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Carbon emissions reduction is not only physical, but also rooted in powerful economic actions. Coal-related emissions reduction strategies mainly focus on the physical quantity of carbon emissions, rather than the economic efficiency. So it’s necessary to strengthen the analysis of carbon emission reduction strategies from the perspective of economic value. Based on the theory of coal supply chain management, this study builds a carbon dioxide accounting model of China’s coal supply chain. The indicators for the process-based carbon emissions and carbon emissions per unit of economic value of various coal products are evaluated from the perspective of the whole coal life cycle. The results show that the processing and conversion of coal are the most important sources of carbon emissions in the coal life cycle. Coal-fueled electricity is the largest contributor to carbon emissions of all coal products. The coal-to-heat process has the highest carbon emissions per unit of economic value. Emission reduction strategies for coal supply chain are given in this research from both the physical and economic perspective. To realize emission reduction based on the physical perspective, it’s helpful to decrease coal consumption by reducing the proportion of coal-fired power and the gas capture technology should be promoted to facilitate gas utilization. Implementing the coal transition to natural gas policy and developing heat recovery technology have an effect on carbon emissions reduction from the economic viewpoint of coal supply chain.
Bing Wang; Liting He; Xiao-Chen Yuan; Zhen-Ming Sun; Pengshuai Liu. Carbon emissions of coal supply chain: An innovative perspective from physical to economic. Journal of Cleaner Production 2021, 295, 126377 .
AMA StyleBing Wang, Liting He, Xiao-Chen Yuan, Zhen-Ming Sun, Pengshuai Liu. Carbon emissions of coal supply chain: An innovative perspective from physical to economic. Journal of Cleaner Production. 2021; 295 ():126377.
Chicago/Turabian StyleBing Wang; Liting He; Xiao-Chen Yuan; Zhen-Ming Sun; Pengshuai Liu. 2021. "Carbon emissions of coal supply chain: An innovative perspective from physical to economic." Journal of Cleaner Production 295, no. : 126377.
Demand-side management provides important opportunities to integrate renewable sources and enhance the flexibility of urban power systems. With the continuous advancement of the smart grid and electricity market reform, the potential for residential consumers to participate in energy demand response is significantly enhanced. However, not enough is known about the public perception of energy demand response, and how sociopsychological and external factors could affect public willingness to participate. This study investigates the public perception of and willingness to participate in urban energy demand response through a questionnaire survey and employs multiple linear regression models to explore the determinants of public willingness to participate. The results suggest that income level, energy-saving attitudes, behaviors, external motivation factors, and energy-saving technologies are the key factors that determine public willingness to participate. Although most respondents are willing to participate, the effects of monetary incentives are more significant than the effect of spiritual inducements, and respondents are more sensitive to compensation than to dynamic electricity prices. The further improvement of residential responsiveness requires continuous infrastructure building by technical support, public energy-saving awareness, and public perception of energy demand response. Policy implications are proposed to achieve a sufficient residential response from an aggressive policy framework and energy-saving behavioral guidance.demand-side management; willingness to participate; determinants; spiritual incentives
Bing Wang; Qiran Cai; Zhenming Sun. Determinants of Willingness to Participate in Urban Incentive-Based Energy Demand-Side Response: An Empirical Micro-Data Analysis. Sustainability 2020, 12, 8052 .
AMA StyleBing Wang, Qiran Cai, Zhenming Sun. Determinants of Willingness to Participate in Urban Incentive-Based Energy Demand-Side Response: An Empirical Micro-Data Analysis. Sustainability. 2020; 12 (19):8052.
Chicago/Turabian StyleBing Wang; Qiran Cai; Zhenming Sun. 2020. "Determinants of Willingness to Participate in Urban Incentive-Based Energy Demand-Side Response: An Empirical Micro-Data Analysis." Sustainability 12, no. 19: 8052.
Mine closure is associated with many negative impacts on society and the environment. If these effects are not rationally addressed, they would pose risks of mine closure. Thus, a risk management method is needed to mitigate these adverse impacts and address mine-closure issues. An integral framework for mine-closure risk management that includes risk assessment and risk treatment was proposed. Given the fuzziness and randomness of the transformation between qualitative and quantitative knowledge in the risk assessment process, a novel risk assessment method based on the cloud model was presented, which fully considers the uncertainty in risks themselves and in the reasoning process. Closed mine reutilization is an effective risk treatment option in response to the identified high risks, but it requires selecting optimal reutilization strategies for the successful implementation of the reuse plan. To this end, a hybrid semi-quantitative decision method is proposed to optimize decision-making. The results of a case study showed that this risk management methodology can help budget planning for risk treatment and provide an instructional framework to effectively reduce the negative effects of closed mines.
Chao-Qun Cui; Bing Wang; Yi-Xin Zhao; Yong-Jin Zhang; Li-Ming Xue. Risk management for mine closure: A cloud model and hybrid semi-quantitative decision method. International Journal of Minerals, Metallurgy and Materials 2020, 27, 1021 -1035.
AMA StyleChao-Qun Cui, Bing Wang, Yi-Xin Zhao, Yong-Jin Zhang, Li-Ming Xue. Risk management for mine closure: A cloud model and hybrid semi-quantitative decision method. International Journal of Minerals, Metallurgy and Materials. 2020; 27 (8):1021-1035.
Chicago/Turabian StyleChao-Qun Cui; Bing Wang; Yi-Xin Zhao; Yong-Jin Zhang; Li-Ming Xue. 2020. "Risk management for mine closure: A cloud model and hybrid semi-quantitative decision method." International Journal of Minerals, Metallurgy and Materials 27, no. 8: 1021-1035.
With the huge increase in natural gas consumption, the distortion of natural gas prices, especially in the residential sector, is prominently shaped into a heavy burden for public finance. Although city gate price and a price linkage mechanism have been established, the price tolerance of residential natural gas should be considered when the price of residential gas fluctuates with the upstream gas price. Determinants of the price affordability of residential natural gas consumption at different economic development levels (Beijing, Nanjing, Zhengzhou) are investigated by field survey and online investigation and analyzed by a factor analysis and discriminant analysis. The results show that most residents are not sensitive to the price of natural gas, and their motivation for substituting gas with other energy is not strong. More than half of the residents have strong natural gas price affordability, while the weakest affordability occurred in Zhengzhou city among the research regions. The income level of the consumers, the convenience and reliability of natural gas, and the duration of natural gas consumption are the top three factors affecting the affordability of natural gas prices for residents. Policy implications are proposed to facilitate the implementation of natural gas price reform.
Bing Wang; Yao Yao; Liting He; Xiangqian Pei. Heterogeneous Pricing and Affordability of Residential Natural Gas Consumption: Lifestyle-Driven or Income-Determined? Energy Engineering 2020, 117, 111 -128.
AMA StyleBing Wang, Yao Yao, Liting He, Xiangqian Pei. Heterogeneous Pricing and Affordability of Residential Natural Gas Consumption: Lifestyle-Driven or Income-Determined? Energy Engineering. 2020; 117 (3):111-128.
Chicago/Turabian StyleBing Wang; Yao Yao; Liting He; Xiangqian Pei. 2020. "Heterogeneous Pricing and Affordability of Residential Natural Gas Consumption: Lifestyle-Driven or Income-Determined?" Energy Engineering 117, no. 3: 111-128.
Abandoned coal mine reutilization plays a critical role in the sustainable development of the mining industry. Scientific decisions on reuse modes are a prerequisite and crucial issue to efficiently explore the idle resources of abandoned mines. This paper classified the reuse modes into 6 types with 19 sub-patterns and generalized the influence conditions into 3 categories with 17 sub-indexes, including mine conditions, natural and geological conditions, and supplementary conditions based on literature review and data sources. A logical deduction method named “condition-mode” was proposed from the constraint conditions and their degree of constraint to select the preliminary reutilization patterns of abandoned mines. Finally, a practical example of the Beijing west mining area was introduced to demonstrate the applicability and feasibility of the proposed method. The results indicate that this method can be employed to select some potential reuse patterns for abandoned underground coal mines. The most important implications are that the significance of more detailed analyses and techno-economic appraisals on multiple schemes from these decision results, which suggests a stepwise integration approach to generate a more promising subset of inference results. The research can provide a reference for the reuse of underground coal mines that have been closed or will be closed.
Chao-Qun Cui; Bing Wang; Yi-Xin Zhao; Li-Ming Xue. Waste mine to emerging wealth: Innovative solutions for abandoned underground coal mine reutilization on a waste management level. Journal of Cleaner Production 2019, 252, 119748 .
AMA StyleChao-Qun Cui, Bing Wang, Yi-Xin Zhao, Li-Ming Xue. Waste mine to emerging wealth: Innovative solutions for abandoned underground coal mine reutilization on a waste management level. Journal of Cleaner Production. 2019; 252 ():119748.
Chicago/Turabian StyleChao-Qun Cui; Bing Wang; Yi-Xin Zhao; Li-Ming Xue. 2019. "Waste mine to emerging wealth: Innovative solutions for abandoned underground coal mine reutilization on a waste management level." Journal of Cleaner Production 252, no. : 119748.
Coal-to-clean energy transition is a significant strategy for China to protect the environment and achieve sustainable development. This research reviews the present policy framework, targeted sector for this energy consumption reform and discusses the supply status of natural gas industry. The conditions for efficiently implementing the coal-to-clean energy projects are explored by literature review and data mining. The decision to choose a proper implementation schedule depends on the factors of economic, environment, infrastructure, technology and resources endowment. The possible impacts of coal-to-clean energy transition actions on the society of China are analysed from the changes of energy mix, challenges from stable energy supply and measures for safeguarding energy security. The results of this study could be helpful for the successful implementation of this transition in the other areas.
Bing Wang; Tong Qin; Ge Hong; Wen-Rong Fan; Zhen-Ming Sun. Challenges and opportunities of coal-to-clean energy transition in China: a hard but long work. IOP Conference Series: Earth and Environmental Science 2019, 330, 032081 .
AMA StyleBing Wang, Tong Qin, Ge Hong, Wen-Rong Fan, Zhen-Ming Sun. Challenges and opportunities of coal-to-clean energy transition in China: a hard but long work. IOP Conference Series: Earth and Environmental Science. 2019; 330 (3):032081.
Chicago/Turabian StyleBing Wang; Tong Qin; Ge Hong; Wen-Rong Fan; Zhen-Ming Sun. 2019. "Challenges and opportunities of coal-to-clean energy transition in China: a hard but long work." IOP Conference Series: Earth and Environmental Science 330, no. 3: 032081.
Air pollution has attracted broad attention from the Chinese government, the public and academic researchers. With the economic development and the desire for a better life, public participation is of central importance to air pollution control. This study investigates public perception and the willingness to pay in the Beijing-Tianjin-Hebei region, one of the typical heavy smog polluted areas in China, through a combination of online questionnaire survey and field investigation. A multi-parameter quantitative regression model is employed to explore the drivers of the willingness to participate in air pollution treatment. The results suggest that the willingness to participate is influenced by personal income level and occupation, the awareness of air pollution in daily life, and governmental credibility regarding air pollution prevention, which are quantified by the causal relationships with willingness to pay for addressing air pollution. There are large differences in the public perception of the causes of air pollution, the satisfaction with present air pollution control and the ways to become personally involved in actions for pollution source control. Although the present willingness to pay for air pollution treatment is weak and substantially varies across the region, it would be higher if more satisfactory measures were enacted and practiced. The results sketch the residents’ desired clean air plans and practicable clean production actions. Some policy implications are advanced to enhance the efficiency of environmental regulation and public engagement in environmental protection.
Bing Wang; Ge Hong; Tong Qin; Wen-Rong Fan; Xiao-Chen Yuan. Factors governing the willingness to pay for air pollution treatment: A case study in the Beijing-Tianjin-Hebei region. Journal of Cleaner Production 2019, 235, 1304 -1314.
AMA StyleBing Wang, Ge Hong, Tong Qin, Wen-Rong Fan, Xiao-Chen Yuan. Factors governing the willingness to pay for air pollution treatment: A case study in the Beijing-Tianjin-Hebei region. Journal of Cleaner Production. 2019; 235 ():1304-1314.
Chicago/Turabian StyleBing Wang; Ge Hong; Tong Qin; Wen-Rong Fan; Xiao-Chen Yuan. 2019. "Factors governing the willingness to pay for air pollution treatment: A case study in the Beijing-Tianjin-Hebei region." Journal of Cleaner Production 235, no. : 1304-1314.
Climate change assessment is central for low-carbon management practice. This paper investigates China’s National Climate Change Assessment Reports of 2007, 2011, and 2015. These three reports are compared with other climate change assessment reports by data mining. The necessity of national climate change assessment is analyzed with the requirements at home and abroad. The latest progress surrounding climate change impacts, adaptation, and mitigation is outlined with the increasing temperature rise in China and the urgency of climate change commitments. The achievements in climate change assessment indicate the increasing climate change vulnerability on sectors and regions in China and the strategies and priorities for low-carbon actions. Distinct gaps and differences are identified in the coverage of industry, regions, and vulnerability assessment between our assessments and other evaluation reports. These gaps and differences demonstrate the importance and future improvements of China’s national climate change assessment in international climate governance. The outlook for China’s fourth assessment report is proposed.
Bing Wang; Ge Hong; Chao-Qun Cui; Hao Yu; Tad Murty. Comprehensive analysis on China’s National Climate Change Assessment Reports: Action and emphasis. Frontiers of Engineering Management 2019, 6, 52 -61.
AMA StyleBing Wang, Ge Hong, Chao-Qun Cui, Hao Yu, Tad Murty. Comprehensive analysis on China’s National Climate Change Assessment Reports: Action and emphasis. Frontiers of Engineering Management. 2019; 6 (1):52-61.
Chicago/Turabian StyleBing Wang; Ge Hong; Chao-Qun Cui; Hao Yu; Tad Murty. 2019. "Comprehensive analysis on China’s National Climate Change Assessment Reports: Action and emphasis." Frontiers of Engineering Management 6, no. 1: 52-61.
Coal is the primary source of China’s carbon emissions due to the energy structure and its resource endowment. This reality creates enormous pressure and impetus for low-carbon pathways of coal production and consumption. Based on a literature review on carbon emissions accounting methods, this paper builds a source-driven CO2 emissions accounting model for the coal development sector using the emissions factor method. Scenario analysis is employed to predict future carbon emission equivalents and to indicate possible implications for climate change mitigation in this sector. Carbon emissions from coal development are mainly derived from coal mine gas emissions, which yield 62% of the sector’s total carbon emissions, followed by energy consumption. The recent decline in coal mining-driven CO2 emissions is mainly due to the strict deployment of coal mine gas and the changing structure of coal mines. The results from the scenarios suggest that the carbon emissions reduction potential will largely be determined by technology innovation in the coal mine gas industry. Policy implications for further addressing carbon emissions from the supply side of the coal industry include improvements in energy efficiency and coal mine gas extraction and utilization.
Bing Wang; Chao-Qun Cui; Yi-Xin Zhao; Bo Yang; Qing-Zhou Yang. Carbon emissions accounting for China’s coal mining sector: invisible sources of climate change. Natural Hazards 2018, 99, 1345 -1364.
AMA StyleBing Wang, Chao-Qun Cui, Yi-Xin Zhao, Bo Yang, Qing-Zhou Yang. Carbon emissions accounting for China’s coal mining sector: invisible sources of climate change. Natural Hazards. 2018; 99 (3):1345-1364.
Chicago/Turabian StyleBing Wang; Chao-Qun Cui; Yi-Xin Zhao; Bo Yang; Qing-Zhou Yang. 2018. "Carbon emissions accounting for China’s coal mining sector: invisible sources of climate change." Natural Hazards 99, no. 3: 1345-1364.
Mineral resources are still the rigid demand of China’s development and their sustainability assessment is central to regional development. This paper introduces an improved Analytic Hierarchy Process-based Normal cloud model which incorporated randomness and fuzziness and presents an index system applicable to empirical analysis on 31 provinces of China. The weight system of evaluation indicators is determined by an improved analytic hierarchy process (IAHP) approach with good accessibility and attainability. Regional disparities of resources sustainability are demonstrated by spatial distributions of mineral resources sustainability with the help of GIS technology. The sustainability level is determined by the combination of resources, environment and society dimensions. The results indicate that the areas with high sustainability do not necessarily happen in resource-rich regions. The most important implications are the relatively lower sustainability of the developed areas and the higher sustainability in western provinces. The scores for indicators reveal that compared with western and central areas, the coastal provinces are less sustainable in environmental carrying capacity, but with higher sustainable social supporting capacity. Robustness test notes that the results are sensitive to the adjustment of weight system due to the preference of decision makers. Finally, differentiated regional strategies for improving overall sustainability are proposed.
Chao-Qun Cui; Bing Wang; Yi-Xin Zhao; Qian Wang; Zhen-Ming Sun. China's regional sustainability assessment on mineral resources: Results from an improved analytic hierarchy process-based normal cloud model. Journal of Cleaner Production 2018, 210, 105 -120.
AMA StyleChao-Qun Cui, Bing Wang, Yi-Xin Zhao, Qian Wang, Zhen-Ming Sun. China's regional sustainability assessment on mineral resources: Results from an improved analytic hierarchy process-based normal cloud model. Journal of Cleaner Production. 2018; 210 ():105-120.
Chicago/Turabian StyleChao-Qun Cui; Bing Wang; Yi-Xin Zhao; Qian Wang; Zhen-Ming Sun. 2018. "China's regional sustainability assessment on mineral resources: Results from an improved analytic hierarchy process-based normal cloud model." Journal of Cleaner Production 210, no. : 105-120.
Feed-in tariff and renewable portfolio standards are two major policies for renewable power generation and China is the first country to adopt both policies at the national level. The black box for regional allocation of renewable portfolio standards, however, may lead to the instability and inefficiency of this policy. This paper introduces the principles of Management by Objective to build a clear policy framework for renewable portfolio standards in China and employs the entropy method to equally and reasonably assign regional responsibility for renewable energy development. A comparison is made between our allocation and the goal-directed policy to determine whether historical responsibility and infrastructure construction should be further considered in crafting renewable portfolio standards. The trends for regional renewable quotas are influenced by the twin-track approach of nearby utilization and external transmission. Finally, based on our analysis, the policy implications behind the new incentive are presented to urge the establishments of supporting facilities.
Bing Wang; Yi-Ming Wei; Xiao-Chen Yuan. Possible design with equity and responsibility in China’s renewable portfolio standards. Applied Energy 2018, 232, 685 -694.
AMA StyleBing Wang, Yi-Ming Wei, Xiao-Chen Yuan. Possible design with equity and responsibility in China’s renewable portfolio standards. Applied Energy. 2018; 232 ():685-694.
Chicago/Turabian StyleBing Wang; Yi-Ming Wei; Xiao-Chen Yuan. 2018. "Possible design with equity and responsibility in China’s renewable portfolio standards." Applied Energy 232, no. : 685-694.
As China’s major energy source, the coal sector contributes to a significant portion of China’s greenhouse gas emissions, and the industry faces huge pressure in relation to saving energy and reducing carbon emissions. Considering Chinese National Knowledge Infrastructure database as the basic retrieval source, this paper presents the status and hot spots reported in studies on the carbon emissions of the coal mining industry. The results reveal that the scientific outcomes of these studies in this field have increased sharply in the last 5 years. China University of Mining and Technology and the China Coal Research Institute are outstanding research institutes regarding this research topic. The subject distribution suggested the studies on the carbon emissions of the coal mining sector have developed into an interdisciplinary field, which includes the coal mining technology, industrial economy, management and environment. The related hot spots indicate that the energy consumed during the mining process, coal mine gas, sustainable plans for abandoned coal mines and utilization of coal gangue are the indexes for low-carbon development of the coal mining industry, which is also significant for mine disaster prevention. It should be highlighted that the coal spontaneous combustion during the coal mining process and the coal production structure represented by the number of coal mines and the minimum capacity requirement could be important factors for achieving future carbon emission reductions in the coal mining sector.
Bing Wang; Chao-Qun Cui; Yi-Xin Zhao; Man Chen; Xiao-Chen Yuan. Climate change mitigation in the coal mining industry: low-carbon pathways and mine safety indicators. Natural Hazards 2018, 95, 25 -38.
AMA StyleBing Wang, Chao-Qun Cui, Yi-Xin Zhao, Man Chen, Xiao-Chen Yuan. Climate change mitigation in the coal mining industry: low-carbon pathways and mine safety indicators. Natural Hazards. 2018; 95 (1-2):25-38.
Chicago/Turabian StyleBing Wang; Chao-Qun Cui; Yi-Xin Zhao; Man Chen; Xiao-Chen Yuan. 2018. "Climate change mitigation in the coal mining industry: low-carbon pathways and mine safety indicators." Natural Hazards 95, no. 1-2: 25-38.
The hydrogen-based renewable energy resource base is sufficient to meet several times the present world energy demand. This paper analyzes the drivers promoting hydrogen-based renewable energy utilization, focusing on a group of 32 countries by applying panel data techniques. The pooled ordinary least square estimator and fixed effect estimator are employed for comparison. Grey relational analysis is used to explore the relationships at a national level between renewable energy development and its influencing factors. The main results over our time span indicate that: (1) GDP per capita is a significantly positive contributor to renewable energy consumption, while oil price does not present a strong relationship in the use of renewables; (2) social awareness about climate change and concerns for energy security is not enough to motivate the switch from traditional to renewable energy sources; (3) the role of urbanization in renewable energy consumption relies on different stages of the urbanization process, resulting in opposite trends in renewable energy development between developing and developed countries. The results show that the market mechanism is not entirely responsible for encouraging the use of renewables and the role of climate change and energy security concerns in renewables use should be enhanced. By analyzing the results, policy implications are provided for the sustainable development of renewable energy
Bing Wang; Zhifu Mi; Ioan Nistor; Xiao-Chen Yuan. How does hydrogen-based renewable energy change with economic development? Empirical evidence from 32 countries. International Journal of Hydrogen Energy 2018, 43, 11629 -11638.
AMA StyleBing Wang, Zhifu Mi, Ioan Nistor, Xiao-Chen Yuan. How does hydrogen-based renewable energy change with economic development? Empirical evidence from 32 countries. International Journal of Hydrogen Energy. 2018; 43 (25):11629-11638.
Chicago/Turabian StyleBing Wang; Zhifu Mi; Ioan Nistor; Xiao-Chen Yuan. 2018. "How does hydrogen-based renewable energy change with economic development? Empirical evidence from 32 countries." International Journal of Hydrogen Energy 43, no. 25: 11629-11638.
Xiao-Chen Yuan; Xun Sun; Weigang Zhao; Zhifu Mi; Bing Wang; Yi-Ming Wei. Forecasting China’s regional energy demand by 2030: A Bayesian approach. Resources, Conservation and Recycling 2017, 127, 85 -95.
AMA StyleXiao-Chen Yuan, Xun Sun, Weigang Zhao, Zhifu Mi, Bing Wang, Yi-Ming Wei. Forecasting China’s regional energy demand by 2030: A Bayesian approach. Resources, Conservation and Recycling. 2017; 127 ():85-95.
Chicago/Turabian StyleXiao-Chen Yuan; Xun Sun; Weigang Zhao; Zhifu Mi; Bing Wang; Yi-Ming Wei. 2017. "Forecasting China’s regional energy demand by 2030: A Bayesian approach." Resources, Conservation and Recycling 127, no. : 85-95.
Renewable energy can help to tackle energy poverty issues of the availability of modern energy services and the sustainability of energy supply. Based on the concept of the Energy Development Index, published by International Energy Agency, this paper builds the clean energy development index and applies the Grey incidence decision method to analyze regional energy poverty issues in China. A model using panel data investigates the influencing factors that are governing energy poverty alleviation and the relationship between energy poverty and social development. The improved index system not only considers the access to modern energy services, but also addresses the cleanliness of energy supply and the transition to clean energy consumption for cooking. The results indicate that due to insufficient clean energy development, China’s Northeast and West regions have experienced increasing energy poverty problems, while energy poverty in the Southwest region has improved considerably because of its renewable energy development. Urbanization, affordability, and renewable energy development can increase access to modern energy services, contributing to energy poverty alleviation. However, the role of rural household consumption levels in energy poverty alleviation should be considered in rural energy policy.
Bing Wang; Hua-Nan Li; Xiao-Chen Yuan; Zhen-Ming Sun. Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model. Energies 2017, 10, 1942 .
AMA StyleBing Wang, Hua-Nan Li, Xiao-Chen Yuan, Zhen-Ming Sun. Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model. Energies. 2017; 10 (12):1942.
Chicago/Turabian StyleBing Wang; Hua-Nan Li; Xiao-Chen Yuan; Zhen-Ming Sun. 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model." Energies 10, no. 12: 1942.
Risk management is an effective way to mitigate the adverse consequences of extreme events, and plays an important role in climate change adaptation. On the basis of the literature, this paper presents a conceptual framework for managing the risk of extreme events under climate change, and accordingly summarizes the recent developments with a focus on several key topics. In terms of risk determinants, the impacts of climate variability on the frequency of extreme events are addressed, and the various meanings and measurements of specific vulnerability are compared. As for the process of risk management, the dynamic assessment approach regarding future climate condition is emphasized. Besides, in view of decision making the available means to enhance the effectiveness of adaptation and mitigation strategies are highlighted. Finally, uncertainty is discussed with respect to its sources and solution
Xiao-Chen Yuan; Yi-Ming Wei; Bing Wang; Zhifu Mi. Risk management of extreme events under climate change. Journal of Cleaner Production 2017, 166, 1169 -1174.
AMA StyleXiao-Chen Yuan, Yi-Ming Wei, Bing Wang, Zhifu Mi. Risk management of extreme events under climate change. Journal of Cleaner Production. 2017; 166 ():1169-1174.
Chicago/Turabian StyleXiao-Chen Yuan; Yi-Ming Wei; Bing Wang; Zhifu Mi. 2017. "Risk management of extreme events under climate change." Journal of Cleaner Production 166, no. : 1169-1174.
Although the relationship among urbanization, energy consumption and CO2 emissions has been extensively studied in recent years, little attention has been paid to the effect of urbanization on residential energy consumption. China as the largest developing country still has tremendous potential for urbanization in the future, and this paper thus explores the effect of urbanization on the changes of residential energy consumption during 1996–2012 for China both from aggregated and disaggregated perspectives, using the Divisia decomposition method. The findings on aggregated energy show that the urbanization contributes 15.4% to the increase of residential energy consumption during 1996–2012 but with a diminishing trend over time. Meanwhile, from the disaggregated perspective, the urbanization process contributes to an improvement of residential energy consumption structure. Specifically, 1% of increase in urbanization rate may result in a decrease of 420 thousand million tonnes of residential coal consumption and an increase of 301 thousand tonnes of oil consumption.
Jing-Li Fan; Yue-Jun Zhang; Bing Wang. The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis. Renewable and Sustainable Energy Reviews 2017, 75, 220 -233.
AMA StyleJing-Li Fan, Yue-Jun Zhang, Bing Wang. The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis. Renewable and Sustainable Energy Reviews. 2017; 75 ():220-233.
Chicago/Turabian StyleJing-Li Fan; Yue-Jun Zhang; Bing Wang. 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis." Renewable and Sustainable Energy Reviews 75, no. : 220-233.
China is the largest emitter of carbon emissions in the world. In this paper, we present an Integrated Model of Economy and Climate (IMEC), an optimization model based on the input-output model. The model is designed to assess the tradeoff between emission deceleration and economic growth. Given that China's projected average growth rate will exceed 5% over the next two decades, we find that China may reach its peak CO2 emissions levels by 2026. According to this scenario, China's carbon emissions will peak at 11.20 Gt in 2026 and will then decline to 10.84 Gt in 2030. Accordingly, approximately 22 Gt of CO2 will be removed from 2015 to 2035 relative to the scenario wherein China's CO2 emissions peak in 2030. While this earlier peaking of carbon emissions will result in a decline in China's GDP, several sectors, such as Machinery and Education, will benefit. In order to reach peak CO2 emissions by 2026, China needs to reduce its annual GDP growth rate to less than 4.5% by 2030 and decrease energy and carbon intensity levels by 43% and 45%, respectively, from 2015 to 2030
Zhifu Mi; Yi-Ming Wei; Bing Wang; Jing Meng; Zhu Liu; Yuli Shan; Jingru Liu; Dabo Guan. Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030. Journal of Cleaner Production 2017, 142, 2227 -2236.
AMA StyleZhifu Mi, Yi-Ming Wei, Bing Wang, Jing Meng, Zhu Liu, Yuli Shan, Jingru Liu, Dabo Guan. Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030. Journal of Cleaner Production. 2017; 142 ():2227-2236.
Chicago/Turabian StyleZhifu Mi; Yi-Ming Wei; Bing Wang; Jing Meng; Zhu Liu; Yuli Shan; Jingru Liu; Dabo Guan. 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030." Journal of Cleaner Production 142, no. : 2227-2236.
The aim of this paper is to analyze the relationship between household expenditure and CO2 emissions among different income groups of urban and rural households in China. Having employed the 2007 Social Accounting Matrix of China, this study examines the direct and indirect CO2 emissions caused by household demand. The results show that within both urban and rural households, the higher the income level is, the higher the per capita emissions are; the CO2 emissions per unit expenditure due to savings and taxes are generally much larger than those from consumption of goods and services; and these emissions per unit consumption expenditures mainly come from indirect emissions. To deeply explore the relationships between consumption patterns and CO2 emissions, two scenarios are established to eliminate the differences in income level and consumption propensity among different groups step by step. Main results indicate that (1) the income gap is the primary cause of the significant differences in emission levels among each group; (2) the difference in consumption propensity is also a notable reason; and (3) the rural higher income groups spend a larger share of their income on those carbon-intensive goods (e.g., electricity, transportation, energy products), thus making their consumption patterns more carbon-intensive, while for the urban, the consumption patterns of lower income groups are more carbon-intensive. Finally, policy recommendations on the reduction of household emissions are also made.
Qian Wang; Qiao-Mei Liang; Bing Wang; Fang-Xun Zhong. Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven? Natural Hazards 2015, 84, 353 -379.
AMA StyleQian Wang, Qiao-Mei Liang, Bing Wang, Fang-Xun Zhong. Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven? Natural Hazards. 2015; 84 (S1):353-379.
Chicago/Turabian StyleQian Wang; Qiao-Mei Liang; Bing Wang; Fang-Xun Zhong. 2015. "Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven?" Natural Hazards 84, no. S1: 353-379.
Bing Wang; Su-Yan Pan; Ruo-Yu Ke; Ke Wang; Yi-Ming Wei. Erratum to: An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database. Natural Hazards 2015, 75, 301 -301.
AMA StyleBing Wang, Su-Yan Pan, Ruo-Yu Ke, Ke Wang, Yi-Ming Wei. Erratum to: An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database. Natural Hazards. 2015; 75 (2):301-301.
Chicago/Turabian StyleBing Wang; Su-Yan Pan; Ruo-Yu Ke; Ke Wang; Yi-Ming Wei. 2015. "Erratum to: An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database." Natural Hazards 75, no. 2: 301-301.