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International Monetary Fund. Statistics Dept.
In response to a request from the authorities and as part of the United Kingdom’s Department for International Development (DFID) Enhanced Data Dissemination Initiative (EDDI) 2 project, a Government Finance Statistics (GFS) mission visited Lusaka, Zambia, during November 19–30, 2018. This was the third mission to Zambia under the DFID EDDI2 project, following the March 2016 and November 2017 missions. The mission worked essentially with staff at the Zambia Central Statistical Office (CSO) Public Finance Unit (PFU), but also had meetings with staff from the Ministry of Finance’s Accountant General, Budget, Investment and Debt Management, and Economic Management departments.
International Monetary Fund. Statistics Dept.
A technical assistance (TA) mission was undertaken by the Real Sector Statistics Advisor in the Caribbean Regional Technical Assistance Centre (CARTAC) to St. Lucia during September 17–28, 2018, to provide advice to the Central Statistics Office (CSO) on compiling supply and use tables (SUT) for 2016. The 2006 base year for the GDP estimates is outdated and does not reflect the current structure of the economy. In addition, there is scope to improve the input data and methodology used in producing the GDP estimates and to implement the relevant System of National Accounts 2008 (2008 SNA) recommendations.
International Monetary Fund

Poverty Reduction Strategy Papers (PRSPs) are prepared by the member country in broad consultation with stakeholders and development partners. Despite strong economic performance in recent years compared with Sub-Saharan African and WAEMU countries, Mali’s average annual growth rate of 4.6 percent is below the target of 7 percent provided in the PRSP. At end-2009, the situation in the banking and financial system was characterized by an increase in the money supply, an increase in net foreign assets, an increase in credit to the economy, and a decline in credit to the government.

George J. Novak

This paper focuses on the subject of development and income distribution, and suggests a method whereby economic development can be skewed in favor of the poor. The paper underscores that improvements in the distribution of income can be achieved by applying shadow cost significantly below money cost to determine the social cost of employing members of low-income groups and to use the social consolidation strategy in the choice of technology in the physical construction of projects. The application of this method would result in the more extensive use of labor instead of capital equipment.