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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.
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