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Datasets on the GRP of Russian regions, GRP sectoral composition and growth rates in 2013-2018.

ABSTRACT: This paper presents a comparative analysis of the gross regional products (GRPs) of 85 Russian regions. Statistical methods were used to analyze datasets on regional GRP, its sectoral composition and growth rates. Many datasets have been computed for the first time, including those of gross value added per capita and per employee. The work reviews a range of evidence on the contribution of the production of goods and market and non-market services to regional GRPs. The production of goods was further analyzed by economic sectors for each region. The data used in computations were provided by the Russian Federal State Statistics Service (ROSSTAT). The authors built a typology of Russian regions based on GRP figures, GRP sectoral composition and growth rates. The data obtained make it possible to determine a set of indicators of the geographical distribution of Russia's economy and its growth rates. The findings are presented in the form of tables, maps and graphic materials (three tables, three charts and 11 cartographic maps), displaying quantitative measures of the economic performance of Russian regions .

SUBMITTER: Fedorov GM

PROVIDER: S-EPMC7718172 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Datasets on the GRP of Russian regions, GRP sectoral composition and growth rates in 2013-2018.

Fedorov Gennady M GM Kuznetsova Tatyana Yu TY

Data in brief 20201125

This paper presents a comparative analysis of the gross regional products (GRPs) of 85 Russian regions. Statistical methods were used to analyze datasets on regional GRP, its sectoral composition and growth rates. Many datasets have been computed for the first time, including those of gross value added per capita and per employee. The work reviews a range of evidence on the contribution of the production of goods and market and non-market services to regional GRPs. The production of goods was fu ...[more]

PMID: 33304954

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Project description:Background and aimsDespite increases in opioid prescribing and related morbidity and mortality, few studies have comprehensively documented harms across opioid types. We examined a population-wide indicator of extramedical pharmaceutical opioid-related harm to determine if the supply-adjusted rates of ambulance presentations, the severity of presentations or other attendance characteristics differed by opioid type.DesignRetrospective observational study of coded ambulance patient care records related to extramedical pharmaceutical opioid use, January 2013 to September 2018.SettingAustralia CASES: Primary analyses used Victorian data (n = 9823), with available data from other Australian jurisdictions (n = 4338) used to determine generalizability.MeasurementsWe calculated supply-adjusted rates of attendances using Poisson regression, and used multinomial logistic regression to compare demographic, presentation severity, mental health, substance use and other characteristics of attendances associated with seven pharmaceutical opioids.FindingsIn Victoria, the highest rates of attendance [per 100?000 oral morphine equivalent mg (OME)] were for codeine (0.273/100?000) and oxycodone (0.113/100?000). The lowest rates were for fentanyl (0.019/100?000) and tapentadol (0.005/100?000). Oxycodone-naloxone rates (0.031/100 000) were lower than for oxycodone as a single ingredient (0.113/100?000). Fentanyl-related attendances were associated with the most severe characteristics, most likely to be an accidental overdose, most likely to have naloxone administered and least likely to be transferred to hospital. In contrast, codeine-related attendances were more likely to involve suicidal thoughts/behaviours, younger females and be transported to hospital. Supply-adjusted attendance rates for individual opioids were stable over time. Victorian states were broadly consistent with non-Victorian states.ConclusionsIn Australia, rates and characteristics of opioid-related harm vary by opioid type. Supply-adjusted ambulance attendance rates appear to be both stable over time and unaffected by large changes in supply.

Dataset Information

Datasets on the GRP of Russian regions, GRP sectoral composition and growth rates in 2013-2018.

Publications

Datasets on the GRP of Russian regions, GRP sectoral composition and growth rates in 2013-2018.

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