The Economics Of Knowledge Innovation And Systemic Technology Policy

There is wide consensus on the importance of knowledge for economic growth and local development patterns. This book proposes a view of knowledge as a collective, systemic and evolutionary process that enables agents and social systems to overcome the challenges of the limits to growth. It brings together new conceptual and empirical contributions, analysing the relationship between demand and supply factors and the rate and direction of technological change. It also examines the different elements that compose innovation systems. The Economics of Knowledge, Innovation and Systemic Technology Policy provides the background for the development of an integrated framework for the analysis of systemic policy instruments and their mutual interaction the socio-political and economic conditions of the surrounding environment. These aspects have long been neglected in innovation policy, as policymakers, academics and the business community, have mostly emphasized the benefits of supply side strategies. However, a better understanding of innovation policies grafted on a complexity-based approach calls for the appreciation of the mutual interactions between both supply and demand aspects, and it is likely to improve the actual design of policy measures. This book will help readers to understand the foundations and working of demand-driven innovation policies by stressing the importance of compent and smart demand.

There is wide consensus on the importance of knowledge for economic growth and local development patterns. This book proposes a view of knowledge as a collective, systemic and evolutionary process that enables agents and social systems to overcome the challenges of the limits to growth. It brings together new conceptual and empirical contributions, analysing the relationship between demand and supply factors and the rate and direction of technological change. It also examines the different elements that compose innovation systems. The Economics of Knowledge, Innovation and Systemic Technology Policy provides the background for the development of an integrated framework for the analysis of systemic policy instruments and their mutual interaction the socio-political and economic conditions of the surrounding environment. These aspects have long been neglected in innovation policy, as policymakers, academics and the business community, have mostly emphasized the benefits of supply side strategies. However, a better understanding of innovation policies grafted on a complexity-based approach calls for the appreciation of the mutual interactions between both supply and demand aspects, and it is likely to improve the actual design of policy measures. This book will help readers to understand the foundations and working of demand-driven innovation policies by stressing the importance of compent and smart demand.

Patrick Llerena and Mireille Matt BETA, Strasbourg, E-mail: pllerena@coumot. u-strasbg. fr BETA, Strasbourg, E-mail: matt@coumot. u-strasbg. fr 0. 1 Why Analyze Innovation Policies From a Knowledge- Based Perspective? It is broadly accepted that we have moved (or are moving) to a knowled- based economy, characterized at least by two main features: that knowl edge is a major factor in economic growth, and innovation processes are systemic by nature. It is not surprising that this change in the economic paradigm requires new analytical foundations for innovation policies. One of the purposes of this book is to make suggestions as to what they should include. Underpinning all the chapters in this book is a conviction of the impor tance of dynamic and systemic approaches to innovation policy. Nelson (1959)^ and Arrow (1962)^ saw innovation and the creation of new knowl edge as the emergence and the diffusion of new information, characterized essentially as a public good. The more recent theoretical literature regarded the rationale for innovation policies as being to provide solutions to "mar ket failures". Today, however, knowledge is seen as multidimensional (tacit vs. codified) and open to interpretation. Acknowledging that the creation, coordination and diffusion of knowledge are dynamic and cumu lative processes, and that innovation processes result from the coordination of distributed knowledge, renders the "market failure" view of innovation policies obsolete. Innovation policies must be systemic and dynamic.

The genesis and diffusion of innovation depends upon the density of the cognitive and market relationships among individuals, organisations and institutions at both the micro- and macro-economic level. This book presents a progressive enquiry into the economic and social origins of innovation.

Scholars in the science and technology field have not collectively questioned, much less proposed, an agenda for policy makers. Now is an appropriate time for such an undertaking. First, there is a growing belief that the U.S. national research and development system, like that of many industrial nations, is changing due to global competitive pressures and advancements in information technology and electronic commerce. Second, industry's R&D relationship with the academic research community is changing not only because of the global competition but also because of alterations in the level of government support of fundamental research. As a result, policy makers will need to rethink their approaches to science and technology issues. This volume is a collection of essays by scholars about innovative policy in the knowledge-based economy. By knowledge-based economy we mean one for which economic growth is based on the creation, distribution, and use of technology. As such, innovation policy in such an economy must enhance the creation, distribution, and use of knowledge that leads to the creation, distribution, and use of technology. This volume considers elements of an innovation policy: innovation policy and academic research, innovation policy in electronic commerce, and innovation policy and globalization issues.

A landmark reference work in the field, this Elgar Encyclopedia presents over 60 entries from scholars that have shaped the making of the economics of innovation as a distinct and specialised field of investigation within the broad range of economic disciplines. This will be a critical read for economics scholars, particularly those focusing on knowledge and innovation as it offers an understanding of the definitions of key terms in the field, the founding tenets of the topic, and the economics of knowledge and innovation in more specific contexts.

Two hundred years ago, the first Industrial Revolution sparked a dramatic acceleration in the quantity of goods and services available to the average citizen--a trend of steadily increasing real income per capita that continues to this day. Since that time, economists have struggled to develop systematic explanations for what caused the sudden, rapid increase, why the economy keeps growing, and why the rate of growth varies in different time periods and nations. In this book, F. M. Scherer traces the evolution of economic growth theory from the Industrial Revolution to the present. Emphasizing technological change as the most crucial dynamic force for growth, Scherer analyzes early hypotheses that paid little attention to new technologies, follows the emergence of theories that increasingly emphasized technological change, and reviews the current state of economic growth theory. Pointing out a lack of solid microbehavioral foundations to support contemporary "new growth" ideas, Scherer then supplies some foundational "bricks" concerning financial investment and human capital, and concludes by exploring the prospects for sustaining rapid growth into the next century. Copublished with the British-North American Committee

It is now widely recognized that many of the central unresolved problems in economic policy, management and research turn on questions of knowledge. Increasingly, complex firms and agencies must ask, and answer, such difficult questions as: What is knowledge? Where is it? Who has it? Does the organization lose or gain competitive advantage or effectiveness by sharing knowledge? Where can we find the knowledge we need? How can we measure knowledge? In a knowledge-based economy, these queries are integral to the pursuits of every policy maker, analyst and strategist. Knowledge Management in The Innovation Process - a joint project between Statistics Canada and Program of Research on Innovation Management and Economy (PRIME) at the University of Ottawa - brings together economic, social, measurement and policy views on these critical issues. This project fits into an ongoing research program at Statistics Canada to develop meaningful indicators for science, technology and innovation in a technology-intensive economy. It also fits into the ongoing program at PRIME to better understand technology policy and innovation strategy. This book tells the story of the dynamic interplay between knowledge and innovation with an eye to developing tools and frameworks for managing knowledge for social and economic benefit.