Aid and growth in small island developing states

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.

Aid, debt burden and government fiscal behaviour in Côte d'Ivoire

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.

Development aid : a fresh look

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.

Foreign aid, wage inequality and welfare for a small open economy with tourism

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.

Comparison of two modes of delivery of first aid training

This study found that first aid competencies of participants assessed three months after standard two-day, classroom-based first aid courses, were similar to those assessed three months after flexible learning courses in which participants undertook home study using a text and on-line theory questionnaire, followed by a day of classroom training.

Comparison of two modes of delivery of first aid training including basic life support

Aims: Flexible-learning first aid courses are increasingly common due to reduced classroom contact time. This study compared retention of first aid knowledge and basic life support (BLS) skills three months after a two-day, classroom-based first aid course (STD) to one utilizing on-line theory learning at home followed by one day of classroom training (FLEX).
Methods: In this prospective randomized controlled trial, 256 participants with internet access and no first aid related training for at least five years were randomly allocated to a STD or FLEX course. Assessment was conducted immediately after training and again three months later. Each participant was allocated a theory and a BLS score, which were summed and averaged to create an equally-weighted ‘combined score’
of first aid knowledge and skills.
Results: There was no significant difference in theory scores between the STD and FLEX groups immediately after training and after three months. STD participants had significantly higher BLS scores immediately after training (p = 0.001) and three months later (p = 0.046). Males had significantly higher BLS scores after training (p < 0.001), but not three months later (p = 0.02). Participants older than 46 years had significantly lower BLS scores than younger participants (p < 0.001). There was no significant difference in combined scores between the STD and FLEX groups or between genders, education or age groups either immediately after training or three months later.
Conclusion: After replacing one day of classroom-based training with on-line theory training, there was no significant difference in the first aid competencies of the study population, as measured by an equallyweighted
combined score of basic life support and first aid theory.

A framework for mapping vegetation over broad spatial extents : a technique to aid land management across jurisdictional boundaries

Mismatches in boundaries between natural ecosystems and land governance units often complicate an ecosystem approach to management and conservation. For example, information used to guide management, such as vegetation maps, may not be available or consistent across entire ecosystems. This study was undertaken within a single biogeographic region (the Murray Mallee) spanning three Australian states. Existing vegetation maps could not be used as vegetation classifications differed between states. Our aim was to describe and map ‘tree mallee’ vegetation consistently across a 104 000km2 area of this region. Hierarchical cluster analyses, incorporating floristic data from 713 sites, were employed to identify distinct vegetation types. Neural network classification models were used to map these vegetation types across the region, with additional data from 634 validation sites providing a measure of map accuracy. Four distinct vegetation types were recognised: Triodia Mallee, Heathy Mallee, Chenopod Mallee and Shrubby Mallee. Neural network models predicted the occurrence of three of them with 79% accuracy. Validation results identified that map accuracy was 67% (kappa = 0.42) when using independent data. The framework employed provides a simple approach to describing and mapping vegetation consistently across broad spatial extents. Specific outcomes include: (1) a system of vegetation classification suitable for use across this biogeographic region; (2) a consistent vegetationmapto inform land-use planning and biodiversity management at local and regional scales; and (3) a quantification of map accuracy using independent data. This approach is applicable to other regions facing similar challenges associated with integrating vegetation data across jurisdictional boundaries.