Agglomeration and Spreading in an Asymmetric World
We study Krugman's core–periphery (CP) model for most general cases of nonidentical regions and fully characterize instant and long-run equilibria. Assuming immobility of labor, we describe the behavior of equilibrium wages/real wages. Moreover, the relative wages/real wages of industrial workers can both increase and decrease with the population with which they are associated. Under the assumption of industrial labor mobility, possible patterns of economic evolution, as responses to trade freeness, are fully described. We show that in the case of noticeable agricultural asymmetry, all mobile labor inevitably accumulates in countries with larger agricultural populations.
Models enabling to assess stability of solutions connected with the choice of the optimal production plan are presented in the article. The optimal production plan ensures the maximum profit for the company under input restraints. At the same time in the standard model supplementary variable is added which reflects inflation rate in the economy. Within the framework of current task this variable reflects external environment change. While developing models stability intervals for , production plans were defined, such as threshold levels of inflation, when the shift from one production plan to another takes place.
A scalable method for mining graph patterns stable under subsampling is proposed. The existing subsample stability and robustness measures are not antimonotonic according to definitions known so far. We study a broader notion of antimonotonicity for graph patterns, so that measures of subsample stability become antimonotonic. Then we propose gSOFIA for mining the most subsample-stable graph patterns. The experiments on numerous graph datasets show that gSOFIA is very efficient for discovering subsample-stable graph patterns.
An initial–boundary value problem for the generalized Schrödinger equation in a semi-infinite strip is solved.
A new family of two level finite-difference schemes with averaging over spatial variables on a finite mesh is constructed, which covers a set of finite-difference schemes built using various methods. For the family, an abstract approximate transparent boundary condition (TBC) is formulated and the solutions are proved to be absolutely stable in two norms with respect to both initial data and free terms. A discrete TBC is derived, and the stability of the family of schemes with this TBC is proved. The implementation of schemes with the discrete TBC is discussed.
The object of study of this paper is a regional economic system which is complex, dynamic and developable by nature. The reproduction of material wealth necessary for the region is provided in the process of functioning of the above system through the interaction between the combinations of subjective (personal) and objective (material) elements, thereby meeting regional environmental and economic needs.
The purpose of paper is to investigate how the interplay of trade, commuting and communication costs shapes economy at both inter-regional and intra-urban level. Specifically, we study how trade affects the internal structure of cities and how decentralizing the production and consumption of goods in secondary employment centers allows firms located in a large city to maintain their predominance. The feature of approach is using of two-dimensional city pattern instead of the "long narrow city'' model.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.