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International Monetary Fund. Statistics Dept.
International Monetary Fund. Statistics Dept.
This technical assistance (TA) mission on Government Finance Statistics was conducted during April 19– May 6, 2022. The main purpose of the mission was to review the progress made by the authorities in implementing previous TA recommendations and provide further support to improve fiscal data compilation and dissemination in line with international standards set out in the Government Finance Statistics Manual 2014.
Mr. Serhan Cevik
Global warming is the most significant threat to ecosystems and people’s health and living standards, especially in small island states in the Caribbean and elsewhere. This paper contributes to the debate by analyzing different options to scale up climate change mitigation and adaptation. In particular, the empirical analysis indicates that increasing energy efficiency and reducing the use of fossil fuel in electricity generation could lead to a significant reduction in carbon emissions, while investing in physical and financial resilience would yield long-run benefits. From a risk-reward perspective, the advantages of reducing the risks associated with climate change and the health benefits from higher environmental quality clearly outweigh the potential cost of climate change mitigation and adaptation in the short run. The additional revenue generated by environmental taxes could be used to compensate the most vulnerable households, building a multilayered safety net, and strengthening structural resilience.
International Monetary Fund. Statistics Dept.
International Monetary Fund. Statistics Dept.
At the request of the Suriname authorities, a remote technical assistance (TA) mission took place during December 6–17, 2021. The mission was conducted in coordination with the IMF’s Western Hemisphere Department. The main objective of the mission was to assist the Ministry of Finance and Planning (MFP) and the Central Bank of Suriname (CBS) to improve the quality of the Government Finance Statistics (GFS) in view of the IMF program. The main tasks were to (i) conduct a diagnostic assessment of the current GFS and public debt compilation process,(ii) explain and reduce statistical discrepancies, (iii) analyze data on arrears and reassess their treatment in GFS, (iv) review the integration of stocks and flows of the gross debt; and (v) update the public sector institutional table, and (vi) deliver a workshop on GFSM 2014 framework and (PSDS).