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.

Achieving growth in the Pacific islands : an introduction

The Small Island Developing States (SIDS)1 in the Pacific, spread out over an area of 30 million square kilometres of ocean, and home to over 9 million people, face a complex and unique set of development challenges. As small, highly open economies they are particularly susceptible to external shocks, including fluctuations in import prices and export earnings in particular. Remoteness from major ports and export markets, low levels of connectivity with the outside world and susceptibility to natural hazards further complicate matters and have resulted in the Pacific islands being amongst the most vulnerable economies in the world. In spite of their increasing integration into global markets, most face further challenges owing to very limited absorptive capacities, limited resources, inadequate technology, lack of infrastructure and poor economic management and institutional capabilities. As a consequence, economic growth and related outcomes in most remain heavily reliant on external resources, typically including at least one of aid, migrant remittances, and foreign direct investment (FDI) (AusAID 2008 and McGillivray et al. 2008). The particular constraints and growth challenges of Pacific SIDS are too often overlooked in the development research literature. Moreover, the policy debate on how to promote and achieve growth in the Pacific islands can benefit from a deeper understanding of the nature and consequences of these often unique, combination of constraints. This Focus is devoted to development challenges facing these islands, specifically relating to the achievement of economic growth, and draws on five papers that were presented or tabled at the World Institute for Development Economics Research (WIDER) ‘Fragility and Development’ research project meeting held in Fiji in December 2006.

Vulnerability, trade, financial flows and state failure in small island developing states

Small Island Developing States (SIDS) are very different to other developing countries. Relative to GDP they have the highest levels of foreign trade and aid receipts of all developing countries. Remittances from abroad are a far more important source of income for SIDS, and some depend very heavily on export revenues. The quality of governance varies tremendously among SIDS, they are over-represented among countries classified as fragile states and many are prone to state failure. These and other factors combine to make SIDS highly vulnerable to external economic shocks. Achieving development in SIDS is as a consequence an especially complex task that requires an understanding of the roles played by aid, trade, remittances and governance in these countries. This paper looks at these issues, along with providing various stylised facts about SIDS. In so doing it serves as a background and broad contextual setting for the papers that follow in this Special Issue on 'Fragility and Development in Small Island Developing States'.

Further applications of doppler radar for non-contact respiratory assessment

This paper further investigates the use of Doppler radar for detecting and identifying certain human respiratory characteristics from observed frequency and phase modulations. Specifically, we show how breathing frequencies can be determined from the demodulated signal leading to identifying abnormalities of breathing patterns using signal derivatives, optimal filtering and standard statistical measures. Specifically, we report results on a robust method for distinguishing cessation of the normal breathing cycle. The proposed approach can have potential application in the management of sudden infant death syndrome(SIDS) and sleep apnea.

Malware detection and prevention system based on multi-stage rules

The continuously rising Internet attacks pose severe challenges to develop an effective Intrusion Detection System (IDS) to detect known and unknown malicious attack. In order to address the problem of detecting known, unknown attacks and identify an attack grouped, the authors provide a new multi stage rules for detecting anomalies in multi-stage rules. The authors used the RIPPER for rule generation, which is capable to create rule sets more quickly and can determine the attack types with smaller numbers of rules. These rules would be efficient to apply for Signature Intrusion Detection System (SIDS) and Anomaly Intrusion Detection System (AIDS).

Remittances and economic growth: larger impacts in smaller countries?

This paper examines the impact of remittances on economic growth in Small Island Developing States (SIDS). Results from variants of an empirical model suggest that while, on average, there is at best no association between remittances and growth in developing countries, there is a positive association between these variables in SIDS. This finding holds for SIDS in sub-Saharan Africa and the Pacific but not for those in Latin America and the Caribbean. Relationships between remittances, economic volatility, and household labour supply are offered as reasons for these findings.

Noncontact detection and analysis of respiratory function using microwave Doppler Radar

Real-time respiratory measurement with Doppler Radar has an important advantage in the monitoring of certain conditions such as sleep apnoea, sudden infant death syndrome (SIDS), and many other general clinical uses requiring fast nonwearable and non-contact measurement of the respiratory function. In this paper, we demonstrate the feasibility of using Doppler Radar in measuring the basic respiratory frequencies (via fast Fourier transform) for four different types of breathing scenarios: normal breathing, rapid breathing, slow inhalation-fast exhalation, and fast inhalation-slow exhalation conducted in a laboratory environment. A high correlation factor was achieved between the Doppler Radar-based measurements and the conventional measurement device, a respiration strap. We also extended this work from basic signal acquisition to extracting detailed features of breathing function (I: E ratio). This facilitated additional insights into breathing activity and is likely to trigger a number of new applications in respiratory medicine.

Separation of Doppler radar-based respiratory signatures

Respiration detection using microwave Doppler radar has attracted significant interest primarily due to its unobtrusive form of measurement. With less preparation in comparison with attaching physical sensors on the body or wearing special clothing, Doppler radar for respiration detection and monitoring is particularly useful for long-term monitoring applications such as sleep studies (i.e. sleep apnoea, SIDS). However, motion artefacts and interference from multiple sources limit the widespread use and the scope of potential applications of this technique. Utilising the recent advances in independent component analysis (ICA) and multiple antenna configuration schemes, this work investigates the feasibility of decomposing respiratory signatures into each subject from the Doppler-based measurements. Experimental results demonstrated that FastICA is capable of separating two distinct respiratory signatures from two subjects adjacent to each other even in the presence of apnoea. In each test scenario, the separated respiratory patterns correlate closely to the reference respiration strap readings. The effectiveness of FastICA in dealing with the mixed Doppler radar respiration signals confirms its applicability in healthcare applications, especially in long-term home-based monitoring as it usually involves at least two people in the same environment (i.e. two people sleeping next to each other). Further, the use of FastICA to separate involuntary movements such as the arm swing from the respiratory signatures of a single subject was explored in a multiple antenna environment. The separated respiratory signal indeed demonstrated a high correlation with the measurements made by a respiratory strap used currently in clinical settings.

Breastfeeding mothers’ experiences of bedsharing: a qualitative study

Many cultures around the world routinely practise bedsharing by the mother-infant dyad. Bedsharing in these cultures is believed to ensure a safe and comfortable night’s sleep for both mother and infant, as well as supporting breastfeeding. Nonetheless, this practice is at odds with dominant Western cultural ideals about child rearing and is recommendedagainst by public health campaigns regarding SIDS. The current qualitative study aimed to explore the lived experiences of breastfeeding mothers who bed-shared with their infants in a Western cultural setting. In-depth interviews were conducted with six multiparous mothers and were analysed using a phenomenological framework. Seven themes wereidentified, including mothers’ increased sleep quality and/or quantity, easier infant settling and a strong relationship with breastfeeding ease and duration. Given that many mothers bed-share, public policies need to be inclusive of this practice in order to lessen the likelihood of unsafe bedsharing practices.