IN SEPTEMBER 2006 THE GOVERNMENT'S newly published White Paper on Irish Aid was presented to the media and the public as a statement of Ireland's new position in, and increased responsibilities to, the international community. The economic success of the Celtic Tiger era had endowed the State not only with the means but also with the obligation to strengthen its aid commitments to developing nations.
In September 2009, the government's newly published White Paper on Irish Aid was presented to the media and the public as a statement of Ireland's new position in, and increased responsibilities to, the international community. The economic success of the Celtic Tiger era had endowed the State not only with the means but also with the obligation to strengthen its aid commitments to developing nations. The White Paper outlined an ambitious strategy: Irish Aid would administer the overseas aid budget (OAB) to direct development assistance to nine 'programme' countries, seven in Africa and two in Asia. Smaller amounts of aid would go to 'other aid recipient countries' in Europe, Africa, Latin America and Asia. In implementing the strategy, Irish Aid would develop partnerships with and allocate funding to non-governmental organisations (NGOs), multilateral organisations and the governments of developing countries. The White Paper committed the Government to raising the OAB to 0.7% of Gross National Product (GNP) by 2007. On reaching this level, Government projections anticipated an annual OAB of about €1.5bn.
AbstractAgricultural extension is an important policy instrument utilized to diffuse knowledge and increase profitability among farmers. However, analyses on impact are subject to endogeneity concerns, causing multiple biases. Failure to combat endogeneity can lead to false inferences on impact. This article addresses this issue by applying an instrumental variable approach with distance to local advisory office and a policy change chosen as instruments for extension participation. The results show that participation significantly increased farm income and that OLS estimates underestimated the impact. Therefore, a superior estimate of impact is achieved which can be leveraged to better support accurate policy making.