Result 1: Serbian Statistical Office ICT system consolidated, optimized and standardized to better perform functions of exchange and dissemination of statistical data and metadata;
Result 2: Institutional capacity, system and sources for the production of National Accounts improved and supply and use tables compiled;
Result 3: Improved statistical production for a set of Sustainable Development Indicators for monitoring the quality of life, social development, environmental protection and long-term macroeconomic policy-making.
The Republic of Serbia, supported by the EU, places significant importance in improving the statistical system to bring it up to international standards. Further development of official statistics is directly connected with the process of EU accession, with the number of requests for different statistical indicators growing during the negotiations on stabilization and accession to the EU, as well as for monitoring the indicators that refer to economic criteria for membership and negotiations in the process of EU accession. This project will help the Statistical Office of the Republic of Serbia (SORS) to adopt more modern methodologies and adequate mechanisms, recognized and accepted by Eurostat, as well as IMF, OECD and other relevant international organizations and institutions. In order to respond to the challenges of complying with the European Statistical System, this project will help SORS upgrading its ICT system, improvement of the system of producing National Accounts (NA) and develop a set of Sustainable Development Indicators (SDIs).
Harmonized methodologies, standards and good practices applied for the production of a reliable statistical basis necessary for Serbian social and economic system in view of the EU accession, and relevant statistics and indicators are available for use as basis for public policies in all key areas.
OECD, Eurostat and EFTA Regional projects on Non Observed Economy aimed at achieving exhaustiveness in NA
Swedish Development Agency (SIDA) project “Partnership in Statistics”