Russian Federation
Одним из главных вызовов, который стоит перед Республикой Бурятия - субъектом Российской Федерации, является необходимость найти верный баланс при решении двух задач: защиты озера Байкал как уникального водного объекта, включенного в список Всемирного природного наследия ЮНЕСКО, и его экосистемы, и динамичного и устойчивого социально-экономического развития республики. Это требует совершенствования водной политики и ее инструментов: экономических, административных, информационных и других. Рекомендации данного отчета направлены на достижение этой цели. Они включают: введение платы за забор поливной воды (за воду, как природный ресурс); усиление господдержки водного сектора; и улучшение экономических инструментов управления рисками негативного воздействия вод (в т.ч. с использованием таких инструментов, как обязательное страхование и дифференциация ставок земельного налога в зонах высокого риска затопления). Также рекомендуется опробовать ряд инновационных инструментов, таких как: установление лимитов сброса определенных опасных загрязняющих веществ в пилотной зоне (например, в бассейне реки Селенга) и постепенное развития рынка купли-продажи квот на сбросы этих веществ в пределах установленного лимита сброса; а также введение платы за (налога на) токсичные агрохимикаты (пестициды, гербициды и другие) и синтетические моющие средства, чтобы создать стимулы к сокращению диффузного загрязнения водных ресурсов.
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.
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.
This dataset comprises statistics on different transactions and balances to get from the GDP to the net lending/borrowing. It includes national disposable income (gross and net), consumption of fixed capital as well as net savings. It also includes transaction components such as net current transfers and net capital transfers. Data are expressed in millions of national currency as well as US dollars and available in both current and constant prices. Data are provided from 1950 onwards.
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.
This dataset contains data on regional innovation: R&D expenditures by sector, R&D personnel by sector, educational attainment of the labour force, enrollment by level of education, employment in high-technology sectors, patent applications, percentage of households with access to broadband with a geographic coverage of TL2. The data is compared in terms of million of current USD PPP or in terms of percentage of the population.
This dataset comprises statistics on different transactions and balances to get from the GDP to the net lending/borrowing. It includes national disposable income (gross and net), consumption of fixed capital as well as net savings. It also includes transaction components such as net current transfers and net capital transfers. Data are expressed in millions of national currency as well as US dollars and available in both current and constant prices. Data are provided from 1950 onwards.
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.
A major challenge facing the Republic of Buryatia, subject of the Russian Federation, is how to balance the task of protecting Lake Baikal – a unique water object and ecological system included in the UNESCO list of World Natural Heritage Areas – with the need for dynamic and sustainable socio-economic development of the republic. This requires streamlining and improving water policy jointly with economic, administrative, information and other policy instruments. The recommendations in this report aim to help achieve this objective. They include the introduction of abstraction charges for irrigation water as a natural resource; enhancement of state support to the water sector; and improvement of economic instruments for managing risks of water-related hazards (such as compulsory insurance and differentiated land tax rates in flood prone areas). A few innovative instruments are also recommended for pilot testing such as establishing limits for discharges of certain hazardous substances in a pilot area (e.g. Selenga river basin) and progressive development of market for tradable quotas for discharges of the “capped” pollutants; and introducing a charge (tax) on toxic agricultural chemicals (pesticides, herbicides, etc.) and synthetic detergents so that to create incentives for the reduction of diffuse water pollution.
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.
This dataset comprises statistics on different transactions and balances to get from the GDP to the net lending/borrowing. It includes national disposable income (gross and net), consumption of fixed capital as well as net savings. It also includes transaction components such as net current transfers and net capital transfers. Data are expressed in millions of national currency as well as US dollars and available in both current and constant prices. Data are provided from 1950 onwards.
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.
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.
This dataset contains data on regional innovation: R&D expenditures by sector, R&D personnel by sector, educational attainment of the labour force, enrollment by level of education, employment in high-technology sectors, patent applications, percentage of households with access to broadband with a geographic coverage of TL2. The data is compared in terms of million of current USD PPP or in terms of percentage of the population.
This publication examines the major policy challenges, achievements and next steps for the creation of a more entrepreneurial population and a stronger SME sector in the Russian Federation, which are critical to the country’s economic growth and diversification. Despite less regulatory burdens and more subsidy financing for start-ups, production modernisation, innovation and exporting, framework conditions need to be improved in areas such as the rule of law, commercialising science and improving entrepreneurial skills and education. Gaps in SME and entrepreneurship programmes also need to be filled, such as through new initiatives for high-growth firms and large firm-SME linkages. Strengthening business development services infrastructure and improving access to finance are further important challenges. All these improvements will need to be spread across the regions of the Russian Federation if national objectives for growth and balanced spatial development are to be met.
Bringing together the city of Krasnoyarsk and six adjacent smaller cities and rural districts, the Krasnoyarsk Agglomeration is increasingly emerging as the main economic hub of Eastern Siberia. Its relative weight in both population and economic activity continues to grow. This review examines the Agglomeration’s performance and potential, particularly with reference to such critical challenges as internal and external connectivity, human capital formation and innovation. These issues are analysed in the context of Krasnoyarsk’s unusual economic geography, which involves tremendous natural wealth, but also remote location, severe climatic conditions and relatively low density of settlement. Its experience is thus relevant to many remote, resource-rich regions across the globe.