Vector Calculus in Regional Development Analysis - Kesra Nermend

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Vector Calculus in Regional Development Analysis (eBook)

Comparative Regional Analysis Using the Example of Poland

Kesra Nermend (Autor)

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2009 | 2009
VIII, 174 Seiten
Physica (Verlag)
978-3-7908-2179-6 (ISBN)

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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.

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

Erscheint lt. Verlag	29.4.2009
Reihe/Serie	Contributions to Economics
Zusatzinfo	VIII, 174 p. 81 illus.
Verlagsort	Heidelberg
Sprache	englisch
Themenwelt	Wirtschaft ► Volkswirtschaftslehre
Schlagworte	Calculus • Ranking of Economic Objects • Regional Development • Taxonomic Methods • Vector calculus
ISBN-10	3-7908-2179-9 / 3790821799
ISBN-13	978-3-7908-2179-6 / 9783790821796

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Buch | Softcover (2010)

106,99 €