show that DIF significantly contributes to GTFP growth by promoting information channels and fostering green technology innovation.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Business
Neringa Ramanauske, Tomas Balezentis, Dalia Streimikiene
Summary: Increasing population and economic growth have resulted in higher demand for food, livestock feed, and energy, leading to negative impacts on the environment and climate change. Tensions and price fluctuations in international material supply chains are posing challenges. Limited availability of biomass requires increasing efficiency in its use and comparing it with non-biomass resources. This study analyzes the use of biomass and non-biomass resources in selected European countries, finding higher efficiency in biomass use and the need for decoupling material consumption and economic growth.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Environmental Studies
Yaxian Wang, Tomas Balezentis
Summary: As the share of renewable energy increases in the energy-mix, tracking the dynamics and determinants of energy intensity (EI) is a crucial issue in energy economics related to power resilience. A novel generalized Divisia index (GDI) model combined with the Tapio index is proposed to decompose the intensity factors, with a case study of China's power sector from 2000 to 2020. The results show that although energy efficiency has improved during the period of 2000-2020, the complexity of reducing EI has increased from 2006-2010 to 2016-2020, and provincial EI exhibits a distribution trend of high in the north and low in the south, high in the east and low in the west. The decomposition results indicate that energy consumption is the main factor contributing to EI increase, while energy structure and technology are the major forces contributing to EI mitigation. Most provinces show a decoupling status between power output/energy consumption and EI, but the decoupling situation is unstable and the difficulty of decoupling has increased since 2016-2020.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Environmental Studies
Xiaodong Chen, Min Yang, Zeng Li, Tomas Balezentis, Fang Wang
Summary: This paper proposes a total-factor rebound effect model that combines the Fixed effects model, Data Envelopment Analysis, and Luen-berger Productivity Indicator. The model can assess performance in the industrial sector and measure technological change and rebound effect. The results show that switching from natural to managerial disposability improves energy rebound effect while reducing NOx and SO2 emissions rebound effect.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)