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| 1 |
ID:
112936
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2012.
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| Summary/Abstract |
Measuring and improving the energy performance with considering emission constraints is an important issue for China's energy conservation, pollutant emissions reduction and environment protection. This study utilizes several data envelopment analysis (DEA) based models to evaluate the total-factor energy and emission performance of China's 30 regions within a joint production framework of considering desirable and undesirable outputs as well as separated energy and non-energy inputs. DEA window analysis is applied in this study to deal with cross-sectional and time-varying data, so as to measure the performance during the period of 2000-2009. Two treatments for undesirable outputs are combined with DEA models and the associated indicators for simplex energy performance and unified energy and emission performance measurement are proposed and compared. The evaluation results indicate that the treatment of undesirable outputs transformation is more appropriate for China's regional energy and emission performance evaluation because it has stronger discriminating power and can provide more reasonable evaluation results that characterize China's regions. The empirical result shows that east China has the highest and the most balanced energy and emission performance. The energy and emission performance of China remained stable during 2000-2003, decreased slightly during 2004-2006, and has continuously increased since 2007.
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| 2 |
ID:
125525
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2013.
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| Summary/Abstract |
To reduce gasoline consumption and emissions, the Chinese government has introduced a series of preferential policies to encourage the purchase of new energy vehicles (NEVs). However, enthusiasm for the private purchase of NEVs appears to be very low. This timely paper addresses the need for an empirical study to explore this phenomenon by identifying purchase motivations of potential NEV consumers and examining the impact of government policies introduced to promote NEVs in China. A questionnaire survey was carried out. The acceptance of NEVs is measured in three different logistic models: the willingness of consumers to purchase NEVs, the purchasing time, and the acceptable price. The results showed that financial benefits, performance attributes, environmental awareness and psychological needs are the four most important factors influencing consumers' acceptance of NEVs. Among these, performance attributes rather than financial benefits are the most important indicator. The moderating effect of government policies to relations between purchasing intention, time and price is not strong as respected while the policy implications are clear that the 'public awareness of government policy' functions as a moderator in the process of acceptance. These findings could give some hints to the government to make better NEV industry policy.
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| 3 |
ID:
121336
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| Publication |
2013.
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| Summary/Abstract |
The Chinese government has outlined plans for developing new energy vehicles (NEVs) to achieve energy conservation and emission reduction. This paper used a logistic-curve to predict the market share of NEVs in the next decade, and then calculated the potential environment benefits of each and every car or the total according to the report of IPCC (2006). The results indicated that NEVs were of benefit in achieving above goals, particularly electric vehicles (EVs). However, they will have a limited impact in the short term. Finally, considering the empirical results and the Chinese reality, this paper proposed corresponding recommendations.
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| 4 |
ID:
118837
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| Publication |
2013.
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| Summary/Abstract |
The mitigation efforts of China are increasingly important for meeting global climate target since the rapid economic growth of China has led to an increasing share in the world's total CO2 emissions. This paper sets out to explore the approach for realizing China's national mitigation targets submitted to the UNFCCC as part of the Copenhagen Accord; that is, to reduce the intensity of CO2 emissions per unit of GDP by 40-45% by 2020, as well as reducing the energy intensity and increasing the share of non-fossil fuel consumption, through regional allocation of emission allowance over China's provinces. Since the realization of China's mitigation target essentially represents a total amount emission allowance allocation problem, an improved zero sum gains data envelopment analysis optimization model, which could deal with the constant total amount resources allocation, is proposed in this study. By utilizing this model and based on several scenarios of China's economic growth, CO2 emissions, and energy consumption, a new efficient emission allowance allocation scheme on provincial level for China by 2020 is proposed. The allocation results indicate that different provinces have to shoulder different mitigation burdens in terms of emission intensity reduction, energy intensity reduction, and share of non-fossil fuels increase.
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| 5 |
ID:
125441
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2013.
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| Summary/Abstract |
Carbon capture, utilization and storage (CCUS) technology will likely become an important approach to reduce carbon dioxide (CO2) emissions and optimize the structure of energy consumption in China in the future. In order to provide guidance and recommendations for CCUS Research, Development and Demonstration in China, a high level stakeholder workshop was held in Chongqing in June 2011 to develop a technology roadmap for the development of CCUS technology. This roadmap outlines the overall vision to provide technically viable and economically affordable technological options to combat climate change and facilitate socio-economic development in China. Based on this vision, milestone goals from 2010 to 2030 are set out in accordance with the technology development environment and current status in China. This study identifies the critical technologies in capture, transport, utilization and storage of CO2 and proposes technical priorities in the different stages of each technical aspect by evaluating indices such as the objective contribution rate and technical maturity, and gives recommendations on deployment of full-chain CCUS demonstration projects. Policies which would support CCUS are also suggested in this study.
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