The normal distribution as a model of technological substitution

A model for forecasting technological substitution, based on the use of the normal distribution, is presented. Both mathematical and graphical techniques are discussed. Examples from the literature are used to illustrate the model.     

Diffusion of environment-saving technological change— a petroleum refining case study

This paper attempts a theoretical model (Section I) of a dynamic relationship, brought about by environment-saving technological changes over time, between output and water pollution. The improvement in environmental quality is studied in terms of adoption of relatively environment-saving processes in petroleum refining industry. This is done (Section II) by empirically fitting the Gompertz function or the growth rates of diffusion of the processes by the use of multiple regression equations. Social desirability of substituting the relative environment-saving process is examined in terms of social benefit-cost analysis (Section III). Thereafter, (Section IV) an attempt is made to find social policy variables which could be used in order to accelerate diffusion of environment-saving processes. The analysis concludes that both “carrot” (incentives, say, in the form of accelerated depreciation allowances for purchase of environment-saving process equipment) as well as “stick” (in the form of stricter enforcement of water pollution control laws) are necessary for inducing adoption of the desired technological changes over time.     

Analysis of the Lotka-Volterra competition equations as a technological substitution model

This paper provides insight into the dynamics of the Lotka-Volterra competition (LVC) equations, a much used competition model, and compares the dynamics of LVC competitive substitution to that of several well-known substitution models. The behavior of the LVC equations is analyzed for the special case of a dominant competitor at equilibrium being replaced after the introduction of a small population of an invading competitor with a competitive advantage. Expressions are derived that describe the growth of the invading competitor and that growth is shown to be of four classes: left asymmetric, logistic, right asymmetric with 1−ε₂ asymptote and right asymmetric with γ asymptote. It is shown that the LVC model reverts to logistic substitution in a market of fixed size, a result with important implications. The LVC equations are fitted to the Gompertz, Bass, Non-Symmetrical Responding Logistic (NSRL) and Sharif-Kabir substitution models and compared using a novel graphical technique. The LVC equations can reasonably mimic the full range of curve shapes exhibited by each of these models.     

Combined forecast process: Combining scenario analysis with the technological substitution model

Forecasts can be improved by combining separate forecasts obtained by different methods. The complementary nature of the scenario analysis and technological substitution models means that combining the two can obtain improved forecasts. The former has the strength of dealing with the uncertain future, while the later offers data-based forecasts of quantifiable parameters. This study thus proposes a process for combining the scenario analysis with the technological substitution model for discussing new generation technological developments. The proposed process not only has the strengths of scenario analysis, but also contains features that scenario analysis lacks, including predicting annual developments for future years, considering old technology development, and forecasting substitution of old technologies. This study uses the forecast of the market share of Fiber to the x in Taiwan over the next ten years as an example illustrating the proposed combined forecast process.     

The Weibull distribution as a general model for forecasting technological change

This paper presents a simple and widely applicable model for technological forecasting using the Weibull distribution function. It shows the generality of the Weibull function, which can accommodate different patterns of technological change. A method for estimating parameters and some applications are presented to illustrate the usefulness of the model.     

Looking back, looking ahead: Biased technological change, substitution and the wage gap

The implications of ICT on wage inequality are studied by applying a CES production function with skilled and unskilled labour. Skill-biased technological change increases wage inequality. The result is reinforced in a two-sector general equilibrium model if the income elasticity of the demand for high-tech goods and the elasticity of substitution between final goods are larger than one.     

Forecasting technological substitution: The logistic model of energy systems revisited

A simple logistic model of market substitution has been applied to situations where price and cost parameters vary in time. In such cases the market share does not necessarily evolve as a monotonous function of time. Although this particular feature of the model has not been validated against data from past experience, it can be applied heuristically to studying future trends in market penetration. As an example, possible competition patterns of coal and nuclear power as primary fuels for electricity production have been examined under various combinations of economical parameters. The illustrative results involve both cases where the nuclear contribution would be phased out as well as those where nuclear power could still maintain a strong position a few more decades to come.     

Using precursors as leading indicators of technological change

Technological forecasters frequently utilize the procedure of “monitoring for precursors” in an attempt to anticipate technological changes. In a recent study on patterns of innovation, it was found that the data provided examples of precursors which could be used to illustrate the monitoring technique. In addition, it proved possible to extend the monitoring technique through the generation of probability distributions. The examples, and the extension, are reported here.     

The dynamic of innovation networks: a switching model on technological change

In this paper, we introduce an agent-based model where heterogeneous firms compare and modify their innovation strategies, so generating an evolving network structure. By implementing dynamic behavioral switching via a fitness mechanism based on agents’ performance, companies can endogenously modify their tactics for technological change and switch among three groups: stand-alone innovators, collaborative innovators and imitators. On the one hand, we study the properties of the emerging networks and we show that they reproduce the stylized facts of innovation networks. Moreover, we focus the analysis on the impact of these three innovation categories on the macro economic aggregate, finding that collaborative companies are those having the highest positive impact on the economic system. On the other hand, we use the model to study the effect of different economic innovation policies in increasing macroeconomic performance.     

Endogenous technological change: a note on stability

Summary. This paper demonstrates that the steady-state solution of the optimal-growth problem in Romer's (1990) model of endogenous technological change is globally saddle-point stable. Surprisingly, the proof of this result is trivial. Interest in the optimal growth path is justified by the fact that there is a (unique) combination of production and R&D subsidies by means of which the optimal growth path is attained as a market equilibrium. Received: October 6, 1998; revised version: April 19, 1999     

Functions of innovation systems as a framework to understand sustainable technological change: Empirical evidence for earlier claims

Understanding the emergence of innovation systems is recently put central in research analysing the process of technological change. Especially the key activities that are important for the build up of an innovation system receive much attention. These are labelled ‘functions of innovation systems’. This paper builds on five empirical studies, related to renewable energy technologies, to test whether the functions of innovation systems framework is a valid framework to analyse processes of technological change. We test the claim that a specific set of functions is suitable. We also test the claim made in previous publications that the interactions between system functions accelerate innovation system emergence and growth. Both claims are confirmed.     

An approach to the construction of indexes of technological change and of technological sophistication : The case of agricultural tractors

Two indicators of the output of technological innovation have been developed for the case of agricultural tractors. The tractor is a multicharacteristic product, and a fundamental problem in measuring its technological sophistication or technological change is to determine the relative weights of different characteristics. These relative weights have been approximated by the coefficients of a regression of tractor price with respect to tractor technical characteristics. The indicators developed allow one to measure technical change over time or the relative technical sophistication of different tractor models or tractor firms at a given moment. These indicators can be applied only to multicharacteristic products with easily quantifiable characteristics. However, products that satisfy these requirements account for a very large share of the market for industrial goods. These indicators can be useful in assessing the efficiency of R&D, in analyzing the influence of technological innovation on patterns of trade, and in determining the contribution of changes in the quality of capital goods employed to increases in industrial productivity.     

Transition as a process of large-scale institutional change

After several years of transition experience the theory is very poorly developed except in regard to macroeconomtc stabilization. Another key dimension of transition is institutional change to provide the organizational infrastructure for a market economy. Such issues are analysed here through a series of models focusing on: uncertainty of outcomes, complementarities and interactions between reforms, and political constraints. The choice between “big bang” and more gradualist strategies is studied under various conditions and the paper also examines specific incentive and allocative aspects of the transition from socialism to capitalism.     

Measuring intensity of technological change: The seismic approach

The abundance of typologies, within the economics of innovation, has resulted in the same name being used for different innovation types and the same innovation being classified under different typologies. The present research introduces the Scale of Innovation Intensity (SIIN) based on metataxonomy that subsumes other, less comprehensive taxonomies. The SIIN is similar to the seismic Mercalli's scale used to measure the intensity of earthquakes. The impact of technological change is measured by an indicator, called magnitude, based on the impact of technological innovations on the economic system. The theory is applied to some product and process innovations such as agricultural mechanization, aircraft technology, muffler catalytic, aluminum processing, etc. The results show that some innovations have a higher technological intensity and energy (economic impact) on well-being than others. Some concluding remarks are discussed in the final part of this research.     

The state of technological and social change: Impressions

As the long-wave theory has predicted, we are seeing a period of consolidation in which the pace of radical technological innovation seems exceeded by the pace of social change. Peter Drucker's dictum, that technology changes faster than society, appears now to have been reversed. The article offers research and anecdotal support for these assertions, linking them to specific trends and trend interactions, including patents and intellectual property litigation, new product development, and politics and revolution.     

The Innovation impact model: a tool t0 study the impact of technological change

This article shows that the builders of interorganizational information systems (IOSs) struggle most with the problem of whether to build them alone or in an alliance mode. It is suggested that the situation should be studied in the light of the transaction costs involved in the application ofthe IOS. The nature of the application to be handled through the IOS should be the main detemrlnant of IOS design. According to the study, as derived from the transaction cost approach, applications with low transaction

costs are suitable for alliance networks whereas those with high transaction costs should be constructed from an organization's own resources. A market-hierarchy/decision-maker model for determining the righi way to participate in IOSs is introduced. There is a visible trend leading to a proportionally greater use of markets. Information technology lowers transaction costs, and more and more products and services become suitable for marketing through IOSs. A case example is dmwn from the Finnish Insurance Industry, where direct writing is the dominant governance structure. The transaction costs in motor vehicle insurance are studied.     

The Innovation impact model: a tool t0 study the impact of technological change

In the spirit of the US Malcolm Baldridge Quality Award, companies try to develop a strategy towards improving their operations. These companies look for assistance in assessing how new technology will help. While literature looks at innovations from different perspectives, the impact of innovations is rarely studied. This article offers the 'Innovation Impact Model' as a tool to help companies visualize the effects of innovations on their performance and competitive situation. Three example are provided in which the Innovation Impact Model has been applied. First, the impact of basic oxygen furnaces on the national steel industries of Japan, West Germany, and the USA is examined. Second, the impact of eletric are furnaces on the development of production costs at the Atlantic Steel Plant in Atlanta is studied. Finally, it is shown how 'voluntary restraint agreements' in the early 1970s had only a tempoorary impact on improving the trade postion of the US steel industry.     

On evolutionary technological change and economic growth: Lakatos as a starting point for appraisal

This paper proposes a discussion on evolutionary technological change and economic growth theory, using the Lakatosian Methodology of Scientific Research Programmes as an appraisal criterion. Since the persistence of some inflexibility in this approach made it difficult to capture fundamental features of the scientific undertaking at hand, an alternative hypothesis was explored, that developed by Hoover (Scientific research program or tribe? A joint appraisal of Lakatos and the new classical macroeconomics. In: de Marchi N, Blaug M (eds) Appraising economic theories: studies in the methodology of research programmes. Edward Elgar, Aldershot, 1991). This latter framework is used here not as a formal methodology but rather as a language to find patterns in these theories. This exercise evolved then towards a number of considerations on the confrontation between these evolutionary theories particularly in terms of that which can be seen (in a loose sense) as their “rival research programme”, the new neoclassical growth models.