Search Results
The global automotive industry has been exposed to an overproduction crisis for several decades. Under the pressure of restructuring, automotive companies renew both the geographical scope and the technological standardization of their production processes. We analyze the effects this restructuring had on the development of European economies in order to understand whether vertical specializations in the automotive value chain can lead to Central and Eastern European countries’ catching up to advanced economies, or whether such specializations reproduce new forms of core-periphery relations. In order to answer this question, we introduce a new methodological approach to understand vertical specialization in the global value chain from a semi-peripheral perspective. We combine the theory of global value chains with Vernon's product life-cycle theory. In the research we focus on the standardization of the production of electric engines behind the geographical relocation of production between core and periphery.
sitting 46/F 1.5 × 10 14 Achieved Achieved 5 Coronary stent implantation Uncoiled guidewire
; F = 11.528; df = 6, 54; p < .001; adjusted R 2 = 0.513; R 2 change = 0.074. j Variables entered in the first step: BDI, BAI, AUDIT-KS, BIS-11; F = 15
), significant increase in a* ( F = 15.106) and decrease in hue angle (data not shown in figures) values ( F = 10.578) were observed as normal postharvest ripening in the case of the at 10 °C (control) stored samples compared to the results of CI inducing
), significant increase in a* ( F = 15.106) and decrease in hue angle (data not shown in figures) values ( F = 10.578) were observed as normal postharvest ripening in the case of the at 10 °C (control) stored samples compared to the results of CI inducing
significant difference in body weight ( F = 7.68, P = 0.001), glucose ( F = 69.55, P = 0.001), insulin ( F = 15.29, P = 0.001), insulin resistance ( F = 10.92, P = 0.001), and RBP4 ( F = 9.67, P = 0.001) in the end of exercise training protocol
match R 2 for the overall model was .11, [ F (15, 1792) = 15.40, p < .001]. The following predictors were statistically significant when controlling for all other variables in the model: being female, being
school EFL and ESP Self-employed English MA, PhD in progress H Dawn 39 F 15
PGSI group was also found, F (15, 225) = 2.27, p = .006, η 2 = 0.13, although the main effect of PGSI group was not statistically significant ( p = .134; see Figure 2 ). Figure 2
