Aid allocation of the emerging Central and Eastern European donors

This paper examines the main characteristics of the (re-)emerging foreign aid policies of the Visegrád countries (the Czech Republic, Hungary, Poland, Slovakia), concentrating on the allocation of their aid resources. I adopt an econometric approach, similar to the ones used in the literature, for analysing the aid allocation of the OECD DAC donors. Using this approach, I examine the various factors that influence aid allocation of the Visegrád countries, using data for the years between 2001 and 2008. The most important conclusion is that the amount of aid a partner country gets from the four emerging donors is not influenced by the level of poverty or the previous performance of the recipients (measured by the level of economic growth or the quality of institutions). The main determining factor seems to be geographic proximity, as countries in the Western Balkans and the Post-Soviet region receive much more aid from the Visegrád countries than other recipients. Historical ties (pre-1989 development relations) and international obligations in the cases of Afghanistan and Iraq are also found to be significant explanatory factors. This allocation is in line with the foreign political and economic interests of these new donors. Although there are clear similarities between the four donors, this paper also identifies some individual country characteristics.

Are democratising countries ‘rewarded’ with higher levels of foreign aid?

The paper examines how flows of foreign aid have reacted to events of democratisation in developing countries. Using a panel dataset of 136 aid-receiving countries between 1980 and 2009, aid allocation regressions reveal that Western donors in general have tended to react to visible, major democratic transitions by increasing aid to the partner country, but no significant increases can be identified in the case of countries introducing smaller democratic reforms. The increases in aid flows are not sustained over time, implying that donors do not provide long-term support to nascent democracies. Also, democratisations in Sub-Saharan Africa do not seem to have been rewarded with higher levels of aid.

A multi-organisational approach for disaster preparedness and response:the use of optimisation and GIS for facility location, stock pre-positioning, resource allocation and relief distribution

From 1992 to 2012 4.4 billion people were affected by disasters with almost 2 trillion USD in damages and 1.3 million people killed worldwide. The increasing threat of disasters stresses the need to provide solutions for the challenges faced by disaster managers, such as the logistical deployment of resources required to provide relief to victims. The location of emergency facilities, stock prepositioning, evacuation, inventory management, resource allocation, and relief distribution have been identified to directly impact the relief provided to victims during the disaster. Managing appropriately these factors is critical to reduce suffering. Disaster management commonly attracts several organisations working alongside each other and sharing resources to cope with the emergency. Coordinating these agencies is a complex task but there is little research considering multiple organisations, and none actually optimising the number of actors required to avoid shortages and convergence. The aim of the this research is to develop a system for disaster management based on a combination of optimisation techniques and geographical information systems (GIS) to aid multi-organisational decision-making. An integrated decision system was created comprising a cartographic model implemented in GIS to discard floodable facilities, combined with two models focused on optimising the decisions regarding location of emergency facilities, stock prepositioning, the allocation of resources and relief distribution, along with the number of actors required to perform these activities. Three in-depth case studies in Mexico were studied gathering information from different organisations. The cartographic model proved to reduce the risk to select unsuitable facilities. The preparedness and response models showed the capacity to optimise the decisions and the number of organisations required for logistical activities, pointing towards an excess of actors involved in all cases. The system as a whole demonstrated its capacity to provide integrated support for disaster preparedness and response, along with the existence of room for improvement for Mexican organisations in flood management.