{"title":"GTAP- Power Database: Version 10","authors":"M. Chepeliev","doi":"10.21642/jgea.050203af","DOIUrl":null,"url":null,"abstract":"This paper documents changes introduced to version 10 of the Global Trade Analysis Project (GTAP) Power (GTAP-Power 10) Data Base construction process relative to the GTAP-Power build stream developed in Peters (2016). First, in Peters (2016) output of the electricity and heat generation sector was split into different technologies using electricity generation data only. We use heat and electricity generation volumes to provide a more representative sectoral split and achieve a better concordance with GTAP 10 Data Base sectoral definitions. Second, we introduce data on country and year-specific shares of transmission and distribution costs in electricity price for 80 countries. In the GTAP-Power 9 Data Base this cost share was assumed to be uniform across all countries and regions. Finally, for every reference year, we update the levelized cost of electricity generation. We first compare GTAP-Power 9 Data Base construction results with and without corresponding changes. We then construct the GTAP-Power 10 Data Base and showcase how it can be used to estimate carbon dioxide emissions embodied in final consumption of electricity generated by different technologies.","PeriodicalId":44607,"journal":{"name":"Journal of Global Economic Analysis","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Economic Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21642/jgea.050203af","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 7
Abstract
This paper documents changes introduced to version 10 of the Global Trade Analysis Project (GTAP) Power (GTAP-Power 10) Data Base construction process relative to the GTAP-Power build stream developed in Peters (2016). First, in Peters (2016) output of the electricity and heat generation sector was split into different technologies using electricity generation data only. We use heat and electricity generation volumes to provide a more representative sectoral split and achieve a better concordance with GTAP 10 Data Base sectoral definitions. Second, we introduce data on country and year-specific shares of transmission and distribution costs in electricity price for 80 countries. In the GTAP-Power 9 Data Base this cost share was assumed to be uniform across all countries and regions. Finally, for every reference year, we update the levelized cost of electricity generation. We first compare GTAP-Power 9 Data Base construction results with and without corresponding changes. We then construct the GTAP-Power 10 Data Base and showcase how it can be used to estimate carbon dioxide emissions embodied in final consumption of electricity generated by different technologies.
本文记录了全球贸易分析项目(GTAP)Power(GTAP Power 10)数据库构建过程第10版相对于Peters(2016)开发的GTAP Power构建流的更改。首先,在Peters(2016)中,仅使用发电数据将发电和供热部门的产出划分为不同的技术。我们使用热量和发电量来提供更具代表性的部门划分,并实现与GTAP 10数据库部门定义的更好一致性。其次,我们介绍了80个国家输电和配电成本在电价中的具体国家和年份份额的数据。在GTAP Power 9数据库中,假设所有国家和地区的成本份额是一致的。最后,对于每个参考年,我们都会更新发电的平准成本。我们首先比较了GTAP Power 9数据库的构建结果(有相应的更改和没有相应的更改)。然后,我们构建了GTAP Power 10数据库,并展示了如何使用它来估计不同技术产生的最终电力消耗中的二氧化碳排放量。