News Item
Multidisciplinary Sciences
David T. Ho
Summary: Reducing emissions significantly is a priority, as carbon dioxide removal will have little impact otherwise.
News Item
Multidisciplinary Sciences
Mohammad Ali Rajaeifar, Oliver Belcher, Stuart Parkinson, Benjamin Neimark, Doug Weir, Kirsti Ashworth, Reuben Larbi, Oliver Heidrich
Summary: Armed forces have a significant impact on global carbon emissions, but their contribution is not considered in global accounting methods.
Editorial Material
Multidisciplinary Sciences
Saleem H. Ali
Summary: The advancement of green technologies relies on a secure supply of essential metals.
Editorial Material
Multidisciplinary Sciences
Geeta G. Persad, Bjorn H. Samset, Laura J. Wilcox
Summary: The article points out that estimates of regional change and climate extremes risks often overlook a significant player.
Article
Business, Finance
Maurice Dumrose, Andre Hoeck
Summary: Global efforts to mitigate climate change can create risks and opportunities for companies and investors. This study shows that companies' carbon-risk exposure and management significantly affect their credit-risk, and this relationship is moderated by the regulatory environment.
FINANCE RESEARCH LETTERS
(2023)
Article
Energy & Fuels
Pilar Gargallo, Luis Lample, Jesus A. Miguel, Manuel Salvador
Summary: This paper examines the potential of combining clean energy stocks and emission permits in a portfolio to reduce downside risk, proposing a strategy that takes into account their dynamic price relationship. Using multivariate GARCH models, the study shows that investing in clean energy companies is valuable both for sustainable energy transition and financial attractiveness.
Article
Environmental Studies
Markus Johansson, David Langlet, Olof Larsson, Asa Lofgren, Niklas Harring, Sverker Jagers
Summary: Massive resource infusion and coordination between state and market actors are essential for developing and diffusing deep decarbonisation technologies. Policy-makers must carefully consider the diverging views on low carbon transition policies and interventions necessary for technological transformation. The absence of a one-size-fits-all policy highlights the importance of designing policies with consideration for market and technological investment risks to optimize climate benefits.
ENERGY RESEARCH & SOCIAL SCIENCE
(2021)
Article
Environmental Sciences
Thales A. P. West, Serajis Salekin, Nathanael Melia, Steve J. Wakelin, Richard T. Yao, Dean Meason
Summary: Investments in forestry are subject to long-term risks, including volatility from markets and impacts from climate change. Diversifying forest management regimes can mitigate these risks. Optimal forestry portfolios vary across scenarios and objectives, emphasizing the importance of considering future risks in management decisions.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Business, Finance
Hao Ding, Qiang Ji, Rufei Ma, Pengxiang Zhai
Summary: This study found that climate policy risk has a negative impact on the long-term correlations between high- and low-carbon assets, with varying effects across different asset categories. In situations of high climate policy risk, the effectiveness of low-carbon assets as a hedge against high-carbon assets is reduced, while diversified high-carbon portfolios incorporating low-carbon assets show improved performance.
FINANCE RESEARCH LETTERS
(2022)
Article
Agronomy
Pentile Thong, Uttam Thangjam, Uttam Kumar Sahoo, Raul Pascalau, Piotr Prus, Laura Smuleac
Summary: This study aims to investigate the climate change risk faced by agroforestry managers in urban and rural areas. Through a survey of 105 households, risk indicators were identified and a risk map was generated. The study found that urban agroforestry managers are more susceptible to climate change, and higher altitude households are more vulnerable.
News Item
Multidisciplinary Sciences
Katharine Sanderson
Summary: Governments and companies are pledging to reduce and offset carbon emissions, but the lack of robust strategies to accomplish their goals is evident.
Article
Business, Finance
Adrien Amzallag
Summary: Within Europe, investment funds are more exposed to climate-sensitive economic sectors than banks, insurers, and pension funds. However, few climate-related financial risk assessments of the fund sector have been conducted. Using 8 trillion EUR of fund portfolio holdings, this study reveals that funds with more polluting portfolios (brown funds) invest across more firms than funds with cleaner portfolios (green funds). While this diversification may seem beneficial, it masks a concentration risk: brown funds are more connected with each other and have more similar portfolios, indicating that they will face greater stress levels in the event of a climate-related financial shock.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2022)
Article
Green & Sustainable Science & Technology
Andrew Russell, Paul Sayers
Summary: This study focuses on changing flood risk in England, UK and the adaptation plans, finding that climate change, population growth, and adaptation have a significant impact on flood risk. Enhanced adaptation approaches can effectively reduce losses caused by floods.
Article
Business
Alexey Rubtsov, Wei Xu, Aleksandar Sevic, Zeljko Sevic
Summary: This study finds that climate uncertainty leads to a decrease in stock investment, affecting investor welfare. Even when climate risk hedging instruments are available, an increase in climate uncertainty still reduces investor welfare.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Editorial Material
Multidisciplinary Sciences
Philip W. Boyd, Lennart Bach, Richard Holden, Christian Turney
Summary: Pricing credits based on the amount, duration, and reliability of carbon removal would allocate funds to the most effective climate solutions.
Review
Green & Sustainable Science & Technology
Derek D. Wang, Toshiyuki Sueyoshi
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2018)
Article
Green & Sustainable Science & Technology
Derek Wang, Tianchi Li
Article
Economics
Derek D. Wang
SOCIO-ECONOMIC PLANNING SCIENCES
(2019)
Article
Environmental Studies
Derek D. Wang
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2019)
Article
Energy & Fuels
Toshiyuki Sueyoshi, Zemin Du, Derek Wang
Article
Management
Hyun-Soo Ahn, Derek D. Wang, Owen Q. Wu
Summary: Our analysis reveals that in the presence of debt, the optimal asset-selling policy must consider two opposing forces: an incentive to sell part of the asset early to secure debt payment and an incentive to delay selling the asset to capture revenue potential under limited liability.
OPERATIONS RESEARCH
(2021)
Article
Construction & Building Technology
Derek Wang, Zemin Du, Hao Wu
SUSTAINABLE CITIES AND SOCIETY
(2020)
Article
Computer Science, Interdisciplinary Applications
Derek D. Wang
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2019)
Proceedings Paper
Green & Sustainable Science & Technology
D. Wang
2017 INTERNATIONAL CONFERENCE ON NEW ENERGY AND FUTURE ENERGY SYSTEM (NEFES 2017)
(2017)
Article
Economics
Toshiyuki Sueyoshi, Mika Goto, Derek Wang
Article
Economics
Toshiyuki Sueyoshi, Derek Wang
Article
Energy & Fuels
Derek D. Wang, Toshiyuki Sueyoshi
Article
Business
Derek D. Wang
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2018)
Article
Economics
Toshiyuki Sueyoshi, Derek Wang
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)