-The paper aimed to evaluate the level of development of agriculture in 25 member states of the European Union (EU) in 2010-2013. The analysis was carried out using the development model proposed by Hellwig, which enabled the calculation of a single synthetic aggregate measure based on the characteristics of agriculture in respective countries. This made it possible to compare the analysed member states, thus providing the basis for allocating them to uniform groups characterised by a similar level of agricultural development. The results indicate that the Netherlands and Denmark are the countries with the highest level of agricultural development. The studies also show that the worst level of development in the ranking is presented primarily by the member states that acceded to the EU in 2004 and later, with agriculture in Slovakia and the Czech Republic being an exception. The diversification of the values of synthetic measure in respective member states points to a considerable diversification of agricultural development within the EU, which is determined both by the production potential and the effectiveness of its utilisation.
This article concerns issues of innovation management, especially product innovations (new products) and marketing innovations in context of shaping a positive image of the offer and in that way achieving a competitive advantage. The purpose of this article is to determine the effect of the degree of innovation of food products on their perception. Furthermore, in this article there were verified opinions of respondents about perception of new products and marketing innovations (unusual promotion and distribution solutions) used in the food market which are the result of the creative technique of combination.
The paper presents the results of research aimed at determining the impact of the use of EU funds on local development on the example of voivodeships. The first stage of the research was performed with the use of Hellwig's development model method. It was aimed at classifying individual voivodships and assigning them to one of four groups in terms of their level of development. The next stage was to check whether the examined features proving the level of local development are also related to the level of use of EU funds under RDP. In the third stage, the analysis of Ward clusters was used and answers were sought as to whether the units which are clustered together in terms of the level of use of EU funds are at the same time included in the same groups in terms of the level of local development.
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