: Kesra Nermend
: Vector Calculus in Regional Development Analysis Comparative Regional Analysis Using the Example of Poland
: Physica-Verlag
: 9783790821796
: 1
: CHF 85.30
:
: Volkswirtschaft
: English
: 174
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
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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.
Contents5
List of Variables and Notation7
Introduction9
1 Regional Development: Economic Perspective12
1.1 Notion and Factors Determining Regional Development12
1.2 Data Monitoring for Regional Development Assessment24
1.3 Regional Development Indicators31
2 Methodological Dilemma Over Regional Development Analysis37
2.1 Organization of Analytical Processes in Regional Development Investigation37
2.2 Review of Methods Used for Regional Development Analysis42
2.3 Reasons Behind Using Vector Calculus in Regional Development Analysis67
3 Methodology of Vector Calculus in Regional Development Analysis68
3.1. Procedure for Applying Vector Calculus in Regional Development Analysis68
3.2. Taxonomic Vector Measure of Regional Development 3.2.1. Interpretation of Data in Space79
3.2.2. Vector Component Along Another Vector83
3.2.3. Comparison of Vectors in Unitary Space91
3.3. Visualization of Local Development Measures in 3D Space95
4 Taxonomic Synthetic Vector Measure in the Assessment of Regional Development: Results of Empirical Research99
4.1 Selection of Diagnostic Variables99
4.2 Construction of the Standard Object103
4.3 Investigation of Spatial Relationships Between Groups of Variables123
5 Computer-Aided Regional Development Analysis128
5.1 Computer System for Regional Development Analysis as a Decision Support System128
5.2 Concept of Decision Support System in Regional Development Analysis137
5.3 Data-Base Management System (DBMS) 5.3.1 System Functions139
5.3.2 Model-Base Management System (MBMS)142
5.3.3 Dialog Generation and Management System (DGMS)144
5.4 Functioning of Computer System for Regional Development Analysis147
Conclusions159
Bibliography160
List of Figures and Tables170