What is the systems perspective to Innovation and Technology Policy(ITP) and how can we apply it to developing and newly industrialized economies?

Despite recent advances in the Evolutionary and Systems Perspectives to Economic Change (SI), confusion still exists about how to apply it to the design and implementation of Innovation & Technology Policy (ITP) in concrete settings. Since the ‘Normative’ aspects of SI are framed in terms so general to make them insufficient or inadequate as guides and tools for actual policymaking, a presumption exists that additional theoretical and conceptual knowledge is required. Thus a major objective of this paper is to contribute to the development of a realistic and ‘grounded’ theoretical framework for Technology and Innovation Policy which is particularly relevant both for the promotion of Business Sector R&D and of hi tech (especially IT) industries in Top Tier and other Industrializing Economies. A second objective is to contribute directly to the capability of successfully applying this conceptual framework in concrete policy settings. Rather than justifying ITP the paper focuses on characterising and applying “Salient Normative Principles or Themes” of the SI perspective to ITP. Several concrete examples are given and the notions of Policy Process, (Country) Program Portfolio Profile and Policy Environment are introduced.     

Stable partitions in a model with group-dependent feasible sets

Summary. In this paper we consider a model of group formation where group of individuals may have different feasible sets. We focus on two polar cases, increasing returns, when the set of feasible alternatives increases if a new member joins the group, and decreasing returns, when a new member has an opposite effect and reduces the number of alternatives available for the enlarged group. We examine two notions, stability and strong stability of group structures, that correspond to Nash and Strong Nash equilibrium of the associated non-cooperative game, and identify the classes of stable and strongly stable environments.Received: 29 June 2003, Revised: 17 February 2004, JEL Classification Numbers: C71, C72, D62, D71.The previos version of this paper has been written while the second author was visiting the Technical University of Dresden. He wishes to thank the Alexander von Humboldt Foundation for its generous support and the Technical University of Dresden for its hospitality. The authors are grateful to an anonymous referee for useful comments.     

Beyond natural selection and divine intervention: The Lamarckian implication of Adam Smith's invisible hand

Adam Smith's invisible hand metaphor (IH) is examined in light of two different accounts of the origin of traits: Charles Darwin's theory of evolutionary optimization and William Paley's theory of divine intervention. Smith's stand supersedes both accounts. For Smith, intermediating drives, such as the sexual one, neither arise accidentally and favored according to their fitness à la Darwin nor planted by the Deity à la Paley. For Smith, such drives are adopted in light of their ultimate end. Smith did not provide an account of how the drives are connected to their far-reaching, invisible beneficial ends or why do agents become dimly aware of that causality.     

Capitalism and democracy at a crossroads: the civilizational dimension

This paper evaluates Schumpeter's grand vision as reflected in his Capitalism, Socialism and Democracy, and elaborates it in conjunction with the so-called “globalization” trends characteristic of the wake of the twenty-first century. In addition to the evolutionary nature of his methodology, the institutionalist dimension of Schumpeter's definitions are brought to light. A case is made for a fundamental process of “uncreative destruction” as far as the institutional setup of the economy is concerned. The contention of this paper is that there is ample support in Schumpeterian analysis for a counterpoint to the liberal thesis that envisages the worldwide spread of individualism, market economies, and democratic forms of government.     

Competitive selection, self-organisation and Joseph A. Schumpeter

Post-Schumpeterians have tended to use biological analogies to understand economic evolution, in contrast to Schumpeter himself. In this paper it is argued that the biological analogies used tend to be outdated and that Schumpeter espoused an intuitive understanding of the evolutionary economic process that is closely related to modern conceptions of self-organisation, suitably adapted for application in socioeconomic systems. Using a self-organisation approach, competition can be understood without recourse to biological analogy, in terms of general systemic principles that operate in the presence of variety. Viewing economic evolution in terms of complex adaptation in self-organising systems yields nonequilibrium and nonlinear perspectives that parallel Schumpeter's own intuitions, reinvigorating them as the basis of evolutionary economic thinking in the new Millennium.     

Schumpeter and the `Schmollerprogramm': integrating theory and history in the analysis of economic development

This essay addresses the historical and institutional aspects of Schumpeter's thought. It suggests that Schumpeter prepared a pluralist research agenda, formulated in accordance with the conceptual perspective of the German Historical School, as presented by major scholars such as Schmoller, Sombart, Spiethoff and Max Weber. Schumpeter's notion of development, with its emphasis on the correspondence of economic and socio-cultural evolution, is therefore to be viewed in the context of the comprehensive Schmollerian approach. Moreover the ethical-evolutionary components of Schmoller's ideas point at the vital role of the German Historical School in the elaboration of a modern evolutionary economics in Schumpeterian terms. The essay concludes that the Schmollerprogramm is going to inspire further developments in Schumpeterian economics, as the integration of theory and history continuously marks the research agenda of evolutionary approaches to economic development.     

Evolution of harvesting strategies: replicator and resource dynamics

Abstract. Economic theories of managing renewable resources, such as fisheries and forestry, traditionally assume that individual harvesters are perfectly rational and thus able to compute the harvesting strategy that maximizes their discounted profits. The current paper presents an alternative approach based on bounded rationality and evolutionary mechanisms. It is assumed that individual harvesters face a choice between two harvesting strategies. The evolution of the distribution of strategies in the population is modeled through a replicator dynamics equation. The latter captures the idea that strategies yielding above average profits are demanded more than strategies yielding below average profits, so that the first type ends up accounting for a larger part in the population. From a mathematical perspective, the combination of resource and evolutionary processes leads to complex dynamics. The paper presents the existence and stability conditions for each steady-state of the system and analyzes dynamic paths to the equilibrium. In addition, effects of changes in prices are analyzed. A main result of the paper is that under certain conditions both strategies can survive in the long-run. Correspondence to: J. Noailly     

The power of ESS: An experimental study

Abstract. Our experimental design mimics a traditional evolutionary game framework where players are matched pairwise to play a symmetric 33 bimatrix game that has two Nash equilibria. One equilibrium is an evolutionary stable state, or ESS; the other is an equilibrium in dominated strategies. Our primary experimental result is the observation that the ESS becomes extremely attractive when subjects have minimal information about the payoff functions, although the dominated equilibrium assures the highest equilibrium payoff. The attractiveness of the ESS is only moderate when players are completely informed about the 33 payoff matrix. Correspondence to: S.K. Berninghaus     

Schumpeter and the revival of evolutionary economics: an appraisal of the literature

During the last two decades we have seen a revival of interest in the works of Joseph Schumpeter and “evolutionary” ideas in economics more generally. A professional society honouring Schumpeter's name has been founded, and linked to it we have had for more than fifteen years now a professional journal devoted to this stream of thought. However, it has been argued that, despite these developments, the link between Schumpeter's own work and the more recent contributions to evolutionary economics is in fact rather weak. This paper considers this claim. Based on an analysis of Schumpeter's contribution to economics the paper presents an overview and assessment of the more recent literature in this area. It is argued that although there are important differences between Schumpeter's work and some of the more recent contributions, there nevertheless remains a strong common core that clearly distinguishes the evolutionary stream from other approaches (such as, for instance, so-called “new growth theory”). RID="*" ID="*" Many people have contributed to this paper in various ways. Jon Hekland at the Norwegian Research Council started it all by asking me to make an overview of the contribution from “evolutionary economics” to our understanding of contemporary economies. Several people helped me on the way by supplying written material, comments and suggestions, and I am indebted to all of them. Brian Arthur, Stan Metcalfe, Keith Pavitt, Erik Reinert, Paolo Saviotti and Bart Verspagen may be particularly mentioned. A preliminary version was presented at the conference “Industrial R&D and Innovation Policy Learning – Evolutionary Perspectives and New Methods for Impact Assessment” organised by the Norwegian Research Council (“SAKI”) at Leangkollen, Asker, April 18–19.2002. I wish to thank the discussant, Tor Jakob Klette, and the participants at the conference for useful feedback. Moreover I have benefited from comments and suggestions from the editors and referees of this journal. The final responsibility is mine, however. Economic support from the Norwegian Research Council (“SAKI”) is gratefully acknowledged.     

Capitalism and democracy in the 21st century: a Kaleckian interpretation of a Schumpeterian problem

The paper reinterprets Schumpeter's views on the dynamic effects of taxation, as originally expressed in Crisis of the Tax State, from a Kaleckian perspective. In light of Schumpeter's rejection of Keynesian and Marshallian approaches to taxation, the paper argues that a recently developed Kaleckian approach provides an appropriate basis from which to analyse the effects on the business cycle of balanced changes in the structure of taxation. It is shown that, under certain shifting assumptions, increases in the taxation of wages or profits will stimulate investment and attenuate the amplitude of the business cycle. Ultimately, the shifting of taxes reduces to a conflict over income shares. The changing distribution of income in the United Kingdom in recent years suggests that investment is likely to remain sluggish unless there is a significant reversal of income shares. This may give rise to increasing economic and political tensions into the 21st century.     

Darwinism in economics: from analogy to ontology

Several social scientists, including ‘evolutionary economists’, have expressed scepticism of ‘biological analogies’ and rejected the application of ‘Darwinism’ to socio-economic evolution. Among this group, some have argued that self-organisation is an alternative to biological analogies or Darwinism. Others have seen ‘artificial selection’ as an alternative to natural selection in the socio-economic sphere. Another objection is that Darwinism excludes human intentionality. It is shown that all these objections to ‘biological analogies’ and ‘Darwinism’ are ungrounded. Furthermore, Darwinism includes a broad theoretical framework for the analysis of the evolution of all open, complex systems, including socio-economic systems. Finally and crucially, Darwinism also involves a basic philosophical commitment to detailed, cumulative, causal explanations. For these reasons, Darwinism is fully relevant for economics and an adequate evolutionary economics must be Darwinian, at least in these fundamental senses. However, this does not undermine the need for auxiliary theories and explanations in the economic domain.     

The hunt for S-shaped growth paths in technological innovation: a patent study*

Since the works by the business cycle theorists in the 1930s, no attempts have been made to study empirically the long term evolution paths of individual technologies starting with long time series. This is an empirical exploration and confirmation of the now almost assumed image or metaphor of the way technology develops; that it follows an S-shaped growth path which is commonly associated with a similar shaped diffusion function of entrepreneurial activity. The paper also confirms the diversity of technology dynamics and explores how technological cycle takeoffs appear to be clustered within certain historical epochs. The results have implications for our understanding of the evolution paths of individual technologies, and of the evolution of technological systems and waves of innovation. By use of computational statistics, logistic growth functions are fitted to US patent stocks, 1920–1990, at a detailed level of aggregation, including chemical, electrical/electronic, mechanical, transport and non-industrial technologies. Some practical considerations when developing an empirically testable model of innovation cycles are addressed in the paper as well.     

Reflections on the perspectives of the global economy from the point of view of emerging economies

 Recently a number of emerging economies, with high inflation and various kinds of imbalances have experienced what has come to be referred to as dollarization– the phenomenon of currency substitution where the dollar gradually replaces the national currency in the performance of its fundamental functions. The phenomenon is most commonly encountered as a component of the exchange-rate-based stabilization programs implemented in a number of emerging economies in Latin America, Asia and the Middle East. The fundamental issue we want to explore is whether this process forces the monetary authorities of emerging economies to act with their hands tied, as if caught in a trap. It is argued that when the expansion of liquidity and domestic credit is determined by the quantity of foreign-exchange reserves, an independent monetary policy vanishes and national sovereignty itself is shackled. Since this scenario typically occurs in a world of increasing globalization of finance, this paper also discusses (with reference to emerging economies) the risks and implications of capital inflows for macroeconomic policy autonomy, economic instability, and vulnerability to external shocks.     

Knowledge and markets

An economy is a coordinated system of distributed knowledge. Economic evolution occurs as knowledge grows and the structure of the system changes. This paper is about the role of markets in this process. Traditionally, the theory of markets has not been a central feature of evolutionary economics. This seems to be due to the orthodox view of markets as information-processing mechanisms for finding equilibria. But in economic evolution markets are actually knowledge-structuring mechanisms. What then is the relation between knowledge, information, markets and mechanisms? I argue that an evolutionary theory of markets, in the manner of Loasby (1999), requires a clear formulation of these relations. I suggest that a conception of knowledge and markets in terms of a graphical theory of complex systems furnishes precisely this.     

A close eye on the invisible hand

The paper shows how, and under what minimal information supply conditions, a market finds its competitive equilibrium price and thus solves the so-called tatonnement process, without sellers and buyers knowing the equilibrium price in advance. The information premises must be understood as a basic first approach, and do not necessarily mimic the real market process. Demonstration of a discovery process under these information handling conditions is an important finding for an evolutionary market theory. Additional information-processing elements should augment the efficiency of the discovery process. The results of the simulated market process set out above raise new questions. The role of institutional elements (such as the relevance of demand flexibility or “certainty” of knowledge in the learning process, etc.) is discussed further outside the context of the simulation model, providing new insight into the market process.     

Quantitative growth effects of subsidies in a search theoretic R&D model

Should government subsidize R&D and does it matter how these subsidies are allocated? We examine these questions in a dynamic model where R&D is described as sequential sampling from a distribution of new ideas. Successful discoveries affect future available resources and incentives for further R&D. Consequently, there may be under-investment in R&D. We study the effect of government interventions aimed at fostering growth through R&D. Calibrating the model with aggregate data from the Israeli business sector allows us to quantitatively compare two forms of support resembling those actually used to encourage R&D in the Israeli business sector: (i) an unrestricted subsidy that may be used at the recipients' discretion to finance R&D or other investments, (ii) a subsidy earmarked by the government for R&D activities only. While there is no theoretical way to determine which of the two subsidies will have a greater impact on search for new ideas and growth, we find that in the calibrated economy both subsidies have a significant but similar impact on the economy's output and TFP growth rates. Accordingly, in the case of the Israeli business sector, the incentives to conduct R&D were sufficiently strong, and no R&D-specific encouragement was needed. However, a sensitivity analysis reveals that for economies characterized by other parameter values this result may not be true. Correspondence to: B. Bental     

Endogenous fluctuations in the demand for education

Abstract. Enrollment rates to higher education reveal a quite large variation over time which cannot be explained by productivity shocks alone. We develop a human capital investment model in an overlapping generations framework that features endogenous fluctuations in the demand for education. Agents are heterogeneous in their beliefs about future wage differentials. An evolutionary competition between the heterogeneous beliefs determines the fraction of the newborn generation having a certain belief. Costly access to information on the returns to education induces agents to use potentially destabilizing backward looking prediction rules. Only if previous generations experience regret about their human capital investment decisions, will agents choose a more sophisticated prediction rule that dampens the cycle. Access to information becomes key for stable flows to higher education. RID="*" ID="*"We would like to thank Cars Hommes, Florian Wagener, seminar participants at the University of Amsterdam, participants of the workshop on ‘Skill Needs and Labor Market Dynamics’ at the Wissenschaftszentrum Berlin für Sozialforschung (WZB) for helpful discussions, and an editor of this Journal and three anonymous referees for their comments. Tuinstra's research is supported by the Netherlands Organisation for Scientific Research (NWO) under a MaG-Pionier grant. Neugart acknowledges financial support from the German Ministry of Education. Parts of the research were done while Tuinstra was visiting the WZB and when Neugart was visiting CeNDEF. Correspondence to: The research for this paper was done while the first author was affiliated with the Wissenschaftszentrum Berlin für Sozialforschung.     

An evolutionary model of the size distribution of firms

An analytical study of the evolution of the distribution of firm size in an industry is presented. A drift-diffusion model is proposed to express the time-evolution of density of firm size within the industry. The model blends the conventional, more or less static, determinants with the kinds of dynamic considerations introduced by stochastic processes of evolutionary dynamics. The steady-state distribution as well as the dynamic behavior of the model are derived. Parameters in the resulting analytical expressions are then fit to a population of firms in the non-manufacturing service sector. The empirical portion of the paper validates the proposed evolutionary model.     

Modelling research and development: How do firms solve design problems?

One way of thinking about research and development is to recognise that firms are trying to solve particular design problems. We often build these design problems into our models, but are forced to oversimplify them in order to make the models solvable. The approach taken in this paper is to acknowledge that design problems are often insoluble using standard techniques and to model instead the process by which firms solve them. Two such processes are simulated in detail. The first, individual experimental search, is based on a problem-solving technique known as simulated annealing. The second, partial imitation, involves learning at a social level and is based on a problem-solving technique known as the genetic algorithm. Some economic implications of these processes are explored, including their application to stochastic learning curves, patent design and the importance of `technodiversity' in the introduction of new technology to developing countries.