Dataset Information

CO₂ emission accounts of Russia's constituent entities 2005-2019.

ABSTRACT: Constituent entities which make up Russia have wide-ranging powers and are considered as important policymakers and implementers of climate change mitigation. Formulation of CO₂ emission inventories for Russia's constituent entities is the priority step in achieving emission reduction. Russia is the world's largest exporter of oil and gas combined and the fourth biggest CO₂ emitter, so it's efforts in mitigating CO₂ emissions are globally significant in curbing climate change. However, the existing emission inventories only present national CO₂ emissions; the subnational emission details are missing. In addition, the emission factors are not country-specific and energy activity data by fossil energy types and sectors are not sufficiently detailed. In this study, the CO₂ emission inventories of Russia and its 82 constituent entities from 2005 to 2019 are constructed. The emission inventories include energy-related emissions with 89 socio-economic sectors and 17 energy types and process-related emissions. The uniformly formatted emission inventories can be a reference for in-depth analysis of emission characteristics and emission-related studies of Russia.

SUBMITTER: Xiao H

PROVIDER: S-EPMC8277808 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Publications

CO2 emission accounts of Russia's constituent entities 2005-2019.

Xiao Huijuan H Zhao Weichen W Shan Yuli Y Guan Dabo D

Scientific data 20210713 1

Constituent entities which make up Russia have wide-ranging powers and are considered as important policymakers and implementers of climate change mitigation. Formulation of CO2 emission inventories for Russia's constituent entities is the priority step in achieving emission reduction. Russia is the world's largest exporter of oil and gas combined and the fourth biggest CO2 emitter, so it's efforts in mitigating CO2 emissions are globally significant in curbing c ...[more]

PMID: 34257308

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Project description:The article shows the possibilities of Data Set "Interactive Statistics and Intelligent Analytics of the Balanced State of the Regional Economy of Russia in Terms of Big Data and Blockchain - 2020". For creation of the data set, we formed time rows of the values of the selected indicators, which characterize the balance of Russia's regional economy. The indicators are systematized and classified into two categories. The first category includes the indicators of the level of socio-economic development: GDP per capita and "underdevelopment whirlpools", balanced financial result of companies' activities, population's employment level, and balance of the regional budget, calculated by finding the difference between revenues and expenditures. The second category includes the indicators of potential of socio-economic development: investments into fixed capital per capita, share of innovations-active organizations, share of innovative products, and digitization level. The data are collected in a table, based on which - with the help of programming and web-design - a data set is created - an interactive platform for working with data. The data set is available in Russian and English at the official web-site of the Institute of Scientific Communications [12]. The data set unifies and transfers into the digital form the data on the level and potential of Russia's regions' potential of socio-economic development. The data set allows for flexible setting of data for any research. The data set allows - based on the statistics of a region's socio-economic development - determining its position in the Russian national ranking, category by the "TRMS" matrix, calculating the integral index for each region, and comparing its values. Using the proprietary methodology of calculation of "underdevelopment whirlpools" of Prof. Popkova, the data set reflects the balance of Russia's regional economy in 2005-2024. The data set allows for automatic visualization of data by creating a blockchain polygon of region's socio-economic development, which includes the chronogram of the region's development and the process of region's pulling into an "underdevelopment whirlpool". The data set's data are presented in the form of an interactive map of Russia's regional economy. Map's color shows categories that are assigned to regions and the borders of regions, as well as information on each region's position in the 2020 rating. The data set allows for large-scale studies of Russia's regional economy with application of technologies of Big Data processing, machine learning, and intellectual analytics.

Dataset Information

CO₂ emission accounts of Russia's constituent entities 2005-2019.

Publications

CO<sub>2</sub> emission accounts of Russia's constituent entities 2005-2019.

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