The Strategic and Effective Dimensions of the Border Tax Adjustment

2015 ◽  
Vol 17 (6) ◽  
pp. 824-847 ◽  
Author(s):  
LISA ANOULIÈS
1979 ◽  
Vol 32 (4) ◽  
pp. 481-492
Author(s):  
KEN MESSERE

2015 ◽  
Vol 4 (1) ◽  
pp. 113 ◽  
Author(s):  
Hossein Gholizadeh ◽  
Ali Bonyadi Naeini ◽  
Alireza Moini

Absorption capacity of knowledge is the concept which is been introduced in this situation. This phenomenon describes why some countries are in a better condition with a view to technology. Many countries believe that the power to stay in the battle and excel other competitors directly depends on their abilities in taking knowledge. Many countries have used their technological gap with developed countries as an accelerator for improving their absorption capacity. In this study, authors tried to produce a complete definition for absorption capacity through analyzing different research. Then with using expert opinions, a categorization for dimensions of absorption capacity will be prepared by using the structural equation modeling analysis, and finally a model for measuring absorption capacity is suggested. The results show effective dimensions in 5 different section. Studies depict that the most important one is keeping which could be a fundamental for long-term policies of 1404.


2005 ◽  
Vol 38 (3) ◽  
pp. 311-332 ◽  
Author(s):  
Tao Chen ◽  
Tomáš Kočka ◽  
Nevin L. Zhang

2011 ◽  
Vol 96 (4) ◽  
pp. 440-449 ◽  
Author(s):  
Sergei Kucherenko ◽  
Balazs Feil ◽  
Nilay Shah ◽  
Wolfgang Mauntz

2021 ◽  
Author(s):  
Bo Christiansen

Abstract. We give a simple description of the blessing of dimensionality with the main focus on the concentration phenomena. These phenomena imply that in high dimensions the length of independent random vectors from the same distribution have almost the same length and that independent vectors are almost orthogonal. In climate and atmospheric sciences we rely increasingly on ensemble modelling and face the challenge of analysing large samples of long time-series and spatially extended fields. We show how the properties of high dimensions allow us to obtain analytical results for, e.g., correlations between sample members and the behaviour of the sample mean when the size of the sample grows. We find that the properties of high dimensionality with reasonable success can be applied to climate data. This is the case although most climate data show strong anisotropy and both spatial and temporal dependence resulting in effective dimensions around 25–100.


Author(s):  
K V J Rao ◽  
S Kolla ◽  
Ch Penchalayya ◽  
M Ananda Rao ◽  
J Srinivas

This paper proposes the formulation and solution procedures in the stage optimization of the effective dimensions of an axial-flow gas turbine. Increasing the stage efficiency and minimizing the overall mass of components per stage are the common objectives in gas turbine design. This multiple objective function, with important constraints like natural frequency limits, root stress values, and tip deflection in blades, constitutes the overall optimization problem. The problem is solved by using a modified nonlinear simplex method with a built-in user interactive program that helps in on-line modifications of parameters other than variables in the problem. Results are presented with single objective and multiple objective criteria, including sensitivity analyses about the optimum point.


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