碳排放精准表征

CEADs研究|2002-2017年区分企业所有制的中国340个城市多区域投入产出表（MRIO）发布

01 数据概览 CEADs团队成员郑赫然博士联合北京师范大学、对外经济贸易大学、清华大学、上海对外经贸大学等国内外投入产出领域的领先团队，成功开发了覆盖2002至2017年间、区分企业所有制的中国340个城市多区域投入产出表（MRIO）。 该研究填补了现有中国城市MRIO研究中对企业异质性长期忽视的空白。国有企业、港澳台资企业以及外...

CEADs研究：南美十国2010-2020碳排放清单编制及驱动因素分析

CEADs研究成果 随着全球应对气候变化的持续推进，各国纷纷制定减排目标，以达成碳中和目标。然而，新兴经济体的快速工业化和城市化导致近年来二氧化碳排放快速增长，增速超过全球平均水平，给全球气候变化缓解带来严峻挑战。因此，需要明确基础的二氧化碳排放数据，深入调查新兴经济体二氧化碳排放部门、能源类型和地区的...

CEADs研究：食品消费加剧全球供应链温室气体排放

CEADs研究成果 农粮系统推动了土地利用和农业生产等多项活动，贡献了约三分之一的人类温室气体排放。随着全球人口持续增长、粮食生产扩张以及肉类饮食比例的增加，食品消费所带来的温室气体排放会进一步增长，挤压全球碳预算。因此，实现从生产到消费食品全供应环节的核算与减排对全球气候变化治理至关重要。以往研究大多...

CEADs研究：中国3000家上市企业价值链(范围三)碳足迹核算与发布

研究背景 近年来，上市企业面临着日益增加的碳足迹信息披露压力，投资者也越来越关注其投资活动的环境影响。然而上市企业的现有碳足迹信息披露往往局限于企业的直接（范围一和二）碳足迹，而忽略了占企业碳足迹主体的价值链（范围三）碳足迹。造成该问题的主要原因是企业收集上游供应商和下游买家及整体产业链数据获取...

Energy-related CO emission accounts and datasets for 40 emerging economies in 2010–2019

Since 2000, CO2 emissions from emerging economies have outstripped those of developed economies. To limit global warming to under 1.5 ∘C by 2100, over 100 emerging economies have proposed net-zero carbon targets. Yet the supportive data are lacking – no inventory of CO2 emission outlines detailed sources by sector or distribution at the subnational level for these economies. Here, we redress the balance by establishing a dataset fo...

Global oil refining's contribution to greenhouse gas emissions from 2000 to 2021

The refining industry is the third-largest source of global greenhouse gas (GHG) emissions from stationary sources, so it is at the forefront of the energy transition and net zero pathways. The dynamics of contributors in this sector such as crucial countries, leading enterprises, and key emission processes are vital to identifying key GHG emitters and supporting targeted emission reduction, yet they are still poorly understood. Here, we...

Entropy-based Chinese city-level MRIO table framework

Cities are pivotal hubs of socioeconomic activities, and consumption in cities contributes to global environmental pressures. Compiling city-level multi-regional input-output (MRIO) tables is challenging due to the scarcity of city-level data. Here we propose an entropy-based framework to construct city-level MRIO tables. We demonstrate the new construction method and present an analysis of the carbon footprint of cities in China's Hebei...

Full-scale, near real-time multi-regional input–output table for the global emerging economies (EMERG

Multi-regional input–output (MRIO) models are widely used to analyze the economic interdependencies between regions in the context of global trade and environmental research. MRIO tables enable us to teleconnect the sectors in different regions along the supply chain and track both direct and indirect impacts of global production. Yet emerging economies—despite reshaping international trade patterns and playing an increasingly import...

Emission accounting and drivers in East African countries

East Africa is typical of the less developed economies that have emerged since the 21st century, whose brilliant economic miracle has also triggered the rapid growth of energy consumption and carbon dioxide emissions. However, previous carbon accounting studies have never focused on the region. Based on multi-source data, this paper rebuilt the 45-sectors carbon emission inventories of eight East African countries from 2000 to 2017, and ...

Chinese provincial multi-regional input-output database for 2012, 2015, and 2017

Global production fragmentation generates indirect socioeconomic and environmental impacts throughout its expanded supply chains. The multi-regional input-output model (MRIO) is a tool commonly used to trace the supply chain and understand spillover effects across regions, but often cannot be applied due to data unavailability, especially at the sub-national level. Here, we present MRIO tables for 2012, 2015, and 2017 for 31 provinces of...