135 resultados para humanitarian aid


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This paper reports an empirical study of the factors affecting burden sharing among OECD's 22 DAC members in 'bankrolling' the multilateral aid agencies. Annual data over 1970–2000, pooled across the donor countries, form the basis for the empirical estimation of each donor's share in the ODA aid receipts for each multilateral agency. Our findings suggest the existence of reverse exploitation, i.e., the financial burden of the agencies is disproportionally carried by the smaller donors. The study also finds that factors such as inherent donor generosity, donor concern for domestic egalitarianism, and the extent to which donors are pro-poor in their bilateral aid policies have an impact on their readiness to support multilateral agencies financially. Size of the donor government and its budgetary balance positively influence burden sharing of contributions to other multilateral agencies. But neither the phase of economic cycle nor the rate of economic growth affects the burden-sharing responsibility of donors. It was also observed that contributions by EU members to the EC do not appear to crowd-out their contributions to other multilateral aid agencies and that right-wing donor governments are generally more parsimonious with regard to financial assistance to multilateral aid agencies. The preferred alternative, particularly among EU member countries, appears to be the EC.

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The first section looks at the implications of conflict for aid effectiveness and selectivity. We argue that, while aid is generally effective in promoting growth and by implication reducing poverty, it is more effective in promoting growth in post-conflict countries. We then consider the implications of these findings for donor selectivity models and for assessment of donor performance in allocating development aid among recipient countries. We argue that, while further research on aid effectiveness in post-conflict scenarios is needed, existing selectivity models should be augmented with, inter alia, post-conflict variables, and donors should be evaluated on the basis, inter alia, of the share of their aid budgets allocated to countries experiencing post-conflict episodes. We also argue for aid delivered in the form of projects to countries with weak institutions in early post-conflict years. The second section focuses on policies for donors operating in conflict-affected countries. We set out five of the most important principles: (1) focus on broad-based recovery from war; (2) to achieve a broad-based recovery, get involved before the conflict ends; (3) focus on poverty, but avoid ‘wish lists’; (4) help to reduce insecurity so aid can contribute more effectively to growth and poverty reduction; and (5) in economic reform, focus on improving public expenditure management and revenue mobilisation. The third section concludes by emphasising the fact that there is no hard or fast dividing line between ‘war’ and ‘peace’ and that it may take many years for a society to become truly ‘post’-conflict’. Donors, therefore, need to prepare for the long haul.

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This article focuses on aid, debt relief and new sources of finance for meeting the Millennium Development Goals (MDGs). It was said that MDGs provide a clear set of objectives for mobilizing the international development community, especially in the area of development finance. The call for increased aid as well as for more debt relief in the creation of new sources of development finance has increased since the United Nations Financing for Development Summit and the subsequent report of the panel chaired by then President Ernesto Zedillo of Mexico on development finance. The goal of reducing the proportion of people living in extreme poverty by 2015 cannot be achieved in Sub-Saharan Africa (SSA). Such optimistic forecast suggests that MDG income poverty target will not be achieved in SSA until 2147.

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This paper models the inter-temporal allocation of foreign development aid to Papua New Guinea (PNG). A formal theoretical model of aid allocation is developed, in which aid to any one country is determined jointly with aid to all other recipient countries. This is recognized in the econometric application of this model, which involves simultaneously modelling aid to a number of countries in addition to PNG. Results based on data for the period 1969–99 indicate that both recipient need and donor interest variables determine the amount of foreign aid to PNG and most other countries under consideration.

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This paper models the allocation of bilateral foreign development aid to developing countries. A simple theoretical framework is developed, in which aid is treated as a private good of a donor country bureaucratic group responsible for bilateral aid allocation. This model is applied to time series data for ten principal recipients of bilateral official development assistance. Features of this application are that it caters for the joint determination of aid allocations and for donor allocation behavior to differ among individual recipient countries. Results indicate that both recipient need and donor interest variables determine the amount of foreign aid to developing countries, and that donor allocation behavior often differs markedly among recipients.

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Aid flows to small island developing states (SIDS) are enormous by international standards when compared to the size of their economies. Yet these countries face many severe economic challenges and many have experienced declines in the living standards of their citizens. This paper looks at the impact of aid on what is treated as a necessary precondition for improvements in living standards, typically defined. Specifically, it examines the impact of foreign aid on real per capita income growth in SIDS by econometrically analysing cross-country data for the period 1980 to 2004. A variety of econometric techniques and measures of aid are used. Results suggest that foreign aid is effective at spurring economic growth but with diminishing returns.

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This paper examines the impact of foreign aid on public sector fiscal behaviour in Co^te d’Ivoire. A special interest is the relationship between aid, debt servicing and debt, given that Coˆte d’Ivoire is a highly indebted country. The theoretical model employed differs from those of previous studies by highlighting the interaction between debt servicing and the other fiscal variables, providing information on aid and fiscal behaviour that its predecessors cannot. This model is estimated using 1975–99 time series data. Two key findings emerge: (i) the majority of aid inflows are allocated to expenditure on debt servicing; and (ii) these inflows are associated with increases in the level of public debt.

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This book addresses a number of gaps in knowledge on aid allocation and effectiveness, and provides many new and important analytical insights into aid. Among the topics covered are the interface between aid allocation and perceptions of aid effectiveness, the inter-recipient concentration of aid from non-govenment organizations, the year-on-year volatility of aid, impacts of aid on public sector fistcal aggregates, and evaluation of the country-level impacts of aid. The book is an essential companion for professionals engaged in aid policy reforms and also for scholars in the areas of development economics, international finance and economics.

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While the welfare effect of foreign aid has been extensively analyzed, the impact on the distribution of income has received less attention. At the same time, there has been recent work on tourism where it is complementary to aid in improving welfare.By combining these two strands, this paper concentrates on wage inequality in developing countries.We find that an increase in aid in the form of tied aid can lower the relative price of nontraded goods. The rent extracted from tourists declines, reducing welfare of domestic residents. In addition, the fall in the nontradable price can widen the wage inequality between skilled and unskilled workers.Thus, increased foreign aid may have detrimental effects on national welfare and the distribution of income. Rising wage inequality is confirmed by numerical simulations.