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学者姓名：王超
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摘要 ：
Port-hinterland transport is a freight transport mode that links ports and inland destinations and contributes to a large portion of the total CO2 emissions from the entire port-related logistic chain. Infrastructure development is conducive to reducing transport emissions. However, decision making regarding the development of port-hinterland transport infrastructures is complicated because port throughputs for different types of cargo change with economic structural changes (ESCs) in the port's hinterland. Therefore, this study develops a hybrid econometric and system dynamic model to explore the impact of ESCs in the hinterland on a port's throughput and to formulate suitable infrastructure decisions to reduce CO2 emissions from port-hinterland transport. The hybrid model is applied to the Qingdao port and its hinterland transport in Shandong Province, China. The results show that long-term CO2 emissions from port-hinterland transport will increase significantly because Shandong's ESCs will lead to a notable increase in the freight volume of containers, despite a concurrent decrease in the freight volume of iron ore. To reduce port-hinterland transport emissions under ESCs, facilitating railway transport for containers prioritizes over other options. The results also reveal that whether the ESCs are considered will lead to different infrastructure decisions, and whether life-cycle emissions of infrastructure are considered may lead to different priorities of infrastructure options. The findings indicate that holistic view and collaboration among government entities and transport-related stakeholders should be emphasized in the decision making of transport infrastructure development.
关键词 ：
Emissions Emissions Hinterland transport Hinterland transport Port Port Structural changes Structural changes Throughput Throughput Transport infrastructure Transport infrastructure
引用：
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| GB/T 7714 | Liu, Pei , Wang, Chao , Xie, Jingci et al. Towards green port-hinterland transportation: Coordinating railway and road infrastructure in Shandong Province, China [J]. | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2021 , 94 . |
| MLA | Liu, Pei et al. "Towards green port-hinterland transportation: Coordinating railway and road infrastructure in Shandong Province, China" . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT 94 (2021) . |
| APA | Liu, Pei , Wang, Chao , Xie, Jingci , Mu, Dong , Lim, Ming K. . Towards green port-hinterland transportation: Coordinating railway and road infrastructure in Shandong Province, China . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2021 , 94 . |
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摘要 ：
This paper investigates the time lag effect of carbon emissions using a novel temporal input-output approach (TIO). The sectoral average production time of various sectors is evaluated based on the turnover rate data of 3394 listed companies in China & rsquo;s A-share market. Then, a polynomial function is developed to fit the indirect carbon emissions and time lag at each consumption stage in the industrial chains. Finally, an empirical study is carried out to forecast the time lag effect of carbon emissions with final demand fluctuations based on the latest 2017 input-output table for China. The results show that indirect carbon emissions caused by sectoral economic activities decline stage by stage in the industrial chains, and the decline rate and time lag intensity vary significantly among sectors. The logistics industry has the highest spread efficiency for indirect carbon emissions in the industrial chains, and the con-struction industry is the first industry affected by the indirect carbon emissions caused by the manufacturing industry. The power/thermal industry & rsquo;s impact on China & rsquo;s carbon emissions is the fastest, but its duration is the shortest, while the impact of the manufacturing and mining industries are more stable and durable. However, considering the fluctuations in final demand, the manufacturing industry has replaced the power/thermal industry as the most important industry affecting the time lag effect of China & rsquo;s carbon emissions. This study provides important theoretical and practical value for indirect carbon emissions forecasting. (c) 2021 Elsevier Ltd. All rights reserved.
关键词 ：
Carbon emission Carbon emission Forecast Forecast Input-output approach Input-output approach Polynomial function Polynomial function Time lag effect Time lag effect
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| GB/T 7714 | Cheng, Yongwei , Wang, Chao , Fan, Tijun . Forecast of the time lag effect of carbon emissions based on a temporal input -output approach [J]. | JOURNAL OF CLEANER PRODUCTION , 2021 , 293 . |
| MLA | Cheng, Yongwei et al. "Forecast of the time lag effect of carbon emissions based on a temporal input -output approach" . | JOURNAL OF CLEANER PRODUCTION 293 (2021) . |
| APA | Cheng, Yongwei , Wang, Chao , Fan, Tijun . Forecast of the time lag effect of carbon emissions based on a temporal input -output approach . | JOURNAL OF CLEANER PRODUCTION , 2021 , 293 . |
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摘要 ：
China's Belt and Road Initiative (BRI) is a global development strategy with great potential for multilateral trade cooperation and economic growth in Asia, Europe and Africa. Commodities trade volumes across BRI countries have boomed in the last few years. However, the waste and scrap (WaS) trade, an important aspect of global waste management, has received little attention. In recent years, frequent trade frictions and restrictive import policies due to increasing environmental protection awareness have sent massive shocks through the international WaS trade system. Exploring the impacts of shocks on BRI-WaS trade is an important but unexamined research topic that can help ensure the steady operation of WaS recycling. To address this research gap, this study first provides a panoramic view of the BRI-WaS trade network and analyzes its structural relation to the global WaS trade network. Second, the hidden risks in the BRI-WaS trade are revealed by proposed shock propagation models in three real-life scenarios, namely, a unilateral trade disruption, a bilateral trade crash and an import ban. Third, the global circulations conceptual framework is mathematically examined in the BRI regional context. The findings reveal that BRI countries are increasingly important to global WaS trade and that BRI-WaS trade presents a heterogeneous structure with evenly distributed trade channels. The "most at-risk" sources in the BRI-WaS trade network are uncovered. The BRI circulation system is mathematically feasible but eco-ethically infeasible. Discussions are provided to support authorities in developing effective strategies to manage BRI-WaS trade and responses to future extreme disturbances as well as address the global WaS crisis.
关键词 ：
Belt and Road Initiative Belt and Road Initiative Complex networks Complex networks Trade risk Trade risk Waste and scrap Waste and scrap
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| GB/T 7714 | Hu, Xiaoqian , Wang, Chao , Lim, Ming K. et al. Evaluating waste and scrap trade risks in Belt and Road Initiative countries [J]. | RESOURCES CONSERVATION AND RECYCLING , 2021 , 173 . |
| MLA | Hu, Xiaoqian et al. "Evaluating waste and scrap trade risks in Belt and Road Initiative countries" . | RESOURCES CONSERVATION AND RECYCLING 173 (2021) . |
| APA | Hu, Xiaoqian , Wang, Chao , Lim, Ming K. , Bai, Xiao , Yao, Cuiyou . Evaluating waste and scrap trade risks in Belt and Road Initiative countries . | RESOURCES CONSERVATION AND RECYCLING , 2021 , 173 . |
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摘要 ：
Lithium-ion batteries (LIBs) are an essential part for electric vehicles (EVs) and have experienced rapid growth with the strong demand for EVs. Concerns over the sustainable supply of EV-LIBs have been voiced, but only a few studies have investigated the international trade in EV-LIBs, which has a significant impact on EV production in the complicated and volatile international trade environment. To fill this gap, this study investigates the international EV-LIB trade from a dynamic perspective. First, the dynamic structural evolution of the EV-LIB trade from 2012 to 2019 is explored from three perspectives, i.e., backbone structure, geospatial characteristics and trade communities, by constructing a weighted and directed network. Second, the hidden systemic risks in the international EV-LIB trade are revealed by the proposed trade network risk transmission (TNRT) model in two supply shortage scenarios. The results show a heterogeneous structure in the backbone network, and the trade barycenter is transitioning from Asia to Europe. In addition, a 'robust-yet-fragile' characterization is revealed in the global EV-LIB trade network, and the hidden risks in leading EV-LIB exporter nodes and trade edges are uncovered. The findings will support authorities seeking effective strategies to manage the EV-LIB trade and build a more resilient trade system. © 2021
关键词 ：
Complex networks Complex networks Electric vehicles Electric vehicles International trade International trade Ions Ions Lithium-ion batteries Lithium-ion batteries Risk perception Risk perception Vehicle transmissions Vehicle transmissions
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| GB/T 7714 | Hu, Xiaoqian , Wang, Chao , Zhu, Xiangyu et al. Trade structure and risk transmission in the international automotive Li-ion batteries trade [J]. | Resources, Conservation and Recycling , 2021 , 170 . |
| MLA | Hu, Xiaoqian et al. "Trade structure and risk transmission in the international automotive Li-ion batteries trade" . | Resources, Conservation and Recycling 170 (2021) . |
| APA | Hu, Xiaoqian , Wang, Chao , Zhu, Xiangyu , Yao, Cuiyou , Ghadimi, Pezhman . Trade structure and risk transmission in the international automotive Li-ion batteries trade . | Resources, Conservation and Recycling , 2021 , 170 . |
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摘要 ：
The relationship between financial stability and the real estate market has received increasing attention. Understanding the interaction between them may monitor financial risk and real estate price fluctuation. This paper aims at examining the cross-correlation between financial stability and real estate price fluctuation in China. A measure of financial stability is constructed and the cross-correlation between financial stability and the real estate market is demonstrated by using detrended cross-correlation analysis (DCCA). Furthermore, multifractal asymmetric detrended cross-correlation analysis (MF-ADCCA) is used to evaluate the scaling properties of the cross-correlation among financial stability and real estate price fluctuation. Empirical results indicate that asymmetries exist in the cross-correlation and that the asymmetric cross-correlation is multifractal. The cross-correlation is related to the fluctuation magnitude if the financial stress index (or the growth rate in house prices) is in a different trend. Finally, DCCA analysis based on time-delay is employed to investigate transmission direction of the cross-correlation. Our findings indicate the transmission direction is bidirectional, but the impact of financial stability on real estate price fluctuation is larger than the impact in the reverse direction. (C) 2019 Elsevier B.V. All rights reserved.
关键词 ：
cross-correlation cross-correlation Cross-correlation Cross-correlation Financial stability Financial stability Multifractal asymmetric detrended Multifractal asymmetric detrended Real estate market Real estate market
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| GB/T 7714 | Liu, Chao , Zheng, Ying , Zhao, Qi et al. Financial stability and real estate price fluctuation in China [J]. | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS , 2020 , 540 . |
| MLA | Liu, Chao et al. "Financial stability and real estate price fluctuation in China" . | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 540 (2020) . |
| APA | Liu, Chao , Zheng, Ying , Zhao, Qi , Wang, Chao . Financial stability and real estate price fluctuation in China . | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS , 2020 , 540 . |
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摘要 ：
Financial theory holds that attention plays a significant role in the information response, and internet attention has been used widely to explore their influence on stock market microstructure. Based on the thermal optimal path method and social network data, this paper constructs two dynamic variables including investor and media attention reflecting the internet attention and examines the lead-lag relationship between the internet attention and market liquidity measures. Furthermore, the sample is further divided into three parts including stationary and fluctuation periods to explore the predictive ability of internet attention effects on Chinese stock market liquidity. The main results reveal that the lead-lag orders between the internet attention and market liquidity are not always positive or negative. In other words, the internet attention does not always dominate the stock market liquidity, and vice versa. Moreover, there are significant differences in the results of lead-lag orders between three different subsample periods. The empirical results confirm that internet attention facilitates forecasting market performance in the Chinese stock market, and supplements the relevant theories of stock market trading and behavioral finance from the perspective of econophysics. (C) 2020 Elsevier B.V. All rights reserved.
关键词 ：
Internet attention Internet attention Liquidity Liquidity Probability of informed trading Probability of informed trading Thermal optimal path Thermal optimal path
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| GB/T 7714 | Gao, Yang , Zhao, Kun , Wang, Chao et al. The dynamic relationship between internet attention and stock market liquidity: A thermal optimal path method [J]. | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS , 2020 , 550 . |
| MLA | Gao, Yang et al. "The dynamic relationship between internet attention and stock market liquidity: A thermal optimal path method" . | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 550 (2020) . |
| APA | Gao, Yang , Zhao, Kun , Wang, Chao , Liu, Chao . The dynamic relationship between internet attention and stock market liquidity: A thermal optimal path method . | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS , 2020 , 550 . |
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摘要 ：
Purpose The purpose of this study is to identify a comprehensive list of main enablers of successful implementation of green manufacturing (GM) practices in small and medium-sized enterprises (SMEs). Based on the inputs from Irish SMEs' experts, a validated conceptual hierarchy model of the identified enablers is developed to analyse and prioritise the most dominant ones. Design/methodology/approach Data were collected using a questionnaire survey responded by various professionals in Irish manufacturing SMEs. Experts' opinions were analysed using interpretive structural modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) to distinguish the mutual influences amongst the nine identified enablers. Findings The findings revealed that from the Irish SMEs' perspective, strong green supply chain relations are the outcome of successfully implementing GM and not a driver of the other enablers. Furthermore, lower manufacturing costs are found to arise as a result of GM practices in SMEs. Practical implications It is discussed that emulating the actions of larger companies will not necessarily yield the same results for SMEs. Innovation will become a cornerstone of remaining competitive in a sustainable environment, which is facilitated by closer green supply chain relations. Originality/value The reported findings in this article contribute to theory and practice of GM and SMEs research domains by systematically identified, classified and ranked enablers in a conceptual hierarchal model from the perspective of Irish SMEs. This research lays the foundations for further analysis of the GM practices enablers in a time when UN mandates and EU regulations are increasingly impacting SMEs all around Europe and especially Ireland.
关键词 ：
Enablers Enablers Green manufacturing Green manufacturing Implementation Implementation Interpretive structural modelling Interpretive structural modelling Small and medium sized enterprises Small and medium sized enterprises
引用：
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| GB/T 7714 | Ghadimi, Pezhman , O'Neill, Shane , Wang, Chao et al. Analysis of enablers on the successful implementation of green manufacturing for Irish SMEs [J]. | JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT , 2020 , 32 (1) : 85-109 . |
| MLA | Ghadimi, Pezhman et al. "Analysis of enablers on the successful implementation of green manufacturing for Irish SMEs" . | JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT 32 . 1 (2020) : 85-109 . |
| APA | Ghadimi, Pezhman , O'Neill, Shane , Wang, Chao , Sutherland, John W. . Analysis of enablers on the successful implementation of green manufacturing for Irish SMEs . | JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT , 2020 , 32 (1) , 85-109 . |
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摘要 ：
Copper raw materials (CRM) and copper waste and scrap (CWS) are the two main sources of copper manufactured products. Due to the uneven geographical distribution of copper production and consumption, international CRM and CWS trade developed. However, no study has explored the complicated interdependencies between CRM trade and CWS trade or investigated the characteristics of this multiplex trade system. This study uses trade records from 1988 to 2017 to construct multiplex trade networks: a global CRM trade network and a global CWS trade network. The evolution of copper trade from 1988 to 2017 is reviewed, and the intricate relationships in the multiplex trade network are identified. It is found that CWS trade has a highly positive correlation with CRM trade, but there are obvious differences between CWS trade and CRM trade in the multilateral trade structure. Multilateral trade structures driven by core exporting countries and core importing countries are prominent in CRM trade and CWS trade, respectively. In addition, the impacts of China's restrictive policies on the multiplex trade system are analyzed. The results provide policy implications for countries regarding copper resource security strategies and safeguarding the multiplex trading system.
关键词 ：
China's import ban China's import ban Copper raw materials Copper raw materials Copper waste and scrap Copper waste and scrap Evolution and correlation Evolution and correlation Multiplex trade network Multiplex trade network Policy impacts Policy impacts
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| GB/T 7714 | Hu, Xiaoqian , Wang, Chao , Lim, Ming K. et al. Characteristics of the global copper raw materials and scrap trade systems and the policy impacts of China's import ban [J]. | ECOLOGICAL ECONOMICS , 2020 , 172 . |
| MLA | Hu, Xiaoqian et al. "Characteristics of the global copper raw materials and scrap trade systems and the policy impacts of China's import ban" . | ECOLOGICAL ECONOMICS 172 (2020) . |
| APA | Hu, Xiaoqian , Wang, Chao , Lim, Ming K. , Chen, Wei-Qiang . Characteristics of the global copper raw materials and scrap trade systems and the policy impacts of China's import ban . | ECOLOGICAL ECONOMICS , 2020 , 172 . |
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摘要 ：
Purpose The purpose of this study is to identify and prioritize the factors that can positively influence the implementation of a blockchain-based supply chain via an integrated framework. To the best of the authors' knowledge, no previous study has focused on prioritizing these factors. Design/methodology/approach First, this study conducts a multivocal literature review, and a total of 48 success factors (SFs) are identified and mapped into 11 categories. Second, the identified success factors and their categories are further validated by industry practitioners using a questionnaire survey approach. Finally, this study applies an analytical hierarchy process to prioritize the identified SFs and their categories and to assess their importance for successful blockchain implementation in the supply chain management process. Findings The "Accessibility" category has the highest importance, and the "Overall efficiency" category has the second highest rank. As far as the success factors are concerned, "Trackability" and "Traceability" are considered to be the prime success factors of a blockchain-based supply chain. The taxonomy of the categories and their success factors provide an outline for supply chain organizations to establish a strategy to implement blockchain technology. Practical implications This technology can be practically applied in a sustainable supply chain. Another vital application of this blockchain technology is in banking and finance because of the blockchain's immutable data recording property. Originality/value To the best of the authors' knowledge, there is no previous study focused on building a taxonomic model that allows supply chain organizations to compare this paper's model with existing models and outline the necessary actions to improve supply chain activities. The questionnaire-based survey developed to validate the success factors in real-world practices and the factors' prioritization can help academic researchers and industrial practitioners to set their strategic goals accordingly.
关键词 ：
Analytic hierarchy process Analytic hierarchy process Blockchain Blockchain Success factors Success factors Supply chain management Supply chain management
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| GB/T 7714 | Shoaib, Muhammad , Lim, Ming K. , Wang, Chao . An integrated framework to prioritize blockchain-based supply chain success factors [J]. | INDUSTRIAL MANAGEMENT & DATA SYSTEMS , 2020 , 120 (11) : 2103-2131 . |
| MLA | Shoaib, Muhammad et al. "An integrated framework to prioritize blockchain-based supply chain success factors" . | INDUSTRIAL MANAGEMENT & DATA SYSTEMS 120 . 11 (2020) : 2103-2131 . |
| APA | Shoaib, Muhammad , Lim, Ming K. , Wang, Chao . An integrated framework to prioritize blockchain-based supply chain success factors . | INDUSTRIAL MANAGEMENT & DATA SYSTEMS , 2020 , 120 (11) , 2103-2131 . |
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摘要 ：
Purpose Increasing academic communities and practitioners begin to explore a novel method to reduce environmental pollution and realize green logistics delivery. Additionally, China's Statistical Yearbook shows that the number of private cars has reached 165 million in China. Under this background, this study proposes a green delivery method by the combination of sharing vehicle (private cars) and IoT (Internet of things) from the perspective of vehicle energy efficiency and aims to improve the energy efficiency of social vehicles and provides more convenient delivery services. Design/methodology/approach This study builds an IoT architecture consisting of customer data layer, information collection layer, cloud optimization layer and delivery task execution layer. Especially in the IoT architecture, a clustering analysis method is used to determine the critical value of customers' classification and shared delivery, a routing optimization method is used to solve the initial solution in could layer and shared technology is used in the implementation of shared delivery. Findings The results show that the delivery method considering shared vehicles has a positive effect on improving the energy utilization of vehicles. But if all of delivery tasks are performed by the shared vehicle, the application effect may be counterproductive, such as delivery cost increases and energy efficiency decreases. This study provides a good reference for the implementation of green intelligent delivery business, which has a positive effect on the improvement of logistics operation efficiency. Originality/value This study designs a novel method to solve the green and shared delivery issues under the IoT environment, which integrates the IoT architecture. The proposed methodology is applied in a real case in China.
关键词 ：
Green delivery Green delivery Internet of things Internet of things IoT architecture IoT architecture Sharing economy Sharing economy
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| GB/T 7714 | Lim, Ming K. , Wang, Jianxin , Wang, Chao et al. A novel method for green delivery mode considering shared vehicles in the IoT environment [J]. | INDUSTRIAL MANAGEMENT & DATA SYSTEMS , 2020 , 120 (9) : 1733-1757 . |
| MLA | Lim, Ming K. et al. "A novel method for green delivery mode considering shared vehicles in the IoT environment" . | INDUSTRIAL MANAGEMENT & DATA SYSTEMS 120 . 9 (2020) : 1733-1757 . |
| APA | Lim, Ming K. , Wang, Jianxin , Wang, Chao , Tseng, Ming-Lang . A novel method for green delivery mode considering shared vehicles in the IoT environment . | INDUSTRIAL MANAGEMENT & DATA SYSTEMS , 2020 , 120 (9) , 1733-1757 . |
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