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Abstract: In this paper, we present a process-based model to estimate the well-to-tank (WTT) costs of vehicle fuels (gasoline and diesel). The model breaks down the WTT process into four stages, i.e., crude oil sourcing (import and extraction), crude oil transportation, crude oil refining, and vehicle fuel transportation and distribution, which can provide high-resolution data for the WTT cost components. Using this model, we further develop an empirical study of China. The results obtained from the study indicate that the price of imported crude oil is the dominant factor affecting the WTT costs of vehicle fuels in China and that the cost of crude oil refining also has a relatively large influence. By comparing the costs with the prices of vehicle fuels under the volatile price of imported crude oil, we illustrate the unstable margin caused by China’s current pricing policy, which causes a distorted price signal and fiscal risks. The key findings derived from the empirical study reveal that the WTT cost is an essential guide for altering the vehicle fuel price with the aim of not only smoothing the impacts caused by the volatile price of crude oil price but also reflecting the correct oil price signal and reducing the fiscal risks. [Copyright &y& Elsevier]

Abstract: This paper uses nonparametric efficiency analysis technique to estimate the energy efficiency, potential emission reductions and marginal abatement costs of energy-related CO2 emissions in China. We employ a non-radial slacks-based data envelopment analysis (DEA) model for estimating the potential reductions and efficiency of CO2 emissions for China. The dual model of the slacks-based DEA model is then used to estimate the marginal abatement costs of CO2 emissions. An empirical study based on China’s panel data (2001–2010) is carried out and some policy implications are also discussed. [Copyright &y& Elsevier]

Abstract: This paper presents life-cycle-analysis (LCA) energy consumption (EC) and greenhouse gas (GHG) emissions of China’s current six biofuel pathways, which are: corn-derived ethanol (CE); cassava-derived ethanol (KE); sweet sorghum-derived ethanol (SE); soybean-derived bio-diesel (SB); jatropha fruit-derived bio-diesel (JB); and used cooking oil (UCO)-derived bio-diesel (UB). The tool utilized here is the WTW (Well-to-Wheels) module of Tsinghua-CA3EM model covering the entire lifecycle including: raw materials cultivation (or feedstock collection); fuel production; transportation and distribution; and application in automobile engines, compared with Conventional Petroleum-based gasoline and diesel Pathways (CPP). The results indicate: (1) the fossil energy inputs are about 1.0–1.5 times the energy contained in the fuel for the CE, SE and SB pathways, but 0.5–0.9 times for the KE, UB and JB pathways; (2) compared with CPP, the JB, KE and UB pathways can reduce both fossil fuel consumption and GHG emissions; the CE and SB pathways can only reduce fossil fuel consumption, but increase GHG emission; the SE pathway increases not only fossil fuel consumption but also GHG emission; and (3) the main factors inducing high EC and GHG emission levels include: high EC levels during the fuel production stage and high fertilizer application rates during the planting of raw feedstocks. Conclusions are that of the aforementioned biofuel pathways in China: (1) only the JB, KE and UB pathways have energy-saving merits as indicated by the LCA energy inputs and outputs; (2) compared with CPP, all but the SE pathway reduces fossil fuel consumption. However, the SB and CE pathway increase GHG emission; (3) all six displace petroleum by utilizing more coal; and (4) feedstock productivity levels must be increased, and there must be a reduction in fertilizer utilization and EC consumption during the cultivation and transportation stages in order to achieve the goals of energy balance and GHG emission reduction. [Copyright &y& Elsevier]