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This study aims to simulate the economic and environmental effects of energy-carbon-water (ECW) policies in China. The main novelty works are to clarify the theoretical ECW nexus mechanism at macro-economic level and develop the ECW-CGE policy assessment model with ECW policy modules integrated. Using this model, isolated and integrated ECW policy scenarios are designed and simulated in 2050. Policy effectiveness and co-effects are further discussed. The main findings are: (1) For economic effects, GDP losses grow from 0.31 % in water policy scenario W1 to 1.51 % in integrated policy scenario ECW2. Energy and carbon emission policies cause greater outputs losses in energy and carbon intensive sectors, while water policy impacts stronger on agricultural and service sectors. (2) For environmental effects, integrated policy scenarios reduce the most of ECW, and isolated ones mainly affect their targeted ECW elements. (3) For policy effectiveness, isolated policy scenarios have greater individual effectiveness, integrated ones could balance overall ECW management. (4) Synergy and trade-off effects exist in all scenarios. Governance cooperation and differentiated sectoral policies are needed to realize sustainable development in ECW system. The main findings could inspire ECW management policy makings both for China and countries with similar environmental constraints.
Yuhuan Zhao; Qiaoling Shi; Hao Li; Zhiling Qian; Lu Zheng; Song Wang; Yizhang He. Simulating the economic and environmental effects of integrated policies in energy-carbon-water nexus of China. Energy 2021, 238, 121783 .
AMA StyleYuhuan Zhao, Qiaoling Shi, Hao Li, Zhiling Qian, Lu Zheng, Song Wang, Yizhang He. Simulating the economic and environmental effects of integrated policies in energy-carbon-water nexus of China. Energy. 2021; 238 ():121783.
Chicago/Turabian StyleYuhuan Zhao; Qiaoling Shi; Hao Li; Zhiling Qian; Lu Zheng; Song Wang; Yizhang He. 2021. "Simulating the economic and environmental effects of integrated policies in energy-carbon-water nexus of China." Energy 238, no. : 121783.
Range anxiety is a psychological condition in which people worry that the limited battery capacity of electric vehicles (EV) will result in running out of power before reaching their destination. In this paper, with the application of quantile regression, 1.7 million charging and driving records for EVs in Beijing are used to explore how fast charging impacts on range anxiety. As state of charge (SOC) is highly related to range anxiety, this paper mainly focuses on the relationship between the charging rate and the SOC, which can be further extended to range anxiety. The results show that the charging rate is negatively related to the SOC, which indicates that fast charging could improve the charging rate and then reduce both the SOC and range anxiety. Temperature positively moderates the effects of the charging rate on range anxiety, which indicates that fast charging would be more effective in reducing range anxiety when it is a cold weather. Additionally, the quantity of charging piles negatively moderates the relationship between the charging rate and range anxiety. However, range anxiety may also influence the choice of charging rate, which might bring a reverse causality problem between the charging rate and the SOC, and result in an exaggerated significance of our analysis. After discussing the endogeneity of our regression results, we believe the possible bias is still totally acceptable.
Bin Zhang; Niu Niu; Hao Li; Zhaohua Wang; Weijun He. Could fast battery charging effectively mitigate range anxiety in electric vehicle usage?Evidence from large-scale data on travel and charging in Beijing. Transportation Research Part D: Transport and Environment 2021, 95, 102840 .
AMA StyleBin Zhang, Niu Niu, Hao Li, Zhaohua Wang, Weijun He. Could fast battery charging effectively mitigate range anxiety in electric vehicle usage?Evidence from large-scale data on travel and charging in Beijing. Transportation Research Part D: Transport and Environment. 2021; 95 ():102840.
Chicago/Turabian StyleBin Zhang; Niu Niu; Hao Li; Zhaohua Wang; Weijun He. 2021. "Could fast battery charging effectively mitigate range anxiety in electric vehicle usage?Evidence from large-scale data on travel and charging in Beijing." Transportation Research Part D: Transport and Environment 95, no. : 102840.
With the characteristics of low cost and open call, crowdsourcing has been widely adopted in many fields, particularly to support the use of surveys, data processing, and the monitoring of public health. The objective of the current study is to analyze the applications, hotspots, and emerging trends of crowdsourcing in the field of public health. Using CiteSpace for the visualization of scientific maps, this study explores the analysis of time-scope, countries and institutions, authors, published journals, keywords, co-references, and citation clusters. The results show that the United States is the country with the most publications regarding crowdsourcing applications for public health. Howe and Brabham are the two leading authors in this field. Further, most of the articles published in this field are found in medical and comprehensive journals. Crowdsourcing in public health is increasing and diversifying. The results of this study will enable and support the analysis of the specific role of crowdsourcing in the public health ecosystem.
Lingling Wang; Enjun Xia; Hao Li. A Bibliometric Analysis of Crowdsourcing in the Field of Public Health. International Journal of Environmental Research and Public Health 2019, 16, 3825 .
AMA StyleLingling Wang, Enjun Xia, Hao Li. A Bibliometric Analysis of Crowdsourcing in the Field of Public Health. International Journal of Environmental Research and Public Health. 2019; 16 (20):3825.
Chicago/Turabian StyleLingling Wang; Enjun Xia; Hao Li. 2019. "A Bibliometric Analysis of Crowdsourcing in the Field of Public Health." International Journal of Environmental Research and Public Health 16, no. 20: 3825.
China’s emissions continue to rise rapidly in line with its mounting energy consumption, which puts considerable pressure on China to meet its emission reduction commitments. This paper assesses the impacts of CO2 mitigation measures in China during the period from 2010 to 2050 by using a computable general equilibrium method, called AIM/CGE. Results show that renewable energy makes a critical difference in abating emissions during the period from 2010 to 2020. The scenarios with emission trading would drive more emission reductions, whereby the emission-cutting commitment for 2020 would be achieved and emission reductions in 2050 would be more than 57.90%. Meanwhile, the share of non-fossil energy increases significantly and would be more than doubled in 2050 compared with the BAU scenario. A carbon tax would result in a significant decline in emissions in the short term, but would have an adverse effect on economic growth and energy structure improvements. It is also observed that the integrated measures would not only substantially decrease the total emissions, but also improve the energy structure.
Wei Li; Hao Li; Shuang Sun. China’s Low-Carbon Scenario Analysis of CO2 Mitigation Measures towards 2050 Using a Hybrid AIM/CGE Model. Energies 2015, 8, 3529 -3555.
AMA StyleWei Li, Hao Li, Shuang Sun. China’s Low-Carbon Scenario Analysis of CO2 Mitigation Measures towards 2050 Using a Hybrid AIM/CGE Model. Energies. 2015; 8 (5):3529-3555.
Chicago/Turabian StyleWei Li; Hao Li; Shuang Sun. 2015. "China’s Low-Carbon Scenario Analysis of CO2 Mitigation Measures towards 2050 Using a Hybrid AIM/CGE Model." Energies 8, no. 5: 3529-3555.