Liberia : Strategic Policy Options for Medium Term Growth and Development
This paper explores Liberia's policy options in support of the development of a Medium-Term Growth and Development Strategy (MTGDS) for 2013-2017 and its national vision, Liberia Rising 2030. At issue is the mismatch between available fiscal s...
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Format: | Other Poverty Study |
Language: | English en_US |
Published: |
Washington, DC
2013
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Online Access: | http://documents.worldbank.org/curated/en/2012/03/16575294/liberia-strategic-policy-options-medium-term-growth-development http://hdl.handle.net/10986/12608 |
Summary: | This paper explores Liberia's
policy options in support of the development of a
Medium-Term Growth and Development Strategy (MTGDS) for
2013-2017 and its national vision, Liberia Rising 2030. At
issue is the mismatch between available fiscal space and the
enormous development needs that the government must resolve
as it prepares to transform the economy into a middle-income
country by 2040. This dilemma calls for the new
administration to make trade-offs among various priorities
if it is to achieve its aspirations. For this purpose, a
Liberian version of a single-country Computable General
Equilibrium (CGE) model, MAMS (Maquette for Millennium
Development Goal, or MDG simulations), was developed and
informed by analytical studies as well as sector strategies
prepared in support of Liberia's MTGDS. This paper
examines the likely impacts on macroeconomic and social
indicators of alternate strategic policy scenarios. A base
scenario (designed to represent a central case for the
evolution of Liberia's economy up to 2030) was first
established, and thereafter a set of different assumptions
were introduced for the mining sector, government spending
on infrastructure and human development, and foreign
borrowing. The paper is organized into five sections
including this introduction. Section two presents the basic
features of MAMS. The simulation analysis, which is the
focus of the paper, is covered in the next two sections: the
base scenario in section three and a set of alternative
scenarios, which are contrasted with the base scenario, in
section four. The final section summarizes the main findings
and conclusion. Appendices one and two include a set of
figures with selected simulation results and a brief
discussion of the Liberian database for MAMS, respectively. |
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