Skip to end of metadata
Go to start of metadata

 DISA 2013 home

UNECE wikis home


 

Search DISA 2013

Browse by:

Organization

 Other years:

 About DISA

The Database of International Statistical Activities (DISA) lists the activities of over 30 statistical organizations active in the UNECE region. Updated every year, DISA is a coherent catalogue of planned work in international statistics over the coming year.  
Creditor Reporting System (CRS) Aid Activity Database
 Purpose

• Provide Members of the Development Assistance Committee (DAC) and the international aid community a set of readily available basic data that enables analysis on where aid goes, what purposes it serves and what policies it aims to implement. The DAC uses the data for consideration of specific policy issues and for monitoring donors' compliance with various international recommendations in the field of development co-operation. Outside the DAC, the data is mainly used to analyse the sectoral and geographical breakdown of aid for selected years and donors or groups of donors.

Objectives and outputs

• Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications. Continue work on converging DAC and CRS datasets. Improve reporting and timeliness at an activity level.

• Since 2008 (reporting on 2007 flows) the CRS includes the Trade capacity Building Database (TCBDB) operated previously by WTO.

Databases
 

• Creditor Reporting System (CRS) Aid Activity Database

Main Developments for 2013

General aspects:

• No major changes.

 
Database on Country Programmable Aid and Forward Spending Survey (CPA-FSS database)
Purpose

• Provide members of the Development Assistance Committee (DAC) and the international aid community a set of readily of available statistics on country programmable aid (CPA) flows. This new measure of aid comes much closer to capturing the flows received and recorded in country aid management systems than measures of total aid (ODA – official development assistance). CPA is estimated on the basis of the standard DAC statistics (DAC and CRS) and defined through exclusion, by subtracting from total gross ODA aid that is: unpredictable by nature (humanitarian aid and debt relief); entails no cross-border flows (administrative costs, imputed student costs, promotion of development awareness, and research and refugees in donor countries); does not form part of co-operation agreements between governments (food aid and aid from local governments); or is not country programmable by the donor (core funding of NGOs). The database provides reference data to DAC and other stakeholders for the analysis of fragmentation and planned forward spending of aid.

• The database is also used to store and analyse the data collected in the annual DAC Survey on Indicative Forward Spending Plans (FSS) for the annual DAC Report on Aid Predictability.

Objectives and outputs

• To provide timely and comprehensive statistics on country programmable aid (CPA) for all countries and territories on the DAC List of ODA Recipients.

• To provide reference data for the annual Report of the Survey on Indicative Forward Spending Plans and for the Reports on Division of Labour and Multilateral Aid.

• To provide timely and comprehensive statistics on future aid flows based on the annual Survey on Indicative Forward Spending Plans.

Non-member countries involved in the activity:

• Russian Federation

Main Developments for 2013

General aspects:

• Further strengthening the methodology to derive CPA.

• Improved coverage and comprehensiveness of data collected in the annual Survey on Indicative Forward Spending Plans.

Official and Private Resource Flows from DAC Members to Developing Countries
Purpose

• The Development Assistance Committee (DAC) database provides comprehensive data on the volume, origin and types of aid and other resource flows to over 150 aid recipients. The data shows each aid recipient's receipts of official development assistance (ODA), other official flows and private flows from members of the DAC, multilateral agencies and other non-DAC donors.

Objectives and outputs

• To provide timely and comprehensive statistics of official and private flows to all countries and territories on the DAC list of ODA recipients. Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications.

• Update reporting guidance to maintain comparable statistics and improve reporting and comparability of statistics on the tying status of aid.

• Support work on changing patterns of development finance and the increasing role of private flows.

Databases

• Database on official and private resource flows from DAC Members to developing countries

Main Developments for 2013

General aspects:

• Continue with converging DAC data collections (CRS and DAC); converged directives for approval; further work on improving access and dissemination of data; continue sharing of data with developing countries, and continuing help from Secretariat to members in improving statistical quality and timeliness.

• Continue work on non-ODA flows which examines types of development financing other than ODA (non-concessional official loans inc. export credits, private flows inc. remittances, guarantee schemes). This analysis will focus on both the volume and developmental relevance of these flows.

 

• DAC interest: DAC members afforded a high priority to this work during discussions of the PWB for 2011-2012, consequently (and based on the progress of work).

PARIS21 Partnership in Statistics for Development in the 21st Century
Purpose

• PARIS21 is a partnership of national, regional and international statisticians, policy makers, analysts, development professionals and other users and producers of statistics, including civil society. PARIS21's goal is to help build statistical capacities in developing countries.

Objectives and outputs

• PARIS21 activities focus on assisting all low-income and lower middle income countries in the design, implementation, and monitoring of National Strategies for the Development of Statistics (NSDS). PARIS21 carries out this work through (i) facilitating the co-ordination of stakeholders to better address an evolving agenda, (ii) advocating for increased involvement of national stakeholders in statistical development and enhancing the status of statistics in major international initiatives, (iii) promoting better-quality and effectively implemented NSDSs, and (iv) stimulating increased demand for and better use of data. Co-ordination activities include the annual Partner Report on Support to Statistics, which provides an inventory of global support to statistical development, and the creation of national (country-donor) partnerships to discuss statistical issues. Advocacy activities have included the production of national booklets promoting the importance of statistics in poverty reduction decision-making processes.

Non-member countries involved in the activity:

• Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia Former, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela

Main Developments for 2013

General aspects:

• Throughout 2013, PARIS21 and its partners will update and enrich the NSDS guidelines to include best practices collected over the past several years. PARIS21 will also integrate the activities of the Busan Action Plan for Statistics into its regular work programme, which will include developing best practices in reconciling official statistical systems with the innovations of Big Data.

Balance of Payments

 

Purpose

 

To collect and publish timely, accurate and internationally comparable Balance of Payments statistics to meet OECD user needs and in support of identified data needs.

Objectives and outputs

To provide timely summary quarterly statistics on Balance of Payments. To improve the efficiency of data collection, timeliness, international comparability and quality of the published balance of payments data on the MEI database. To contribute as appropriate to the OECD Quarterly Trade Press Release. To contribute to methodological work on Balance of Payments. To improve information on remittance an income flows to meet user needs. Integrate Enhanced Engagement countries. Create new dataset according to new BPM6 in order to accommodate countries having already moved to the new standard.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia Former, South Africa

Databases

 

Balance of Payments

MEI_BOP

Main Developments for 2013

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Data collection:

Improve the efficiency and timeliness of data collection. Find new data for non member countries.

 

Benchmark Definition of Foreign Direct Investment
Purpose

To set standards on how foreign direct investment data should be compiled according to international standards. Internationally comparable data, based on these concepts, makes it possible to measure the degree of economic integration and competitiveness of markets.

Objectives and outputs

Following the Council recommendation of 2008:

to continue work on Research Agenda;

• to promote exchange of best practices and information between countries to facilitate implementation of BMD4 standards to improve FDI statistics;

• to establish a communication strategy for revised standards;

• to promote BMD4 recommendations for Enhanced Engagement countries

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa

Main Developments for 2013

General aspects:

Establishing a clear communications strategy for data users on revised FDI definitions and concepts;

Implementing an electronic version of the recommendations and practical examples, etc.

Providing regional and other assistance as appropriate to national compilers.

Implementing a new database.

Establishing new data transmission facilities using SDMX

 

Foreign Direct Investment Statistics and SDMX
Purpose

The purpose of this activity is to compile and disseminate regularly reliable and up-to-date Foreign Direct Investment (FDI) statistics which are essential for a meaningful interpretation of investment trends for the purpose of policy analysis and decision. FDI statistics provide a reliable and comprehensive source of information to OECD governments, potential investors and the public at large. They also provide the basis for periodical analyses of direct investment trends and of policies towards international direct investment in OECD and non-OECD countries.

Objectives and outputs

FDI statistical series provide detailed information on FDI flows and stocks to and from OECD countries. The information is based on a standard presentation designed according to internationally agreed standards (joint OECD-EUROSTAT questionnaire). Comparative tables and charts by geographical and sectoral breakdowns for direct investment flows and stocks complement the information included for individual countries. Statistics are used regularly for trends analysis, to monitor foreign investment activities, country reviews, etc.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, World

Databases

Foreign Direct Investment

Main Developments for 2013

General aspects:

Creation of a new database

Implementation of SDMX

Pilot tests

 

Data collection:

 

Data collection on the basis of the revised questionnaires and using the electronic questionnaire where countries are not applying GESMES.

Foreign Direct Investment Trends: OECD Indicators
Purpose

A new publication providing at a glance type indicators accompanied by short description of trends and definitions as well as country profiles for 34 OECD countries.

Objectives and outputs

To provide an up to date analytical tool for informed policy making.

Non-member countries involved in the activity:

Argentina, Brazil, China, Hong Kong, India, Russian Federation, Slovenia Former, South Africa

Databases

Foreign Direct Investment

Main Developments for 2013

Data collection:

Data collection on the basis of the revised questionnaires and using the electronic questionnaire where countries are not applying GESMES.

Survey of Implementation of Methodological Standards for Direct Investment- 2nd edition (SIMSDI-2)
Purpose

The primary purpose of SIMSDI, in accordance with the OECD Council recommendation of 22 May 2008 (and of 1995), is to regularly review national practices applied by OECD and non-OECD countries to compile foreign direct investment (FDI) statistics and to provide an objective benchmarking tool to assess the extent of the implementation of international standards recommended by the OECD and the IMF. SIMSDI also provides comprehensive detailed metadata for the users of FDI statistics. SIMSDI is the assessment tool of the Benchmark Definition of Foreign Direct Investment.

Objectives and outputs

SIMSDI, based on a standard questionnaire, allows compiling comprehensive and detailed metadata individually for all OECD and a large number of non-OECD countries. Standard information allows bilateral comparisons and provides, to a large extent, the underlying differences that explain the cross-country discrepancies in FDI statistics. SIMSDI allows monitoring the methodological improvements over time of the countries included in the survey. SIMSDI also provides valuable information to OECD for the revision of international methodological standards, namely on the difficulties experienced by national compilers when implementing some of the recommendations or the relevance/irrelevance of some guidelines as economic factors may change over time. SIMSDI results are analysed in "Foreign Direct Investment Statistics: How countries measure FDI" (OECD and IMF countries) and in How South Eastern Countries Measure FDI Statistics".

The SIMSDI questionnaire was revised to incorporate the revisions of the Benchmark Definition of Foreign Direct Investment, 4th edition.

Non-member countries involved in the activity:

 Russian Federation

Main Developments for 2013

General aspects:

Complete the creation and implementation of the SIMSDI database in a new IT environment. Incorporate data capturing features which can be accessed by reporting countries.

 

International Trade in Goods
Purpose

To produce consistent and timely international trade data for OECD member countries and ensure methodological soundness and comparability of international trade data. To conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collects and maintains two databases for analytical use: (a) monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories; and (b) detailed annual data of exports and imports by commodities and by partner countries using three classifications (SITC, HS, ISIC).

Full implementation of the OECD-UNSD data sharing agreement covering all OECD member countries. The OECD meeting of experts in international trade will continue to stimulate the exchange of views and research on methodological issues.

OECD continues to participate in and contribute to the Inter-Agency Merchandise Trade Task Force and manages, and moderates together with WTO, the EDG "Tradenet" on methodological and co-ordination issues affecting various national and international organisations.

Non-member countries involved in the activity:

Brazil, China, Chinese Taipei, Russian Federation, Slovenia Former

Databases

International trade by Commodity Statistics

Monthly Statistics of International Trade

Main Developments for 2013

General aspects:

HS 2012 and SITC rev.4 will be implemented in COPRA and OECD.STAT in cooperation with UNSD.

OECD will participate to the TF which is setting up the merchandise trade DSD for SDMX.

In the context of the 2013-2014 biennium project of implementation of Unit value Indexes to the annual trade database, research will be continued on an outlier detection method that can fit with the data provided with the different members of the OECD

Data collection:

Concurrent use of the ITCS OECD-UNSD common data collection and processing system and the OECD trade ITCS in OECD.Stat. Full addition of ISIC classification.

International Trade in Services
Purpose

To provide detailed, relevant and internationally comparable data for trade policy and economic analysis. The information needs of international trade negotiations including the General Agreement on Trade in Services and the observed increase in internationalisation of services production are driving new developments.

Objectives and outputs

An annual joint effort publication with Eurostat and database: "OECD Statistics on International Trade in Services - Detailed tables by category of service". This covers the 34 member countries. Data are based on the concepts of the IMF's 5th Balance of Payments Manual (except for Australia that already moved to BPM6) and are broken down according to the detailed EBOPS Classification of Trade in Services with the exception of Australia which has started compiling information according to BPM6. The publication "OECD Statistics on International Trade in Services - Detailed Tables by Partner Country" provides bilateral service trade flows for 33 member countries, Hong Kong SAR and Russian Federation.

Coordinate the work of the Interagency Task Force on Statistics of International Trade in Services. Contribute to the Trade in services compilation Guide. Contribute to organisation of the WP on trade in goods and trade in services statistics.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia Former, South Africa

Databases

International trade in services by category of service (TIS)

OECD Statistics on International Trade in Services by Service Category and by Partner Country

Main Developments for 2013

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be finalised in coordination with OECD/DAF and other International Organisations.

 

Facilitate to the extent possible links between the classifications EBOPS and ISIC.

 

Continue Implementing EBOPS 2010 in Statworks and upload countries that have adopted the new standards.

 

Improve the timeliness, with rolling updates, and detail of published data. Monitor progress in the implementation of MSITS recommendations.

 

Contribute to OECD analytical work and in particular work closely with TAD and STI on data needs for the Services Trade Restrictiveness Index. Improve estimates of world trade flows of services.

 

Cooperate with Eurostat to collect and make available as far as possible partner country data on remittances.

 

Develop cooperation with UNSD and other agencies on data sharing in trade in services.

Update merged Trade in Services by category and by partner country in order which saves resources to be allocated to the development of databases and metadata related to the new standards.

 

Cooperate with WTO to elaborate the annual World Matrix of bilateral services flows.

 

Data collection:

Pursue rolling update of trade in services by partner country data as data become available. Countries that are sent an excel questionnaire will be asked to fill it in. A second best would now be for them to provide us with their data in an SDMX format.

 

Monthly International Trade

 

Purpose

 

To produce consistent and timely international trade data for OECD member countries, ensure methodological soundness and comparability of international trade data, conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

 

Objectives and outputs

 

Collect data and maintain database for analytical use: monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories. Continuous and close co-operation with key users at OECD. Updating cycles optimised to respond to needs of trade press release. Online availability of OECD’s detailed international trade data. OECD continues to actively participate and contribute to the International Trade Task Force (Inter-Agency TF)

 

Non-member countries involved in the activity:

 

Slovenia Former

 

Databases

 

Monthly Statistics of International Trade (MSIT)

 

Main Developments for 2013

 

General aspects:

 

No major changes.

 

Services Trade Restrictiveness Index

 

Purpose

 

The STRI database will be a unique resource providing internationally comparable current information on regulatory policies affecting trade in services.

 

Objectives and outputs

 

The main achievements for 2012 are:

 

• first indicators for the pilot sectors finalised

 

data collection for the new sectors has started

 

Non-member countries involved in the activity:

 

Albania, Brazil, China, Croatia, India, Indonesia, Macedonia, Moldova, Republic of Serbia, Russian Federation, Serbia and Montenegro, Slovenia Former, South Africa

 

Databases

 

Not yet available.

 

Main Developments for 2013

 

General aspects:

 

The regulatory database for the pilot sectors has been finalised during the first half of 2012. A first version of the interface developed by the OECD for dissemination of qualitative information is under development. The coverage of the new sectors has already started.

 

Data collection:

New sectors will be included and double the number of sectors covered.