Capitalism, profits and innovation in the new techno-economic paradigm

Innovative profits (of the kind conceptualized by Schumpeter) are today being increasingly created through international corporate networks for technological development. Such profits through innovation are encouraged by newer more flexible organizational forms, and further encouraged (unlike in the conventional perspective on profits and on the incentive to innovate) by knowledge flows between firms. Our empirical evidence, based on US patent data, shows that multinational companies are currently more likely to develop abroad technologies which are less science-based, and less dependent upon tacit knowledge. However, within the science-based industries firms may generate abroad some technologies which are heavily dependent on tacit knowledge, but normally in fields that lie outside their own core technological competencies. We find some evidence of a convergence in corporate technological diversification across large firms, facilitated by the now common spread in the use of information and communication technologies (ICT) as an integrator of formerly separate technological systems. This has led smaller firms to diversify, but giant firms to consolidate activity around those technologies that have become most interrelated.     

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.     

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.     

Routines and incentives in group tasks*

The artificial context “Target the Two” has been used in experiments to explore some of the features of routinization and learning. Two agents must learn to coordinate their actions to achieve a common goal, without being allowed to use verbal communication. This article reports an experiment, in which we compare the degree of routinization and the performance of players in two treatments. Each treatment submits players to the same sequence of starting configurations, but differs in terms of the payoff function. In the first treatment (A), the payoff is based on the number of moves required to achieve the goal, whereas in the second treatment (B) the payoff depends on the time required for completion. We observe that (1) in treatment B subjects tend to play in a more “routinized” way and (2) treatment B reduces the time spent on play, but does not decrease the resources (the number of moves) used, relative to treatment A.     

Knowledge of growth and the growth of knowledge

The central theme of this address is the complicated relationship between the growth of the economy and the growth of knowledge. This theme is explored with the help of a single concept “restless capitalism” which is used to capture the idea that capitalism in equilibrium is a contradiction in terms precisely because the growth of knowledge cannot be meaningfully formulated as the outcome of a constellation of equilibrating forces. This theme is explored through a discussion of growth accounting, the relationship between innovation, markets and institutions and, as an example, the development of innovation in the field of ophthalmology. We also discuss some pioneering contributions made by Simon Kuznets and Arthur Burns to the discussion of evolutionary growth. From this Schumpeterian perspective we see the economy as an ensemble not an aggregate entity and so see more clearly the importance of microdiversity in the relationship between growth of knowledge and growth of the economy.     

Variety,growth and demand

A dynamic model of demand compatible with a changing composition of the economic system is presented in this paper. Consumers are not expected to have completely formed preferences for radically new objects of consumption. Consumers adopt new goods or services ,created by innovation, only if three barriers are overcome: 1) a critical (minimum) level of income, 2) critical human capital, 3) critical fitness. However, even a new good or service with a fitness higher than that of pre-existing ones, will not be immediately adopted. Consumers'.limited knowledge will slow down the rate of adoption of any new good or service.     

On bubbling dynamics generated by a stochastic model of herd behavior

This paper suggests a class of stochastic collective learning processes exhibiting very irregular behavior. In particular, there are multimodal long run distributions. Some of these modes may vanish as the population size increases. This may be thought of as “bubbles” persistent for a finite range of population sizes but disappearing in the limit. The limit distribution proves to be a discontinuous function of parameters determining the learning process. This gives rise to another type of “bubbles”: limit outcomes corresponding to small perturbations of parameters are different. Since an agent's decision rule involves imitation of the majority choice in a random sample of other members of the population, the resulting collective dynamics exhibit “herding” or “epidemic” features. RID="*" ID="*" We are grateful to two anonymous referees for the comments and suggestions. Correspondence to: L. Gaio     

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.     

Intangible investment and human resources

To make intangibles more ‘tangible’ for empirical analysis, statistical cluster techniques are applied in the development of two new taxonomies of manufacturing industries. The first focuses on the distinction between exogenous, location dependent comparative cost advantages, such as the relative abundance of capital or labour, and endogenously created firm specific advantages resulting from intangible investments in marketing or innovation. The second taxonomy discriminates between industries according to their employment of skilled labour. Finally, econometric tests are used to investigate the presumed complementarity between intangible investments and human resources.     

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.     

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.     

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     

The determinants of pharmaceutical research and development expenditures

Since the late 1970s, pharmaceutical R&D has grown at a rapid rate relative to sales and other variables. In this paper, we examine the determinants of pharmaceutical R&D using a pooled data sample of 11 major drug firms over the period 1974 to 1994. We find that expected returns and cash flows are important explanatory variables of firm research intensities during this period. This is consistent with our results for an earlier sample period characterized by very different growth patterns on R&D.     

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.     

The role of innovation and quality change in Japanese economic growth

This paper explores the use of time series data to isolate quality change in the Japanese economy using a hedonic procedure. We argue that the traditional approach to hedonic estimation based upon panel data sets of different brands in a given product area is extremely resource intensive and, thus, unlikely to be adopted by official statistical bodies outside of key areas, such as computers. This paper adopts a “top-down” approach to see whether more traditional measures of technical change, such as patents, can be used to separate pure inflation from quality change. If this is possible, it offers a much simpler route to estimate the role of quality change in economic growth and performance. In practice, we extend the analysis not only to include patents, but other forms of intellectual property that might reflect technology and attribute changes, such as designs, utility models and trademarks. We begin by taking a longer-term historical perspective, exploring the development of indigenous inventive capacity in Japan during the early years when R&D data are not available. It is possible to show that the rise in utility models pre-dates the main growth in patenting activity, suggesting the development in more low-level indigenous creative work prior to higher level inventive activity. The principal aim of this paper, however, is to demonstrate that it is possible to develop robust models to explain changes in the producer price index in Japan, which can then be used to re-examine Japanese growth performance over the period from about 1960. If the official Japanese statistical body has fully accounted for quality change in the price indices (i.e. produced fully quality-constant price deflators), then the official estimates of growth will be correct. However, we provide strong evidence that this is not the case. Changes in quality, proxied by the IP variables, are important determinants of prices in Japan over the period 1960 to 1995 as a whole. Indeed, we provide evidence that the true rate of growth of the Japanese economy, taking into account the rate of quality change, is significantly higher than that suggested in official statistics.     

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.     

Persistent unemployment and co-ordination issues: an evolutionary perspective

Abstract. In this paper we look at unemployment as a phenomenon which reflects the co-ordination problems that characterize out-of-equilibrium processes of adjustment. The analysis carried out shifts the focus from structural factors to the economic process. It shows that unemployment cannot be satisfactorily explained – and policy interventions devised – by focusing only on specific characters of the technology or confining the analysis to structural factors concerning the labour market. The co-ordination mechanisms of adjustment processes rather than the fundamentals of the economy appear, in this light, as the main determinants of differences in unemployment trends in different economies; and monetary policy comes back to the center of the stage as an essential element of the working of these mechanisms. RID="*" ID="*" We thank anonymous referees for their very useful comments, and Elena Lega for the helpful support to the simulation analysis carried out. Correspondence to: J.-L. Gaffard     

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.     

Knowledge, consumption, and endogenous growth

In neoclassical theory, knowledge generates increasing returns – and therefore growth – because it is a public good that can be costlessly reused once created. In fact, however, much knowledge in the economy is actually tacit and not easily transmitted –and thus not an obvious source of increasing returns. Several writers have responded to this alarming circumstances by affirming hopefully that knowledge today is increasingly codified, general, and abstract – and increasingly less tacit. This paper disputes such a trend. But all is not lost: for knowledge does not have to be codified to be reused and therefore to generate economic growth.     

Determinants of the diffusion of U.S. digital telecommunications

This paper examines the diffusion of digital switches from 1983 to 1996. It expands upon the existing literature by extending the data available back an additional six years and by adding independent companies such as Frontier, SNET and Cincinnati Bell. The data (graciously provided by DataQuest) indicate that the early period of adoption, which previous papers have been unable to examine due to lack of data, is significantly different than the later period of adoption. In the early period the installed base and the ability of larger networks to internalize more of the total benefits are the primary determinants of adoption, while the distribution of population becomes important in the later period as firms finish building out their densest areas. Overall, independents adopted earlier than the RBOCs, although this difference appears to be driven by the fact that independents were still using primarily electromechanical switches in 1983, while RBOCs had already invested heavily in analog technology. The data suggest that new technologies such as internet telephony will be adopted most rapidly by newly built networks such as Qwest and Level 3.