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Efficiency evaluation of CO2 utilization technologies in China: A super-efficiency DEA analysis based on expert survey

机译:中国二氧化碳利用技术的效率评估:基于专家调查的超效率DEA分析

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As the largest coal consumer and leading CO2 emitter, China faces huge pressure on emission reduction and addressing climate change. Moreover, the feature of coal dominated energy constitute system determines that Carbon Capture, Utilization and Storage (CCUS) technology would be of vital importance for China, especially the CO2 utilization technology due to its benefit creating effect. While CO2 utilization technology in current China is still in juvenility and needs to be predictively evaluated. Thus, this paper aims to assess the potential efficiency of CO2 utilization technologies in China. First, two sets of index systems of efficiency evaluation are established, and each of which contains three input indicators and three output indicators. We then conduct the Data Envelopment Analysis (DEA) efficiency evaluation on 20 key CO2 utilization technologies, which are classified into three categories, i.e. chemical, biological and geological utilizations, using so-called CCR, BCC and SE-CCR DEA models respectively. The results show that: (1) CO2 utilization technologies receive different DEA scores, while that with score I or more are dominated by chemical utilization; (2) CO2 geological utilization exhibits relatively higher sore under the direct-emission-reduction scenario than it does under comprehensive-emission-reduction scenario; (3) there are significant differences among the four types of biological utilization technologies; (4) DEA efficiency performance of CO2 utilization technologies gain improvement in 2030 than that in 2020, which in part provide evidence for the rationality of our study; and (5) DEA score rank has no correlation with emission reduction. Finally, some policy implications are proposed. (C) 2015 Elsevier Ltd. All rights reserved.
机译:作为最大的煤炭消费国和主要的二氧化碳排放国,中国在减排和应对气候变化方面面临巨大压力。此外,以煤炭为主的能源构成系统的特征决定了碳捕集,利用和封存(CCUS)技术对中国至关重要,特别是由于二氧化碳的创造效益,对中国至关重要。尽管目前中国的二氧化碳利用技术还处于起步阶段,需要进行预测性评估。因此,本文旨在评估中国二氧化碳利用技术的潜在效率。首先,建立了两套效率评价指标体系,每套指标体系包含三个输入指标和三个输出指标。然后,我们分别使用所谓的CCR,BCC和SE-CCR DEA模型对20种关键CO2利用技术进行数据包络分析(DEA)效率评估,这些技术分为三类,即化学,生物和地质利用。结果表明:(1)CO2利用技术获得的DEA得分不同,而得分I或更高的则以化学利用为主。 (2)CO2地质利用在直接减排情景下比在综合减排情景下相对较高; (3)四种生物利用技术之间存在显着差异; (4)到2030年,二氧化碳利用技术的DEA效率性能将比2020年有所提高,这在一定程度上为我们研究的合理性提供了证据; (5)DEA得分等级与减排量没有关系。最后,提出了一些政策含义。 (C)2015 Elsevier Ltd.保留所有权利。

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