Presents a discrete in time-space universal map of relative dynamics that is used to unfold an extensive catalogue of dynamic events not previously discussed in mathematical or social science literature. With emphasis on the chaotic dynamics that may ensue, the book describes the evolution on the basis of temporal and locational advantages. It explains nonlinear discrete time dynamic maps primarily through numerical simulations. These very rich qualitative dynamics are linked to evolution processes in socio-spatial systems. Important features include: The analytical properties of the one-stock, two- and three-location map; the numerical results from the one- and two-stock, two- and three-location dynamics; and the demonstration of the map's potential applicability in the social sciences through simulating population dynamics of the U.S. Regions over a two-century period. In addition, this book includes new findings: the Hopf equivalent discrete time dynamics bifurcation; the Feigenbaum slope-sequences; the presence of strange local attractors and containers; switching of extreme states; the presence of different types of turbulence; local and global turbulence. Intended for researchers and advanced graduate students in applied mathematics and an interest in dynamics and chaos. Mathematical social scientists in many other fields will also find this book useful.

Regional Science is now more than 50 years old; in the last two decades, significant advances in methodology have occurred, spurred in large part by access to computers. The range of analytical techniques now available is enormous; this books provides a sampling of the toolkit that is now at the disposal of analysts interested in understanding and interpreting the complexity of the spatial structure of sub- national economies. The set of tools ranges from the more traditional (input-output) to new developments in computable general equilibrium models, nonlinear dynamics, neural modelling and innovation.

In 1989, after several years of discussion and negotiation, the Regional Econornics Applications Laboratory (REAL) was formed. This unique relationship between the Federal Reserve Bank of Chicago and the University of Illinois at Urbana-Champaign has been a significant source of intellectual inspiration for many students, visiting colleagues and members of the participating institutions for the past decade. The idea for REAL was hatched by Philip Israilevich and Geoffrey Hewings in typical Chicago style - in the back room of a local bar. In early December 1997, their collaboration came to an untimely end when Philip died after a three-year battle with cancer. The challenge of moving across a spectrum from theory to model development to implementation and interpretation provided the underlying motivation for REAL's formation together with an equally important component, namely the translation of many of these efforts into a form that could be understood and implemented by policy makers. For Philip, REAL and the Regional Science Association International provided the forums for his intellectual endeavors, although he also contributed many papers in banking. In recognition of his contributions and to provide a sense of the current research in the fields in which he published, many of the authors of these chapters assembled in Chicago in November, 1998 to participate in a small seminar in his honor. Several others who were not able to come nevertheless contributed chapters to this volume. Subsequently, all of the papers have been revised and updated."

In 1976, volume 116 of the Lecture Notes in Economics and Mathematical Systems appeared in the library of the University of Illinois. The title of the book, Input-Output Analysis and the Structure of Income Distribution was sufficiently intriguing to one of the present editors (Hewings) to command attention. Some years later, during the First World Congress of the Regional Science Association in Cambridge Massachusetts in 1980, Madden and Batey presented some of their work using their now familiar demographic-economic modeling system. Discussion ensued about the relationship between this system, Miyazawa's formulation and the social accounting matrices most closely associated with the work of Stone. During a year's residence at the University of Illinois, Batey was able to produce a valuable typology of multipliers that began the process of integrating these several modeling systems into a coherent package. Thereafter, a number of regional scientists have exploited the ideas and insights proposed by Miyazawa, especially the notion of the interrelational income multiplier and the ideas of internal and external multipliers.

The book provides an overview of some of the recent techniques that have been applied to an understanding of the structure of regional and interregional exchange within national economies. The issues range from an evaluation of NAFTA, comparisons of regional economies, structral change over time and issues related to measurement and interpretation. Many of the contributions address the problems using network structures.

In 1976, volume 116 of the Lecture Notes in Economics and Mathematical Systems appeared in the library of the University of Illinois. The title of the book, Input-Output Analysis and the Structure of Income Distribution was sufficiently intriguing to one of the present editors (Hewings) to command attention. Some years later, during the First World Congress of the Regional Science Association in Cambridge Massachusetts in 1980, Madden and Batey presented some of their work using their now familiar demographic-economic modeling system. Discussion ensued about the relationship between this system, Miyazawa's formulation and the social accounting matrices most closely associated with the work of Stone. During a year's residence at the University of Illinois, Batey was able to produce a valuable typology of multipliers that began the process of integrating these several modeling systems into a coherent package. Thereafter, a number of regional scientists have exploited the ideas and insights proposed by Miyazawa, especially the notion of the interrelational income multiplier and the ideas of internal and external multipliers.

Presents a discrete in time-space universal map of relative dynamics that is used to unfold an extensive catalogue of dynamic events not previously discussed in mathematical or social science literature. With emphasis on the chaotic dynamics that may ensue, the book describes the evolution on the basis of temporal and locational advantages. It explains nonlinear discrete time dynamic maps primarily through numerical simulations. These very rich qualitative dynamics are linked to evolution processes in socio-spatial systems. Important features include: The analytical properties of the one-stock, two- and three-location map; the numerical results from the one- and two-stock, two- and three-location dynamics; and the demonstration of the map's potential applicability in the social sciences through simulating population dynamics of the U.S. Regions over a two-century period. In addition, this book includes new findings: the Hopf equivalent discrete time dynamics bifurcation; the Feigenbaum slope-sequences; the presence of strange local attractors and containers; switching of extreme states; the presence of different types of turbulence; local and global turbulence. Intended for researchers and advanced graduate students in applied mathematics and an interest in dynamics and chaos. Mathematical social scientists in many other fields will also find this book useful.

Regional Science is now more than 50 years old; in the last two decades, significant advances in methodology have occurred, spurred in large part by access to computers. The range of analytical techniques now available is enormous; this books provides a sampling of the toolkit that is now at the disposal of analysts interested in understanding and interpreting the complexity of the spatial structure of sub- national economies. The set of tools ranges from the more traditional (input-output) to new developments in computable general equilibrium models, nonlinear dynamics, neural modelling and innovation.

One of the key elements in determining the socio-economic significance of education is quality. Quality management plays an integral role in higher education by ensuring that quality benchmarks are being met, thereby attributing to its prestige, increased enrollment, and student success. Quality management policies must be successfully implemented for the institution to thrive. With quality management still in the growing stage, research is needed regarding the applications, challenges, and benefits of these policies within advanced academics. Quality Management Principles and Policies in Higher Education provides emerging research exploring the theoretical aspects of quality management policies and applications within the educational field. Featuring coverage on a broad range of topics such as faculty involvement, administration practices, and critical success factors, this book is ideally designed for educators, administrators, educational consultants, researchers, policymakers, stakeholders, deans, provosts, chancellors, academicians, and students seeking current research on successfully implementing quality management systems in teaching, learning, and administrative processes.

Although initially utilized in business and industrial environments, quality management systems can be adapted into higher education to assess and improve an institution's standards. These strategies are now playing a vital role in educational areas such as teaching, learning, and institutional-level practices. However, quality management tools and models must be adapted to fit with the culture of higher education. Quality Management Implementation in Higher Education: Practices, Models, and Case Studies is a pivotal reference source that explores the challenges and solutions of designing quality management models in the current educational culture. Featuring research on topics such as Lean Six Sigma, distance education, and student supervision, this book is ideally designed for school board members, administrators, deans, policymakers, stakeholders, professors, graduate students, education professionals, and researchers seeking current research on the applications and success factors of quality management systems in various facets of higher education.

One of the key elements in determining the socio-economic significance of education is quality. Quality management plays an integral role in higher education by ensuring that quality benchmarks are being met, thereby attributing to its prestige, increased enrollment, and student success. Quality management policies must be successfully implemented for the institution to thrive. With quality management still in the growing stage, research is needed regarding the applications, challenges, and benefits of these policies within advanced academics. Quality Management Principles and Policies in Higher Education provides emerging research exploring the theoretical aspects of quality management policies and applications within the educational field. Featuring coverage on a broad range of topics such as faculty involvement, administration practices, and critical success factors, this book is ideally designed for educators, administrators, educational consultants, researchers, policymakers, stakeholders, deans, provosts, chancellors, academicians, and students seeking current research on successfully implementing quality management systems in teaching, learning, and administrative processes.

Although initially utilized in business and industrial environments, quality management systems can be adapted into higher education to assess and improve an institution's standards. These strategies are now playing a vital role in educational areas such as teaching, learning, and institutional-level practices. However, quality management tools and models must be adapted to fit with the culture of higher education. Quality Management Implementation in Higher Education: Practices, Models, and Case Studies is a pivotal reference source that explores the challenges and solutions of designing quality management models in the current educational culture. Featuring research on topics such as Lean Six Sigma, distance education, and student supervision, this book is ideally designed for school board members, administrators, deans, policymakers, stakeholders, professors, graduate students, education professionals, and researchers seeking current research on the applications and success factors of quality management systems in various facets of higher education.