published in: History & Mathematics: Processes and Models of Global Dynamics, Volgograd, Russia, 2010, 92 – 137
Starting from Professor Kornai’s assertion about the necessity to focus on the long-term perspectives of the transformation process, we analyze in this paper the Lisbon performance of the countries of the European Union from such a long-term, structural perspective. We present in a simple form the mathematical methods used in this essay. Then, we analyze Lisbon indicator performance by factor analytical means. We conclude that only a Schumpeterian vision of capitalism as a process of “creative destruction” – or rather – “destructive creation” can explain these contradictions, which we empirically reveal in this analysis, and which beset the “Lisbon process” from the very beginning. Our factor analysis tells us that a majority of the kernel Lisbon indicators go indeed hand in hand with high comparative price levels; high freight transport; high greenhouse gas emissions; low business investment rates; and low youth educational attainment rates. We conclude that in reality we are facing four underlying and contradictory processes including a Lisbon productivity factor; high eco-social exclusion; the employment performance; and the neo-liberal European model.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.