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.     

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.     

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.     

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.     

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.     

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.     

The new geography of corporate research in Information and Communications Technology (ICT)

In the new ICT-based paradigm MNCs have increasingly locationally dispersed competence-creating activities. Using patent data granted in the US to the largest European-owned electronic corporations and all the largest companies in other industries for their ICT research in the European regions, this paper investigates the regional dispersion of such research. We find that co-specialised electronic companies do not tend to develop related R&D in the same regional location, but non-electronic firms undertake related ICT development in a common centre of excellence. Thus, intra-industry competition encourages the geographical separation of co-specialised research, while inter-industry cooperation entails the co-location of related research.     

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.     

Interactive expectations

In modeling expectation formation, economic agents are usually viewed as forming expectations adaptively or in accordance with some rationality postulate. We offer an alternative nonlinear model where agents exchange their opinions and information with each other. Such a model yields multiple equilibria, or attracting distributions, that are persistent but subject to sudden large jumps. Using German Federal Statistical Office economic indicators and German IFO Poll expectational data, we show that this kind of model performs well in simulation experiments. Focusing upon producers' expectations in the consumption goods sector, we also discover evidence that structural change in the interactive process occurred over the period of investigation (1970–1998). Specifically, interactions in expectation formation seem to have become less important over time. RID="*" ID="*"We would like to thank Ulrich Witt, Director of the Evolutionary Economics Unit, The Max Planck Institute for Research into Economic Systems, Jena, Germany, for providing the intellectual stimulus for this project and arranging the necessary financial support from the Max Planck Society to facilitate our collaboration. Thanks are also due to the IFO Institute for providing the data for this study. However, the usual caveat applies.     

Technology transfer in United States universities

This paper examines the role of offices of technology transfer (OTT) in 12 U.S. universities in 1998 in commercializing research results in the form of patents, licenses, and start-ups of new companies. We study the organization and place of OTTs within the university structure, the process of technology transfer, and the staffing and funding of the office. Data were collected through a mail questionnaire followed up through telephone interviews. We also conducted a statistical analysis of data for 170 U.S. universities, hospitals, and research institutes for the period 1991–1996. Our findings suggest that technology transfer from universities to the commercial sector needs to be understood in its broader context. The primary purpose of a technology transfer program is for the university to assist its researchers in disseminating research results for the public good. Success in this endeavor is only partially reflected in income generated for the university or the number of business start-ups. The degree of success depends not only on the nature of the interface between the university and the business community but also on the receptivity in the surrounding community as well as the culture, organization, and incentives within the universities themselves.     

The learning economy and embodied knowledge flows in Great Britain

This paper examines the `learning economy' from the perspective of occupational characteristics and changes in the British labour market between 1980 and 1992. Following a discussion of the learning and knowledge economy, cross-sectional employment data are analysed to ascertain which occupations can be classified as knowledge-based. Longitudinal career history data are then used to trace the flows of these `knowledge workers' over time. Sectoral shifts are examined, with a particular focus on the knowledge-intensive service sectors. The data come from the Employment in Britain survey: a large-scale employee survey from 1992. The approach used allows us to measure somewhat intangible aspects of economic behaviour such as learning and tacit knowledge and attempt to trace their flows. Shifts in knowledge from the manufacturing to the service sector are shown to be important and related to previous work which demonstrated the importance of knowledge intensive business services for both output and productivity in manufacturing.     

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.     

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.     

Relative backwardness and technology catching up with scale effects

Controlling for capital accumulation from per capita income growth, this paper shows robust scale effects on total factor productivity growth. The estimated speeds of technology catching up are around 2 percent per year. In addition, the empirical analysis confirms the catching up theory, in which the initial relative backwardness and policy variables conducive to technology adoption are statistically significant. RID="*" ID="*" This is a revised part of Ph.D. thesis at Stanford University. I would like to thank the committee members, Charles I. Jones, Anne O. Krueger, and Paul Romer as well as Ronald Findlay, Ronald I. Mckinnon, Yasuyuki Sawada, Robert Sinclair, a referee and seminar participants at Stanford University, the Pacific Rim Allied Economic Organizations Conference, the East Asian Economic Association Conference, and the 8th World Congress.     

Debt, growth and inflation in large European economies: a vector auto-regression analysis

This paper attempts to empirically test the hypothesis that whether debt matters in the EU. This has been performed by examining the potential adverse effects of debt in large European economies on investment, inflation and growth. Using the hybrid cointegration and vector autoregressive models, the findings, based on the period 1970–97, suggest that debt causes significant adverse effects on investment, but its impact on growth is not clear-cut. Moreover, debt appears to be inflationary in most cases in the long run, though produces no clear short run pattern on inflation.     

Adoption of conservation tillage in Australian cropping regions: An application of duration analysis

The diffusion of agricultural innovations is rarely rapid. As a result, adoption decisions over time are very likely to be influenced by changes in generic factors such as the price of complementary inputs and environmental conditions. Despite this, the vast majority of studies aiming to explain innovation adoption are limited to cross-sectional data and analysis techniques that cannot accommodate time-dependent variables. This study departs from these attempts by using a duration analysis technique to investigate the significance of time-dependent economic and environmental variables, along with cross-sectional variables such as technology-specific perceptions, on the adoption of soil-conserving cropping practices by grain growers in southern Australia over the period 1983–2003. Of particular interest is the possible trade-off faced by farmers where adoption of no-tillage cropping technology can lead to greater herbicide reliance and subsequently unsustainable weed management due to high risks of herbicide resistance. Results show that factors affecting the cost-effectiveness of herbicides are important in the adoption of the erosion-reducing cropping systems. Several factors relating to the availability and use of technical information are also shown to be influential. The duration analysis approach allowed changes in time-dependent variables, including the fall in the price of the herbicide glyphosate, to be identified as determinants of the timing of no-till adoption.     

Religion and economic growth: was Weber right?

Evidence of falling wages in Catholic cities and rising wages in Protestant cities between 1500 and 1750, during the spread of literacy in the vernacular, is inconsistent with most theoretical models of economic growth. In The Protestant Ethic, Weber suggested an alternative explanation based on culture. Here, a theoretical model confirms that a small change in the subjective cost of cooperating with strangers can generate a profound transformation in trading networks. In explaining urban growth in early-modern Europe, specifications compatible with human-capital versions of the neoclassical model and endogenous-growth theory are rejected in favor of a “small-world” formulation based on the Weber thesis.     

Could institutional reform have saved Easter Island?

This paper extends the Brander and Taylor general-equilibrium model of population and resource management dynamics to a variety of institutional settings. The authors simulate the economic history of Easter Island, modifying the model to examine the impact of market institutions and different property-rights structures. The major finding of the paper is that modification of the economic institutions on Easter Island could have damped the feast-and-famine cycles that plagued its later history.     

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.     

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.