Nermend Vector Calculus in Regional Development Analysis

Comparative Regional Analysis Using the Example of Poland
1. Auflage 2009
ISBN: 978-3-7908-2179-6
Verlag: Physica-Verlag HD
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 174 Seiten

Reihe: Contributions to Economics

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.

Autoren/Hrsg.

Nermend, Kesra

Inhaltsverzeichnis

1;Contents;5
2;List of Variables and Notation;7
3;Introduction;9
4;1 Regional Development: Economic Perspective;12
4.1;1.1 Notion and Factors Determining Regional Development;12
4.2;1.2 Data Monitoring for Regional Development Assessment;24
4.3;1.3 Regional Development Indicators;31
5;2 Methodological Dilemma Over Regional Development Analysis;37
5.1;2.1 Organization of Analytical Processes in Regional Development Investigation;37
5.2;2.2 Review of Methods Used for Regional Development Analysis;42
5.3;2.3 Reasons Behind Using Vector Calculus in Regional Development Analysis;67
6;3 Methodology of Vector Calculus in Regional Development Analysis;68
6.1;3.1. Procedure for Applying Vector Calculus in Regional Development Analysis;68
6.2;3.2. Taxonomic Vector Measure of Regional Development 3.2.1. Interpretation of Data in Space;79
6.3;3.2.2. Vector Component Along Another Vector;83
6.4;3.2.3. Comparison of Vectors in Unitary Space;91
6.5;3.3. Visualization of Local Development Measures in 3D Space;95
7;4 Taxonomic Synthetic Vector Measure in the Assessment of Regional Development: Results of Empirical Research;99
7.1;4.1 Selection of Diagnostic Variables;99
7.2;4.2 Construction of the Standard Object;103
7.3;4.3 Investigation of Spatial Relationships Between Groups of Variables;123
8;5 Computer-Aided Regional Development Analysis;128
8.1;5.1 Computer System for Regional Development Analysis as a Decision Support System;128
8.2;5.2 Concept of Decision Support System in Regional Development Analysis;137
8.3;5.3 Data-Base Management System (DBMS) 5.3.1 System Functions;139
8.4;5.3.2 Model-Base Management System (MBMS);142
8.5;5.3.3 Dialog Generation and Management System (DGMS);144
8.6;5.4 Functioning of Computer System for Regional Development Analysis;147
9;Conclusions;159
10;Bibliography;160
11;List of Figures and Tables;170