The automobile road to technological change : Diffusion of the automobile as a process of technological substitution

Advancement of the motor vehicle and its production methods is analyzed as a process of technological change. In a broader context, motor vehicles evolved as an integral component of road transportation through a series of interlaced substitutions of old by new technologies. Building on a large number of studies that described technological substitution processes, first it is shown how new energy forms replaced their predecessors and how the old marine-transport technologies were substituted by new ones. These examples constitute some of the oldest, empirically documented technological changes and show that many events in the dynamics of energy substitution and marine transport are related to technological changes in road transportation. It is shown that these substitution processes can be described by simple rules and that the replacement of old by new technologies in the energy and transport systems lasted about 80 years. The technological changes within road transportation, however, were more rapid. Replacement of horses by automobiles and older by newer generations of motor vehicles and production methods lasted only a few decades in the United States. Thus, technological substitutions within the road-transportation system were considerably shorter than the expansion of railroads, surfaced roads, all road vehicles together, and the more recent expansion of air transportation.     

On Clustering in the Location of R&D: Statics and Dynamics

Empirical analyses of research and development find strong evidence that these activities tend to cluster geographically. Clusters are thought to emerge from the presence of localized positive externalities. This paper presents a model of this clustering behaviour. We find that phase changes in clustering exist both as the strength of local externalities changes and as the degree of heterogeneity among firms changes. The dynamics of the system are examined as it responds to shocks to the size of the market for R&D output, and the length scale of the spatially dependent externalities. Dynamic responses take place in two distinct stages: a rapid response to the change in market systems which takes place throughout the space, with litlle regard to externality effects; followed by a slow re-agglomeration process as producers change their spatial decisions to lower the costs of the new production level.     

Forest management for timber and carbon sequestration in the presence of climate change: The case of Pinus Sylvestris

Climatic changes will affect the dynamics of a forest ecosystem. Consequently, carbon sequestration costs can only be estimated correctly if changes in climatic conditions are considered. This article determines the changes in mitigation costs of an optimal forest management regime in the presence of climatic changes and varying prices, and takes account of substitution processes between timber production and carbon sequestration at the stand level. The study demonstrates that in the presence of climate change the sequestration costs per ton of carbon increase with higher amounts of carbon sequestered per hectare. This finding can be used to identify a threshold for the amount of sequestered carbon per hectare below which the costs of carbon sequestration are hardly influenced by climate change.     

The Dynamic ‘Diamond’: A Technological Innovation Perspective

A firm's local environment can constitute a source of national or regional cornpetitive advantage. An important question, therefore, is how these environments come about and how they can be lost. In this paper, we argue that a local environment is a function of the process of technological evolution. It is a function of how certain initial and prevailing conditions, the type of innovation, and chance events, influence the processes of uncertainty resolution, capabilities building, and survivor selection that are characteristic of technological evolution. We also argue that a region can lose its advantage when a dominant design emerges or when a technological discontinuity obsoletes the localized technological capabilities of not only manufacturers, but also of their suppliers, customers and related industries. The environment is dynamic as firms and nations, in response to their performances, also influence it by changing their strategies or policies.     

Markov-perfect industrial dynamics with technological path dependence

A game-theoretic intertemporal model of industrial competition is proposed where firms choose their optimal technological strategies as part of some (Markov Perfect) equilibrium with potential entry and exit. The main novel feature of the approach is that technological change is modelled along a directed graph of technologies, which permits a rigorous consideration of key issues such as technological gaps, switching costs and gradual innovation. The paper provides some sufficient conditions for existence and ergodicity of the equilibrium, partially studies the induced population dynamics, and explores a number of other issues by means of numerical simulations.     

The effect of structural change on the self-reliance and interdependence of aggregate sectors: the case of Spain, 1980–1994

The objective of this paper is to analyse structural and technological change in the Spanish economy between 1980 and 1994 using the input–output tables of 1980, 1986, 1990 and 1994. First we obtain and compare four linkage components throughout the period for each of the nine aggregate sectors in which the industries are grouped. Second, using Structural Decomposition Analysis, we obtain a technological effect and a demand effect for each of the previous components. These pressures show that the process of the technological modernisation of the Spanish economy is strongly linked to the growth of the high- and medium-technology industries and the service industries, and the different contribution of these industries to the improvement of productivity. On the one hand, the technology industries increase productivity by using better technologies. On the other hand, the service industries do not raise it significantly and even reduce it by increasing their unit costs.     

Localized technological change and factor markets: constraints and inducements to innovation

The recent advances in the economics of innovation and the analysis of how composition effects influence the introduction of technological change in a global economy, characterized by the variety of production functions in use and different local factor markets, provide new strength to the induced innovation approach. Developing the localized technological change approach, it is argued that because there are irreversibilities, limited knowledge and local learning, the introduction of new technologies is induced by the disequilibrium conditions brought about in each system by all changes in relative factor prices. The direction of technological change in terms of its specific form of bias and how it is introduced and adopted, however, reflects the specific conditions of local factor markets. Well-defined long-term technological paths emerge in each region and they depend on the selection process in product markets. The more rigid and idiosyncratic, the endowment of production factors and the system of relative prices are, the more specific the technological path of each region is likely to be. The divide between the microeconomic and the macroeconomic models of induced technological change is reconciled.     

Technological progress and income inequality

Summary This paper examines the effects of Hicks-neutral, Harrod-neutral, and Solow-neutral technological improvements on the distribution of income in an overlapping generations economy with endogenous labor supply and a bequest motive. Income inequality in this model is generated by a stochastic process representing random variations in intergenerational transfers and pure luck. The comparative dynamics analysis trace the effects of the aforementioned technological changes in each and every period after they occur. These effects depend on the nature of the technological change and on the elasticity of substitution.We thank Carl Davidson, James Foster, and two anonymous referees for their useful comments.     

Functions of innovation systems: A new approach for analysing technological change

The central idea of this paper is that innovation systems are a very important determinant of technological change. We describe that the emergence of a new innovation system and changes in existing innovation systems co-evolve with the process of technological change. Therefore, it is necessary to create more insight in the dynamics of innovation systems. Traditional methods of innovation system analysis that mainly focus on the structure of innovation systems have proven to be insufficient. Therefore, we propose a framework that focuses on a number of processes that are highly important for well performing innovation systems. These processes are labeled as ‘functions of innovation systems’. After explaining this framework and embedding it in existing literature, we propose a method for systematically mapping those processes taking place in innovation systems and resulting in technological change. This method can be characterized as a process analysis or history event analysis. Clarifying examples are taken from the empirical field of Sustainable Technology Development.     

Democratization is the driving force for technological and economic change

The purpose of this paper is to analyze the relationship between democratization and technological innovation. In primis, the paper shows, through economic history, that democratization is an antecedent process (cause) to technological and economic change (effect). In particular, the primary finding is that democratization is a driving force for technological change: most free countries, measured with liberal, participatory, and constitutional democracy indices, have a higher level of technology than less free and more autocratic countries. In fact, “democracy richness” generates a higher rate of technological innovation with fruitful effects for the wellbeing and wealth of nations. These findings and predictions lead to the conclusion that policy makers need to be cognizant of positive associations between democratization and technological innovation paths in order to support the modern economic growth and future technological progress of countries.     

Dynamics of social factors in technological substitutions

Diffusion models of technological innovations are often based on an epidemic structure which has a good fit to historical data but whose communication assumptions lack explanatory power. They assume a simplified decision process, uniform decision criteria across adopters categories, and a fully interconnected social structure. The objective of this paper is to show that the dynamics of social factors during technological substitutions have significant effects on substitution patterns. The success of a paradigmatic shift is not only a function of technological characteristics but also depends on change agents and many social dynamics. Such complexity requires analysis at several levels of granularity. We start with cognitive processes at the individual level using concepts from cognitive psychology and decision making under uncertainty and then move to interpersonal communications at the aggregate social level. We show that population heterogeneity generates different decision criteria and a social topology which greatly affect perceptions and the formation of expectations. The structure of interpersonal networks also explains how the relevance and credibility of information impact the critical mass dynamics of technology adoption. A more complete model accounting for social interactions provides a useful framework for understanding complex substitution patterns and reducing the risk of misreading the market.     

Business Civilization in Decline

Technological change is modeled as endogenous in the sense that it is affected by economic, behavioral, and institutional variables. Technological change is especially affected by changes in relative input prices and their level, of which the price of labor is particularly important. Input prices are affected by institutional variables. Such prices also impact on the firm's efficiency, which in turn affects growth rates as well as the rate of technical change. As relative factor prices or their level increase, firms are induced to innovate or adopt extant technology to remain competitive or to maintain current profit rates. High wage firms can be expected to engage in such induced technological change, leading the growth process thereby yielding lower unit costs and increasing the level of material welfare. Relatively low wage economies can be locked into a state of economic inefficiency and laggard technological progress, especially in the long run.     

Localised Technological Change: The Interaction Between The Generation And The Diffusion Of New Technologies

The main contribution of this paper is to explore the role played by heterogeneity in supply and demand in selecting technological paths amongst many different alternatives, and in localising technological change in niches of potential adopters. Technological change is therefore inherently localised. For given levels of technological superiority, the innovations that are selected during the diffusion process are shown to be sensitive to the specificities of the production process at those points.     

Technological change in the military aircraft industry

This paper analyzes technological change in the U.S. military aircraft industry. It divides this technological change into two components, methods of production and product quality innovations. The basic findings of this paper are obtained from a comparison of the F-4 and F-15 technologies. The results show that new production technologies reduce the costs of manufacturing a weapon system, but that product improvements substantially increase costs.     

Marshallian Externalities And The Emergence And Spatial Stability Of Technological Enclaves *

Technological dualism often is found to be associated with the geographical clustering of firms that use the same techniques. To shed further light on these localization phenomena, we analyze the long-run dynamic behavior of a system in which firms' choices among alternative production methods (each of which requires a technique-specific input) are influenced by both firm-specific random shocks and Marshallian ‘industrial neighborhood’ effects. The latter are local factor market externalities that tend to lower the relative marginal costs d those inputs that are used most extensively in the immediate locale. The model developed here focuses on labor market externalities affecting the supply conditions for workers with technology-specific skills, and their effect on the choices made by producers at various sites whose choice of technique is subject to periodic revisions. A special structure familiar in the applied theory of Markov random fields, the stochastic Ising model. provides a reduced-form representation of this dynamic spatial system. The general properties of models of this type and their application in economics are considered. Discrete time numerical simulations of the behavior of an ensemble of firms (located at the nodes of a finite lattice formed on a two-dimensional (orus) shows that positive neighborhood externalities effects do not necessarily result in the uniquitous diffusion of one of the two available technologies. Instead. this system exhibits a spatially localized form of ‘technological dualism," in which at least two technological enclaves emerge and undergo path-dependent evolution. The temporal durations of these spatial patterns in technology adoption are affected by parameters of the Ising model that can be given a straightforward economic interpretation     

“The people want the fall of the regime”: Schooling,political protest,and the economy

We provide evidence that economic circumstances are a key intermediating variable for understanding the relationship between schooling and political protest. Using the World Values Survey, we find that individuals with higher levels of schooling, but whose income outcomes fall short of that predicted by their biographical characteristics, in turn display a greater propensity to engage in protest activities. We discuss a number of interpretations that are consistent with this finding, including the idea that economic conditions can affect how individuals trade off the use of their human capital between production and political activities. Our results could also reflect a link between education, “grievance”, and political protest, although we argue that this is unlikely to be the sole explanation. Separately, we show that the interaction between schooling and economic conditions matters too at the country level: Rising education levels coupled with macroeconomic weakness are associated with increased incumbent turnover, as well as subsequent pressures toward democratization.     

The sources of use knowledge: Towards integrating the dynamics of technology use and design in the articulation of societal challenges

This paper reviews three strands of the innovation literature that have presented innovation as a distributed process that combines knowledge of designers and users: user innovations, Science and Technology Studies (STS), and domestication research. These literatures have explored different aspects of the micro-processes through which use and design knowledge are locally embedded. This paper pulls together insights from the literatures, and identifies an important gap: the connections between the local embedding of use and design knowledge, and the meso dynamics of industrial and technological change. The paper then develops a number of integrating concepts and propositions for a framework to study the co-evolution of use and design in innovation processes. It also demonstrates that this framework is most valuable in researching how societal challenges become articulated over time in processes of technological change and innovation.     

On the role of intentionality in evolutionary economic change

One important challenge to evolutionary economics consists of tackling the paradoxical relationship between purposeful human action and the ‘blindness’ of evolutionary processes. We argue that the theoretical treatment of intended action is a prerequisite for venturing beyond the phenomenological explanation of evolutionary processes. If so, evolutionary processes are not (at least completely) ‘blind’. Of course, not every change in a society is a consequence of purposeful action. However, even if not every action were intended and not every novelty were the consequence of pursuing particular goals, the evolution of individual intentions and pursued goals (micro-level) is a key process in explaining economic change. In this context, an evolutionary efficiency criterion is proposed.     

Wage and price differences,technology gap and labor flow dynamics

The relationship between wage difference and relative employment is a very important issue in the field of economic structural change. An M-sector economic growth model is constructed in this paper to investigate the relationship between wage difference, price difference, technology gap, relative employment and sectoral dynamic change from the perspective of technologies. Labor flow is regarded as a decision-making behavior to maximize the benefits of economic agents. The benefits of labor flow mainly come from sectoral wage difference, and the costs of labor flow mainly come from the social resource expenditure during labor flow process. Our model illustrates that: (i) the relative employment is positively correlated with the real wage difference and technology gap; (ii) the sectoral dynamic changes coexist with the aggregate economic growth; (iii) increases in technology gap, and price and wage differences will stimulate labor migration, exacerbate the unbalanced growth of sectoral economies, and lead to faster and more effective aggregate economic growth.     

Managing technology intelligence processes in situations of radical technological change

For established companies, radical technological change is not only a challenge, but it also constitutes a major source of failure. By establishing effective technology intelligence processes, companies may react to radical trends in time which is a prerequisite for coping with technological change. Therefore, this study analyzes the technology intelligence processes in 25 multinational companies in the pharmaceutical, telecommunications equipment and automobile industries in the context of radical technological change. In the three industries, the technologies combinatorial chemistry, dense wavelength division multiplexing (DWDM) and fuel cell are used as settings to analyze these processes on the technology level against the background of the company-level perspective. By applying this complex view, which allows to take into account interactions between different organizational mechanisms and between different hierarchical levels inside a firm, three types of organizing technology intelligence processes can be identified: the participatory, the hybrid and the hierarchical technology intelligence process. The organization of the technology intelligence process according to the three types is influenced by the corporate culture and the decision-making style of the companies. Furthermore, industry differences are identified which may be explained by different rates of radical technological change in the industries. This study suggests that more complex and differentiated views on radical technological change, on corporate technology intelligence processes and on the variety of organizational structures involved in these processes are required.