The EEAS and the Eastern Partnership: let the blame game stop. CEPS Commentary, 4 September 2012

In the first year and a half of its existence, the EEAS and its head have become the target of extensive criticism for the shortcomings of EU foreign policy; shortcomings that in fact date back to the creation of the European Union. The EU’s diplomatic service has been blamed variously for ‘lacking clarity,’ ‘acting too slowly’ and ‘being unable to bridge the institutional divide’. In this Commentary author Hrant Kostanyan argues that the EEAS’ discretionary power in the Eastern Partnership multilateral framework is restricted by the decision-making procedures between a wide range of stakeholders: the member states and the partner countries, as well as by the EU institutions, international organisations and the Civil Society Forum. Since this decision-making process places a substantial number of brakes on the discretionary power of the EEAS, any responsible analysis or critique of the service should take these constraints into consideration. Ultimately, the EEAS is only able to craft EU foreign policy insofar as it is allowed to do so.

Profitability and technical efficiency of aquaculture systems in Pampanga, Philippines

We evaluate the profitability and technical efficiency of aquaculture in the Philippines. Farm-level data are used to compare two production systems corresponding to the intensive monoculture of tilapia in freshwater ponds and the extensive polyculture of shrimps and fish in brackish water ponds. Both activities are very lucrative, with brackish water aquaculture achieving the higher level of profit per farm. Stochastic frontier production functions reveal that technical efficiency is low in brackish water aquaculture, with a mean of 53%, explained primarily by the operator's experience and by the frequency of his visits to the farm. In freshwater aquaculture, the farms achieve a mean efficiency level of 83%. The results suggest that the provision of extension services to brackish water fish farms might be a cost-effective way of increasing production and productivity in that sector. By contrast, technological change will have to be the driving force of future productivity growth in freshwater aquaculture.

Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks

An input variable selection procedure is introduced for the identification and construction of multi-input multi-output (MIMO) neurofuzzy operating point dependent models. The algorithm is an extension of a forward modified Gram-Schmidt orthogonal least squares procedure for a linear model structure which is modified to accommodate nonlinear system modeling by incorporating piecewise locally linear model fitting. The proposed input nodes selection procedure effectively tackles the problem of the curse of dimensionality associated with lattice-based modeling algorithms such as radial basis function neurofuzzy networks, enabling the resulting neurofuzzy operating point dependent model to be widely applied in control and estimation. Some numerical examples are given to demonstrate the effectiveness of the proposed construction algorithm.