Economic growth and technological change: A comparison of insights from a neo-classical and an evolutionary perspective

Mulder, Peter; Groot, H.L.F. de; Hofkes, M.W.

doi:10.1016/s0040-1625(00)00078-0

Cited by 74 publications

(27 citation statements)

References 55 publications

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“…Following these ideas, Figure 1 synthesizes the main lessons stemming from this literature (Mulder et al, 2001), conceptualized across three distinct dimensions (i.e., systemic, knowledge and economic) and with distinct implications for policy.…”

Section: Systems-economic Competitiveness Nexusmentioning

confidence: 99%

Science, technology, and innovation for economic competitiveness: The role of smart specialization in less-developed countries

Krammer

2017

Technological Forecasting and Social Change

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ABSTRACT:Smart specialization (SS) is a policy concept that has gained significant momentum in Europe despite a frail theoretical background and implementation difficulties. These challenges become critical in the case of less-developed economies that often lack regional autonomy, a strong STI base, and local capabilities to identify and sustain such SS strategies. Combining elements from evolutionary economics and the export-led literature, I propose a framework that anchors the role of SS in the national innovation policy of such laggards, as a complementary avenue for improving competitiveness and growth. Moreover, to assist policy makers in lagging regions or countries, I advance a diagnostic tool to identify potential areas for SS, and also address the systemic and the regional-sectoral bottlenecks in these domains. I exemplify the use of this tool in the case of Bulgaria by using a large battery of quantitative and qualitative indicators from publicly available data. This type of investigation may be useful for other less-developed economies to kick-start this process and identify prima facie SS candidates.

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Section: Systems-economic Competitiveness Nexusmentioning

confidence: 99%

Science, technology, and innovation for economic competitiveness: The role of smart specialization in less-developed countries

Krammer

2017

Technological Forecasting and Social Change

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“…The common focus on innovation and inter-industry diffusion has led to the widespread perception that these two schools of thought, both inspired by the Schumpeterian insights, are quite similar to each other and that, as time goes by, they are progressively becoming more and more similar and gradually converging to a common framework [12].…”

Section: Introductionmentioning

confidence: 99%

Innovation and the competitiveness of industries: Comparing the mainstream and the evolutionary approaches

Castellacci

2008

Technological Forecasting and Social Change

114

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The study of the relationships between innovation and the competitiveness of industries is an important topic for both, academic research and economic policy. The huge economics literature flourished in the last couple of decades on the subject broadly falls into two distinct research traditions, namely the mainstream R&D spillovers approach and the evolutionary economics view. Both traditions agree on the important role played by innovation and the intersectoral diffusion of advanced knowledge for the competitive performance of industrial sectors. Behind this general agreement, however, the two approaches are radically different. This paper shows that, at a deeper level of analysis, the mainstream and evolutionary views do indeed differ with respect to their theoretical foundations, empirical research and policy implications. In a nutshell, while the mainstream R&D spillover approach is inspired by a traditional view of economic policy based on a market-oriented approach, the evolutionary view is on the contrary consistent with the idea that institutional arrangements and policy interventions do indeed play a fundamental role for shaping innovation patterns and their impacts on the competitiveness of industries.

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“…5 See also Mulder et al (2001) for a comparison of neoclassical, endogenous and evolutionairy models of economic growth. 6 With respect to specialisation, some authors consider simplified relative measures such as…”

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confidence: 99%

Agglomeration, Innovation and Regional Development: Theoretical Perspectives and Meta-Analysis

2007

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Innovation and technological change are central to the quest for regional development. In the globally-connected knowledge-driven economy, the relevance of agglomeration forces that rely on proximity continues to increase, paradoxically despite declining real costs of information, communication and transportation. Globally, the proportion of the population living in cities continues to grow and sprawling cities remain the engines of regional economic transformation. The growth of cities results from a complex chain that starts with scale, density and geography, which then combines with industrial structure characterised by its extent of specialisation, competition and diversity, to yield innovation and productivity growth that encourages employment expansion, and further urban growth through inward migration. This paper revisits the central part of this virtuous circle, namely the MarshallArrow-Romer externalities (specialisation), Jacobs externalities (diversity) and Porter externalities (competition) that have provided alternative explanations for innovation and urban growth. The paper evaluates the statistical robustness of evidence for such externalities presented in 31 scientific articles, all building on the seminal work of Glaeser et al. (1992). These articles yield 393 estimates of those externalities, which are characterized by their sign and statistical significance. We aim to explain variation in estimation results using study characteristics by means of ordered probit analysis. The evidence in the literature on the role of the specific externalities is rather mixed, although for each type of externality we can identify how various aspects of primary study design, such as the adopted proxy for growth, the data used, and the choice of covariates influence the outcomes.JEL classification: C52, O18, O31, R11

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Economic growth and technological change: A comparison of insights from a neo-classical and an evolutionary perspective

Cited by 74 publications

References 55 publications

Science, technology, and innovation for economic competitiveness: The role of smart specialization in less-developed countries

Science, technology, and innovation for economic competitiveness: The role of smart specialization in less-developed countries

Innovation and the competitiveness of industries: Comparing the mainstream and the evolutionary approaches

Agglomeration, Innovation and Regional Development: Theoretical Perspectives and Meta-Analysis

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