๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Space-time modeling of macroeconomic development

โœ Scribed by Sakari Tapani Jutila


Publisher
Elsevier Science
Year
1974
Tongue
English
Weight
818 KB
Volume
10
Category
Article
ISSN
0005-1098

No coin nor oath required. For personal study only.

โœฆ Synopsis


Space-Time Modeling of Macroeconomic Development

Modelage Espace-Temps d'un D6veloppement Maerobxmomique Raum-Zeit-Modellierung der makro6konomisehen Entwieklung ]-[pocTpaHCTeeHHOe BpeMeHI-IOe MO)Ie0aHpOBaHHe pa3nnTH~ MaIq303I~OHOMHI~ SAKARI TAPANI JUTILA* A 'geography' in terms of a spatial structure and/or respective location variables may be incorporated into spatial macroeconomic development models to portray such processes as continental economic development, urbanization, agricultural development and population dynamics.

SHmamry--This article deals with space-time modeling of macroeconomic development or theory of spatial macroeconomic development (SMED). The theory of SMED is a new branch of economics, and it is reviewed here in terms of several published articles. The purpose of SMED is to provide a better accounting and understanding of such processes as urbaniTation, agricultural development of hinterlands, and spreading of population along easy paths of transporation. In general, SMED deals with growth and spreading of economic activity over space and time. Therefore, space is treated as a basic scarce resource over which economic activity develops through efforts of production, consumption, transportation and migration. In this presentatiun, the examples of SMED processes are discussed in terms of simple linear models. It is pointed out that such models can be generalized in several different directions in order to treat, for example, spatially inhomogeneous and nonisotropic cases, temporally nonlinear and stochastic cases with distributed lags, and cases with certain important limits to growth. SMED models can be formulated, also, as optimiTAtion and control system problems with potentially important implication for public policies for processes of economic development.


๐Ÿ“œ SIMILAR VOLUMES


Spaceโ€“time modeling of rainfall data
โœ Luis Guillermo Coca Velarde; Hรฉlio S. Migon; Basilio de B. Pereira ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 206 KB
Bankruptcy prediction using a discrete-t
โœ Chae Woo Nam; Tong Suk Kim; Nam Jung Park; Hoe Kyung Lee ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 121 KB

## Abstract The purpose of this paper is to build an alternative method of bankruptcy prediction that accounts for some deficiencies in previous approaches that resulted in poor outโ€ofโ€sample performances. Most of the traditional approaches suffer from restrictive presumptions and structural limita

Development of CAD models for space engi
โœ Stรฉphane Bila; Michel Aubourg; Dominique Baillargeat; Serge Verdeyme; Damien Pac ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 973 KB

This article emphasizes cooperative work between a public research laboratory (XLIM) and an industrial company specialized in space technologies (Thales Alenia Space) for the development of advanced computer-aided design (CAD) solutions. In particular, the article reviews two computer-aided techniqu

Distribution model of organism developme
โœ Peter J.H. Sharpe; Guy L. Curry; Don W. DeMichele; Charles L. Cole ๐Ÿ“‚ Article ๐Ÿ“… 1977 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 886 KB