The dynamics of industry growth, technology and globalization have a dramatic impact on the current economic growth of nations, significantly changing the market structure and world trade, and challenging the competitive equilibrium and their guiding principles. In the world of innovations and spill-over of R&D effects, various forms of non-competitive market structures have evolved in recent times. This book analyzes the new paradigm of change in technology intensive industries, with an emphasis in three main areas; non-parametric models of growth, sources of industry growth and non-competitive market structures in a dynamic framework. The authors to this volume utilise theoretical and empirical analysis to examine the role of R&D investment and Solow-type technical progress, using the non-parametric methods of efficiency analysis, also known as Data Envelopment Analysis. This book is essential reading for all interested in economic theory and innovation.

This volume discusses the latest techniques and their economic applications for modern industries like computer, pharmaceutical, banking and other manaufacturing. These industries are most important for a growing economy. Both econometric and mathematical programming techniques are analyzed so as to develop a synthetic approach. The industrial applications not only emphasize the various aspects of R&D spending, advertisement expenditure and imperfect market structures, but also assess the economic benefits of measuring some specific performance paremers in the light of policy reforms adopted in a growing economy.

This book examines India's new economy -- its strengths, weaknesses and potential. The book covers three key areas of growth in India's economy -- the IT (information technology) sector, export trade (with its externality effects) and the financial sector (in particular, banking reforms).

This book provides detailed empirical analysis of countries in Asia to examine various dynamic models that incorporate the impact of technology and innovations on the industry evolution and overall economic growth.

Jati K. Sengupta examines the market dynamics of the evolution of industry and the impact of new technology with R&D and knowledge capital. The book builds the theory of innovations in the contexts of the high-tech industries of today such as computing and telecommunications.

This book discusses both competitive and game theory models of industry growth through new technology, innovations and new entry, and provides a comprehensive treatment of various dynamic models of entry, applications of efficiency and entry models in computers and the pharmaceuticals industry, and applied models of Differential Games. The book analyzes the theory of Schumpeterian innovations and its impact on the selection and adjustment process in industry evolution, and emphasizes the applied and empirical aspects of evolutionary dynamics, with a case study of the computer industry over the years 1985-2000.

This book examines new policies for accelerating India's economic growth. This book discusses a set of dynamic strategies for growth, emphasizing the dynamic role of information technology and the New Economy. These show how new growth and the historical experiences of fast-growing Asian countries can be utilised for a new growth paradigm in India.

This book provides detailed empirical analysis of countries in Asia to examine various dynamic models that incorporate the impact of technology and innovations on the industry evolution and overall economic growth.

This book examines India's new economy - its strengths, weaknesses and potential. The book covers three key areas of growth in India's economy - the IT (information technology) sector, export trade (with its externality effects) and the financial sector (in particular, banking reforms).

This book discusses both competitive and game theory models of industry growth through new technology, innovations and new entry, and provides a comprehensive treatment of various dynamic models of entry, applications of efficiency and entry models in computers and the pharmaceuticals industry, and applied models of Differential Games.

This book examines new policies for accelerating India's economic growth. This book discusses a set of dynamic strategies for growth, emphasizing the dynamic role of information technology and the New Economy. These show how new growth and the historical experiences of fast-growing Asian countries can be utilised for a new growth paradigm in India.

Jati K. Sengupta examines the market dynamics of the evolution of industry and the impact of new technology with R&D and knowledge capital. The book builds the theory of innovations in the contexts of the high-tech industries of today such as computing and telecommunications.

Understanding the stochastic enviornment is as much important to the manager as to the economist. From production and marketing to financial management, a manager has to assess various costs imposed by uncertainty. The economist analyzes the role of incomplete and too often imperfect information structures on the optimal decisions made by a firm. The need for understanding the role of uncertainty in quantitative decision models, both in economics and management science provide the basic motivation of this monograph. The stochastic environment is analyzed here in terms of the following specific models of optimization: linear and quadratic models, linear programming, control theory and dynamic programming. Uncertainty is introduced here through the para meters, the constraints, and the objective function and its impact evaluated. Specifically recent developments in applied research are emphasized, so that they can help the decision-maker arrive at a solution which has some desirable charac teristics like robustness, stability and cautiousness. Mathematical treatment is kept at a fairly elementary level and applied as pects are emphasized much more than theory. Moreover, an attempt is made to in corporate the economic theory of uncertainty into the stochastic theory of opera tions research. Methods of optimal decision rules illustrated he re are applicable in three broad areas: (a) applied economic models in resource allocation and economic planning, (b) operations research models involving portfolio analysis and stochastic linear programming and (c) systems science models in stochastic control and adaptive behavior."

The theory of optimal decisions in a stochastic environment has seen many new developments in recent years. The implications of such theory for empirical and policy applications are several. This book attempts to analyze some of the impor tant applied aspects of this theory and its recent developments. The stochastic environment is considered here in specific form, e.g., (a) linear programs (LP) with parameters subject to a probabilistic mechanism, (b) decision models with risk aversion, (c) resource allocation in a team, and (d) national economic planning. The book attempts to provide new research insights into several areas, e.g., (a) mixed strategy solutions and econometric tests of hypotheses of LP models, (b) the dual problems of efficient estimation and optimal regulation, (c) input-output planning under imperfect competition, and (d) linear programs viewed as constrained statistical games. Methods of optimal decision rules developed here for quadratic and linear decision problems are applicable in three broad areas: (a) applied economic models in resource allocation, planning and team decision, (b) operations research models in management decisions involving portfolio analysis and stochastic programming, and (c) systems science models in stochastic control and adaptive behavior. Some results reported here have been published in professional journals be-. fore, and I would like to thank the following journals in particular: Inter national Journal of Systems Science, Journal of Optimization Theory and Applica tions and Journal of Mathematical Analysis and Applications."

These essays in honor of Professor Gerhard Tintner are substantive contributions to three areas of econometrics, (1) economic models and applications, . (2) estimation, and (3) stochastic programming, in each of which he has labored with outstanding success. His own work has extended into multivariate analysis, the pure theory of decision-making under un certainty, and other fields which are not touched upon here for reasons of space and focus. Thus, this collection is appropriate to his interests but covers much less than their full range. Professor Tintner's contributions to econometrics through teaching, writing, editing, lecturing and consulting have been varied and inter national. We have tried to highlight them in "The Econometric Work of Gerhard Tintner" and to place them in historical perspective in "The Invisible Revolution in Economics: Emergence of a Mathematical Science. " Professor Tintner's career to date has spanned the organizational life of the Econometric Society and his contributions have been nearly coextensive with its scope. His principal books and articles up to 1968 are listed in the "Selected Bibliography. " Professor Tintner's current research involves the intricate problems of specification and application of stochastic processes to economic systems, particularly to growth, diffusion of technology, and optimal control. As always, he is moving with the econometric frontier and a portion of the frontier is moving with him. IV Two of the editors wrote dissertations under Professor Tintner's sup- vision; the third knew him as a colleague and friend."