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2020, Journal of Evolutionary Economics
Technological evolution is widely thought to be the primary process that brings about economic growth. It is one of the main targets of evolutionary economics, but how technological change induces economic growth has remained unexplained. Based on the new theory of value, this paper explains how technological change leads to long-run improvement in real wage rates and income per capita. Section 2 gives a brief overview of the new theory and presents two theorems (minimal price and the convergence theorem) that afford the basis of analyses in Sections 4 and 5. Before these, Section 3 compares two price systems, traditional and new, and compares efficiency from two points of view. Traditionally economics with equilibrium has been concerned with those conditions that provide allocative efficiency. However, technological evolution comprises a series of half-blind selections of 'better' production techniques and exhibits another kind of efficiency that can be named dynamic efficiency. The latter is more important than the former. Allocative efficiency is self-destructive, while dynamic efficiency is cumulative in its effects. Section 4 shows how technological change works cumulatively and how it leads to real wage increases and income per capita. Section 5 shows that the new theory can explain the emergence and growth of global value supply chains as a part of technology choice arising through international trade. This paper is mainly focused on supply-side theory, while problems concerning the demand side are considered in Section 6. Section 7 concludes.
Procedia - Social and Behavioral Sciences, 2015
In a globalizing world economy, the reason for differences in economic growth and inter-country income inequality is explained on the grounds of technological differences. The goal of science and technology is to enable enterprises and individuals to use technologies more efficiently, as this results in reduced costs and enhanced productivity gains. The use of new technologies paves the way for production of new cheaper goods and for capital accumulation and, for that matter, for an enhanced international competitiveness of individual countries, as well as to an enhanced quality for scientific research institutions, while, on the other hand, contributing to cultural and political development of societies. The quality of growth rates is as much important as their size. One may ask the following questions in order to get a better understanding of whether growth has its reflections on people's life or not: Are people involved and included in growth process? Does everybody enjoy the opportunities driven by growth? Do new technologies or trade volumes increase the choices facing people? Is welfare level of the future generations planned? Or, else, who is cared about is today's generations only? Are markets accessible and open to everybody?
Scottish Journal of Political Economy, 1989
Economic Themes, 2016
The aim of the research in this paper is to analyse the issue of the treatment of the category of technological changes within the main aspects of economic growth theory. The analysis of the key positions of neoclassical theory (Solow), endogenous approach (Romer), and evolutionary growth theory (Freeman) advocates has pointed to the conclusion that these approaches agree on the fact that the category of technological changes is a key generator of economic growth. Neoclassicists were the first to explicitly analyse the category of technological changes in growth theory. They exerted a strong influence on a large number of governments to allocate significant funds for scientific and research development, to stimulate the creation and diffusion of innovation. Supporters of endogenous theory also see the category of technological changes as a key driver of economic growth. Unlike neoclassicists, they emphasise the importance of externalities, in the form of technological spillover and ...
Technological Forecasting and Social Change, 2001
Over the last two decades, dissatisfaction with the traditional Solow-Swan model of economic growth resulted in two new classes of models of economic growth and technological change: neo-classical endogenous growth models, and evolutionary growth models. The first class of models has been labeled endogenous, because of its key feature of endogenizing technological change. The second class of models endogenizes technological change as well, but according to an evolutionary view on economic growth and technological change. In this paper we discuss the insights from both the neo-classical and the evolutionary perspectives. It is argued that in evolutionary models technological and behavioral diversity, uncertainty, path dependency, and irreversibility are elaborated in a more sophisticated and explicit way than in neo-classical growth models. However, this level of microeconomic diversity comes at a certain price. Due to the complexity of the models, which preclude analytical tractability, the mechanisms behind the aggregate dynamics are not always clearly exposed. In addition, it will be argued that the neo-classical and the evolutionary approach are converging in the Schumpeterian framework. The latter framework is developed in both classes of models as a means for theorizing on technological change. A challenging task for further research is to combine the fruitful insights of both the neo-classical and the evolutionary approach to improve our understanding of complex processes of technological change in relation to other micro-and macroeconomic processes. D
Erkenntnis, 1989
Economic analysis has given rise to several conflicting accounts of technology and of the rate and directions of technological change. In this paper we examine some of the contrasting images of technology that have arisen in economics and we discuss some of the conceptual and methodological questions connected with the study of technological change (TC for short). We argue for a microeconomic approach in which TC is considered against the background of industrial, institutional and market structures. But we suggest that attempts to introduce into this framework cognitive models of scientific progress are doomed to failure, because of the fundamental differences between scientific and technological knowledge and the basic disanalogies between TC and scientific progress. In particular, we argue that the efforts of and others to treat technology and TC in a Kuhnian framework, by applying notions like technological paradigm, normal technology, and technological revolution, are misleading. By contrast, we hold that, given the influence of economic markets, industrial and institutional structures on the development of technology, it is more plausible to regard TC as a continuous and incremental process, rather than as suffering Kuhnian crises and revolutions. The paper is organised as follows. Section 1 introduces some basic concepts needed for the analysis of technological change. Section 2 contains some general remarks on technology in economics and reviews some of the main macroeconomic growth theories. In Section 3, we turn towards the more 'applied' perspective of microeconomic analysis, within the theory of the firm and industrial organisation, with emphasis on the recent work of Nelson and Winter (e.g., 1982). In Section 4 we deal with the conceptual relations between science and technology and the general question of the applicability of Kuhn's model of scientific change to TC. This serves as a basis for examining in Section 5 Dosi's approach to TC which embeds elements of Erkenntnis 30 (1989) 101-127. O 1989 by Kluwer Academic Publishers. M. R. DI NUCC1 PEARCE AND D. PEARCE microeconomic analysis within a Kuhnian conceptual framework. Lastly, in Section 6, we discuss what seems to be a basic principle governing TC which we call the principle of industrial-technological continuity. 1. TECHNOLOGY: The study of technology and technological change is a hybrid discipline that provides a natural meeting ground for philosophers, economists, sociologists and historians of the engineering and applied sciences. This is all to the good. Interdisciplinary research and the pooling of methods and expertise from different fields should lead to a better understanding of technological progress and its impact on society. Yet because of its hybrid nature, the study of technology is characterised by distinct and often contrasting research traditions. They diverge not only in their methodologies, but in their basic terminologies too. Even within a single discipline like economics, conceptual differences are striking, beginning with the notion of technology itself for which there is no universally accepted definition. Sometimes even compatible accounts of TC look very different from one another because they employ the concept of technology in a wider or narrower sense. Starting from the original meaning of technology as a body of knowledge about techniques, we can regard technological change as consisting of new knowledge about such techniques, and think of technological progress as comprising a special case of technological change. Following Freeman (1979), we distinguish technological from merely technical change, since the latter need not involve essentially new knowledge, but may refer simply to the adoption or diffusion of existing or improved techniques. 1 Borrowing a now standard classification first used by Schumpeter, TC can be analysed through the sequence invention -innovationdiffusion. The invention phase can be seen as related to the sphere of R&D. Research is directed at the enlargement of present knowledge and can be subdivided into basic and applied research. The stage of development deals with the application of research results (e.g., for the construction of prototypes and models), and should lead to an extension of the technical horizon, or of the technology, considered as the state of technical knowledge of an economy. The phase of innovation
2003
This paper aims to propose an approach to endogenous growth considering the relationship between macro-dynamics and technical change. We draw upon two streams of literature: Cumulative causation and its macroscopic view of economic dynamics, and Evolutionary economics and its focus on micro-determinants of technical change. This paper presents a survey of the formal representation of the growth process and identifies the possible bridges between these two approaches. Our claim is that merging these two distinct theories might offer a framework to consider the co-evolution of macrodynamics and technical change.
International Journal of Systems Science, 1990
The purpose olthis study is to develop an economic growth model with endogenous technological change. The model is especially appropriate lor the present Chinese economy in which the role 01 knowledge in economic growth is becoming more important. We are mainly concerned ...
R&D based models relating technical change and economic growth have been unsuccessful in explaining the recent productivity paradox: R&D efforts have risen continuously in advanced countries during the postwar period whereas productivity growth has, if anything, declined. Several explanations of the paradox are offered, together with empirical ways of testing them. The notion that R&D efforts are more and more attributed to product differentiation, thus enlarging consumers' welfare while simultaneously exhibiting only limited effects on economic growth, looks very promising in explaining the productivity paradox.
Journal of Economic Surveys, 1998
This article analyses the main theoretical and policy issues emerging from the literature on the evolutionary-institutional economics of technical change, the four distinguishing characteristics of which are that technology is often proprietary in nature; only a part of knowledge is codifiable in handbooks, blueprints, patents, and so on; there are fundamental variations in the above two points across different technological fields; and the evolution of knowledge is highly path-dependent.
SSRN Electronic Journal, 2000
We discuss a uni…ed theory of directed technological change and technology adoption that can shed light on the causes of persistent productivity di¤erences across countries. In our model, new technologies are designed in advanced countries and di¤use endogenously to less developed countries. Our framework is rich enough to highlight three broad reasons for productivity di¤erences: inappropriate technologies, policy-induced barriers to technology adoption, and within-country misallocations across sectors due to policy distortions. We also discuss the e¤ects of two aspects of globalization, trade in goods and migration, on the wealth of nations through their impact on the direction of technical progress. By doing so, we illustrate some of the equalizing and unequalizing forces of globalization.
This paper incorporates data on efficiency and output per worker for 1965 and 1990 for 57 countries divided into four groups to seek an understanding of similarities and differences among them. Tools employed were testing for equality of means and testing for convergence. The findings indicate that the gaps between the groups were widened during the period studied for both efficiency and output per worker. While divergence was observed when all countries were grouped in one set, there were indications of convergence when the groups were treated separately.
ISRN Economics, 2014
World Development, 1991
This paper presents an integratcd view of what is termed a "structuralist'" perspective to economic growth and development that stands in contrast to the mainstream orthodox or neoclassical view. In the structuralist view, structural changes are causes of growth rather than outcomes of a process of capital accumulation and of rising per capita incomes. Moreover, the growth process may be punctuated by periods of discrete shifts in resource allocation ("creative destruction") and growth acceleration rather than being smooth throughout. Structural changes need not be automatic, they require a skill-specific infrastructure of new capabilities which, when established, generate new comparative advantages. Market failures may be pervasive due to problems of human capital accumulation, critical mass and discrete choice among alternative growth paths. Thus in addition to creating a favorable environment for business and assuring, through macroeconomic policy, adequate investment, successful growth may require an adequate industrial and technological policy, particularly at nodes of structural change. The paper surveys the structuralist insights appearing in the literature, starting with the early postwar economic development literature and including recently developed formal models. It also proposes a kinked or scalloped aggregate production function as a simple tool for structuralist analysis.
Economic growth is a central concept in the economic theory. Modern societies refer to growth as an important determinant for rising standards of living. These effects can be observed not only in more goods and services, but also in brand new products and processes. Investment in human capital is looked upon the very source of long-term, sustainable economic growth. The purpose of this chapter is to provide a brief description of the economic growth, how to analyze its measurement, and also to review briefly the main schools of economic thought that have undertaken its analysis.
This chapter sets the main themes of the book. It is argued that recent studies have not only added new information and evidence about technological change, but they have challenged the way in which technological change is treated in economic theories. It is argued that technological change must be considered endogenous to the economic system, that it must be treated explicitely and in a truly dynamic fashion. An implict approach, dealing only with the consequences of technological change on known economic variables, has been used predominantly in economics. On the contrary an explicit approach takes into account the characters and mechanisms ( products, processes, search activities, skills etc). An implicit approach can have some advantages, but it it is limited and it cannot give us the implications that we need for science and technology policy. An explicit approach was adopted in empirical innovation studies and is retained in the development of evolutionary theories.
Research in Economic History, 2006
This study consists of an examination of productivity growth following three major technological breakthroughs: the steam power revolution, electrification and the ICT revolution. The distinction between sectors producing and sectors using the new technology is emphasized. A major finding for all breakthroughs is that there is a long lag from the time of the original invention until a substantial increase in the rate of productivity growth can be observed. There is also strong evidence of rapid price decreases for steam engines, electricity, electric motors and ICT products. However, there is no persuasive direct evidence that the steam engine producing industry and electric machinery had particularly high productivity growth rates. For the ICT revolution the highest productivity growth rates are found in the ICT-producing industries. We suggest that one explanation could be that hedonic price indexes are not used for the steam engine and the electric motor. Still, it is likely that the rate of technological development has been much more rapid during the ICT revolution compared to any of the previous breakthroughs.
International Journal of Innovation in the Digital Economy
The debate on deindustrialization assumes that domestic industry is a leading sector and produces positive externalities for the whole economy. This paper will partially refute this. Since the early 1990’s, most developed and emerging economies have been subjected to two paradoxes: the paradox of Solow, which calls into question the relationship between ICT investment and productivity gains, and the paradox of Gordon, showing that productivity gains in the ICT sector do not propagate to all other sectors. These paradoxes lead one to question the linear nature of the kaldorian cumulative mechanisms. Following both a theoretical and an empirical approach, such relationships are analyzed from the viewpoint of the various models of unbalanced growth built by Baumol. The author will highlight the limits of such models and provide elements for an alternative explanation. Ultimately, the real problem is to investigate the economic nature and the role that services and forms of intangible c...
Journal of Evolutionary Economics, 2008
2004
In: Revue d'économie industrielle. Vol. 105. 1er trimestre 2004. pp. 47-70. Résumé Cet article cherche à développer une approche endogène de la croissance permettant de mettre en évidence les interactions entre la dynamique macroéconomique et le processus de changement technologique. Nous baserons notre analyse sur deux courants hétérodoxes de la théorie de la croissance : l'approche dite de la croissance cumulative et la théorie évolutionniste. Le premier, développé à partir des travaux de N. Kaldor, propose une approche macroéconomique de la croissance tirée par la demande. Le second considère la croissance comme résultant des processus micro-économiques liés à la technologie et à son évolution. Cet article propose une revue de ces deux courants de pensée, met en évidence leur complémentarité pour finalement les intégrer dans un même cadre d'analyse.
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