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International Monetary Fund. Statistics Dept.
This paper presents Lao People’s Democratic Republic’s Technical Assistance report on government finance statistics (GFS) mission. There has been a progress on a gradual basis in the timeliness of GFS compilation and dissemination to the IMF due to an improvement in coordination between the Fiscal Policy and Law Department and data providers on the provision of source data, but these data are still not reconciled in a more regular and timelier basis. Monthly budget execution data which is used for GFS compilation, such as other allowances and subsidies in expenditure in particular, are aggregated and prepared according to source data from the data providers. The Annual budget for FY2022 including fiscal package including fiscal measures for coronavirus disease 2019 (COVID-19) pandemic response was submitted to the National Assembly in Nov/Dec 2021. The report recommends to coordinate with relevant departments including the Budget Department in the reporting system and/or the Inter-ministerial Committee to collect data for COVID-19 related spending for tracing and monitoring the spending.
Cristian Alonso and Mr. Joey Kilpatrick
While a carbon tax is widely acknowledged as an efficient policy to mitigate climate change, adoption has lagged. Part of the challenge resides in the distributional implications of a carbon tax and a belief that it tends to be regressive. Even when not regressive, poor households could be hurt by a carbon tax, particularly in countries that rely heavily on carbon-intensive energy sources. Using household surveys, we study how a carbon tax may affect households in the Asia Pacific region, the main source of CO2 emissions. We document a wide range of country-specific policies that could be implemented to compensate households, reduce inequality, and build support for adoption.
Yasmin Alem and Jacinta Bernadette Shirakawa
Based on internal data, this paper finds that the capacity development program of the IMF’s Statistics Department has prioritized technical assistance and training to fragile and conflict-affected states. These interventions have yielded only slightly weaker results in fragile states than in other states. However, capacity development is constantly needed to make up for the dissipation of progress resulting from insufficient resources that fragile and conflict-affected states allocate to the statistical function, inadequate inter-agency coordination, and the pervasive impact of shocks exogenous to the statistical system. Greater coordination with other capacity development providers and within the IMF can help partially overcome low absorptive capacity in fragile states. Statistical capacity development is more effective when it is tailored to countries’ level of fragility.