Titlebook: Economic Growth in the Regions of Europe; Theory and Empirical Sascha Sardadvar Book 2011 Springer-Verlag Berlin Heidelberg 2011 European I

熱心助人

Milind A. Chavan,Margaret A. Rileyt slightly changes. Section 5.1 reviews some approaches to regional development, including new economic geography. In Sects. 5.2 and 5.3, some particular features of standard neoclassical growth models are reconsidered in view of setting up a model of regional growth.

plasma-cells

Molecular Approach and Genomic Tools,y is presented in Sect. 6.1. Section 6.2 examines specific characteristics of the neoclassical production. Finally, the key equations of the evolution of factors of production are discussed in Sect. 6.3.

Painstaking

Structure of the Modely is presented in Sect. 6.1. Section 6.2 examines specific characteristics of the neoclassical production. Finally, the key equations of the evolution of factors of production are discussed in Sect. 6.3.

粗野

1431-1933 tion of the theoretical model into a spatial econometric modAlthough interest in spatial growth regressions has been growing in recent years, formal theoretical approaches that acknowledge the role of space in economic growth have been sparse. In particular in a regional context, the assumption of i

Terrace

Bacterial and Bacteriophage Genetics that examines the incidence of knowledge spillovers from neighbouring regions within the framework of the Solow model. In Sect. 3.2, a spatial enhancement of the Solow model for . economies is reviewed, along with a brief discussion of approaches that refer to the Verdoorn Law.

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Spartan

閑蕩

Structure and Function of Bacteriophagesafter a considerable number of equations, the model’s complexities are reduced into one linear equation with clear conclusions. Finally, in Sect. 8.3, the model’s implications are summarised in connection with an outlook to possible extensions and future research.

軌道

Phages and Asexual Bacterial Populations a constant and a spatially correlated term. The method of ordinary least squares would cause inefficient results in such a specification, but estimation using the method of maximum likelihood overcomes this problem.

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