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Towards accepted procedures for calculating international consumption-based carbon accounts

机译:迈向可接受的计算基于消费碳账户的程序

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Since the early 1990s, global trade has doubled, with a corresponding increase in emissions embodied in trade. Standard accounting of emissions counts the 'territorial' emissions that occur within a country, but there has also been discussion about the need for 'consumption-based' carbon accounting (CBCA) that counts the carbon emissions required to produce the goods and services consumed in a country (in short: the Country Carbon Footprint (CCF)). Global multi-regional input-output (GMRIO) databases form the method of choice to calculate carbon footprints. Due to the need to combine different data sources to construct GMRIOs, and incompleteness and inconsistencies in data sources, estimations and balancing procedures have to be applied. Such construction procedures are not uniform. This leads to hesitation over using CCF results in policy formulation. The empirical analysis reviewed in this paper synthesizes the few simple measures that can already lead to robust CCF results, even with different GMRIO models. The single most important point is to use harmonized territorial carbon emissions in different GMRIO models. Then, differences between databases for most countries are less than 10% between GMRIOs, and considerably lower than 10% for large countries with a high GDP compared to imports. When investigating the trends in CCF as opposed to the absolute value, the differences become even smaller. Hence, harmonizing data already used in classical production-based accounts and related policy making appears to be the most relevant factor also for CBCA and calculating CCFs. Key policy insightsCountry Carbon Footprints (CCFs) are best calculated with Global Multi Regional Input Output (GMRIO) databases. Compared to territorial carbon accounting, the additional use of GMRIOs for calculating CCFs in principle leads to higher uncertainties. However, trends in CCFs - that is, relative change over time - calculated with different GMRIOs are already very robust. Harmonizing territorial emissions across GMRIOs is the single most important factor that reduces uncertainty in CCFs, followed by the use of an official national Environmentally Extended Input-Output model for the country for which a CCF is calculated. Working towards an internationally accepted GMRIO, such as the OECD's inter-country input-output (ICIO) table, is recommended.
机译:自20世纪90年代初以来,全球贸易翻了一番,相应增加贸易排放量。排放的标准核算计数在一个国家内发生的“领土”排放,但也讨论了对生产商品和服务所需的碳排放所需的碳排放的需要讨论一个国家(简称:国家碳足迹(CCF))。全局多区域输入输出(GMRIO)数据库形成计算碳足迹的选择方法。由于需要将不同的数据源组合到构建格术生长源,并且必须应用数据来源,估计和平衡程序中的不完整性和不一致。这种建筑程序不均匀。这导致使用CCF导致策略制定的结果犹豫不决。本文综述的实证分析综合了几种可以导致强大的CCF结果的简单措施,即使具有不同的GMRIO模型。最重要的一点是在不同的GMRIO模型中使用协调的领土碳排放。然后,大多数国家的数据库之间的差异在GRIOS之间的差异低于10%,与进口相比,大型国内生产总值高的国家的大国相当低于10%。当研究CCF的趋势而不是绝对值时,差异变小。因此,统一数据已经用于基于经典的基于生产的账户和相关政策制定的数据似乎是CBCA和计算CCF的最相关因素。主要的政策思想碳概念碳脚印(CCFS)最佳地计算全球多区域输入输出(GMRIO)数据库。与领土碳核算相比,原则上的GMRIOS用于计算CCF的额外使用导致更高的不确定性。然而,CCFS的趋势 - 也就是说,随着时间的推移 - 用不同的GMRIO来计算的相对变化已经非常强大。协调GMRIOS的领土排放是减少CCFS中不确定性的最重要因素,其次是使用计算CCF的国家的国家环境扩展投入输出模型。建议致力于国际公认的GMRIO,例如经合组织的国家间投资企业(ICIO)表。

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