Adopting evolutionary and behavioral approaches, this volume presents the latest research advances in knowledge competencies and human capital, as well as the changing structural dynamics, highlighting their links with entrepreneurial activities. It provides a set of international, benchmark case studies on initiatives (at the national, regional or individual level) geared towards entrepreneurship development. Focusing on diverse environments, systems and life cycle stages: young, established and transition industries and markets; as well as regions, it offers a valuable guide for scholars and practitioners interested in the interaction of entrepreneurship, knowledge competencies, human resources management and innovation.

Adopting evolutionary and behavioral approaches, this volume presents the latest research advances in knowledge competencies and human capital, as well as the changing structural dynamics, highlighting their links with entrepreneurial activities. It provides a set of international, benchmark case studies on initiatives (at the national, regional or individual level) geared towards entrepreneurship development. Focusing on diverse environments, systems and life cycle stages: young, established and transition industries and markets; as well as regions, it offers a valuable guide for scholars and practitioners interested in the interaction of entrepreneurship, knowledge competencies, human resources management and innovation.

The book illustrates the considerable advances in modern evolutionary economics and addresses core questions of economic behaviour, interaction of heterogeneous actors in uncertain environments and the possibility of aggregating observations on a macro-economic level. It presents the foundations of economic change as the major building blocks of an economic approach that focusses on complex processes driven by endogenous innovation as well as crisis. The theoretical considerations are complemented by econometric studies to demonstrate the relevance of evolutionary-economic thinking to improve our understanding of the most challenging issues related to economic growth and development.

This volume is devoted to innovation with a special focus on its two sides, namely creation and destruction, and on its role in the evolution of capitalist economies. The first part of the book looks at innovation and its effects on economic performance, addressing issues of motives, behavioral rules under uncertainty, actor properties, and technology characteristics. The second part concentrates on potential consequences of innovative activities, in particular structural change, the "innovation-mediated" effect of skill-oriented policies on regional performance, the destructive effects of innovation activities, and the question whether novelty is always good. The role of innovation in the evolution of capitalism itself is discussed in the third part.

This judicious selection of recent essays demonstrates the applicability of the fundamental principles of neo-Schumpeterian economics, namely, innovation and uncertainty. The authors demonstrate how neo-Schumpeterian economics is developing into a comprehensive economic theory encompassing industry, the public sector and financial markets. Neo-Schumpeterian economics has become a prolific field with a major orientation towards innovation-driven industrial dynamics. However, a truly comprehensive neo-Schumpeterian approach argues that innovation is also an important element in both the public and financial sectors. For example, a lack of public infrastructure or speculative bubbles in financial markets can hinder or even prevent economic development. The expert contributions to this book deal with the future orientation of the subject in terms of innovative performance in the industrial, financial and public sectors. Recent Advances in Neo-Schumpeterian Economics can be considered a first attempt to substantiate the comprehensive neo-Schumpeterian approach, of which Horst Hanusch has been a leading proponent. This unique and path-breaking book will be of great interest and value to researchers in the fields of innovation, industrial economics, financial markets and the public sector.

Recent developments in economics have gone from the recognition of the importance of innovation for growth and the exploration of innovation mechanisms to the incorporation of the results of the previous research into economic models. An important lesson to be drawn from all this research is that a purely macro-based analysis of growth is not enough. The various mechanisms of innovation creation and diffusion, the importance of agent heterogeneity, of market selection processes, of the internal organization of the firm and of organizational routines, and the obsolescence and the consequent emergence of new types of capital goods are a few examples of micro-economic phenomena that contribute decisively to macro-economic development. The papers in this volume approach those issues from a Schumpeterian point of view and tackle issues like the growing importance of knowledge and human capital; increasing returns and path dependence; the role of variety in economic growth; competition and industry evolution.

This volume is devoted to innovation with a special focus on its two sides, namely creation and destruction, and on its role in the evolution of capitalist economies. The first part of the book looks at innovation and its effects on economic performance, addressing issues of motives, behavioral rules under uncertainty, actor properties, and technology characteristics. The second part concentrates on potential consequences of innovative activities, in particular structural change, the "innovation-mediated" effect of skill-oriented policies on regional performance, the destructive effects of innovation activities, and the question whether novelty is always good. The role of innovation in the evolution of capitalism itself is discussed in the third part.

The twelve papers in this collection grew out of the workshop on "Eco nomic Evolution, Learning, and Complexity" held at the University of Augsburg, Augsburg, Germany on May 23-25, 1997. The Augsburg workshop was the second of two events in the Euroconference Series on Evolutionary Economics, the first of which was held in Athens, Greece in September 1993. A special issue of the Journal of Evolutionary Econo mics (1993(4)) edited by Yannis Katsoulacos on "Evolutionary and Neo classical Perspectives on Market Structure and Economic Growth" con tains selected papers from the Athens conference. The Athens conference explored neoclassical and evolutionary perspectives on technological competition and increasing returns. It helped to identify the dis tinguishing features of evolutionary scholarship. The Augsburg workshop was more oriented toward exploring methodological issues in evolutiona of the papers employed new me ry and related scholarship. A number thods, such as genetic programming and experimental analysis, some developed new econometric techniques or raised new empirical issues in evolutionary economics, and some relied on simulation techniques. Twelve papers covering a range of areas were selected for this collection. The papers address central issues in evolutionary and Schumpeterian accounts of industrial competition, learning, and innovation."

For as long as one can remember, the edifice of the neoclassical economic syn thesis has been under attack. Critiques have focused on the extreme unreality of the assumptions that underpin the Arrow-Debreu theorems of welfare economics. They have queried the excessive formalism of the edifice, and the lack of practical significance of many of the results.They have castigated the neoclassical synthesis for its internal incoherence (lacking an independent theory of capital, for example, one of the favorite topics of the Cambridge school), its lack of a dynamic element, its non-evolutionary character, its lack of any conception of "market process" and so the list could be continued (Blaug, 1997). Through all this, the neoclassi cal synthesis remains as strong as ever, impervious it seems to these or any other attacks. In this paper a different tack is taken. The neoclassical edifice is left alone, standing as a representation of what goes on in a certain kind ofeconomy- namely the economy wheregoods and services are producedand exchanged. The paper then introduces another kind of economy, namely an economy of productive entities called "resources"- that are needed to produce the economyofgoods and services."

Joseph Schumpeter oscillated in his view about the type of economic system that was most conducive to growth. In his 1911 treatise, Schumpeter argued that a more decentralized and turbulent industry structure where the pro cess of creative destruction was triggered by vigorous entrepreneurial ac tivity was the engine of economic growth. But by 1942 Schumpeter had modified his theory, arguing instead that a more centralized and stable industry structure was more conducive to growth. According to Schum peter (1942, p. 132), under the managed economy there was little room for entrepreneurship because, "Innovation itself is being reduced to routine. Technological progress is increasingly becoming the business of teams of trained specialists who turn out what is required to make it work in pre dictable ways" (p. 132). Schumpeter (1942) reversed his earlier view by arguing that the integration of knowledge creation and appropriation be stowed an inherent innovative advantage upon giant corporations, "Since capitalist enterprise, by its very achievements, tends to automize progress, we conclude that it tends to make itself superfluous - to break to pieces under the pressure of its own success."

This book provides an account of work in the Schumpeterian and evolutionary tradition of industrial dynamics and the evolution of industries. It is shown that over time industries evolve and change their structure. In this dynamic process, change is affected and sometimes constraint by many factors, including knowledge and technologies, the capabilities and incentives of actors, new products and processes, and institutions.

Silicon Valley is the most salient example of high-tech industrial clusters. Public policymakersthroughouttheworldwouldliketolearnthesecretsofSiliconValley in order to build their own high-tech economies. The existing literature on ind- trial clusters, which traces back to Marshall (1920), focuses on the way in which ?rms bene't from locating in a cluster; it suggests that once a cluster comes into existence, it tends to reinforce itself by attracting more ?rms. However, a more important question is how to reach this critical mass in the ?rst place. In contrast to the literature, evidence suggests that entrepreneurs rarely move when they est- lish high-tech start-ups (Cooper and Folta, 2000). This contradicts the notion that location choice analyses lead entrepreneurs to a high-tech cluster. A high-tech industrial cluster such as Silicon Valley is characterized by c- centratedentrepreneurship. FollowingSchumpeter, weemphasizethefactthat"the appearance of one or a few entrepreneurs facilitates the appearance of others" (Schumpeter,1934). Weproposeanagent-basedcomputationalmodeltoshowhow high-tech industrial clusters could emerge in a landscape in which no ?rms existed originally. The model is essentially a spatial version of the Nelson-Winter model: Boundedly rational agents are scattered over an explicitly de?ned landscape. Each agent is endowed with some technology, which determines his ?rm's productivity (if he has one). During each period of time, an agent with no ?rm would make a decision as to whether he wants to start one. This decision is mostly affected by the behavior of his social contacts, who are all his neighbors.

Recent developments in economics have gone from the recognition of the importance of innovation for growth and the exploration of innovation mechanisms to the incorporation of the results of the previous research into economic models. An important lesson to be drawn from all this research is that a purely macro-based analysis of growth is not enough. The various mechanisms of innovation creation and diffusion, the importance of agent heterogeneity, of market selection processes, of the internal organization of the firm and of organizational routines, and the obsolescence and the consequent emergence of new types of capital goods are a few examples of micro-economic phenomena that contribute decisively to macro-economic development. The papers in this volume approach those issues from a Schumpeterian point of view and tackle issues like the growing importance of knowledge and human capital; increasing returns and path dependence; the role of variety in economic growth; competition and industry evolution.

This book provides an account of work in the Schumpeterian and evolutionary tradition of industrial dynamics and the evolution of industries. It is shown that over time industries evolve and change their structure. In this dynamic process, change is affected and sometimes constraint by many factors, including knowledge and technologies, the capabilities and incentives of actors, new products and processes, and institutions.

Silicon Valley is the most salient example of high-tech industrial clusters. Public policymakersthroughouttheworldwouldliketolearnthesecretsofSiliconValley in order to build their own high-tech economies. The existing literature on ind- trial clusters, which traces back to Marshall (1920), focuses on the way in which ?rms bene't from locating in a cluster; it suggests that once a cluster comes into existence, it tends to reinforce itself by attracting more ?rms. However, a more important question is how to reach this critical mass in the ?rst place. In contrast to the literature, evidence suggests that entrepreneurs rarely move when they est- lish high-tech start-ups (Cooper and Folta, 2000). This contradicts the notion that location choice analyses lead entrepreneurs to a high-tech cluster. A high-tech industrial cluster such as Silicon Valley is characterized by c- centratedentrepreneurship. FollowingSchumpeter, weemphasizethefactthat"the appearance of one or a few entrepreneurs facilitates the appearance of others" (Schumpeter,1934). Weproposeanagent-basedcomputationalmodeltoshowhow high-tech industrial clusters could emerge in a landscape in which no ?rms existed originally. The model is essentially a spatial version of the Nelson-Winter model: Boundedly rational agents are scattered over an explicitly de?ned landscape. Each agent is endowed with some technology, which determines his ?rm's productivity (if he has one). During each period of time, an agent with no ?rm would make a decision as to whether he wants to start one. This decision is mostly affected by the behavior of his social contacts, who are all his neighbors.

Joseph Schumpeter oscillated in his view about the type of economic system that was most conducive to growth. In his 1911 treatise, Schumpeter argued that a more decentralized and turbulent industry structure where the pro cess of creative destruction was triggered by vigorous entrepreneurial ac tivity was the engine of economic growth. But by 1942 Schumpeter had modified his theory, arguing instead that a more centralized and stable industry structure was more conducive to growth. According to Schum peter (1942, p. 132), under the managed economy there was little room for entrepreneurship because, "Innovation itself is being reduced to routine. Technological progress is increasingly becoming the business of teams of trained specialists who turn out what is required to make it work in pre dictable ways" (p. 132). Schumpeter (1942) reversed his earlier view by arguing that the integration of knowledge creation and appropriation be stowed an inherent innovative advantage upon giant corporations, "Since capitalist enterprise, by its very achievements, tends to automize progress, we conclude that it tends to make itself superfluous - to break to pieces under the pressure of its own success."

Mikrookonomisch fundierte Einfuhrung: Sie zeigt, wie man auch ohne Vorkenntnisse der Produktionsfunktion zu Aussagen uber die produktive Effizienz kommen kann. Die Autoren stellen den Ansatz der nichtparametrischen Frontierfunktionsanalyse vor und erweitern ihn uber verschiedene Schritte. Diese Schritte umfassen die Analyse verschiedener Formen variabler Skalenertrage und die Ermittlung der produktivsten Unternehmensgrosse."

Das Lehrbuch Volkswirtschaftslehre 1 prasentiert eine leicht verstandliche und moderne Einfuhrung in die volkswirtschaftliche Theorie und Politik. Es werden die Grundlagen der Nationalokonomie erlautert, die vor allem fur Studierende der Anfangssemester an Hochschulen und Wirtschaftsakademien von grosser Bedeutung sind. Basierend auf einer Erklarung elementarer Begriffe und Prinzipien der Volkswirtschaftslehre befasst sich der zweite und dritte Teil des Buches mit den grossen Teilgebieten dieses Faches, namlich der Mikro- und der Makrookonomie. Der gesamte Lehrstoff wird durch Graphiken und Zahlenbeispiele erganzt und enthalt zudem zahlreiche aktuelle Bezuge, um wichtige Zusammenhange hervorzuheben. Der geplante Band Volkswirtschaftslehre" "2 vertieft zentrale Themen der Mikro- und Makrookonomie und erweitert diese um neue Fragestellungen."

In einem Zwei-Lander Aussenhandelsmodell ricardianischer Provenienz werden der Einfluss international unterschiedlicher Technologieniveaus sowie verschiedener Arten technischen Fortschritts auf das Einkommen und die Aussenhandelsstruktur der Handelspartner wirkungsanalytisch untersucht. Im Zentrum stehen der Prozess- und der Produktfortschritt als jeweils verschiedene Spielarten des Catch-up bzw. Forging-ahead. Die traditionelle aussenhandelstheoretische Analyse technischen Fortschritts, ausschliesslich verstanden als Verbesserung der Produktionstechnologie, wird so um den Produktfortschritt erweitert, und die dabei auftretenden unterschiedlichen analytischen Ergebnisse werden einander gegenubergestellt."

Der vorliegende zweite Teil des Lehrbuches baut inhaltlich auf dem ersten Band auf. Dies gilt insbesondere in dem Sinne, dass das Denken und Arbeiten auf modelltheoretischer Grundlage weiterentwickelt wurde. Beide Teile des Lehr- buches zusammen bieten sowohl eine UEbersicht uber wesentliche Bestandteile der modernen Nationaloekonomie, mit Hilfe derer sich aktuelle Fragen und Entwicklungen besser verstehen lassen, als auch eine Einfuhrung in die mathe- matische OEkonomie. Ein grundliches Studium beider Bande wird dem Leser das Verstandnis erganzender und komplizierterer Literatur erleichtern. Zu diesem Zweck fugen wir eine Liste ausgewahlter Lehrbucher und Monographien bei. Wie auch im ersten Band endet jedes Kapitel mit einer Anzahl von Fragen und Aufgaben, damit das Denken in Annahmen und daraus resultierenden Schlussfolgerungen geubt werden kann. Schliesslich sei noch erwahnt, dass das Buch nicht nur analytische, sondern auch Entscheidungsmodelle bespricht, wobei mir die Entscheidungsmodelle des hollandischen Centraal Planbureaus auf dem Hintergrund der wirtschaftlichen und wirtschaftspolitischen Entwicklung fur die Bundesrepublik Deutschland von besonderer Bedeutung zu sein scheinen. Es ist mir ein grosses Bedurfnis, an dieser Stelle Herrn PETER HUBER fur die UEbersetzung des hollandischen Textes zu danken. Er hat es meines Erachtens verstanden, wesentliche Charakteristika der erfolgreichen hollandischen Aus- gabe in der deutschen Fassung zu berucksichtigen. Schliesslich moechte ich darauf hinweisen, dass dieser zweite Band in etwa der 1. Auflage des hollandischen Originaltextes De Kern van de Economie, deel2 entspricht, an der mein Assistent Dr. R. ScHOENDORFF mitgearbeitet hat. Ich danke ihm fur seine Bereitschaft, gewissen AEnderungen im Interesse der deutschen Ausgabe zuzustimmen .

This volume contains a collection of papers all concerned with the exploration of economic and social dynamics in relation to the innovation process and its outcomes. This theme is firmly rooted in the Schumpeterian tradition in which an economic perspective is mutually embedded in a wider awareness of the role of other disciplines. Indeed since Schumpeter's time, the degree of specialisation within the social sciences has risen many fold, new sub disciplines continue to emerge, highly specialised theoretical tools and empirical methods continue to be developed, and new fields for the study of management and business overlap with the more traditional social sciences. There is, consequently, a need for connecting principles to offset the dangers of intellectual fragmentation. Evolutionary economics and evolutionary analysis more generally, certainly provide some of these connecting principles. The various contributions to this volume reflect upon this research programme in a number of ways.