Review
Materials Science, Multidisciplinary
Li-yuan Liu, Hong-guang Ji, Xiang-feng Lu, Tao Wang, Sheng Zhi, Feng Pei, Dao-lu Quan
Summary: The impact of greenhouse gas emissions on mining activities is significant and worrisome. The mining industry is a major contributor to greenhouse gases, with emissions released directly and indirectly. Climate change affects mineral production directly, and assessing GHG emissions through inventory models is crucial for monitoring gas release from mines.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS
(2021)
Article
Food Science & Technology
Ignacio Perez-Dominguez, Agustin del Prado, Klaus Mittenzwei, Jordan Hristov, Stefan Frank, Andrzej Tabeau, Peter Witzke, Petr Havlik, Hans van Meijl, John Lynch, Elke Stehfest, Guillermo Pardo, Jesus Barreiro-Hurle, Jason F. L. Koopman, Maria Jose Sanz-Sanchez
Summary: The short atmospheric lifespan of methane has significant implications for the design of global climate change mitigation policies in agriculture. The choice of metrics for methane's warming potential is crucial in determining optimal mitigation options. Promoting low-meat diets can be more effective in reducing greenhouse gas emissions compared to carbon pricing.
Article
Environmental Sciences
JinTong Wei, Shumaila Khan
Summary: This study examines the relationship between climate risk, natural resource exploration strategy, and climate change mitigation in BRICS economies. It suggests green recovery as a way to promote environmental protection and reduce climate risks. The findings highlight the significance of environmental mitigation, financial strength, and carbon risks in BRICS countries, and emphasize the association between climate risks and environmental drift.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Yuanchao Hu, Meirong Su, Limin Jiao
Summary: Agriculture contributes significantly to greenhouse gas (GHG) emissions and is crucial for achieving global climate goals. However, the specific opportunities for reducing agricultural GHG emissions at sub-national and food-specific scales are not well understood. In this study, we analyzed agricultural GHG emissions in mainland China from 2000 to 2020 and identified Hunan province, rice cultivation, enteric fermentation, and CH4 as the largest emission sources by region, product group, process, and gas, respectively. Agricultural emissions peaked in 2015, decreased temporarily by 8% by 2020, and are projected to decline by 30-36% by 2060, primarily due to potential reductions in meat production in eastern and northern China. While emissions and land use per unit of food product generally decreased, emissions per unit of land use increased in many regions and food groups. Our findings highlight the opportunities and challenges for GHG mitigation in the top emitters in central China and marginal agriculture in the northeast.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Multidisciplinary Sciences
Francesco Pietro Colelli, Johannes Emmerling, Giacomo Marangoni, Malcolm N. Mistry, Enrica De Cian
Summary: This study reveals that climate adaptation can lead to higher energy demand, power system costs, and carbon prices, but the benefits of mitigation can offset decarbonization costs. Adaptation actions increase power generation capacity and costs, but in ambitious mitigation scenarios, energy system costs may be lower or even negative due to reduced adaptation needs.
NATURE COMMUNICATIONS
(2022)
Article
Environmental Sciences
Jing Cao, Mun Ho, Qingfeng Liu
Summary: This study finds that climate actions in China have mainly focused on CO2 mitigation and have not comprehensively studied the impact of non-CO2 greenhouse gases. By developing a multi-sector dynamic model, we compare the economic impact of CO2-only mitigation with a multi-GHG mitigation policy that also prices non-CO2 GHGs. The results show that the multi-GHG approach significantly reduces the marginal abatement cost and economic loss compared to a CO2-only scenario.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Tek B. Sapkota, Fahmida Khanam, Gokul Prasad Mathivanan, Sylvia Vetter, Sk Ghulam Hussain, Anne-Laure Pilat, Sumona Shahrin, Md Khaled Hossain, Nathu Ram Sarker, Timothy J. Krupnik
Summary: Climate change has significant implications for agricultural systems, with adaptation being a priority. Cost-effective mitigation options in agriculture not only contribute to food security, but also reduce the extent of climate change and future adaptation needs. By analyzing GHG emissions in crop and livestock production and identifying mitigation measures, there is potential for significant reduction in emissions through climate-smart agricultural techniques.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Marit Ellen Kragt, Rob Burton, Alexander Zahl-Thanem, Pia Piroschka Otte
Summary: Agricultural activities significantly contribute to global anthropogenic greenhouse gas emissions, and farmers' willingness to adopt mitigation practices depends on financial implications. A study in Norway reveals low knowledge of crowdfunding among farmers but indicates interest in using it to finance climate change mitigation. Properly designed crowdfunding campaigns could effectively engage certain groups of farmers in on-farm climate change mitigation.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Studies
Alienor Jue Hammer, Charles Millar, Sebastian John Hennige
Summary: This article highlights the greenhouse gas emissions in the Scottish salmon aquaculture industry and calls for the development of comprehensive emissions reductions measures. Case studies of two aquaculture operators and comparison with data from the Carbon Disclosure Project reveal imbalances in mitigation strategies and identify potential routes for carbon emission reductions.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Article
Engineering, Aerospace
Nicolas Flagey, Kahea Thronas, Andreea O. Petric, Kanoa Withington, Michael J. Seidel
Summary: The text discusses the carbon emissions of CFHT in 2019 and emphasizes the importance of individuals and corporations reducing their carbon footprint to address the climate change crisis. Suggestions for decreasing emissions are provided, and the progress made by CFHT in reducing emissions is highlighted.
JOURNAL OF ASTRONOMICAL TELESCOPES INSTRUMENTS AND SYSTEMS
(2021)
Article
Environmental Studies
FengSheng Chien, Ka Yin Chau, Muhammad Sadiq
Summary: Climate degradation is a global issue, and addressing it requires focusing on climate change mitigation technologies and the efficient use of natural resources. This study examines the impact of climate mitigation technology (renewable energy production and consumption) and natural resource management (natural resource rent and depletion) on climate change (greenhouse gas emissions) in China. The findings show that renewable energy output, consumption, natural resource rent, and depletion are negatively associated with greenhouse gas emissions in China, while industrialization and population growth have a positive association. This research provides guidance for policymakers in formulating regulations related to climate change using mitigation technologies and optimizing natural resource usage.
Article
Energy & Fuels
Hossein Yousefi, Armin Ardehali, Mohammad Hasan Ghodusinejad
Summary: This paper examines the performance of BRICS and G7 countries in the field of energy and environment and provides recommendations for future policies and strategies. The findings show that BRICS countries excel in renewable energy utilization, while developed economies perform better in terms of energy efficiency. Policy recommendations include prioritizing environmental taxes and investing in clean technologies for mature economies, and achieving a balanced energy transition for BRICS nations.
ENERGY STRATEGY REVIEWS
(2023)
Article
Environmental Sciences
H. Cooper, S. Sjogersten, R. M. Lark, S. J. Mooney
Summary: Zero-tillage can reduce GHG emissions, increase soil carbon storage, and mitigate against climate change.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Review
Environmental Sciences
Abhinandan Kumar, Pardeep Singh, Pankaj Raizada, Chaudhery Mustansar Hussain
Summary: The global outbreak of COVID-19 has had a significant impact on greenhouse gas emissions and the environment, resulting in lower CO2 levels and reduced GHG emissions. Through a systematic review of scientific literature, the study compares GHG emissions data from different periods and discusses the impacts of COVID-19 on the global economy and energy.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Nicoleta Mihaela Florea, Georgeta-Madalina Meghisan-Toma, Silvia Puiu, Flaviu Meghisan, Marius Dalian Doran, Mariana Niculescu
Summary: The study examined the long-term impact of environmental taxation and government expenditure on environmental protection in Romania on greenhouse gas emissions, as well as short-term and long-term causal relationships between greenhouse gas emissions and green taxes. The results indicate significant long-term influence of government spending on environmental protection on greenhouse gas emissions, and various short-term and long-term causal relationships between greenhouse gas emissions and green taxes.
Review
Computer Science, Information Systems
Sarbast Moslem, Mahyar Kamali Saraji, Abbas Mardani, Ahmad Alkharabsheh, Szabolcs Duleba, Domokos Esztergar-Kiss
Summary: The current study provides a thorough review of transportation problems using the Analytic Hierarchic Process (AHP) and analyzes 58 papers published from 2003 to 2019. The results show that most researchers applied the conventional AHP method to address transportation issues, with public transport being the most critical problem, followed by logistics problems. AHP was commonly integrated with TOPSIS when dealing with multi-criteria transportation problems. The study contributes by extending the use of AHP in decision-making support and positively impacting technological and socio-economic development in the transportation sector.
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
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
Information Science & Library Science
Jing Gao, Wanfei Zhang, Tao Guan, Qiuhong Feng, Abbas Mardani
Summary: The servitization transformation is an important strategic planning and development trend for Chinese small and medium-sized enterprises (SMEs) in manufacturing to break through the low-end locking of the global value chain and achieve high-quality transformation and upgrading. Digital transformation plays a significant role in promoting the servitization of SMEs in manufacturing. However, the servitization level of Chinese SMEs in manufacturing is not high and its development is not balanced.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(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
Computer Science, Information Systems
N. Sai Snehitha Reddy, Raghunathan Krishankumar, S. Shanmugha Priya, Fausto Cavallaro, Abbas Mardani, Kattur Soundarapandian Ravichandran
Summary: Globally, industries are focusing on green habits and clean energy in response to the demand for net zero carbon emissions. The Internet of Things (IoT) shows potential opportunities in the clean energy sector for improving production and management quality. This paper proposes a Fermatean fuzzy-based decision framework to prioritize adoption barriers and help promote IoT adoption in the clean energy sector.
Article
Operations Research & Management Science
Kerui Yu, Qun Wu, Xiaoqing Chen, Weizhong Wang, Abbas Mardani
Summary: Sustainable management is a responsible business philosophy that is widely accepted. The ESG principle is used to evaluate the environmental and social responsibility of companies. This paper proposes an integrated MCDM framework combining the IT2FAHP and IT2F-CoCoSo methods for evaluating the ESG sustainable performance of listed companies.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
S. S. Ganji, Abbas Mardani, Dong Ling Xu, Saeb Heidarighadikolaei
Summary: This study proposes a new hybrid measurement technique called PCE-ERPC to address some of the shortcomings of data envelopment analysis (DEA) in assessing airport performance. The technique incorporates decision makers' preferences and reflects them in the three stages of cross-efficiency method (CEM): cross-efficiency matrix generation, cross-efficiency weight matrix generation, and cross-efficiency aggregation. The findings show that PCE-ERPC reaches consensus slightly faster than the traditional approach.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Lu Xiao, Zhen-Song Chen, Rui Hou, Abbas Mardani, Miroslaw J. Skibniewski
Summary: This paper studies the impact of greenness-based subsidy policy and dual credit policy on the market of new energy vehicles (NEVs) and fuel vehicles (FVs). The results show that both policies can improve the market share and competitiveness of NEVs under certain conditions. The subsidy policy is beneficial for social welfare, while the dual credit policy is harmful. Both policies can have a positive effect on promoting sales and profits of NEVs under different conditions.
COMPUTERS & INDUSTRIAL ENGINEERING
(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
Xiaochuan Guo, Mengmeng Li, Yanlin Wang, Abbas Mardani
Summary: Based on the resource-based view and upper echelons theory, this study examines the impact of digital transformation on total factor productivity and firm performance, as well as the moderating effect of managerial myopia, using data on Chinese A-share listed companies from 2013 to 2020. The findings indicate that digital transformation significantly increases total factor productivity but reduces firm performance due to increased operational cost rate, decreased total asset turnover, and increased management expenses. Managerial myopia amplifies the negative effects of digital transformation. Low or high levels of digital transformation are not beneficial for firm performance, while moderate levels of digital transformation can significantly improve firm performance. The negative impact of digital transformation on firm performance is greater for labor-intensive enterprises. This study contributes to the resource-based view and upper echelons theory, and expands research on the economic consequences of digital transformation in developing countries.
JOURNAL OF BUSINESS RESEARCH
(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)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)