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Dataset . 2021
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ZENODO
Dataset . 2021
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Dataset . 2021
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ZENODO
Dataset . 2021
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Energy-related CO2 Emission Accounts and Datasets for 40 Emerging Economies in 2010 - 2019

Authors: Cui, Can; Li, Shuping; Zhao, Weichen; Liu, Binyuan; Shan, Yuli; Guan, Dabo;

Energy-related CO2 Emission Accounts and Datasets for 40 Emerging Economies in 2010 - 2019

Abstract

The Carbon Emission Accounts and Datasets for emerging economies (CEADs, https://ceads.net) aims to provide transparent, verifiable, open-access data on the CO2 emissions of 40 emerging economies (accounting for 17.5% of the emissions and 12.9% of GDP of the world) for the period 2010-2019. Given the variety of statistical capacity among these countries, we standardized sectors using relevant data on energy and economic statistics and compiled emissions inventories at the regional level using sub-national statistics. For energy-related data, we included emissions from burning biomass, given its significance as an emissions source in these economies. The emissions dataset covers 47 economic sectors and 8 major energy categories in the 40 emerging economies, and in 28 we provide a subnational inventory. The emissions inventories are compiled for 47 economic sectors and 8 major categories.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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