General Purpose Technologies as an emergent property

Korzinov, Vladimir; Savin, Ivan

doi:10.1016/j.techfore.2017.12.011

Cited by 13 publications

(12 citation statements)

References 31 publications

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“…Similar to the real world, agents have different propensities to interact, depending on their location in a relevant spatial or social network (Breschi & Lissoni, 2009). One can tune the network to empirical data, such as spatial locations of households, locations of power plants in an electricity grid, an existing system of interbank loans, or patent networks (Korzinov & Savin, 2018). This allows one to estimate structure—comprising degree distribution, clustering and assortativity—and density of the network.…”

Section: Agent‐based Modelingmentioning

confidence: 99%

A review of agent‐based modeling of climate‐energy policy

Castro

Drews

Exadaktylos

et al. 2020

WIREs Climate Change

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Agent‐based models (ABMs) have recently seen much application to the field of climate mitigation policies. They offer a more realistic description of micro behavior than traditional climate policy models by allowing for agent heterogeneity, bounded rationality and nonmarket interactions over social networks. This enables the analysis of a broader spectrum of policies. Here, we review 61 ABM studies addressing climate‐energy policy aimed at emissions reduction, product and technology diffusion, and energy conservation. This covers a broad set of instruments of climate policy, ranging from carbon taxation, and emissions trading through adoption subsidies to information provision tools such as smart meters and eco‐labels. Our treatment pays specific attention to behavioral assumptions and the structure of social networks. We offer suggestions for future research with ABMs to answer neglected policy questions. This article is categorized under: Climate Economics > Economics of Mitigation

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Section: Agent‐based Modelingmentioning

confidence: 99%

A review of agent‐based modeling of climate‐energy policy

Castro

Drews

Exadaktylos

et al. 2020

WIREs Climate Change

Self Cite

View full text Add to dashboard Cite

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“…Boehm et al (2016); Acemoglu et al (2016); Oikawa (2017); Huang et al (2018) made similar observations. The similarity is positively related to knowledge spillovers across sectors and technology fields in learning processes (Jaffe and De Rassenfosse, 2017;Korzinov and Savin, 2018). Adner and Kapoor (2016) studied interactions between the incumbent and entrant technology in the innovation process.…”

Section: Diverse Pathways Of Transition -Empirical Stylized Factsmentioning

confidence: 99%

The economics of transition pathways: A proposed taxonomy and a policy experiment

Hötte

2020

Environmental Innovation and Societal Transitions

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“…GPTs are revolutionary changes from current technological trajectories that enable increasing returns to scale and long-run economic growth (Bresnahan & Trajtenberg, 1995;Korzinov & Savin, 2018;Syverson, 2013). Since the seminal article of Bresnahan and Trajtenberg (1995), there is great interest around the dynamics related to GPTs (Ardito et al, 2016;Bresnahan, 2010;Gambardella & McGahan, 2010;Gambardella & Giarratana, 2013;Shea, Grinde, & Elmslie, 2011).…”

Section: General Purpose Technologiesmentioning

confidence: 99%

“…Although there is no unifying view about the emergence of a GPT (Korzinov & Savin, 2018), existing studies point out that in the first stage of emergence, GPT is in a primitive state. However, the feedback from the application sector makes it progress over time, and it "eventually comes to be widely used, to have many uses, and to have many spillover effects."…”

Section: General Purpose Technologiesmentioning

confidence: 99%

General Purpose Technology: The Blockchain Domain

Marku¹,

Castriotta²,

Loi³

et al. 2020

IJBM

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Blockchain is an emerging evolutionary paradigm that is expected to revolutionize existing business models in many industries and impact the world economy and society. Its potential pervasiveness is increasingly drawing the interest of academics, practitioners, firms, financial institutions, and national governments, who define it as a general purpose technology (GPT). Although it may take considerable time to affirm a technology as general, in this phase of the evolution of the blockchain domain, to what extent can it be considered a GPT? By adopting a patent co-classifications analysis, this paper aims at disentangling the blockchain technology structure, evolution, and potential future trends. We analyzed blockchain international patents issued from 2008 to 2018. Results showed a proliferation of the inventive activity outputs and a significant increase in the diversification across different technology fields, capturing the blockchain’s GPT traits. Moreover, our patent measures detected technology dynamics related to ‘space for improvement’ and ‘pervasiveness’ that commonly characterize GPTs. Our study contributes to the technology innovation literature by uncovering the emergence and evolutionary path of a GPT, and our results provide an empirical basis on which managers can build technology-related decisions and systems to enable appropriate firms’ innovation strategies.

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General Purpose Technologies as an emergent property

Cited by 13 publications

References 31 publications

A review of agent‐based modeling of climate‐energy policy

A review of agent‐based modeling of climate‐energy policy

The economics of transition pathways: A proposed taxonomy and a policy experiment

General Purpose Technology: The Blockchain Domain

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