The SCGEI (South Caucasus Gender Equality Index) provides policy-makers, independent researchers and the general public with a unique evidence-based tool to inform policy actions, an objective way of measuring gender inequality, and an inclusive platform to initiate dialogue and further analysis of the underlying issues and potential solutions.

This paper is the first to create a comprehensive mapping of the Global and Regional Value Chain participation for Georgia and other CAREC region countries using the Eora Multi-Regional Input-Output Model (MRIO). The paper was written with support from the CAREC Think Tank Network Research Grant.

Results of the analyses are expected to contribute to the assessment of changes in trade patterns between Georgia and CAREC countries due to upcoming EU food safety regulations and standards as well as potential costs associated with those restrictions for both parties.

The unique cross-country study compares interest rates for a set of retail credit products in Georgia and select transition economies. The results suggest that the cost of credit in Georgia is lower than in the CIS countries which have been covered by the survey (namely, Kazakhstan, Russia, Ukraine and in many cases Armenia) while it’s somewhat higher compared to a cohort of Central and Eastern European Countries (CEE) - this is true especially for local currency loans.

South Caucasus Trade Study to identify a number of areas focusing on three thematic components: (i) Trade, export, investment, and private sector development measures, (ii) Border management, (iii) New developments in regional integration.

Project aims to study the best international practices of food security data collection mechanisms and map and analyze the existing mechanisms in Armenia, Azerbaijan and Georgia in terms of food security data collection. ISET-PI team is expected to compare national data collection mechanisms with international practices, identify key gaps and challenges in measuring FS and provide specific recommendations for FS data collection in three countries.