The evolutionary and non-Darwinian economics of Joseph Schumpeter

In a recent paper, Matthias Kelm (1997) accepts that `Schumpeter's definition of evolution does not contain any Darwinian mechanism such as natural selection or any other biological concept' and that Schumpeter `made no such attempt' to apply `Darwinian theory to economic evolution'. However, Kelm goes on to argue that Schumpeter would have been a Darwinian if circumstances were different. It is argued here that this contention is highly implausible because Schumpeter explicitly rejected biological metaphors and analogies in economics. Furthermore, Schumpeter misunderstood Darwinism. In his attempt to `interpret' Schumpeter as a Darwinian, Kelm himself misrepresents the three core principles of Darwinism. In addition Kelm's paper contains several misunderstandings and misrepresentations of the assessment of Schumpeter made by Hodgson (1993). This present response concludes that Schumpeter was indeed one of the greatest economists of the twentieth century and that he may legitimately be described as an `evolutionary economist'. However, he cautioned strongly against the use of biological metaphors in economics and there is no legitimate basis for describing his approach as Darwinian.     

Evolutionary economics and economic geography

This article attempts to explore how key notions from Evolutionary Economics, such as selection, path-dependency, chance and increasing returns, may be applied to two key topics in Economic Geography. The first issue is the problem of how to specify the (potential) impact of the spatial environment on new variety in terms of technological change. Evolutionary thinking may be useful to describe and explain: (1) the process of localized `collective' learning in a regional context, (2) the adjustment problems that regions may be confronted with in a world of increasing variation, and (3) the spatial formation of newly emerging industries as an evolutionary process, in which the spatial connotation of increasing returns (that is, agglomeration economies) may result in a spatial lock-in. The second issue is the problem of how new variety may affect the long-term evolution of the spatial system. We distinguish three approaches that, each in a different way, apply evolutionary notions to the nature of spatial evolution. This is strongly related to the issue whether mechanisms of chance and increasing returns, rather than selection and path-dependency, lay at the root of the spatial evolution of new technology.     

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     

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 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.     

Optimal freeware quality in the presence of network externalities: an evolutionary game theoretical approach

New software products often face difficulty in achieving market penetration. A potential remedy is to offer a freeware version of the software to encourage initial adoption and establish a larger user base for the software, thereby increasing the commercial version's value to adopters in future periods. However, to avoid complete cannibalization of the commercial version, the freeware version's quality must be sufficiently low and the price of the commercial version must not be too high. We model the effect of these two decision variables, price and freeware quality, on the adoption of software using static and evolutionary game theory.     

Regulation of the evolution of the architecture of a network by tensors operating on coalitions of actors

Socio-economic networks, neural networks and genetic networks describe collective phenomena through constraints relating actions of several actors, coalitions of these actors and multilinear connectionist operators acting on the set of actions of each coalition. We provide a class of control systems governing the evolution of actions, coalitions and multilinear connectionist operators under which the architecture of the network remains viable. The controls are the “viability multipliers” of the “resource space” in which the constraints are defined. They are involved as “tensor products” of the actions of the coalitions and the viability multiplier, allowing us to encapsulate in this dynamical and multilinear framework the concept of Hebbian learning rules in neural networks in the form of “multi-Hebbian” dynamics in the evolution of connectionist operators. They are also involved in the evolution of coalitions through the “cost” of the constraints under the viability multiplier regarded as a price.     

Barriers to knowledge spillovers and regional convergence in an evolutionary model

This paper will present a multi-region/multi-country model in which inter-regional knowledge spillovers determine the growth of regions. Key parameters in the model are the learning capability of a region and the rate of knowledge generation (R&D). The intensity of spillovers depends on geographical distance between regions. The model is investigated by means of simulation techniques. What results is a core-periphery situation, the exact form of which depends on the assumed spatial structure. The impact of economic integration is investigated by introducing barriers-to-knowledge-spillovers in the model in the form of borders between countries. Contrary to the popular belief and some economic theories, we find that removing such spillover barriers may result in larger disparity of income levels between regions.     

Economic policy making in evolutionary perspective

Economic policy making is discussed from three different angles: the political economy of actual policy making (“what policy does do”), the analysis of policy instruments for given ends (“what policy could do”), and the debate on policy goals and their legitimization (“what policy ought to do”). Center stage in the evolutionary perspective is new, positive and normative knowledge which is unfolding during the policy making process and in its aftermath. It is argued that this implies regularities and constraints which extend and modify the comparative-static interpretations of public choice theory, economic policy making theory, and social philosophy. RID="*" ID="*" The author should like to thank three anonymous referees of this journal and the editor for helpful comments on an earlier version of the paper.     

Capitalism and democracy in the 21st Century: from the managed to the entrepreneurial economy*

 This paper explains how and why the developed countries are undergoing a fundamental shift away from a managed economy and towards an entrepreneurial economy. This shift is shaping the development of western capitalism and has triggered a shift in government policies away from constraining the freedom of business to contract through regulation, public ownership and antitrust towards a new set of enabling policies which foster the creation and commercialization of new knowledge. The empirical evidence from a cross-section of countries over time suggests that those countries that have experienced a greater shift from the managed to the entrepreneurial economy have had lower levels of unemployment.     

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 `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.     

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 introduction to evolutionary theories in economics

This paper presents the basic ideas and methodologies of a set of contemporary contributions which are grouped under the general heading of evolutionary economics. Some achievements-especially with regard to the analysis of technological change and economic dynamics-are illustrated, some unresolved issues are discussed and a few promising topics of research are flagged.This article draws on a chapter prepared for the book Market and Organization: The Competitive Firm and its Environment, edited within an EEC/Tempus Programme by LATAPSES, Nice, France, and Iside, Rome.     

A resource-based view of Schumpeterian economic dynamics

This paper seeks to offer a theoretical platform where the modern “resource-based view” of the firm might meet with evolutionary economics and the study of entrepreneurship, and with the economics of industrial organization. It does so by proposing the concept of the “resource economy” within which productive resources are produced and exchanged between firms. This is presented as the dual of the mainstream goods and services economy – where the “resource economy” captures the dynamic capital structure of the economy. The paper is concerned to bring out the distinctive principles governing resource dynamics in the resource economy, capturing competitive dynamics in such categories as resource creation, replication, propagation, exchange and leverage; evolutionary dynamics in terms of resource variation, selection and retention; entrepreneurial dynamics in terms of resource recombination and resource imitation, transfer and substitution; and industrial organizational dynamics in terms of resource configuration, resource complementarities and resource trajectories.     

Convergences with Schumpeter: An essay Hirschman has yet to write

The paper explores the contributions of Joseph Schumpeter and Albert Hirschman to our understanding of the dynamics of modern democratic capitalist economies and suggests that much of their respective work displays intellectual overlap and complementarity. It is primarily focused upon the role of economic and political processes as forces of change and adjustment and the necessary degree of built-in inertia required to permit orderly rather than chaotic responses.     

Uncertainty and the size distribution of rewards from innovation

 Previous research has shown that the distribution of profit outcomes from technological innovations is highly skew. This paper builds upon those detailed findings to ask: what stochastic processes can plausibly be inferred to have generated the observed distributions? After reviewing the evidence, this paper reports on several stochastic model simulations, including a pure Gibrat random walk with monthly changes approximating those observed for high-technology startup company stocks and a more richly specified model blending internal and external market uncertainties. The most highly specified simulations suggest that the set of profit potentials tapped by innovators is itself skew-distributed and that the number of entrants into innovation races is more likely to be independent of market size than stochastically dependent upon it.