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Jianfeng Guo
Institute of Science and Development, Chinese Academy of Sciences, Beijing 100190, China

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Journal article
Published: 06 April 2021 in International Journal of Environmental Research and Public Health
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The outbreak of coronavirus disease 2019 (COVID-19) inspires various conspiracy theories, which could divert public attention, alter human behaviors, and consequently affect the spread of the pandemic. Here we estimate the relation of the online attention on COVID-19-related conspiracy theories to human mobility, as well as to the numbers of confirmed COVID-19 cases, during 14 March 2020 to 28 August 2020. We observe that the online attention to COVID-19 conspiracy theories is significantly and negatively related to human mobility, but its negative impact is noticeably less than those of the attention to official information and personal protection measures. Since human mobility significantly promotes the spread of COVID-19, the attention to official information and personal protection measures lowers COVID-19 cases by 16.16% and 9.41%, respectively, while attention to conspiracy theories only reduces the COVID-19 cases by 6.65%. In addition, we find that in the states with higher online attention to COVID-19 conspiracy theories, the negative relation of the attention to conspiracy theories is much weaker than that in states where there is less concern about conspiracies. This study stresses the necessity of restricting the online transmission of unfounded conspiracy theories during a pandemic.

ACS Style

Fu Gu; Yingwen Wu; Xinyu Hu; Jianfeng Guo; Xiaohan Yang; Xinze Zhao. The Role of Conspiracy Theories in the Spread of COVID-19 across the United States. International Journal of Environmental Research and Public Health 2021, 18, 3843 .

AMA Style

Fu Gu, Yingwen Wu, Xinyu Hu, Jianfeng Guo, Xiaohan Yang, Xinze Zhao. The Role of Conspiracy Theories in the Spread of COVID-19 across the United States. International Journal of Environmental Research and Public Health. 2021; 18 (7):3843.

Chicago/Turabian Style

Fu Gu; Yingwen Wu; Xinyu Hu; Jianfeng Guo; Xiaohan Yang; Xinze Zhao. 2021. "The Role of Conspiracy Theories in the Spread of COVID-19 across the United States." International Journal of Environmental Research and Public Health 18, no. 7: 3843.

Journal article
Published: 28 October 2020 in Energies
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This study pioneers to investigate the impact of industry on the European Union carbon trading market based on network perspective. All the accounts in the European Union Emissions Trading System (EU ETS) are summarized at the industry level, and then the trading relationship between industries is constructed in the network layout. Based on this network, the centrality of each industry is measured—the industries of electricity, gas, steam and air conditioning supply (EGSAS), bank, broker, exchange, and wholesale trade excluding motor vehicles and motorcycles (WTEM) have higher centrality. Finally, the impact of industry on the evolution of networks is analyzed, Findings show that the financial intermediaries play important roles at the beginning of each phase, while their influences on the network will decrease as the market goes on. On the contrary, influences of some other industries like WTEM are gradually increasing.

ACS Style

Jiqiang Wang; Yinpeng Liu; Ying Fan; Jianfeng Guo. The Impact of Industry on European Union Emissions Trading Market—from Network Perspective. Energies 2020, 13, 5642 .

AMA Style

Jiqiang Wang, Yinpeng Liu, Ying Fan, Jianfeng Guo. The Impact of Industry on European Union Emissions Trading Market—from Network Perspective. Energies. 2020; 13 (21):5642.

Chicago/Turabian Style

Jiqiang Wang; Yinpeng Liu; Ying Fan; Jianfeng Guo. 2020. "The Impact of Industry on European Union Emissions Trading Market—from Network Perspective." Energies 13, no. 21: 5642.

Journal article
Published: 17 August 2020 in Resources Policy
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Investment of clean energy industry aims at developing clean alternative energy sources to substitute fossil fuels, the consumption of which leads to climate change and air pollution. However, how the supply and demand of steam coal affect the investment remains an extremely understudied issue, as the extant research focuses on crude oil, while steam coal satisfies most of the energy demand in emerging economies like China. This study empirically investigates the time-varying co-movements between steam coal prices and clean energy stock indices in China at the sectoral level; the former denotes the supply and demand, and the latter represents the investment. Five clean energy sectors are considered, including geothermal power, hydrogen power, nuclear power, solar power and wind power. The studied period is from Jan 2, 2008 to Feb 28, 2019. The analysis is carried out using a VAR-DCC-GARCH framework. The empirical findings indicate the presence of significant bi-directional volatility spillover between the steam coal market and the clean energy stocks. We further portray and explain the dynamic conditional correlation among steam coal prices, clean energy sectoral indices and an environmental under the fluctuating China's stock markets. Based on the empirical evidence, we provide policy implications to facilitate the development of the clean energy industry.

ACS Style

Fu Gu; Jiqiang Wang; Jianfeng Guo; Ying Fan. How the supply and demand of steam coal affect the investment in clean energy industry? Evidence from China. Resources Policy 2020, 69, 101788 .

AMA Style

Fu Gu, Jiqiang Wang, Jianfeng Guo, Ying Fan. How the supply and demand of steam coal affect the investment in clean energy industry? Evidence from China. Resources Policy. 2020; 69 ():101788.

Chicago/Turabian Style

Fu Gu; Jiqiang Wang; Jianfeng Guo; Ying Fan. 2020. "How the supply and demand of steam coal affect the investment in clean energy industry? Evidence from China." Resources Policy 69, no. : 101788.

Journal article
Published: 01 August 2020 in Physica A: Statistical Mechanics and its Applications
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To resolve problems of information asymmetry and low matching efficiency in freight market, a freight resource sharing platform must provide accurate and readily acceptable vehicle-cargo matching results. We study a two-sided matching model, and analyze the impact of suppliers and demanders’ loss aversion on matching results. We find that users’ loss aversion positively influences the accuracy of vehicle-cargo matching. Next, we construct an evolutionary game model and investigate the trend of users’ strategic selection of the matching results recommended by the platform and the factors influencing their selection. Within their respective limits, the platform’s service level, the users’ initial acceptance probability and waiting cost are found to have a positive impact on the evolutionary trend of users’ acceptance of the matching results. The models are verified using numeric analyses. Several suggestions are made for improving platform matching efficiency.

ACS Style

Zhihong Wang; Yangyang Li; Fu Gu; Jianfeng Guo; Xiaojun Wu. Two-sided matching and strategic selection on freight resource sharing platforms. Physica A: Statistical Mechanics and its Applications 2020, 559, 125014 .

AMA Style

Zhihong Wang, Yangyang Li, Fu Gu, Jianfeng Guo, Xiaojun Wu. Two-sided matching and strategic selection on freight resource sharing platforms. Physica A: Statistical Mechanics and its Applications. 2020; 559 ():125014.

Chicago/Turabian Style

Zhihong Wang; Yangyang Li; Fu Gu; Jianfeng Guo; Xiaojun Wu. 2020. "Two-sided matching and strategic selection on freight resource sharing platforms." Physica A: Statistical Mechanics and its Applications 559, no. : 125014.

Journal article
Published: 11 May 2020 in International Journal of Environmental Research and Public Health
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This paper pioneers to investigate the endowment effect in the European Union mission Trading Scheme (EU ETS) as well as the impacts of trading experience and compliance pressure on the endowment effect. This study is based on the complete transaction records of the market. In the data set, the records of two consecutive reverse transactions from a same emitting company are selected. The lowest price that the buyer is willing to pay (WTP) and the maximum price the seller is willing to accept (WTA) are evaluated by excluding their risk cost that is used to avoid short-term fluctuations in the price. By distinguishing the difference between WTA and WTP, and long-term fluctuations in the prices during the two transactions, the trader’s endowment effect can be quantitively assessed. The results show that the degree of endowment effect of traders follows the trading experience. In addition, since the EU ETS is a cap-and-trade market, the traders face different levels of compliance pressure; when the pressure of the emission companies increases, the degree of endowment effect will also decrease.

ACS Style

Jiqiang Wang; Fu Gu; Yingpeng Liu; Ying Fan; Jianfeng Guo. An Endowment Effect Study in the European Union Emission Trading Market based on Trading Price and Price Fluctuation. International Journal of Environmental Research and Public Health 2020, 17, 3343 .

AMA Style

Jiqiang Wang, Fu Gu, Yingpeng Liu, Ying Fan, Jianfeng Guo. An Endowment Effect Study in the European Union Emission Trading Market based on Trading Price and Price Fluctuation. International Journal of Environmental Research and Public Health. 2020; 17 (9):3343.

Chicago/Turabian Style

Jiqiang Wang; Fu Gu; Yingpeng Liu; Ying Fan; Jianfeng Guo. 2020. "An Endowment Effect Study in the European Union Emission Trading Market based on Trading Price and Price Fluctuation." International Journal of Environmental Research and Public Health 17, no. 9: 3343.

Journal article
Published: 09 April 2020 in International Review of Economics & Finance
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This paper empirically explores the time-varying co-movements between the international crude oil price, the prices of three common recycled plastics, i.e., recycled high-density polyethylene, polyethylene terephthalate, and polypropylene, and a synthesized index of the stock prices of public Chinese companies that manufacture plastic products, to unveil the market dynamics of recycled plastics in China. The analysis is carried out using a VAR-DCC-GARCH framework. The data spans from 4th Jan 2010 to 4th Jan 2018. The results show that the volatility spillovers from international oil market to Chinese recycled plastic market and plastic stocks are direct, though the impact of oil price returns on recycled plastic price returns is insignificant. We observe that online attention series are positively correlated to the linkages between oil price returns and plastic stock index returns, but are negatively correlated to the dynamic correlations of recycled plastic price returns and plastic stock index returns. The finding suggests that when the oil price and the performance of plastic manufacturers is highly related, these companies could be using virgin plastics as the major raw materials and paying more attention on the alternatives (i.e., recycled plastics) to improve their raw material portfolios to reduce related cost. Higher correlation between the recycled plastics price returns and the performance of plastic manufacturers implies that these companies could be using more recycled plastics, and the attention on plastic recycling is reduced.

ACS Style

Fu Gu; Jiqiang Wang; Jianfeng Guo; Ying Fan. Dynamic linkages between international oil price, plastic stock index and recycle plastic markets in China. International Review of Economics & Finance 2020, 68, 167 -179.

AMA Style

Fu Gu, Jiqiang Wang, Jianfeng Guo, Ying Fan. Dynamic linkages between international oil price, plastic stock index and recycle plastic markets in China. International Review of Economics & Finance. 2020; 68 ():167-179.

Chicago/Turabian Style

Fu Gu; Jiqiang Wang; Jianfeng Guo; Ying Fan. 2020. "Dynamic linkages between international oil price, plastic stock index and recycle plastic markets in China." International Review of Economics & Finance 68, no. : 167-179.

Journal article
Published: 11 October 2019 in Physica A: Statistical Mechanics and its Applications
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The behavior pattern has regularity, reflecting the behavior feature and logic of the research object, and has a great influence on the prediction of the future state of the research object. However, the extant literature focuses on identification and classification of behavior pattern, lack of description and quantification research on behavior pattern. Behavior pattern quantified data can provide a good data foundation for behavior pattern prediction, further improving the accuracy of prediction. In this paper, we use the quantification algorithm based on Perceptually Important Point(PIP-QA) to analyze the time series, extract the hidden behavior pattern from the time series, and obtain the quantification description of the behavior pattern. A behavior pattern prediction model based on LSTM(BPPM) is also proposed to predict behavior pattern. Finally, the feeding behavior data of laying hen is used to carry out the experiment. The experimental results show the feasibility of the PIP-QA. And the BPPM model has good predictive ability and generalization ability.

ACS Style

Wuhao Jiang; Kai Wang; Yan Lv; Jianfeng Guo; Zhongjin Ni; Yihua Ni. Time series based behavior pattern quantification analysis and prediction — A study on animal behavior. Physica A: Statistical Mechanics and its Applications 2019, 540, 122884 .

AMA Style

Wuhao Jiang, Kai Wang, Yan Lv, Jianfeng Guo, Zhongjin Ni, Yihua Ni. Time series based behavior pattern quantification analysis and prediction — A study on animal behavior. Physica A: Statistical Mechanics and its Applications. 2019; 540 ():122884.

Chicago/Turabian Style

Wuhao Jiang; Kai Wang; Yan Lv; Jianfeng Guo; Zhongjin Ni; Yihua Ni. 2019. "Time series based behavior pattern quantification analysis and prediction — A study on animal behavior." Physica A: Statistical Mechanics and its Applications 540, no. : 122884.

Journal article
Published: 20 September 2019 in Sustainability
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Mobile power bank (MPB) is an emerging consumer electronic that stores and delivers electricity to other electronics. Nowadays, MPBs are produced and discarded in massive quantities, yet their environmental impacts have never been quantitatively evaluated. Employing a life cycle assessment (LCA) approach, this study assesses the life cycle environmental impacts of MPBs, with a specific focus on comparing the environmental performance of different MPBs that are based on two types of batteries, namely, lithium-ion battery (LIB) and lithium-ion polymer battery (LIPB). The results suggest that battery production is the greatest contributor to the environmental impacts of both MPBs. LIPB based MPB is environmentally friendlier due to its higher energy density and longer cycle life. In addition, it is found that recycling can reduce the environmental burden of MPB industry as well as ease the vast depletion of metals such as cobalt and copper. The sensitivity analysis shows that figuring out an optimal retirement point and using less carbon-intensive electricity can reduce the climate change potential of MPBs. This study provides recommendations to further improve the environmental performance of MPB, including the usage of more sustainable cathode materials, market promoting direction, and formulation of end-of-life management policy.

ACS Style

Jie Yang; Fu Gu; Jianfeng Guo; Bin Chen. Comparative Life Cycle Assessment of Mobile Power Banks with Lithium-Ion Battery and Lithium-Ion Polymer Battery. Sustainability 2019, 11, 5148 .

AMA Style

Jie Yang, Fu Gu, Jianfeng Guo, Bin Chen. Comparative Life Cycle Assessment of Mobile Power Banks with Lithium-Ion Battery and Lithium-Ion Polymer Battery. Sustainability. 2019; 11 (19):5148.

Chicago/Turabian Style

Jie Yang; Fu Gu; Jianfeng Guo; Bin Chen. 2019. "Comparative Life Cycle Assessment of Mobile Power Banks with Lithium-Ion Battery and Lithium-Ion Polymer Battery." Sustainability 11, no. 19: 5148.

Journal article
Published: 25 March 2019 in Journal of Cleaner Production
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We investigate the bidirectional interactions between trading behaviors and carbon prices in the first carbon market, i.e., European Union Emissions Trading Scheme (EU ETS). The trading behaviors of the emitting companies are classified into ‘compliance trading’ and ‘non-compliance trading’ based on their positions, and the behaviors of financial intermediaries are quantified according to the changes in their inventories. We use two AR-EGARCH models and an ARMA-GARCH model to assess the bidirectional interactions between trading behaviors and carbon prices, and three empirical findings are derived. First, since emitting companies can predict their actual demand of a complete phase, ‘compliance trading’ is not affected by the annual nominal compliance demand of allowances, while ‘non-compliance trading’ is influenced by financial intermediaries' inventories and ‘compliance trading’. Second, the allowance prices do have asymmetry effects on the volatilities of emitting companies' trading behaviors. Third, ‘compliance trading’ and the inventories of the financial intermediaries explain the trend of carbon prices, while ‘non-compliance trading’ explains the volatility of carbon prices. The findings could provide valuable managerial implications for managing the carbon markets.

ACS Style

Jiqiang Wang; Fu Gu; Yinpeng Liu; Ying Fan; Jianfeng Guo. Bidirectional interactions between trading behaviors and carbon prices in European Union emission trading scheme. Journal of Cleaner Production 2019, 224, 435 -443.

AMA Style

Jiqiang Wang, Fu Gu, Yinpeng Liu, Ying Fan, Jianfeng Guo. Bidirectional interactions between trading behaviors and carbon prices in European Union emission trading scheme. Journal of Cleaner Production. 2019; 224 ():435-443.

Chicago/Turabian Style

Jiqiang Wang; Fu Gu; Yinpeng Liu; Ying Fan; Jianfeng Guo. 2019. "Bidirectional interactions between trading behaviors and carbon prices in European Union emission trading scheme." Journal of Cleaner Production 224, no. : 435-443.

Journal article
Published: 15 March 2019 in Sustainability
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Ubiquitous utilization of video surveillance systems is supposed to promote safety, yet whether these systems improve the residents’ perception of safety is unknown. Moreover, the factors that affect the perception of safety are also unclear. We seek to fill these knowledge gaps via a survey-based study, which aims at evaluating the impact of video surveillance systems on perceived safety from crimes and accidents and on behavioral preferences, as well as the attitudes towards such systems. A total of 1080 residents in Beijing, China are validly surveyed, and the surveys returned are exploited for univariate analysis and regression analysis. The analysis results indicate that female respondents are more accustomed to adopt video surveillance systems, as they feel safer and more comfortable with the existence of surveillance systems. Higher levels of education, greater length of residency, and richer knowledge of surveillance systems tend to increase the perception of safety, while age and monthly income act negatively. The effects of these factors should be considered during the implementation of video surveillance systems and recommendations are given to facilitate the adoption of such systems.

ACS Style

Hanqi Zhang; Jianfeng Guo; Chao Deng; Ying Fan; Fu Gu. Can Video Surveillance Systems Promote the Perception of Safety? Evidence from Surveys on Residents in Beijing, China. Sustainability 2019, 11, 1595 .

AMA Style

Hanqi Zhang, Jianfeng Guo, Chao Deng, Ying Fan, Fu Gu. Can Video Surveillance Systems Promote the Perception of Safety? Evidence from Surveys on Residents in Beijing, China. Sustainability. 2019; 11 (6):1595.

Chicago/Turabian Style

Hanqi Zhang; Jianfeng Guo; Chao Deng; Ying Fan; Fu Gu. 2019. "Can Video Surveillance Systems Promote the Perception of Safety? Evidence from Surveys on Residents in Beijing, China." Sustainability 11, no. 6: 1595.

Journal article
Published: 14 March 2019 in Sustainability
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As an icon of sharing economy and product service systems, bicycle sharing is gaining an increasing global popularity, yet there is little knowledge about the environmental performance of this emerging traveling mode. To seek the answer to the question, the paper employs a survey-based method and a life cycle assessment (LCA) approach. We first conduct a questionnaire-based survey to identify the changes in traveling modes after the introduction of shared bicycles. The survey results show that the use of shared bicycles is more popular among young and low-income populations, and shared bicycles are predominantly used to replace walking and bus-taking. Based on the survey results, we model the environmental impacts of the changed traveling behaviors and the life cycle of shared bicycle with the aid of Gabi software. The LCA results shows that bicycle sharing is currently an environmentally friendly practice, as it brings environmental savings in all the indicators except metal consumption. Further, the results of sensitivity analysis show that aging, rising rental fees, and increasing volume of shared bicycles would impart negative impacts on the environmental performance of bicycle sharing. The findings of this work facilitate the management and development of bicycle sharing.

ACS Style

Fanying Zheng; Fu Gu; Wujie Zhang; Jianfeng Guo. Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys. Sustainability 2019, 11, 1550 .

AMA Style

Fanying Zheng, Fu Gu, Wujie Zhang, Jianfeng Guo. Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys. Sustainability. 2019; 11 (6):1550.

Chicago/Turabian Style

Fanying Zheng; Fu Gu; Wujie Zhang; Jianfeng Guo. 2019. "Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys." Sustainability 11, no. 6: 1550.

Journal article
Published: 12 September 2018 in Sustainability
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Verified emissions announcements are the most influential events in the European Union emissions trading scheme (EU ETS); they reveal demand information and have a significant impact on the carbon market. The extant literature tends to focus on examining the impacts of these verification events on the prices of carbon allowances, while scholars barely discuss how trading behaviors react to the announcements. Moreover, most of the studies are carried out from a macroeconomic perspective. This paper fills this gap by analyzing the impacts of the verified emissions announcements on the comoves of trading behaviors and carbon prices in Phase I (2005–2007) and Phase II (2008–2012). Specifically, we construct GARCH models to investigate the events’ heterogeneous influences in different periods, i.e., the complete periods, the announcement periods, the pre- and post-announcement periods. We observe that the verified emissions announcements boost the volume of compliance trading, particularly in Phase I. Furthermore, we show that the over-allocation of carbon allowances can be even more influential in disturbing the comoves than the verification events. Our microeconomic findings confirm the maturity of EU ETS in Phase II, exhibiting good agreement with the extant macroeconomic literature.

ACS Style

Jianfeng Guo; Bin Su; Guang Yang; Lianyong Feng; Yinpeng Liu; Fu Gu. How Do Verified Emissions Announcements Affect the Comoves between Trading Behaviors and Carbon Prices? Evidence from EU ETS. Sustainability 2018, 10, 3255 .

AMA Style

Jianfeng Guo, Bin Su, Guang Yang, Lianyong Feng, Yinpeng Liu, Fu Gu. How Do Verified Emissions Announcements Affect the Comoves between Trading Behaviors and Carbon Prices? Evidence from EU ETS. Sustainability. 2018; 10 (9):3255.

Chicago/Turabian Style

Jianfeng Guo; Bin Su; Guang Yang; Lianyong Feng; Yinpeng Liu; Fu Gu. 2018. "How Do Verified Emissions Announcements Affect the Comoves between Trading Behaviors and Carbon Prices? Evidence from EU ETS." Sustainability 10, no. 9: 3255.

Journal article
Published: 24 August 2018 in Science of The Total Environment
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Individual users cannot readily access the collection channels is a persistent problem in municipal solid waste (MSW) management, resulting in low MSW collection rates. A new waste management model, “Internet+Recycling”, has come into being; this model enables individuals to arrange collection appointment through various online platforms, then the collectors pick up the waste on-site. It is believed that “Internet+Recycling” can be a solution to mitigate the collection barrier in MSW management, as it provides individuals a convenient access to formal waste management systems. However, whether this emerging MSW collection model would bring environmental benefits is yet unknown. We here quantitatively examine the mass balance and environmental performance of MSW recycling associated with the use of such a “Internet+Recycling” mobile application - Aibolv. All transactions occurred on the mobile application within a period of six monthare included, and all related activities are modeled using the methodology that combines material flow analysis (MFA) and life cycle assessment (LCA). According to the extant MSW management legislation in China, we classify the collected MSW into three categories, subsidized waste electric and electronic equipment (WEEE) like television and refrigerator – T1, unsubsidized WEEE like mobile phone – T2, and other recyclables like paper and fabric – T3. The MFA results show that plastics and common metals are the dominate secondary material streams, and glass, precious metals and battery metals are mainly recovered from WEEE. The LCA results indicate that the disposal of the T2 waste has the highest environmental savings, due to the recovery of precious metals. Increased remanufacturing rates impart negative impacts, while increments in the quantity of spent mobile phones could significantly improve overall environmental performance. Based on the acquired results, recommendations are provided for facilitating the future development of “Internet+Recycling”, and limitations of this work are identified as well.

ACS Style

Fu Gu; Wujie Zhang; Jianfeng Guo; Philip Hall. Exploring “Internet+Recycling”: Mass balance and life cycle assessment of a waste management system associated with a mobile application. Science of The Total Environment 2018, 649, 172 -185.

AMA Style

Fu Gu, Wujie Zhang, Jianfeng Guo, Philip Hall. Exploring “Internet+Recycling”: Mass balance and life cycle assessment of a waste management system associated with a mobile application. Science of The Total Environment. 2018; 649 ():172-185.

Chicago/Turabian Style

Fu Gu; Wujie Zhang; Jianfeng Guo; Philip Hall. 2018. "Exploring “Internet+Recycling”: Mass balance and life cycle assessment of a waste management system associated with a mobile application." Science of The Total Environment 649, no. : 172-185.

Original articles
Published: 28 June 2018 in International Journal of Production Research
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Extended producer responsibility (EPR) is a regulatory measure to enforce the life cycle management of electrical and electronic equipment, however, the implementation of EPR programmes is not as effective as expected. In the face of the fourth industrial revolution that commonly labelled as ‘Industry 4.0,’ this paper proposes an integrated architecture to achieve effective and efficient EPR from the manufacturer perspective, and attention is specifically paid on promoting information sharing. On the basis of the selected case study, a smart refrigerator plant of Haier, the architecture integrates information systems and facilitates life cycle management. Particularly, eco-design and end-of-life disposal, the two lasting problems in the current practises of implementing EPR, can be enforced based on product modularisation and high level of information availability that provided by the architecture. The outcomes of this study provide a valuable reference for other sectors that involve EPR or product life cycle management.

ACS Style

Fu Gu; Jianfeng Guo; Philip Hall; Xinjian Gu. An integrated architecture for implementing extended producer responsibility in the context of Industry 4.0. International Journal of Production Research 2018, 57, 1458 -1477.

AMA Style

Fu Gu, Jianfeng Guo, Philip Hall, Xinjian Gu. An integrated architecture for implementing extended producer responsibility in the context of Industry 4.0. International Journal of Production Research. 2018; 57 (5):1458-1477.

Chicago/Turabian Style

Fu Gu; Jianfeng Guo; Philip Hall; Xinjian Gu. 2018. "An integrated architecture for implementing extended producer responsibility in the context of Industry 4.0." International Journal of Production Research 57, no. 5: 1458-1477.

Journal article
Published: 08 June 2018 in Energies
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In this paper, a network model is constructed using real trading data from the EU carbon market. Metric indicators are then introduced to measure the network, and the economic meanings of the indicators are discussed. By integrating time windows with the network model, three types of network features are examined: growth features, structural features, and scale-free features. The growth pattern of the carbon trading network is then analyzed. As the market grow, the geodesic distances become shorter and the clustering coefficients become larger. The trends of these two indicators suggest that the market is evolving towards efficiency; however, their tiny changes are insufficient to have significant impact. By modeling the heterogeneity of the carbon trading network, we find that the trading relationships between firms obey a broken power law model, which consists of two power law models. The broken power law model can be approximately defined as a traditional power law but with a longer tail in distribution. Furthermore, we find that the model is valid for most of the time of both phases, the model only invalid when the market approaches a high growth rate.

ACS Style

Yinpeng Liu; Xiangyun Gao; Jianfeng Guo. Network Features of the EU Carbon Trade System: An Evolutionary Perspective. Energies 2018, 11, 1501 .

AMA Style

Yinpeng Liu, Xiangyun Gao, Jianfeng Guo. Network Features of the EU Carbon Trade System: An Evolutionary Perspective. Energies. 2018; 11 (6):1501.

Chicago/Turabian Style

Yinpeng Liu; Xiangyun Gao; Jianfeng Guo. 2018. "Network Features of the EU Carbon Trade System: An Evolutionary Perspective." Energies 11, no. 6: 1501.

Journal article
Published: 01 December 2017 in The Science of The Total Environment
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Mechanical recycling of waste plastics is an environmental solution to the problem of waste plastic disposal, and has already become a common practice in industry. However, limited information can be found on either the industralised plastic recycling or the recycled materials, despite the use of recycled plastics has already extended to automobile production. This study investigates the life cycle environmental impacts of mechanical plastic recycling practice of a plastic recycling company in China. Waste plastics from various sources, such as agricultural wastes, plastic product manufacturers, collected solid plastic wastes and parts dismantled from waste electric and electronic equipments, are processed in three routes with products end up in different markets. The results of life cycle assessments show that the extrusion process has the largest environmental impacts, followed by the use of fillers and additives. Compared to production of virgin plastics and composites, the mechanical recycling is proved to be a superior alternative in most environmental aspects. Substituting virgin plastic composites with recycled plastic composites has achieved the highest environmental benefits, as virgin composite production has an impact almost 4 times higher that of the recycled composite production in each ReCiPe endpoint damage factor. Sensitivity analysis shows that the coverage of collecting network contribute affect little to overall environmental impact, and centralisation plays an important role in reducing overall environmental impacts. Among the fillers and additives, impact modifiers account for the most significant contributions to the environmental impacts of recycled composites. This study provides necessary information about the existing industrialised plastic recycling practice, and recommendations are given. Research implications are presented with the purpose to achieve higher substitution rate and lower environmental impact.

ACS Style

Fu Gu; Jianfeng Guo; Wujie Zhang; Peter A. Summers; Philip Hall. From waste plastics to industrial raw materials: A life cycle assessment of mechanical plastic recycling practice based on a real-world case study. The Science of The Total Environment 2017, 601-602, 1192 -1207.

AMA Style

Fu Gu, Jianfeng Guo, Wujie Zhang, Peter A. Summers, Philip Hall. From waste plastics to industrial raw materials: A life cycle assessment of mechanical plastic recycling practice based on a real-world case study. The Science of The Total Environment. 2017; 601-602 ():1192-1207.

Chicago/Turabian Style

Fu Gu; Jianfeng Guo; Wujie Zhang; Peter A. Summers; Philip Hall. 2017. "From waste plastics to industrial raw materials: A life cycle assessment of mechanical plastic recycling practice based on a real-world case study." The Science of The Total Environment 601-602, no. : 1192-1207.

Journal article
Published: 01 October 2017 in Waste Management
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Management of Waste Electrical and Electronic Equipment (WEEE) is a vital part in solid waste management, there are still some difficult issues require attentionss. This paper investigates the potential of applying Internet of Things (IoT) and Big Data as the solutions to the WEEE management problems. The massive data generated during the production, consumption and disposal of Electrical and Electronic Equipment (EEE) fits the characteristics of Big Data. Through using the state-of-the-art communication technologies, the IoT derives the WEEE "Big Data" from the life cycle of EEE, and the Big Data technologies process the WEEE "Big Data" for supporting decision making in WEEE management. The framework of implementing the IoT and the Big Data technologies is proposed, with its multiple layers are illustrated. Case studies with the potential application scenarios of the framework are presented and discussed. As an unprecedented exploration, the combined application of the IoT and the Big Data technologies in WEEE management brings a series of opportunities as well as new challenges. This study provides insights and visions for stakeholders in solving the WEEE management problems under the context of IoT and Big Data.

ACS Style

Fu Gu; Buqing Ma; Jianfeng Guo; Peter A. Summers; Philip Hall. Internet of things and Big Data as potential solutions to the problems in waste electrical and electronic equipment management: An exploratory study. Waste Management 2017, 68, 434 -448.

AMA Style

Fu Gu, Buqing Ma, Jianfeng Guo, Peter A. Summers, Philip Hall. Internet of things and Big Data as potential solutions to the problems in waste electrical and electronic equipment management: An exploratory study. Waste Management. 2017; 68 ():434-448.

Chicago/Turabian Style

Fu Gu; Buqing Ma; Jianfeng Guo; Peter A. Summers; Philip Hall. 2017. "Internet of things and Big Data as potential solutions to the problems in waste electrical and electronic equipment management: An exploratory study." Waste Management 68, no. : 434-448.

Journal article
Published: 27 May 2016 in Journal of Cleaner Production
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As CO2 emissions are quantified by allowances and traded in markets, wise trading strategies will bring emitting companies higher profits or lower costs. Based on the big data of Community Independent Transaction Log (CITL), this article hereby presents a micro study on the emitting companies' efforts in increasing profits and saving costs during the allowances trading in the first two phases of the European Union Emission Trading Scheme (EU ETS). The efforts are measured by an after-action factor of trading performance, which is built on a series of behaviour and monetary variables. By comparison, demanders of the emitting companies are more inclined to reach a higher trading performance, while that inclination is heterogeneous among the suppliers. In addition, emitting companies with lower emission levels had a better trading performance. With a higher proportion of low-emitting companies, the manufacturing sector had a better trading performance than the energy sector. The effect of the trading requirement on trading performance are investigated via a quantile regression mode. Results suggest that: (1) the selling requirement of suppliers has a positive effect on their trading performance, while the effect becomes weaker when the selling requirement increases; (2) the buying requirement has a positive effect on the demanders' trading performance only when the requirement is high, and the effect becomes stronger as the requirement increases; and (3) when the buying requirement is at a lower level, demanders' trading performance becomes worse as the requirement grows. The conclusion is that the emission level, industrial sector and trading requirement do have influences on the trading performance of emitting companies in emission trading.

ACS Style

Yin-Peng Liu; Jian-Feng Guo; Ying Fan. A big data study on emitting companies' performance in the first two phases of the European Union Emission Trading Scheme. Journal of Cleaner Production 2016, 142, 1028 -1043.

AMA Style

Yin-Peng Liu, Jian-Feng Guo, Ying Fan. A big data study on emitting companies' performance in the first two phases of the European Union Emission Trading Scheme. Journal of Cleaner Production. 2016; 142 ():1028-1043.

Chicago/Turabian Style

Yin-Peng Liu; Jian-Feng Guo; Ying Fan. 2016. "A big data study on emitting companies' performance in the first two phases of the European Union Emission Trading Scheme." Journal of Cleaner Production 142, no. : 1028-1043.

Original articles
Published: 12 April 2016 in Applied Economics
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In this article, we analyse the micro-behaviours of the emitting companies and financial intermediaries in the European Union emissions trading scheme (EU-ETS) and their influence on carbon prices. Based on the full-sample community independent transaction log (CITL), the micro-behaviours can be observed in a closed system. The micro-behaviours of the emitting companies are divided into ‘compliance trading’ and ‘non-compliance trading’ based on the emitting companies’ trading motivations. The micro-behaviours of the financial intermediaries are measured by their influence on the total supply and demand in the market. Then, an AR-GARCH model is established to examine the dynamic relationships between carbon prices and the micro-behaviours of the emitting companies and financial intermediaries. The estimation results suggest that the prices–behaviours relationship is significant. Other important findings are as follows: (1) the mean value of carbon prices positively depends on the compliance trading of the emitting companies and the micro-behaviours of the financial intermediaries; (2) non-compliance buying increases the volatility of carbon prices, while the non-compliance selling stabilizes it and (3) the micro-behaviours of the emitting companies in the lower 50% in terms of emission levels have no significant influence on the mean carbon price, but their non-compliance buying stabilizes the carbon price.

ACS Style

Ying Fan; Yin-Peng Liu; Jian-Feng Guo. How to explain carbon price using market micro-behaviour? Applied Economics 2016, 48, 4992 -5007.

AMA Style

Ying Fan, Yin-Peng Liu, Jian-Feng Guo. How to explain carbon price using market micro-behaviour? Applied Economics. 2016; 48 (51):4992-5007.

Chicago/Turabian Style

Ying Fan; Yin-Peng Liu; Jian-Feng Guo. 2016. "How to explain carbon price using market micro-behaviour?" Applied Economics 48, no. 51: 4992-5007.

Journal article
Published: 02 February 2015 in Physica A: Statistical Mechanics and its Applications
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Human behaviour on the Internet has become a synchro-projection of real society. In this paper, we introduce the public concern derived from query volumes on the Web to empirically analyse the influence of information on commodity markets (e.g., crude oil, heating oil, corn and gold) using multivariate GARCH models based on dynamic conditional correlations. The analysis found that the changes of public concern on the Internet can well depict the changes of market prices, as the former has significant Granger causality effects on market prices. The findings indicate that the information of external shocks to commodity markets could be transmitted quickly, and commodity markets easily absorb the public concern of the information-sensitive traders. Finally, the conditional correlation among commodity prices varies dramatically over time.

ACS Style

Qiang Ji; Jian-Feng Guo. Market interdependence among commodity prices based on information transmission on the Internet. Physica A: Statistical Mechanics and its Applications 2015, 426, 35 -44.

AMA Style

Qiang Ji, Jian-Feng Guo. Market interdependence among commodity prices based on information transmission on the Internet. Physica A: Statistical Mechanics and its Applications. 2015; 426 ():35-44.

Chicago/Turabian Style

Qiang Ji; Jian-Feng Guo. 2015. "Market interdependence among commodity prices based on information transmission on the Internet." Physica A: Statistical Mechanics and its Applications 426, no. : 35-44.