Methods used for regional development analysis are employed mainly
to make forecasts and comparisons. Forecasting models of various
types (e.g. econometric models) are usually used for forecasting.
Recently, vector-autoregressive models (VAR) have become popular.
These models were proposed by Sims in 1980. On the contrary,
taxonomic methods (that are in the center of attention as far as
the present publication is concerned) are most often employed to
make comparisons. Linear ordering methods, including standard
methods, are the most popular among ta- nomic methods. They are
based on different distance and similarity measures, which leads to
the fact that they do not always provide reliable information.
When, for example, one construes the standard for a base year and
then compares it with data for other years, it may turn out that
the measure determined will have worse values than the standard for
a real object (region, micro region) although this object is better
from the standard. Hence, one must look for new methods employed in
regional development analysis or improve hitherto existing ones in
such a way so that information obtained re?ects the reality to a
larger extent. The main aim of the present publication is to work
out methodological basis for regional development analysis based on
vector calculus together with assumptions about computer system
supporting the implementation of the method suggested.
General
| Imprint: |
Physica-Verlag
|
| Country of origin: |
Germany |
| Series: |
Contributions to Economics |
| Release date: |
October 2010 |
| First published: |
2009 |
| Authors: |
Kesra Nermend
|
| Dimensions: |
235 x 155 x 9mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
174 |
| Edition: |
Softcover reprint of hardcover 1st ed. 2009 |
| ISBN-13: |
978-3-7908-2583-1 |
| Categories: |
Books >
Business & Economics >
Economics >
Political economy
Promotions
|
| LSN: |
3-7908-2583-2 |
| Barcode: |
9783790825831 |
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