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Measuring the Environmental Sustainability Performance of Global Supply Chains: a Multi-Regional Input-Output analysis for Carbon, Sulphur Oxide and Water Footprints

机译:衡量全球供应链的环境可持续性绩效:碳,氧化硫和水足迹的多区域投入产出分析

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摘要

Measuring the performance of what an environmentally sustainable supply chain has become a challenge despite the convergence of the underlining principles of sustainable supply chain management. This challenge is exacerbated by the fact that supply chains are inherently dynamic and complex and also because multiple measures can be used to characterize performances. udBy identifying some of the critical issues in the literature regarding performance measurements, this paper contributes to the existing body of literature by adopting an environmental performance measurement approach for economic sectors (primary, secondary and tertiary sectors). It uses economic sectors and evaluates them on a sectoral level in specific countries as well as part of the Global Value Chain based on the established multi-regional input-output (MRIO) modelling framework. The MRIO model has been used to calculate direct and indirect (that is supply chain or upstream) environmental effects such as CO2, SO2, biodiversity, water consumption and pollution to name just a few of the applications. In this paper we use MRIO to calculate emissions and resource consumption intensities and footprints, direct and indirect impacts, and net emission flows between countries. These are exemplified by using carbon emissions, sulphur oxide emissions and water use in two highly polluting industries; Electricity production and Chemical industry in 33 countries, including the EU-27, Brazil, India and China, the USA, Canada and Japan from 1995 to 2009. Some of the results highlights include: On average, direct carbon emissions in the electricity sector across all 27 member states of the EU was estimated to be 1368 million tonnes and indirect carbon emissions to be 470.7 million tonnes per year representing 25.6% of the EU-27 total carbon emissions related to this sector. It was also observed that from 2004, sulphur oxide emissions intensities in electricity production in India and China have remained relatively constant at about 62.8 gSOx/$ and 84.4 gSOx/$ although being higher than in other countries. In terms of water use, the high water use intensity in China (1040.27 litres/$) and India (961.63 litres/$), which are among the highest in the sector in the electricity sector is exacerbated by both countries being ranked as High Water Stress Risk countries. udThe paper also highlights many merits of the MRIO including: a 15-year time series study (which provides a measurement of environmental performance of key industries and an opportunity to assess technical and technological change during the investigated time period), a supply chain approach that provides a consistent methodological framework and accounts for all upstream supply chain environmental impacts throughout entire global supply chains.udThe paper also discusses the implications of the study to environmental sustainability performance measurement in terms of the level of analysis from a value chain hierarchy perspective, methodological issues, performance indicators, environmental exchanges and policy relevance.
机译:尽管可持续供应链管理的基本原则已经融合,但衡量环境可持续供应链的绩效已成为一项挑战。供应链本质上是动态且复杂的,并且因为可以使用多种度量来表征绩效,这一事实加剧了这一挑战。 ud通过找出文献中有关绩效评估的一些关键问题,本文通过对经济部门(第一,第二和第三产业)采用环境绩效评估方法,为现有文献做出了贡献。它使用经济部门,并根据已建立的多区域投入产出(MRIO)建模框架,在特定国家以及全球价值链的一部分中对部门进行评估。 MRIO模型已用于计算直接和间接(即供应链或上游)环境影响,例如二氧化碳,二氧化硫,生物多样性,水消耗和污染等,仅举几个应用。在本文中,我们使用MRIO来计算排放量和资源消耗的强度和足迹,直接和间接影响以及国家之间的净排放量。在两个高度污染的行业中,通过使用碳排放,二氧化硫排放和水使用来举例说明这些问题。 1995年至2009年,在33个国家/地区生产电力和化学工业,包括欧盟27国,巴西,印度和中国,美国,加拿大和日本。其中一些主要成果包括:平均而言,整个电力部门的直接碳排放量欧盟所有27个成员国的碳排放估计每年为13.68亿吨,间接碳排放为4.707亿吨,占欧盟27国与该部门相关的碳排放总量的25.6%。还观察到,从2004年开始,印度和中国的电力生产中的硫氧化物排放强度一直保持相对稳定,分别为62.8 gSOx / $和84.4 gSOx / $,尽管高于其他国家。在用水方面,中国(1040.27升/美元)和印度(961.63升/美元)的高用水强度在电力行业中位居前列,两国均被加剧,被列为高用水量。压力风险大的国家。 ud本文还重点介绍了MRIO的许多优点,包括:一项为期15年的时间序列研究(它提供了对关键行业的环境绩效的评估,并有机会在所研究的时期内评估技术和技术变化),供应链方法 ud本文还从价值链层次结构的角度分析了研究对环境可持续性绩效衡量的意义,并从整个价值链层次结构的角度对研究进行了讨论。方法问题,绩效指标,环境交流和政策相关性。

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