Canadian Provincial Input-Output Tables of Embodied Emissions, 2010-2015

This dataset was created using an environmentally extended multi-region input-output (EE-MRIO) model, which uses an input and output approach that tracks flows of monetary values of trade to allot environmental impacts between regions and sectors. The MRIO model is a predominant method for the estimation of consumption-based greenhouse gas (GHG) accounting. Our particular model was constructed using Python. The tabulated results show the flows of emissions embodied in imports, exports, and domestic consumption of a region. In our case, we calculated the consumption emissions of all Canadian provinces and territories from 2010-2015. The tables show intersectoral, interprovincial, and international flows of embodied emissions, presented in the North American Industry Classification System (NAICS)" Regarding our model’s inputs for estimating embodied emissions in international trade, we utilized the Environmental Accounts and financial input-output tables from the World Input-Output Database (WIOD). For estimating embodied emissions in Canada and Canada’s trade, we used Canada’s Physical Flow Accounts, Interprovincial Input-Output and Supply-Use Tables, and Canada’s Trade Online Data. These datasets were accessed in August 2019 from the following websites (see links): • WIOD Input-Output Tables: http://www.wiod.org/home • WIOD Environmental Accounts 2013: http://www.wiod.org/home • WIOD Environmental Accounts 2019: https://ec.europa.eu/jrc/en/research-topic/economic-environmental-and-social-effects-of-globalisation • Interprovincial Input-Output Tables: https://www150.statcan.gc.ca/n1/en/catalogue/15-211-X • Interprovincial Supply-Use Tables: https://www150.statcan.gc.ca/n1/en/catalogue/15-602-X • Physical Flow Accounts: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3810009701 • Canada’s Trade Online Data: https://www.ic.gc.ca/eic/site/tdo-dcd.nsf/eng/Home本数据集基于环境拓展多区域投入产出（environmentally extended multi-region input-output, EE-MRIO）模型构建，该模型通过投入产出框架追踪贸易货币流量，以在不同区域与行业间分配环境影响。多区域投入产出（multi-region input-output, MRIO）模型是当前估算基于消费的温室气体（greenhouse gas, GHG）核算的主流方法，本次研究所用模型基于Python语言搭建。 本研究的制表结果展示了单个区域进口、出口及国内消费中蕴含的排放流量。本次测算覆盖2010至2015年加拿大所有省份与地区的消费排放，表格以北美行业分类体系（NAICS）为分类标准，呈现了行业间、省际及国际层面的蕴含排放流动情况。 在估算国际贸易中蕴含排放的模型输入数据方面，本研究采用了世界投入产出数据库（World Input-Output Database, WIOD）中的环境账户与财务投入产出表。针对加拿大本国及其贸易相关的蕴含排放测算，本研究使用了加拿大物理流量账户、省际投入产出表与供给使用表，以及加拿大在线贸易数据。上述数据集均于2019年8月从以下网站获取（链接如下）： • WIOD投入产出表：http://www.wiod.org/home • 2013版WIOD环境账户：http://www.wiod.org/home • 2019版WIOD环境账户：https://ec.europa.eu/jrc/en/research-topic/economic-environmental-and-social-effects-of-globalisation • 省际投入产出表：https://www150.statcan.gc.ca/n1/en/catalogue/15-211-X • 省际供给使用表：https://www150.statcan.gc.ca/n1/en/catalogue/15-602-X • 物理流量账户：https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3810009701 • 加拿大在线贸易数据：https://www.ic.gc.ca/eic/site/tdo-dcd.nsf/eng/Home