"A wage curve is a decreasing function of wages on the regional unemployment rate. Most empirical studies on the wage curve ignore possible spatial interaction effects between the regions which are the primary units of research. This paper reconsiders the western German wage curve with a special focus on the geography of labour markets. Spillovers between regions are taken into account. The paper tests whether the unemployment rate in the larger surrounding region also affects wages. In addition, agglomeration effects and effects of local monopsony are assessed.
The main database is a random sample of 974,179 employees observed over the period 1980–2004 and covering 326 NUTS3 units (districts). This rich data set is used to estimate a dynamic wage curve according to the two-step approach of Bell et al. (2002). In the first step one controls for individual heterogeneity and in the second step one allows for spatial effects of unemployment across regions on wages. We check the sensitivity of this wage elasticity to various spatial weight matrices as well as allowing for the endogeneity of unemployment. We also estimate the wage elasticity for various population groups."
This paper analyses the Serbian socio-economic spatial differentiation via a purely quantitative approach. In Serbia, huge development disparities between north and south, urban and rural as well as central and peripheral areas are obvious. Getting to the bottom of these spatial differences is one of the fundamental scientific and planning challenges of the region. This question of unevenly distributed living conditions is examined on the basis of factor analyses of secondary statistical data of the Serbian municipalities. The intention thereby was to identify the distribution of regional or spatial inequality by correlating an amount of 25 reliable variables. Combining the spheres of population structure, economy, employment, infrastructure, pre-school education and medical care an overall Index of Socio-economic Pressure is proposed to detect patterns of regional development on the Serbian territory.
Supplier selection is an integral part of supply chain management (SCM). It plays a prominent role in the purchasing activity of manufacturing and trading companies. Evaluation of vendors and procurement planning requires simultaneous consideration of tangible and intangible decision factors, some of which may conflict. A large body of analytical and intuitive methods has been proposed to trade off conflicting aspects of realism and optimize the selection process. In the large companies the fields of decision makers’ (DMs) expertise are highly distributed and DMs’ authorities are unequal. On the other hand, the decision components and their interactions are very complex. These facts restrict the effectiveness of using the existing methods in practice. The authors present a multicriteria decision analysis (MCDA) method which facilitates making supplier selection decisions by the distributed groups of experts and improves quality of the order allocation decisions. A numerical example is presented and applicability of the proposed algorithm is demonstrated in the Raiffeisen Westfalen Mitte, eG in Germany.