“…6 The statistical design of our study is based on the usual, SPSS-PAWS XVIII Surveying the vast econometric literature on the subject of the possible drivers and bottlenecks of the EU-2020 process and overall development performance of a given country, one indeed finds support for the inclusion of geographic and demographic variables in the comparative analysis of development success or failure. Our list is thus corresponding to international research standard praxis in the discipline of general 'development accounting' (Barro and Sala-i-Martin, 2003;Dixon, 1987;Dixon andMoon, 1986, 1989;Durlauf et al, 2008;Fain, 1997;Fosu, 2009Fosu, , 2010aFosu, , 2010bFosu, , 2010cMoon and Dixon, 1992;Shandra, 2007aShandra, , 2007bTausch and Prager, 1993). Compared to a recent approach on the subject (Knight and Rosa, 2011), we do include globalization-oriented variables as well, and not just levels of GDP, winters, social trust, democracy, inequality, and Latin America, former USSR, Africa, and Asia as 'dummy variables' (Knight and Rosa, 2011).…”