Article
Multidisciplinary Sciences
Wesley W. Ingwersen, Mo Li, Ben Young, Jorge Vendries, Catherine Birney
Summary: USEEIO v2.0 is an environmental-economic model that can be used for various applications related to US goods and services. This paper describes the development of the model, introduces the model dataset and supporting datasets, and discusses the improvements made compared to previous versions. The model is validated through the reproduction of national totals and analysis of changes.
Article
Green & Sustainable Science & Technology
Ivan Henderson V. Gue, Raymond R. Tan, Anthony S. F. Chiu, Aristotle T. Ubando
Summary: Conventional economic systems' unsustainable use of natural resources has become a problem. Circular Economy is a framework that prioritizes material loops to improve resource efficiency. While many countries have started adopting Circular Economy principles, there is a lack of scientific analysis on its implementation in developing countries.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Anne de Bortoli, Maxime Agez
Summary: Industries struggle to build robust environmental transition plans as they lack the tools to quantify their ecological responsibility over their value chain. Companies mostly turn to sole greenhouse gas (GHG) emissions reporting or time-intensive Life Cycle Assessment (LCA), while Environmentally-Extended Input-Output (EEIO) analysis is more efficient on a wider scale. We illustrate EEIO analysis' usefulness to sketch transition plans on the example of Canada's road industry, including estimation of national environmental contributions, most important environmental issues, main potential transition levers of the sector, and metrics prioritization for green purchase plans.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Calvin Jones
Summary: Tourism is a significant contributor to anthropogenic climate change, but there is limited information on its total greenhouse gas emissions, particularly at the sub-national level. This study estimates the carbon footprint of inbound and domestic tourism in Wales using an environmentally extended input-output approach. The results show that in 2019, tourism accounted for around 3.4 megatons of greenhouse gas emissions, representing 8.7% of the region's total emissions. Comparison with 2007 estimates suggests a modest reduction in emissions, but data issues limit comparability. The slow progress in decarbonization, coupled with an increase in intercontinental visits, indicates that the tourism industry in Wales has yet to undergo a climate-responsible transformation.
JOURNAL OF SUSTAINABLE TOURISM
(2023)
Article
Chemistry, Multidisciplinary
Mo Li, Wesley W. Ingwersen, Ben Young, Jorge Vendries, Catherine Birney
Summary: useeior is an open-source R package used to build USEEIO models, aiming to simplify the model building process and improve transparency, efficiency, and flexibility.
APPLIED SCIENCES-BASEL
(2022)
Article
Green & Sustainable Science & Technology
Andre F. T. Avelino, Patrick Lamers, Yimin Zhang, Helena Chum
Summary: Expanding the domestic bioeconomy can help diversify the use of national resources and reduce emissions. Evaluating the sustainability of a growing bioeconomy is complex and requires a comprehensive analysis framework. Analysis of the evolution of biofuel industry in the US shows increased impacts on energy, but decreased environmental impacts on an energy-unit basis over time due to industry maturation and scale-up.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Economics
Fangmiao Hou, Haiying Su, Can Liu, Xinxuan Lin, Fengyuan Zuo, Hui Xiao
Summary: The study found that China has higher carbon emissions in its paper exports compared to imports, indicating that the country's manufacturing and exporting of paper products lead to high carbon emissions domestically. Furthermore, the potential carbon leakage resulting from production-based carbon emissions accounting is being ignored. To reduce carbon emissions and participate more efficiently in global value chains, China needs to upgrade its manufacturing technologies and processes.
FOREST POLICY AND ECONOMICS
(2022)
Article
Environmental Sciences
Adrianus Amheka, Hoa Thi Nguyen, Krista Danielle Yu, Robert Mesakh Noach, Viknesh Andiappan, Vincent Joseph Dacanay, Kathleen Aviso
Summary: This study analyzes how ASEAN nations can achieve carbon reduction targets while aspiring for economic growth, using a multi-regional input-output model. The results show that implementing multiple carbon reduction strategies can lead to significant reductions in regional emissions, and sectors such as services, agriculture, and food manufacturing have the potential for economic growth under carbon reduction constraints. The study also highlights the importance of considering the interdependencies between nations in understanding carbon emissions.
CARBON BALANCE AND MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Franco Donati, Sidney Niccolson, Arjan de Koning, Bart Daniels, Maarten Christis, Katrien Boonen, Theo Geerken, Joao F. D. Rodrigues, Arnold Tukker
Summary: Global environmental and resource issues demand new ways of managing resource production and consumption, requiring decision-makers at multiple levels to make complex decisions. Clear analysis and scenario modeling are crucial, alongside the need for user-friendly tools as databases and models become more sophisticated. The RaMa-Scene web platform aims to reduce barriers by enabling users to easily visualize the diverse impacts of circular economy interventions.
JOURNAL OF INDUSTRIAL ECOLOGY
(2021)
Article
Environmental Sciences
Hanfei Wu, Ao Liu, Ruochen Jin, Li Chai
Summary: This study used a high-resolution Multi-Regional Input-Output model to analyze the interregional flows of virtual cropland in China in 2015. The results showed that Heilongjiang, Inner Mongolia, and Jilin were the largest contributors to virtual cropland, while Guangdong, Zhejiang, and Shandong were the largest receivers. The majority of virtual flows were embodied in cereals, followed by sugar crops, other crops, legumes, and vegetables. Heilongjiang, Xinjiang, and Guangxi dominated the virtual outflows of legumes, fruits, and oilseeds, respectively. This study provides important information for policymakers to understand the spatial transfer pattern of virtual cropland and design effective measures for sustainability.
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2022)
Article
Ecology
Huibin Du, Huiwen Liu, Zengkai Zhang
Summary: This study examines the air pollutants and economic benefits in consumption in the Beijing-Tianjin-Hebei region using a city-level input-output table. The results show an unequal exchange of air pollution and economic benefits between different cities, providing evidence for the establishment of compensation mechanisms.
ECOLOGICAL ECONOMICS
(2022)
Article
Environmental Studies
Cristian Mardones
Summary: This study analyzes the short-term effects of international trade interruptions on the economy, with Russia being the most affected country with a significant drop in production. European countries with strong trade relations with Russia will also suffer major losses.
EUROPEAN PLANNING STUDIES
(2023)
Article
Green & Sustainable Science & Technology
Stanislav Shmelev, Harrison Roger Brook
Summary: This paper proposes a comparative sustainability assessment method using environmentally extended input-output analysis and multi-criteria decision aid, identifying key intervention pathways for sustainable development. The study shows that education, health care, construction, and financial intermediation sectors frequently rank at the top of the hierarchy in each country, with significant differences in results for China due to its economic activity concentration on primary/secondary sectors. Discussions on country-specific recommendations and reflections on economic and sustainability policy initiatives are provided.
Article
Green & Sustainable Science & Technology
Csilla Demeter, Pei-Chun Lin, Ya-Yen Sun, Sara Dolnicar
Summary: The tourism industry contributes eight percent to global carbon emissions, with traditional Life Cycle Assessment being expensive and requiring expert data analysts. In contrast, Environmentally Extended Input-Output Analysis offers a cheaper and more user-friendly alternative for estimating indirect carbon emissions.
JOURNAL OF SUSTAINABLE TOURISM
(2022)
Article
Thermodynamics
Arkaitz Usubiaga-Liano, Inaki Arto, Jose Acosta-Fernandez
Summary: The number of input-output assessments focused on energy has increased, with a quarter of them estimated to have double accounting issues. Recommendations are provided to users to avoid this problem, and experts are called upon to harmonize energy data across databases.
Article
Engineering, Environmental
Steffen Schellenberger, Ioannis Liagkouridis, Raed Awad, Stuart Khan, Merle Plassmann, Gregory Peters, Jonathan P. Benskin, Ian T. Cousins
Summary: The emission of per- and polyfluoroalkyl substances (PFAS) from functional textiles was investigated through an outdoor weathering experiment. It was found that the textiles released low molecular weight PFAS substances after continuous exposure to natural stressors, and the color and water repellency of the textiles were also affected.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Economics
Mengyu Li, Manfred Lenzen, Luis E. Pedauga, Arunima Malik
Summary: The frequency of disasters is increasing, highlighting the need for accurate assessment of their impact on supply chains. This study presents an improved analysis approach that takes into account the priorities of decision-makers and realistically evaluates the effects of disasters on different sectors.
SPATIAL ECONOMIC ANALYSIS
(2022)
Article
Green & Sustainable Science & Technology
Marta Behjat, Magdalena Svanstrom, Gregory Peters
Summary: This study compares the life cycle environmental impacts of dairy wastewater treatment and phosphorus recovery technologies. The results show that conventional dairy wastewater treatment processes still contribute significantly to eutrophication, while most phosphorus recovery technologies have lower global warming potentials and cumulative energy demands.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Nutrition & Dietetics
Navoda Nirmani Liyanapathirana, Amanda Grech, Mengyu Li, Arunima Malik, Manfred Lenzen, David Raubenheimer
Summary: This study integrates input-output analysis and nutritional geometry to assess the sustainability of the Australian macronutrient dietary guidelines (AMDR). The study found that diets adhering to the guidelines were associated with moderate environmental and economic impacts. However, only about 20.42% of participants followed the guidelines. Encouraging the consumption of plant protein to meet the lower limit of recommended protein intake could improve dietary sustainability in Australia.
AMERICAN JOURNAL OF CLINICAL NUTRITION
(2023)
Article
Engineering, Environmental
Zhan-Ming Chen, Peilin Chen, Manfred Lenzen, Baigao Xiao, Arunima Malik
Summary: This study constructs a dynamic energy input-output model to analyze the embodied energy flows and stocks from 2000 to 2014. The results show that the global fixed capital stock stored a significant amount of embodied energy, which was three times the world's direct energy use. The gaps between the dynamic energy footprints and the traditional ones were larger in fast-developing countries. Net embodied energy usually flowed from high-intensity economies to lower-intensity economies.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Kylie Goodwin, Cameron Allen, Soo Huey Teh, Mengyu Li, Jacob Fry, Manfred Lenzen, Serena Farrelly, Constanza Leon, Sophie Lewis, Guangwu Chen, Heinz Schandl, Thomas Wiedmann
Summary: In 2019, the Australian Capital Territory (ACT) government aimed to prioritize the reduction of Scope 3 greenhouse gas emissions that had not been fully quantified before. This study assessed the total carbon footprint of ACT in 2018, including Scope 1, 2, and 3 emissions, and modeled scenarios to achieve a 1.5°C target approach. The analysis utilized a nested and trade-adjusted global multi-region input-output model, providing insights into the global origins and destinations of emissions.
ENVIRONMENTAL SCIENCE & POLICY
(2023)
Article
Engineering, Environmental
Yutong Jin, Manfred Lenzen, Alejandro Montoya, Bronwyn Laycock, Zhiguo Yuan, Paul Lant, Mengyu Li, Richard Wood, Arunima Malik
Summary: Plastics, despite their versatility, are harmful to the environment due to pollution. Research aims to find natural substitutes for non-degradable plastics by replacing oil-based feedstocks with renewable ones. The study uses a global analysis to explore the implications of transitioning to biobased plastics, finding potential emission reductions, job creation, and increased land use.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Multidisciplinary Sciences
Xiuzhi Chen, Yue Hou, Thomas Kastner, Liu Liu, Yuqian Zhang, Tuo Yin, Mo Li, Arunima Malik, Mengyu Li, Kelly R. Thorp, Siqi Han, Yaoze Liu, Tahir Muhammad, Jianguo Liu, Yunkai Li
Summary: This study identifies and quantifies the flows of physical and virtual nutrients within the global agricultural trade network. The study shows that these flows have varying effects on natural resources in different countries. The findings suggest that reducing inefficient trade flows can enhance resource conservation and environmental sustainability. These results are important for understanding the global nutrient dynamics and improving nutrient use efficiency in a hyper-globalized world.
NATURE COMMUNICATIONS
(2023)
Article
Economics
Mengyu Li, Lorenz Keysser, Jarmo S. Kikstra, Jason Hickel, Paul E. Brockway, Nicolas Dai, Arunima Malik, Manfred Lenzen
Summary: Empirical evidence suggests that high-income economies may need to adopt degrowth policies along with renewable energy deployment to achieve rapid decarbonisation. However, existing energy-economy-emission models have not included degrowth scenarios due to their growth-oriented framework. In this study, the IAM MESSAGEix is modified to be compatible with degrowth scenarios, resulting in reduced production and emissions in a simulated high-income economy.
ECONOMIC SYSTEMS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Arunima Malik, Guillaume Lafortune, Salma Dahir, Zachary A. Wendling, Christian Kroll, Sarah Carter, Mengyu Li, Manfred Lenzen
Summary: Globalization has led to increased reliance on imported commodities for consumption, especially for the European Union. This study assesses the environmental and social impacts of the EU's demand for food products outside of its borders.
GLOBAL SUSTAINABILITY
(2023)
Letter
Food Science & Technology
Mengyu Li, Manfred Lenzen, Arunima Malik, David Raubenheimer
Article
Environmental Sciences
Fiona H. M. Tang, Arunima Malik, Mengyu Li, Manfred Lenzen, Federico Maggi
Summary: This study quantifies the environmental impacts of pesticide use in 82 countries and territories, finding that the global per-capita pesticide footprint is significant. It also highlights the role of China, Germany, and the UK as major net importers, and the USA, Brazil, and Spain as major net exporters.
COMMUNICATIONS EARTH & ENVIRONMENT
(2022)
Article
Food Science & Technology
Arunima Malik, Mengyu Li, Manfred Lenzen, Jacob Fry, Navoda Liyanapathirana, Kathleen Beyer, Sinead Boylan, Amanda Lee, David Raubenheimer, Arne Geschke, Mikhail Prokopenko
Summary: Disasters resulting from climate change and extreme weather events have negative impacts on crop and livestock production. While the direct impacts are well-known, the indirect supply-chain repercussions are still unclear. This study estimates the social and health impacts of disruptions in food supply chains and finds that the effects are wide-ranging due to the interconnected nature of supply chains.
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)
