Article
Green & Sustainable Science & Technology
Yaling Deng, Daming You, Yang Zhang
Summary: Tax competition has both direct and indirect effects on green technology innovation, by influencing both enterprise's effort and local government's governance under environmental regulation constraint. Effective control of income taxes and low-carbon technology innovation rewards through tax competition can improve strategies. Cost sharing decision-making mode can be a Pareto improvement for regional low-carbon technology stock with effective control of the cost sharing coefficient.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Environmental Sciences
Fuqiang Wang, Huimin Li, Yongchao Cao, Chengyi Zhang, Yunlong Ran
Summary: This study explores the dynamic strategy and benefits of knowledge sharing (KS) in the green supply chain (GSC) using differential game method. The results show that under centralized decision-making, the KS efforts of suppliers and manufacturers are the highest, resulting in the best knowledge accumulation and emission reduction benefits in the GSC. Cost-sharing mechanism can further improve the supplier's KS effort level. Additionally, carbon trading price and knowledge decay rate have significant impacts on KS.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Thermodynamics
Peide Liu, Xina Li, Jialu Li
Summary: This study investigates the diffusion degree of low-carbon technology in competitive firms and the impact of different pollution regulations. By analyzing the effects of carbon quotas, tax rates, and subsidy rates, the study assesses the performance of these mechanisms in terms of diffusion degree, firm profits, consumer surplus, environmental damage, and social welfare. The results reveal distinct outcomes for each environmental mechanism, with the subsidy mechanism promoting the highest diffusion degree but leading to more environmental pollution, while the carbon tax mechanism proves to be effective in reducing pollution.
Article
Green & Sustainable Science & Technology
Yinping Mu, Juan Zhao
Summary: Given the significant contribution of the manufacturing industry to carbon emissions, governments have implemented carbon emission-related policies to incentivize manufacturers to optimize production or invest in green technology. It is important to assess the effectiveness of these policies considering manufacturers prioritize economic profits. This study compares the effects of three carbon emission policies - carbon tax, cap-and-trade, and intensity target - on manufacturers' production strategies and technology innovation investments.
Article
Green & Sustainable Science & Technology
Tengfei Shi, Fengxia Han, Lan Chen, Jianwei Shi, Hanjie Xiao
Summary: As climate change worsens, governments and enterprises are increasingly emphasizing value creation through low-carbon technology innovation. However, challenges such as low innovation capability, the need for improved government regulation, and low investment from financial institutions hinder value creation.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Mathematics, Interdisciplinary Applications
Cuicui Zheng
Summary: The study focused on utilizing decision-making experiments and evaluation laboratory methods to establish an optimized interpretation structure model for exploring the main influencing factors of collaborative innovation in low-carbon technologies through online knowledge sharing. A network evolution game model was constructed to analyze the impact of rewards, punishments, profit distribution rates, and knowledge potential differences on the network knowledge sharing cooperation strategy, aiming to achieve an optimal evolutionary stable strategy. Simulation results provided insights for improving the overall knowledge synergy effect within the network knowledge sharing and cooperation network.
Article
Green & Sustainable Science & Technology
Huiqin Zhang, Ping Li, Hong Zheng, Yuxiang Zhang
Summary: The study developed four models based on Stackelberg game theory to investigate production and operation strategies of two manufacturers in a co-opetition supply chain under a carbon tax mechanism. Optimal strategies were derived and the effects of carbon tax and market competition on low-carbon product selection were analyzed.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Business
Hongwei Yu, Fei Peng, Taiping Yuan, Dandan Li, Daqian Shi
Summary: This study examines the Porter hypothesis through China's Low-carbon Pilot Policy and finds that the policy significantly promotes low-carbon technological innovation in industries with high carbon emissions in pilot cities. However, the testing results may vary depending on firms' characteristics.
JOURNAL OF INNOVATION & KNOWLEDGE
(2023)
Article
Green & Sustainable Science & Technology
Hua Wang, Lan Wang
Summary: Under the constraints of government's carbon tax policy, manufacturers need to consider developing low-carbon product lines or adjusting existing product lines to promote carbon reduction. The study finds that manufacturers prefer to produce both low-carbon and ordinary products, but this may have worse negative impacts on the environment.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Green & Sustainable Science & Technology
Hua Pan, Huimin Zhu, Minmin Teng
Summary: Carbon abatement is crucial for achieving the double carbon goal in the power sector, and blockchain technology is a promising tool to facilitate this. This study proposes four decision models to analyze the changes in electricity price, sustainability level, power sales, and profits in the electricity supply chain. The analysis shows that user preference for blockchain technology and increased uploading of low-carbon electricity information can significantly improve the sustainability level of the electricity supply chain.
Article
Green & Sustainable Science & Technology
Xiao Yu, Yingdong Xu, Jian Zhang, Yue Sun
Summary: The economic uncertainty caused by COVID-19 has led governments around the world to attach more importance to green innovation for carbon reduction. This study examines the synergy green innovation effect between green innovation subsidies and a unit progressive carbon tax. The research findings show that the combination of these two policies can stimulate green innovation in enterprises, especially those with high levels of low carbon technology.
Article
Green & Sustainable Science & Technology
Xin Huang
Summary: This paper studies a dual-market low-carbon supply chain operation in urban and rural markets, involving one manufacturer and two retailers. The research finds that government intervention can increase technology innovation efforts and decrease advertising efforts, and joint store promotion under government intervention can further improve the profits of the manufacturer and retailers. Furthermore, the manufacturer's technological innovation strategy relies more on the price and promotion preferences of urban consumers. The research results provide valuable suggestions for improving the economic and environmental performance of the low-carbon supply chain in the dual market.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Faisal M. Alkaabneh, Jun Lee, Miguel Gomez, Huaizhu Oliver Gao
Summary: This study examines the impact of carbon emission reduction measures on the US apple supply chain using a mathematical model, finding that developing storage technologies with lower carbon emission rates holds the greatest potential for emission reduction. However, carbon taxes, while also effective in reducing emissions, may lead to decreased apple production and increased consumer prices.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Jianli Luo, Mingjun Hu, Minmin Huang, Yanhu Bai
Summary: Low-carbon agriculture is crucial for sustainable development, and technological innovation is the key to transforming agriculture towards low-carbon production. This study developed a game model involving agricultural enterprises, universities, and the government to examine low-carbon technology innovation. The simulation results show that collaborative innovation and government subsidies are effective in promoting low-carbon agriculture development. The findings provide a theoretical basis for government policies to promote scientific and technological progress and develop low-carbon agriculture.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Faris Ahmad Fadzil, Viknesh Andiappan, Denny K. S. Ng, Lik Yin Ng, Anuar Hamid
Summary: The research shows that sharing carbon permits among plant operators under a carbon permit scheme can increase profits and reduce waste emissions. Cooperative game theory is used to determine fair profit allocation, offering a new optimization framework for industrial symbiosis systems.
JOURNAL OF CLEANER PRODUCTION
(2022)
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)