Russian Federation

The labour market in Russia is very flexible. Firms adjust to economic shocks through wage cuts, working hour reductions and minimisation of non-wage labour costs. Workers react by changing jobs. This results in a high and stable overall employment rate, but also high wage inequality, informality and labour turnover, which limits incentives for firms to invest in human capital and productivity improvements.

While educational attainment is very high, the education system needs to be strengthened to respond to the needs of a skill-based economy. School-employer cooperation is low and opportunities for higher education are unequally distributed. Adequate funding for education institutions is not assured everywhere while inefficiencies persist.

Private spending on innovation is very low and Russia underperforms in terms of scientific outputs and patents. Support for low-tech innovation and technology adoption, especially among SMEs is narrow because of a bias towards large and high-tech projects, which however are only loosely related to Russian manufacturing capacity. Reform of the public R&D sector is incomplete, notably with respect to strengthening funding on a competitive basis.

Institutional investors (investment funds, insurance companies and pension funds) are major collectors of savings and suppliers of funds to financial markets. Their role as financial intermediaries and their impact on investment strategies have grown significantly over recent years along with deregulation and globalisation of financial markets.

This publication provides a unique set of statistics that reflect the level and structure of the financial assets of institutional investors in the OECD countries, and in the Russian Federation. Concepts and definitions are predominantly based on the System of National Accounts. Data are derived from national sources.

Data include outstanding amounts of financial assets such as currency and deposits, securities, loans, and shares. When relevant, they are further broken down according to maturity and residency. The publication covers investment funds, of which open-end companies and closed-end companies, as well as insurance corporations and autonomous pension funds. Indicators are presented as percentages of GDP allowing for international comparisons, and at country level, both in national currency and as percentages of total financial assets of the investor. Time series display available data for the last eight years.

Les investisseurs institutionnels (sociétés d’assurance, sociétés d’investissement et fonds de pension) sont les principaux collecteurs de l’épargne et émetteurs de fonds sur les marchés financiers. Leur rôle en tant qu’intermédiaires financiers et leur impact sur les stratégies d’investissement se sont accrus de façon significative au cours des dernières années avec la déréglementation et la mondialisation des marchés financiers.

Cette publication constitue un ensemble unique d'indicateurs reflétant le niveau et la structure des actifs financiers des investisseurs institutionnels dans les pays de l'OCDE et dans la Fédération de Russie. Les concepts et les définitions reposent essentiellement sur le système de comptabilité nationale. Les données proviennent des sources nationales.

Les données se rapportent aux encours d’actifs financiers tels que numéraire et dépôts, titres, crédits, et actions. Lorsque c’est pertinent, les données sont ventilées selon leur maturité et résidence. La publication couvre les fonds d'investissement, dont les fonds à capital variable et ceux à capital fixe, ainsi que les sociétés d'assurance et les fonds de pension autonomes. Les indicateurs sont présentés en pourcentage du PIB pour les comparaisons internationales, et au niveau de chaque pays, à la fois en monnaie nationale et en pourcentage du total des actifs financiers de l’investisseur. Les séries temporelles présentent les données disponibles pour les 8 dernières années.

This report contains the 2014 “Phase 2: Implementation of the Standards in Practice” Global Forum review of the Russian Federation.

The Global Forum on Transparency and Exchange of Information for Tax Purposes is the multilateral framework within which work in the area of tax transparency and exchange of information is carried out by over 120 jurisdictions which participate in the work of the Global Forum on an equal footing.

The Global Forum is charged with in-depth monitoring and peer review of the implementation of the standards of transparency and exchange of information for tax purposes. These standards are primarily reflected in the 2002 OECD Model Agreement on Exchange of Information on Tax Matters and its commentary, and in Article 26 of the OECD Model Tax Convention on Income and on Capital and its commentary as updated in 2004, which has been incorporated in the UN Model Tax Convention.

The standards provide for international exchange on request of foreseeably relevant information for the administration or enforcement of the domestic tax laws of a requesting party. “Fishing expeditions” are not authorised, but all foreseeably relevant information must be provided, including bank information and information held by fiduciaries, regardless of the existence of a domestic tax interest or the application of a dual criminality standard.

All members of the Global Forum, as well as jurisdictions identified by the Global Forum as relevant to its work, are being reviewed. This process is undertaken in two phases. Phase 1 reviews assess the quality of a jurisdiction’s legal and regulatory framework for the exchange of information, while Phase 2 reviews look at the practical implementation of that framework. Some Global Forum members are undergoing combined – Phase 1 plus Phase 2 – reviews. The ultimate goal is to help jurisdictions to effectively implement the international standards of transparency and exchange of information for tax purposes.

After having explained the smaller gender gap in social entrepreneurship compared to commercial entrepreneurship, this paper provides information on female management style and on the innovation capacity of social enteprises led by women. This Report is based on SELUSI data and presents three specific case studies from Hungary, Russia and Chile.

Russia holds among the world’s largest resources of gas, oil and coal. Its liquids production has reached historical highs, yet major additional upstream investments and technology upgrades will be needed to sustain these levels in the long term. Since the IEA’s last review of Russia’s energy policies in 2002, the power sector has also liberalised considerably. However, the Russian economy remains largely inefficient, with twice as much energy used per GDP compared with IEA member countries. Ambitious energy efficiency policies have been introduced but have not led to significant improvements so far. At the same time, the electricity and district heating infrastructure is ageing and requires rapid investments. Russia’s overall energy sector would benefit considerably from a more competitive, market-oriented environment.

While a number of policies aimed at modernising the energy sector and increasing its efficiency and sustainability are being developed or implemented, further reforms are needed. This review analyses the energy-policy challenges facing Russia and provides critiques and recommendations for further policy improvements.

Gross domestic product (GDP) is the standard measure of the value of final goods and services produced by a country during a period minus the value of imports. This subset of Aggregate National Accounts comprises comprehensive statistics on gross domestic product (GDP) by presenting the three different approaches of its measure of GDP: output based GDP, expenditure based GDP and income based GDP. These three different measures of gross domestic product (GDP) are further detailed by transactions whereby: the output approach includes gross value added at basic prices, taxes less subsidies, statistical discrepancy; the expenditure approach includes domestic demand, gross capital formation, external balance of goods and services; and the income approach includes variables such as compensation of employees, gross operating surplus, taxes and production and imports. Gross domestic product (GDP) data are measured in national currency and are available in current prices, constant prices and per capita starting from 1950 onwards.

 

Institutional investors (investment funds, insurance companies and pension funds) are major collectors of savings and suppliers of funds to financial markets. Their role as financial intermediaries and their impact on investment strategies have grown significantly over recent years along with deregulation and globalisation of financial markets.

This publication provides a unique set of statistics that reflect the level and structure of the financial assets of institutional investors in the OECD countries, and in the Russian Federation. Concepts and definitions are predominantly based on the System of National Accounts. Data are derived from national sources.

Data includes outstanding amounts of financial assets such as currency and deposits, securities, loans, and shares. When relevant, they are further broken down according to maturity and residency. The publication covers investment funds, of which open-end companies and closed-end companies, as well as insurance corporations and autonomous pension funds. Indicators are presented as percentages of GDP allowing for international comparisons, and at country level, both in national currency and as percentages of total financial assets of the investor. Time series display available data for the last eight years.

The complete database with longer time series is also available on line at http://dx.doi.org/10.1787/data-00498-en.

Les investisseurs institutionnels (sociétés d’assurance, sociétés d’investissement et fonds de pension) sont les principaux collecteurs de l’épargne et émetteurs de fonds sur les marchés financiers. Leur rôle en tant qu’intermédiaires financiers et leur impact sur les stratégies d’investissement se sont accrus de façon significative au cours des dernières années avec la déréglementation et la mondialisation des marchés financiers.

Cette publication constitue un ensemble unique d'indicateurs reflétant le niveau et la structure des actifs financiers des investisseurs institutionnels dans les pays de l'OCDE et dans la Fédération de Russie. Les concepts et les définitions reposent essentiellement sur le système de comptabilité nationale. Les données proviennent des sources nationales.

Les données se rapportent aux encours d’actifs financiers tels que numéraire et dépôts, titres, crédits, et actions. Lorsque c’est pertinent, les données sont ventilées selon leur maturité et résidence. La publication couvre les fonds d'investissement, dont les fonds à capital variable et ceux à capital fixe, ainsi que les sociétés d'assurance et les fonds de pension autonomes. Les indicateurs sont présentés en pourcentage du PIB pour les comparaisons internationales, et au niveau de chaque pays, à la fois en monnaie nationale et en pourcentage du total des actifs financiers de l’investisseur. Les séries temporelles présentent les données disponibles pour les 8 dernières années.

This paper takes stock of informal employment in Russia analysing its incidence and determinants. Using the regular 2003-11 waves and an informality supplement of the Russian Longitudinal Monitoring Survey (RLMS) it develops several measures of informal employment and demonstrates that the incidence varies widely across the different definitions. We also show that the determinants of informal employment are roughly stable across the different measures: workers who are males, relatively young, unskilled and employed in construction and trade and related services have a higher likelihood to have an informal job. We also take a look at the issue of labour market segmentation along the informal-formal divide by estimating an informal-formal wage gap at the means and across the entire wage distributions. We find only weak evidence for labour market segmentation in Russia when estimating an informal-formal wage gap for salaried workers at the mean. The results of quantile regressions show a wage penalty in the lower half of the distribution and no gap in the upper half for informal employees. In contrast, informal self-employed and entrepreneurs have conditional mean wages that are higher than the mean wages for the formally employed. Across the entire wage distribution, however, we find a negative wage gap in the lowest quartile and a strongly positive wage gap in the highest quartile, pointing to a segmented informal sector with a lower free entry tier and an upper rationed tier. This Working Paper relates to the 2014 OECD Economic Survey of the Russian Federation (www.oecd.org/eco/surveys/russia).

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

Cette base de données comprend des données sur les fonds de pension, par type de plans et type de fonds. Tous les types de plans sont inclus : professionnels et individuels, obligatoires et facultatifs.

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

Cette base de données comprend des données sur les fonds de pension, par type de plans et type de fonds. Tous les types de plans sont inclus : professionnels et individuels, obligatoires et facultatifs.