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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.

所有数据集:  B E F I M O Q S T
  • B
    • 九月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 05 十月, 2018
      选择数据集
      STAN Bilateral Trade Database by Industry and End-use category (BTDIxE) provides values of imports and exports of goods broken down by industrial sectors and by end-use categories. BTDIxE was designed to extend the BTD database which provided bilateral trade in goods by industry only. BTDIxE allows, for example, insights into the patterns of trade in intermediate goods between countries to track global production networks and supply chains, and it helps to address policy issues such as trade in value added and trade in tasks.  The database presents estimates of bilateral flows (imports and exports) of goods from 1990 to the latest available year; 2015 is included when available (the latest year shown is subject to the availability of underlying product-based annual trade statistics).  Reporters are the OECD member countries and a large number of Non-OECD economies, including the BRIICS: Brazil, the Russian Federation, India, Indonesia, People's Republic of China and South Africa; other selected G20 and Asian economies; as well as major African nations. A snapshot of the database's coverage is available in BTDIxE major reporters.  It should be noted that starting from mid-2012, the OECD and the United Nations agreed to centralise the data collection and processing procedures within UNSD Comtrade.  The list of partners covers the OECD countries, more than a hundred of Non-member economies as well as the partners World, Rest of the World and Unspecified.  Trade flows are divided into economic activities based on the Revision 4 of ISIC, and 9 end-use categories including capital goods, intermediate goods and household consumption.
  • E
    • 七月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 08 八月, 2018
      选择数据集
      There has been a growing interest in monitoring patterns of trade in services around the world, which is partly associated with ongoing trade negotiations and partly due to the increasing importance of services in OECD economies. It has been developed to supplement other OECD publications on trade in services to address the data needs of trade analysts. It is also an important part of OECD's programme to facilitate the implementation of the recommendations of the revised Manual on Statistics of International Trade in Services 2010.Other commentsThe Task Force on Statistics of International Trade in Services maintains a matrix summarising the status of the trade in services data collection performed by International Organisations. The table displays links to the databases as well as update timetables, availability of metadata, availability of bilateral data, and other important characteristics.
  • F
    • 十一月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 十一月, 2018
      选择数据集
      OECD Factbook provides a global overview of today's major economic, social and environmental indicators which cover a wide range of areas: agriculture, economic production, education, energy, environment, foreign aid, health, industry, information and communications, international trade, labor force, population, taxation, public expenditure and R&D. More countries than ever are covered in greater detail, enabling direct comparisons for many indicators between OECD Members and Brazil, China, India, Indonesia, Russian Federation and South Africa.
  • I
    • 一月 2008
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 22 九月, 2014
      选择数据集
      ICT goods are those that are either intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR which use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process. ICT goods are defined by the OECD in terms of the Harmonised System. The guiding principle for the delineation of ICT goods is that such goods must either be intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process.Another guiding principle was to use existing classification systems in order to take advantage of existing data sets and therefore ensure the immediate use of the proposed standard. In this case, the underlying system is the Harmonized System (HS). The HS is the only commodity classification system used on a sufficiently wide basis to support international data comparison. A large number of countries use it to classify export and import of goods, and many countries use it (or a classification derived from or linked to it) to categorise domestic outputs.The application of the ICT product definition to selection of in-scope HS categories is a somewhat subjective exercise. The fact that the HS is not built on the basis of the functionality of products makes it much more difficult. The distinction between products which fulfil those functions and products that simply embody electronics but fundamentally fulfil other functions is not always obvious.It is possible to adopt a narrow or broad interpretation of the guideline, though the OECD chose a broader interpretation, an approach which is consistent with that adopted to develop the ICT sector definition.
    • 七月 2014
      来源: Organisation for Economic Co-operation and Development
      上传者: Pallavi S
      访问日期: 04 八月, 2014
      选择数据集
      The allocation of bilateral intermediate imports across using industries assumes that import coefficients are the same for all trade partners, i.e. SHAREipkt is identical across exporter countries. Hence, the bilateral pattern of imported intermediates from industry p is the same across all using industries k. However, it is different from the bilateral pattern of total imports from industry p because trade data (measured by VALUEijpt) allows distinguishing bilateral imports of intermediates from final good imports in industry p. While the BEC classification enables the identification of intermediate goods, no similar classification is available for trade in services, due to the high level of aggregation in services trade data. While goods trade data are based on customs declarations allowing the identification of goods at a highly disaggregated level, services trade data are based on a variety of information such as business accounts, administrative sources, surveys, and estimation techniques (Manual on Statistics of International Trade in Services, 2002). Hence, in the case of trade in services, VALUEijpt is the total value of imports of service p, i.e. both final and intermediate (and not only services that are used in the production of other goods and services, as in the case of goods data). By making an additional assumption and adjusting SHAREipkt, it is however possible to calculate trade in intermediate services. In the case of services imports, SHAREipkt is the share of imported service inputs p used by industry k in total imports of p of country i. In the case of services, besides the assumption that all trading partners have the same distribution of intermediate imports p across using industries k, it is furthermore required that the share of intermediate services in overall bilateral services imports of country i is the same across all partner countries j. Finally, it should be mentioned that trade data reported in the trade statistics do not fully match imports as reported in I-O tables. One main reason is that while trade data is recorded at consumer prices, I-O tables are evaluated at producer prices. There are also other differences such as the treatment of re-exports, scrap metal, waste products and second hand goods or unallocated trade data.
  • M
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
      选择数据集
      The International Trade (MEI) dataset contains predominantly monthly merchandise trade statistics, and associated statistical methodological information, for all OECD member countries and for all non-OECD G20 economies and the EU.   The dataset itself contains international trade statistics measured in billions of United States dollars (USD) for: Exports, Imports, Balance. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis.
  • O
    • 十二月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 03 十二月, 2018
      选择数据集
      In this version, seven GVCs indicators are presented for 59 economies (34 OECD and 23 non-OECD economies, plus the "rest of the world" and the European Union) for 18 industries in the years 1995, 2000, 2005, 2008 and 2009. The indicators are calculated based on the five global input-output matrices of the TiVA database. More details on the aggregation and specific country notes can be downloaded at http://www.oecd.org/sti/ind/input-outputtables.htm and http://oe.cd/gvc/.
  • Q
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
      选择数据集
      OECD has extracted monthly trade data from the UN Monthly Comtrade database, and aggregates the quarterly and annual frequencies by summing up the months. This may create discrepancies with annual trade figures as presented in International Trade by Commodity Statistics (ITCS). UN Monthly Comtrade (beta version) contains detailed merchandise trade data provided by countries (or areas) to the United Nations Statistics Division, Department of Economic and Social Affairs (UNSD/DESA). Values are expressed in United States dollars (USD) and refer to declared transaction values. All exports are valued f.o.b. (free on board) and imports are valued c.i.f. (including cost, insurance, freight), except the imports of Canada and Mexico which are valued f.o.b. Detailed country metadata (currency conversion rates, information in HS classifications and data publication dates) can be found from the metadata file at the UN Monthly Comtrade website under the heading Metadata.
  • S
    • 三月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 14 三月, 2019
      选择数据集
      Trade in services drives the exchange of ideas, know-how and technology. It helps firms cut costs, increase productivity, participate in global value chains and boost competitiveness. Consumers benefit from lower prices and greater choice. However, international trade in services is often impeded by trade and investment barriers and domestic regulations. The Service Trade Restrictions Index (STRI) helps identify which policy measures restrict trade. It provides policy makers and negotiators with information and measurement tools to open up international trade in services and negotiate international trade agreements. It can also help governments identify best practice and then focus their domestic reform efforts on priority sectors and measures. The STRI indices take the value from 0 to 1, where 0 is completely open and 1 is completely closed. They are calculated on the basis of information in the STRI database which reports regulation currently in force.
    • 十二月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Pallavi S
      访问日期: 03 十二月, 2018
      选择数据集
      Input-Output tables describe the sale and purchase relationships between producers and consumers within an economy. They can be produced by illustrating flows between the sales and purchases (final and intermediate) of industry outputs or by illustrating the sales and purchases (final and intermediate) of product outputs. The OECD Input-Output database is presented on the former basis, reflecting in part the collection mechanisms for many other data sources such as research and development Research and Development expenditure data, employment statistics, pollution data, energy consumption, which are in the main collected by enterprise or by establishment, and thus according to industry classifications.
    • 十二月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 03 十二月, 2018
      选择数据集
      Input-Output tables describe the sale and purchase relationships between producers and consumers within an economy. They can be produced by illustrating flows between the sales and purchases (final and intermediate) of industry outputs or by illustrating the sales and purchases (final and intermediate) of product outputs. The OECD Input-Output database is presented on the former basis, reflecting in part the collection mechanisms for many other data sources such as research and development Research and Development expenditure data, employment statistics, pollution data, energy consumption, which are in the main collected by enterprise or by establishment, and thus according to industry classifications.
  • T
    • 十二月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 03 十二月, 2018
      选择数据集
      This table presents export/import information by detailed activity sectors (ISIC Rev.4)
    • 十二月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 03 十二月, 2018
      选择数据集
      This dataset shows import and export values (in millions of UDS) using product classification at 2-digit level of CPA classification.
    • 十二月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 25 十二月, 2018
      选择数据集
      This dataset shows the number of exporters and importers and their associated trade values for a selected set of partner countries and zones, broken down by three economic sectors: industry, trade and repair and other sectors. Total values for the wide economy are also displayed.Recommended uses and limitations EU countries break down trade data into Intra- and extra- EU zones, whereas non EU countries report their Total trade. Trade values have been aggregated for EU countries and Total (Intra-EU plus Extra-EU) trade flows are displayed, whereas Intra and Extra-EU data expressed in term of number of enterprises cannot be summed up, because of possible double-counting (same enterprise can be trader in both intra- and extra- EU trade). Data have been collected in ISIC revision 3 from 2003 up to 2007 and in ISIC revision 4 as from reference year 2008. Time series are affected by this change in classification, and thus data are displayed into two separate databases.
    • 七月 2009
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 24 九月, 2014
      选择数据集
      The central issue of trade by enterprise characteristics is to try to classify trade operators according to enterprise characteristics and 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 are different in their ability to perform such a linking, and matching ratios (between business and trade registers) vary between countries, thus the degree of representativeness of the results varies between countries.
    • 十二月 2016
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 07 八月, 2017
      选择数据集
      The TiVA database contains a range of indicators measuring the value added content of international trade flows and final demand. The indicators are derived from the 2016 version of OECD's Inter-Country Input-Output (ICIO) Database.  The ICIO has been constructed from various national and international data sources all drawn together and balanced under constraints based on official (SNA93) National Accounts by economic activity and National Accounts main aggregates.  Underlying sources used are notably:  • National supply and use tables (SUTs)  • National and harmonised Input-Output Tables • Bilateral trade in goods by industry and end-use category (BTDIxE) and  • Bilateral trade in services.  Compared to the old versions of the TiVA database, this current version includes two more countries, Morocco and Peru. The data are presented for all years from 1995 to 2011. The industry breakdown remains the same. 
    • 十二月 2016
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 08 八月, 2017
      选择数据集
      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. See TiVA.  The Origin of value added in gross exportspresented 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 p.  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, see the document TiVA indicators definitions hereafter. Domestic value added origin is shown where source country p = 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 the main TiVA indicators database such as:  • Total gross exports by industry, EXGR (c,i): set source country p = World, source industry j = CTOTAL. • 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 = CTOTAL. • 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 = “C45T95: 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 jperspective is required.
    • 七月 2014
      来源: Organisation for Economic Co-operation and Development
      上传者: Pallavi S
      访问日期: 05 八月, 2014
      选择数据集
      In general, data comply with the UN recommandations defined in International Merchandise Trade Statistics: Concepts and Definitions, Revision 2 (IMTS, Rev.2). For exceptions and for definitions of statistical territories, please refer to country notes. Following the UN recommendations, the international merchandise trade statistics record all goods which add to or subtract from the stock of material resources of a country by entering (imports) or leaving (exports) its economic territory. Goods simply being transported through a country (goods in transit) or temporarily admitted or withdrawn (except for goods for inward or outward processing) do not add to or subtract from the stock of material resources of a country and are not included in the international merchandise trade statistics. Customs records should be the main source of the data; and the additional sources could be used where customs sources are not available. Goods should be included in statistics at the time when they enter or leave the economic territory of a country. In the case of customs-based data collection systems, the time of recording should be the date of lodgement of the customs declaration. Lists of goods to be included, to be recorded separately and to be excluded should be provided. Specific goods are to be excluded from detailed international merchandise trade statistics but recorded separately in order to derive totals of international merchandise trade for national accounts and balance of payments purposes. Trade system There are two trade systems in common use by which international merchandise trade statistics are compiled: general trade system and special trade system. The United Nations recommendations advise using the general trade system that provides a more comprehensive recording of external trade flows than does the special system. It also provides a better approximation of the change of ownership criterion used in the 1993 SNA and BPM5. General trade includes all goods that cross the national frontier including goods that are imported into and exported from custom-bonded warehouses and free zones. The general trade system is in use when the statistical territory of a country coincides with its economic territory so that imports include all goods entering the economic territory of a compiling country and exports include all goods leaving the economic territory of a compiling country. Special trade covers goods that cross the customs frontier plus goods that are imported into and exported from custom-bonded areas. The special trade system is in use when the statistical territory comprises only a particular part of the economic territory.
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
      选择数据集
      Values are expressed in United States dollars (USD) and refer to declared transaction values. Imports are reported c.i.f. and exports are reported f.o.b. with the exception of Australia, Canada, Mexico, Slovak Republic and United States where imports are reported f.o.b. United States exports are reported f.a.s. Data published are expressed as monthly averages. Quarterly and annual data are calculated as averages of monthly figures. The option chosen by OECD is to convert exchange rates for periods prior to entry into European Monetary Union (EMU), i.e. prior to 1999 for all members apart from Greece, which acceded in 2001, from the former national currency exchange rate using the appropriate irrevocable exchange rate. Such a conversion facilitates comparisons over time within a country and also preserves the historical evolution (i.e. growth rates). However, pre-EMU euro rates are notional units and are not always suitable to form area aggregates or for cross country comparisons. For further details, see The Statistics Brief Number 2, February 2002.