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Organisation for Economic Co-operation and Development

The Organisation for Economic Co-operation and Development (OECD) is an international economic organisation of 34 countries founded in 1961 to stimulate economic progress and world trade. It is a forum of countries committed to democracy and the market economy, providing a platform to compare policy experiences, seek answers to common problems, identify good practices and co-ordinate domestic and international policies of its members.

Todos os conjuntos de dados:  I P T
  • I
  • P
    • novembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 04 novembro, 2019
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      The 'Production and Sales (MEI)' dataset is a dataset containing predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and for selected other economies. The Production and Sales dataset contains industrial statistics on four separate subjects: Production; Sales; Orders; and Work started. The data series presented within these subjects have been chosen as the most relevant industrial statistics for which comparable data across countries is available. For Production, data comprise Indices of industrial production (IIP) for total industry, manufacturing, energy and crude petroleum; and further disaggregation of manufacturing production for intermediate goods and for investment goods and crude steel. For others, they comprise retail trade and registration of passenger cars; and permits issued and work started for dwellings. Considerable effort has been made to ensure that the data are internationally comparable across all countries presented, coverage for as many countries as possible, and that all the subjects have reasonable length of time-series to assist analysis. Most data are available monthly and are presented as an index (where the year 2010 is the base year) or as a level depending on which measure is seen as the most appropriate and/or useful in the economic analysis context. Due to differences in statistical or economic environment at country level, however, availability of data varies from one country to another.
  • T
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2018
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      This table presents export/import information by detailed activity sectors (ISIC Rev.4)
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 março, 2019
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      The central issue of trade by enterprise characteristics is to disaggregate trade flows according the characteristics of the enterprises engaged in cross-border transactions. The feasibility of doing so largely depends on the possibility of using or developing common identifiers between the trade register and the business register. Countries differ in their ability to perform such a linking, and matching ratios (between business and trade registers) vary across countries, and as a consequence the degree of representativeness of the results also varies across countries.
    • junho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 05 junho, 2019
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      The central issue of trade by enterprise characteristics is to disaggregate trade flows according the characteristics of the enterprises engaged in cross-border transactions. The feasibility of doing so largely depends on the possibility of using or developing common identifiers between the trade register and the business register. Countries differ in their ability to perform such a linking, and matching ratios (between business and trade registers) vary across countries, and as a consequence the degree of representativeness of the results also varies across countries.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      The types of services are presented according to the services classification of the 1993 Fifth edition of the Balance of Payments Manual of the International Monetary Fund (BPM5) and its detailed extension, the Extended Balance of Payments Services (EBOPS) Classification.
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 agosto, 2019
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      The Trade in Value Added (TiVA) database consists of a set of measures that aim to provide better insights into global production networks and supply chains than is possible with conventional trade statistics.   Gross exports by origin of value added and final destination, presented here, is derived from the latest version of the OECD's Inter-Country Input-Output (ICIO) Database and provides estimates of gross exports by industry i in country c, broken down by the value added originating from source country/region s and, according to the final demand destination country/region p.   Estimates are provided for country c, industry i, exports of final goods and services (FD_EXGRFNL_VA), exports of intermediate goods and services (FD_ EXGRINT_VA) and total exports (FD_EXGR_VA), and can reveal whose final demand drives a country’s exporting activities.   These indicators can also show how value added originating in source country s may rely on the exporting activities of industry i in country/region c to reach final demand in country/region p.   However, note that the same value added originating from source country s can be present in the gross exports of more than one exporting country c (as embodied value added, from upstream production, may cross national borders many times). In general, therefore, these estimates should be viewed from the perspective of an exporting country c.   For a description of the method used for calculating these estimates using the ICIO, see the forthcoming Indicators Guide.
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
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      The Trade in Value Added (TiVA) database consists of a set of measures that aim to provide better insights into global production networks and supply chains than is possible with conventional trade statistics.   The Origin of value added in final demand presented here, is derived from the latest version of OECD’s Inter-Country Input-Output (ICIO) database and provides estimates of final demand in country c for industry i final goods and services, broken down by the value added originating from source industry j in source country s.   In other words, it reveals how the value of final demand goods and services consumed within a country is an accumulation of value generated by many industries in many countries.   For a description of the method used for calculating these estimates using the ICIO   Domestic value added origin is shown where source country s = c and, for convenience, also represented by source country = “DXD: Domestic”.   From this data cube, a range of final demand-based measures can be derived including those in TiVA principal indicators cube such as: • Domestic value added embodied in foreign final demand, FFD_DVA and related partner shares FFD_DVApSH. • Foreign value added embodied in domestic final demand, DFD_FVA and related partner shares DFD_FVApSH.
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
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      The Trade in Value Added (TiVA) database consists of a set of measures that aim to provide better insights into global production networks and supply chains than is possible with conventional trade statistics.   The Origin of value added in gross exports presented here, is derived from the latest version of OECD’s Inter-Country Input-Output (ICIO) database and provides estimates of gross exports of goods and services by exporting industry i in country c, broken down by the value added originating from source industry j in source country/region s.   In other words, it reveals how the value of a country’s gross exports of intermediate and final products is an accumulation of value generated by many industries in many countries.   For a description of the method used for calculating these estimates using the ICIO.   Domestic value added origin is shown where source country s = c and, for convenience, also represented by source country = “DXD: Domestic”.   From this data cube, a range of gross exports-based measures can be derived including those in TiVA principal indicators cube such as: • Total gross exports by industry, EXGR (c,i): set source country s = World, source industry j = DTOTAL. • Total domestic and foreign value added content of gross exports by industry, EXGR_DVA (c,i) and EXGR_FVA (c,i). For EXGR_DVA, set source country p = DXD “Domestic”, source industry j = DTOTAL. • Shares of EXGR_DVA and EXGR_FVA in relation to EXGR such as EXGR_DVASH (c,i), EXGR_TDVAIND (c,i), and the “GVC backward linkage” indicators EXGR_FVASH (c,i) and EXGR_TFVAIND (c,i). • “GVC forward linkage” indicators such as EXGR_DVAFXSH. • Service value added contents of gross exports EXGR_SERV_DVASH(c,i) and EXGR_SERV_FVASH(c,i). Set source industry j = “D41T98: Total Services including Construction activities”.   For regions, exports exclude intra-regional trade and intra-regional value added flows are considered as domestic value added. For example, for exporting region EU28, exports are to non-EU28 and source country “DXD : domestic” includes value added originating from Member States.   Note that the same value added originating from industry j in country p can be present in the gross exports of more than one country c (as embodied value added, from upstream production, may cross national borders many times). In general, therefore, these estimates should be viewed from the perspective of the exporting country c and exporting industry i. However, for indicators of “GVC forward linkages” a source country p, source industry j perspective is required.
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 agosto, 2019
      Selecionar Conjunto de dados
      The Trade in Value Added (TiVA) database consists of a set of measures that aim to provide better insights into global production networks and supply chains than is possible with conventional trade statistics.   The Origin of value added in gross imports presented here, is derived from the latest version of OECD’s Inter-Country Input-Output (ICIO) database and provides estimates of gross imports by country c of goods and services from industry i in partner country/region p broken down by value added originating from source country/region s.   In other words, the four dimensions link the imports of country c to the value added from source country s embodied in the exports of industry i in the exporting country p - thus revealing how the value of a country’s gross imports of intermediate and final products from a particular partner is an accumulation of value generated by many countries.   For a description of the method used for calculating these estimates, using the ICIO   From this data cube, a range of gross imports-based measures can be derived including the following found in the main TiVA indicators database: • Total gross imports by industry, IMGR (c,i): set exporting country p = World and source country s = World. • Domestic value added content of gross imports by partner and industry, IMGR_DVA (c , i, p): set source country s = importing country c. • Share of IMGR_DVA in relation to IMGR: IMGR_DVAsh (c, i, p).   Note that the same value added originating from source country s can be present in the gross imports of more than one importing country c (as embodied value added, from upstream production, may cross national borders many times). In general, therefore, these estimates should be viewed from the perspective of an importing country c.
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
      Selecionar Conjunto de dados
      The Trade in Value Added (TiVA) database is a collection of measures that can provide insights into global production networks and supply chains beyond what is possible with conventional trade statistics. The TiVA database presented here contains a selection of principal indicators that track the origins of value added in exports, imports and final demand for the years 2005-2015.  The current 2018 edition covers 64 economies(including all OECD, EU and G20 countries and most East and Southeast Asian economies) as well as region aggregates. Indicators are available for 36 industries within a hierarchy based on ISIC Rev. 4. For certain indicators, preliminary estimates for the year 2016 are provided. The indicators are derived from the 2018 version of OECD's Inter-Country Input-Output (ICIO) Database (see web page http://oe.cd/icio).  To construct ICIO tables, national Supply and Use tables (SUTs) and Input-Output tables (IOTs) are transformed (or harmonised) to standard formats and classifications, combined with bilateral trade in goods and services statistics from international sources, and then balanced under constraints based on official (SNA08) National Accounts by economic activity and National Accounts main aggregates time series.

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