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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
An analysis of the determinants influencing the probability of cancellation for projects receiving EU funding
 Nový, Petr ; Martišková, Monika (advisor) ; Patáková, Magdalena (referee)
This thesis approaches the problem of the cancelled projects receiving EU funding as another reference variable through which the absorption capacity of the Czech Republic may be measured. The determinants influencing the probability of projects cancellation have so far been only modestly described. Therefore, an attempt to examine some determinants influencing the probability of cancellation for projects receiving EU funding is made, first, by summarizing and describing trends of cancelled projects in the programming period 2007 - 2013 and, second, by econometric inference trying to find the possible determinants. The data shows the ever increasing trend of cancelled projects and large share of the Operational Program Enterprise and Innovations on all cancelled projects. It was found that it is the size of the paid amount for projects that determines negatively the probability of projects cancellation most significantly. Apart from that, the age of a firm and number of employees also play a significant positive role. The year 2008 when crisis broke out, is also a determining factor.
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An analysis of the determinants influencing the probability of cancellation for projects receiving EU funding
 Nový, Petr ; Martišková, Monika (advisor) ; Patáková, Magdalena (referee)
This thesis approaches the problem of the cancelled projects receiving EU funding as another reference variable through which the absorption capacity of the Czech Republic may be measured. The determinants influencing the probability of projects cancellation have so far been only modestly described. Therefore, an attempt to examine some determinants influencing the probability of cancellation for projects receiving EU funding is made, first, by summarizing and describing trends of cancelled projects in the programming period 2007 - 2013 and, second, by econometric inference trying to find the possible determinants. The data shows the ever increasing trend of cancelled projects and large share of the Operational Program Enterprise and Innovations on all cancelled projects. It was found that it is the size of the paid amount for projects that determines negatively the probability of projects cancellation most significantly. Apart from that, the age of a firm and number of employees also play a significant positive role. The year 2008 when crisis broke out, is also a determining factor.
Detailed record

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