Distributing the European structural and investment funds from a conflicting claims approach

In order to support economic development across all European Union regions, €351.8 billion –almost a third of the total EU budget– has been set aside for the Cohesion Policy during the 2014–2020 period. The distribution of this budget is made through five main structural and investment funds, after long and difficult negotiations among the EU member states. This paper analyzes the problem of allocating the limited resources of the European Regional Development Fund as a conflicting claims problem. Specifically, we attempt to show how the conflicting claims approach fits this actual problem, and we propose alternative ways of distributing the budget via (i) claims solutions or (ii) the imposition of bounds (guarantees) to each of the regions. By applying this approach we also show that there is a claims solution that performs better than the others by reducing inequality and promoting convergence to a greater degree. It is clear that political bargaining will always be part of the allocation process. However, having an intuitive initial proposal may help politicians to find the best agreement. To that effect, we propose the use of a claims solution as a way to find an initial proposal for future policy changes concerning the allocations of the EU structural funds.

PEMODELAN DAN SIMULASI PROSES SURPLUS PADA BISNIS ASURANSI

Basic insurance business is public trust. Insurance companies must pay attention to the systems and procedures for the payment of claims problem which is not simple. One of the important thing is when determining premium, because if it is too high could lead the company out of competition with the competitor. In the other hand, it is too low could lead the company lack of cash to handle claim which bring a negative impact for the company. This research aimed to give illustration of surplus in insurance business in a year period through determination of premium income and stochastic modelling in number and amount of claims. This model could be used by insurance company to take decision when determining premium whether surplus or ruin. The research used Exponential and Gamma distribution to model time of arrival and amount of claim respectively. The result show that the minimum premium could be found to get minimum surplus and avoid ruin.