Dang / Liu / Wang Optimization of Regional Industrial Structures and Applications

1. Auflage 2010
ISBN: 978-1-4200-8752-9
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 372 Seiten

Reihe: Systems Evaluation, Prediction, and Decision-Making

Based on research projects supported by the National Natural Science Foundation of China and Nanjing University of Aeronautics and Astronautics, Optimization of Regional Industrial Structures and Applications provides an authoritative introduction to and survey of the cutting-edge research and applications in industrial structure optimization. Employing grey systems theory as its method of analysis, it integrates grey systems theory with industrial structure optimization theory to provide dynamic and efficient methods of measurement, analysis, and decision making.

The authors cover several models of grey regional industrial structure, including grey correlation priority analysis, industrial structure order degree measurement model, regional leading industries grey assessment model and turnpike model. The first part of the book clarifies basic theory. This section covers the production and development of industrial structure theory, evolution laws of industrial structure, rationalization and upgrading of industrial structures, factors of industrial structure upgrading, input–output analysis, and mathematical modeling of regional industrial structures.

The second section introduces four case studies that illustrate real-world research and applications. It considers the approaches and measures taken in China’s industrial structure upgrade during the "eleventh five-year plan". The case studies examine measures of and strategies for Jiangsu province’s industrial structural adjustment.
This section also presents the optimization and promotion study of the "eleventh five" industrial structure of another city in China.

The models detailed in this book not only develop application fields of grey systems theory, but also enrich the theories of industrial structure optimization. All of the methods presented in the text are reviewed in the case studies to supply readers with a vivid and practical understanding.

Zielgruppe

Information systems and management researchers, geoscientists, engineers, agriculture, medical, and bioscience researchers.

Autoren/Hrsg.

Dang, Yaoguo

Liu, Sifeng

Wang, Yuhong

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Industrielle Organisation

Inhaltsverzeichnis

Origin and Development of Industrial Structure Theory
Meaning of Industrial Structure
Origin of Industrial Structure Theory
Development of the Industrial Structure Theory
Research Field and Theoretical System of Industrial Structure
Evolution and Laws of Industrial Structure
Related Theories on Industrial Structure Evolution
General Trend in the Evolution of Industrial Structure
Empirical Analysis of the Typical Countries
Rationalization of Industrial Structure
Meaning and Content of Industrial Structure
Judging Benchmark for Industrial Structure Rationalization
Comparison and Determination of Industrial Structure Rationalization
Adjustment of Industrial Structure Rationalization
Advancement of Industrial Structure
Dynamic Reasons of the Advancement of Industrial Structure
Functioning Mechanism of the Advancement of Industrial Structures
Judgment Standard of the Advancement of Industrial Structure
Economic Development Stage and the Level of Advancement of Industrial Structure
Main Influencing Factors of the Advancement of Industrial Structure
Relational Analysis for Industrial Output
Fundamental Tools of the Industrial Structure Relation Analysis
Analysis of the Relational Effect of the Industrial Structure
Inter-Industry Effect Results Analysis

Regional Industrial Structure
Conception and Characteristic of Region
Optimization of Regional Industrial Structure and Economic Development
Influence Factors of Regional Industrial Structure
Economic Indicators to Analyze the Regional Industrial Structure
Regional Industrial Structure Policy
Selection of Regional Leading Industry
Summarization of Selection
Related Theories of Selection Benchmark of Regional Leading Industries
Principle of Selecting Regional Leading Industry
Measuring Indexes of Selecting Regional Leading Industry
Optimization Model of Regional Industrial Structure
Model of Estimating the Order Degree of Industrial Structure
"Fast Track" Model of Industrial Structure Adjustment
Grey Dynamic Linear Programming Model of Industrial Structure Adjustment
Grey Clustering Decision-Making Model of the Selection of Regional Leading Industries
Research on Industrial Structure Optimization and Upgrading in M City, W Province during the Period of "11th Five-Year Plan"
Status Quo and Problems in the Industrial Structure of M City
Main Influence Factors of the Industrial Structure Upgrading in M City
Selection of Leading Industries in M City
Industrial Structure Optimization of M City

Keystones and Ideas of the Industrial Structure Adjustment in S Province
Current Situation and Problems in the Industrial Structure in S Province
Selection of Leading Industries in S Province
S Direction and Keystone of the Industrial Structure Adjustment in S Province
Research on App roaches to Industrial Structure Upgrading of S Province
Background of Industrial Structure Upgrading of S Province
Comprehensive Evaluation and Analysis of the Industrial Structure of S Province Approaches to Industrial Structure Upgrading of S Province Countermeasure of Realizing the Upgrading of Industrial Structure in S Province
Study on Ways of Industrial Structure Advancement during the 11th Five-Year Pl an in China
Main Problems Existing in Optimization of the Industrial Structure Spatial Layout and Situation of Chinese Industrial Structure
Our Target of Industrial Structure Adjustment
Measurement of the Degree of Order for Chinese Industrial Structure Choice of Methods to Upgrade Industrial Structure in China

Über Autor(innen)

Dr. Yaoguo Dang is the director of Department of Management Science and Engineering at College of Economics and Management, Nanjing University of Aeronautics and Astronautics, China. He is the vice director of the Institute for Grey Systems Studies and also of Post-Evaluation Center in Jiangsu Province. He also serves as the vice president of the Grey Systems Society of China. He is the secretary-general of Chinese Agricultural Systems Engineering Youth Seminar. He is also an advisor for doctoral students in management science and engineering disciplines.

Dr. Dang has directed and participated in more than 30 research projects at provincial and national levels. He has published more than 100 research papers in national and international journals and more than nine books. Over the years, he has been awarded national and provincial prizes nine times for his outstanding achievements in scientific research and applications. He has won many accolades for his excellent achievements. He was selected as the excellent young scholar of Henan province in 1998. He was recognized as the training object selected as the training object by "333 high-level talents project" of Jiangsu province. He was selected as the young leader in science and technology of "333 high-level talents" of Jiangsu province in 2007.
Dr. Dang serves as a member of the editorial board of some professional journals such as Journal of Grey System (Taiwan) and Grey Systems: Theory and Applications (USA).

Dr. Sifeng Liu received the bachelor’s degree in mathematics from Henan University, China in 1981, the MS degree in economics, and the PhD degree in systems engineering from Huazhong University of Science and Technology, China, in 1986 and 1998, respectively. He was a visiting professor at Slippery Rock University in Slippery Rock, Pennsylvania and Sydney University in Sydney, New South Wales, Australia. At present, Professor Liu is the founding director of the Institute for Grey Systems Studies and the dean of College of Economics and Management of Nanjing University of Aeronautics and Astronautics. He is also a distinguished professor and guide for doctoral students in management science and systems engineering disciplines.

Dr. Liu’s main research activities are in grey systems theory and regional technical innovation management. He has directed more than 50 projects at the national, provincial, and ministerial levels, has participated in international collaboration projects, and has published over 200 research papers and 16 books. Over the years, he has been awarded 18 provincial and national prizes for his outstanding achievements in scientific research and applications. In 2002, he was recognized by the World Organization of Systems and Cybernetics. Dr. Liu has won several accolades such as the "National Excellent Teacher" in 1995, "Excellent Expert of Henan Province" in 1998, "Excellent Science and Technology Staff in Jiangsu Province" in 2002, "Expert Enjoying Government’s Special Allowance" in 2000, "National Expert with Prominent Contribution" in 1998, "National Advanced Individual for Returnee" and "Achievement Award for Returnee" in 2003, and "Outstanding Managerial Personnel of China" in 2005.

Dr. Liu is a member of the evaluation committee of Natural Science Foundation of China (NSFC), a member of the standing committee for teaching guide in management science and engineering of the Ministry of Education, China. He also serves as an expert on soft science at the Ministry of Science and Technology, China. Professor Liu currently serves as the chair of the Technical Committee of the IEEE SMC on Grey Systems, as the president of Grey Systems Society of China (GSSC), as vice president of Chinese Society for Optimization, Overall Planning and Economic Mathematics (CSOOPEM), as co-chair of Beijing Chapter and Nanjing Chapter of IEEE SMC, as vice president of Econometrics and Management Science Society of Jiangsu Province (EMSSJS), and as vice president of Systems Engineering Society of Jiangsu Province (SESJS), as a member of the Nanjing Decision Consultancy Committee. He serves as the editor-in-chief of Grey Systems: Theory and Application, a member of the editorial board of over 10 professional journals, including The Journal of Grey System (UK), Scientific Inquiry (USA), Journal of Grey System (Taiwan), Chinese Journal of Management Science, Systems Theory and Applications, Systems Science and Comprehensive Studies in Agriculture, and the Journal of Nanjing University of Aeronautics and Astronautics.

Dr. Yuhong Wang received the master’s degree and PhD degree in management science from College of Economics and Management, Nanjing University of Aeronautics and Astronautics in 2006 and 2010, respectively. He is currently with School of Business, Jiangnan University, China. He has been to the Department of Industrial Engineering, University of Arkansas, Fayetteville, Arkansas from August 2008 to August 2009 in a joint trained PhD student program between University of Arkansas and Nanjing University of Aeronautics and Astronautics sponsored by China Scholarship Council.

Yuhong’s research interests focus mainly on grey systems theory, evidential reasoning, and their applications in industrial economics and reliability engineering. He has participated in some research projects and published some research papers in international journals such as Expert Systems with Applications, International Journal of Computational Intelligence Systems, The Journal of Grey System, System Engineering Theory and Practice, and so on. He also participated in international conferences such as IEEE SMC, RAMS, IEEE, and GSIS.