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.
Johanna Tiedemann, Veronica Piatkov, Dinar Prihardini, Juan Carlos Benitez, and Ms. Aleksandra Zdzienicka
Small Developing States (SDS) face substantial challenges in achieving sustainable development. Many of these challenges relate to the small size and limited diversification of their economies. SDS are also among the most vulnerable countries to the impact of climate change and natural disasters. Meeting SDS sustainable development goals goes hand-in-hand with building their climate resilience. But the additional costs to meet development and resilience objectives are substantial and difficult to finance. This work adapts the IMF SDG Costing methodology to capture the unique characteristics and challenges of climate-vulnerable SDS. It also zooms into financing options, estimating domestic tax potential and discussing the possibility of accessing ‘climate funds.’
This paper reviews the significant macro-fiscal challenges posed by climate change in Djibouti and the costs of mitigation and adaptation policies. The paper concludes that Djibouti is susceptible to climate change and related costs are potentially large. Investing now in adaptation and mitigation has large benefits in terms of reducing the related costs in the future. Reforms to generate the fiscal space are therefore needed and investment for mitigation and adaptation to climate change should be built into the long-term fiscal projections. Finally, concerted international efforts and stepping up regional cooperation could help moderate climate-related macro-fiscal risks.
The paper suggests an operationally usable framework for the evaluation of growth inclusiveness—the inclusive growth framework (IGF). Based on the data on growth, poverty, and inequality, the framework allows for the quantitative assessment of growth inclusiveness. The assessment relies on the decomposition of the change in poverty into growth, distribution, and decile effects, which can be calculated using the Distributive Analysis Stata Package (DASP). Availability of at least two household surveys is the main precondition for the use of the IGF. The application of the IGF is illustrated with two country cases of Senegal and Djibouti.
The paper examines the poverty-reducing and distributional characteristics of Djibouti’s economic growth, and discusses policies that might help make growth more inclusive. It covers the period between 2002 and 2013, for which comparable household surveys are available. The main findings are that while in the past decade the overall level of poverty in Djibouti declined, there have been no clear signs of improvements in either equality or growth inclusiveness. Growth has not been inclusive and benefitted mainly those in the upper part of the income distribution. These conclusions should be treated as indicative. Progress in poverty reduction and inclusiveness would require not only sustained high growth but also the creation of opportunities in sectors with high earning potential for the poor. Better targeted social policies and more attention to the regional distribution of spending would also help reduce poverty and improve inclusiveness.