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A review of recent multi-region input-output models used for consumption-based emission and resource accounting

机译:近期用于基于消耗的排放和资源核算的多区域投入产出模型的回顾

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摘要

The interest in consumption-based emission and resource accounting has grown significantly. Many studies juxtapose consumer emissions (carbon footprint) and producer (territorial) emissions of greenhouse gases in order to demonstrate the effects of trade on the national emission budget. To this end, a respectable number of studies have been undertaken worldwide in order to estimate emissions embedded in international trade of numerous countries and world regions. Input-output approaches, and increasingly multi-region input-output (MRIO) models, are commonly chosen as they provide an appropriate methodological framework for complete carbon footprint estimates at the national and supra-national level. With increasing processing capabilities of computers and a wider availability of economic accounts, environmental accounts and trade data such models are now being implemented on a wide scale. After a brief overview of salient single-region input-output studies I provide an in-depth review of the most recent multi-region input-output models used for the purpose of consumption-based environmental accounting. The main methodological features and important results are described for around twenty studies covering the years 2007 to 2009. This is followed by a detailed review of studies dealing with uncertainty in MRIO analysis, an area which has not received a lot of attention so far. I conclude that further research is mainly needed in two areas, a) improvements in data availability and quality and b) improvements in the accuracy of MRIO modelling.
机译:对基于消耗的排放和资源核算的兴趣大大增加。为了证明贸易对国家排放预算的影响,许多研究将消费者排放(碳足迹)和生产者(地区)温室气体排放并置。为此,全世界已经进行了相当数量的研究,以便估计许多国家和世界区域的国际贸易中所含的排放量。通常选择投入产出方法以及越来越多的多区域投入产出(MRIO)模型,因为它们为国家和超国家层面的完整碳足迹估算提供了适当的方法框架。随着计算机处理能力的提高以及经济账户,环境账户和贸易数据的更广泛可用性,目前正在大规模实施这种模型。在简要概述了重要的单区域投入产出研究之后,我对用于基于消耗的环境核算的最新多区域投入产出模型进行了深入的回顾。描述了涵盖2007年至2009年的大约20项研究的主要方法学特征和重要结果。随后,对有关MRIO分析不确定性的研究进行了详细综述,该领域到目前为止尚未引起人们的广泛关注。我得出结论,主要需要在两个领域进行进一步的研究,a)数据可用性和质量的改进,b)MRIO建模的准确性的改进。

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