Global technology spillover and its impact on industry's R&amp;D strategies

Watanabe, Chihiro; Zhu, Bing; Griffy‐Brown, Charla; Asgari, Behrooz

doi:10.1016/s0166-4972(00)00048-1

Cited by 50 publications

(19 citation statements)

References 7 publications

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“…Thus, it is implicitly assumed that the regions belonging to a given 'learning domain' are able to benefit fully from the learning spillovers. However, as discussed in [3], different countries and regions may have different assimilation capacities, i.e. different abilities to use technology spillovers for their own benefit.…”

Section: The Eris Modelmentioning

confidence: 99%

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Emission trading and the role of learning-by-doing spillovers in the ''bottom-up'' energy-system ERIS model

Barreto¹,

Klaassen²

2004

IJETP

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In this paper, using the 'bottom-up' energy-system optimisation ERIS model, we examine the effects of emission trading on technology deployment, emphasising the role of technology learning spillovers. That is, the possibility that the learning accumulated in a particular technology in a given region may spill to other regions as well, leading to cost reductions there also. The effects of different configurations of interregional spillovers of learning in ERIS and the impact of the emission trading mechanism under those different circumstances are analysed. Including spatial spillovers of learning allows capturing the possibility that the imposition of greenhouse gas emission constraints in a given region may induce technological change in other regions, such as developing countries, even if the latter regions do not face emission constraints. Our stylised results point out the potential benefits of sound international cooperation between industrialised and developing regions on research, development, demonstration and deployment (RD3) of clean energy technologies and on the implementation of emission trading schemes.Keywords: technology learning; emission trading; spillovers .Reference to this paper should be made as follows : Barreto, L. He has been involved in development and application of energy-system models (e.g. MARKAL, ERIS) and participated in several projects, among others, on energy technology dynamics (TEEM and SAPIENT) funded by the European Commission, on carbon trading for CRIEPI (Japan), on analysing the 'hydrogen economy' for TEPCO (Japan) and examining the role of carbon capture and sequestration technologies funded by Carnegie Mellon University (US).

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Section: The Eris Modelmentioning

confidence: 99%

“…Thus, although their role in the adoption of technologies has been recognised, the magnitude and geographical scope of spillovers for different technologies and regions are difficult to quantify [3] and their incorporation in energy-systems models is still rudimentary [ 4,5].…”

mentioning

confidence: 99%

Emission trading and the role of learning-by-doing spillovers in the ''bottom-up'' energy-system ERIS model

Barreto¹,

Klaassen²

2004

IJETP

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“…Yasuyuki Todo and Weiying Zhang (2009), Chihiro Watanabe, Bing Zhu (2001) concluded that human resource has a positive role on absorbing the technology and improving knowledge spillover effect [11] [12]. These researches highlight that labor of high quality can also motivate knowledge spillover effect.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Spillover Structure within Shanghai Districts: A Spatial Analysis of Aggregation and Correlation

Yu¹,

Ma²

2013

Proceedings of the 2013 the International Conference on Education Technology and Information Systems

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“…Technology embodied intermediate goods or 'technology lock-in', which has made the traditional intellectual property right (IPR) system inadequate for preventing new technology diffusing from the inventor, inevitably accelerated international technology spillovers (Watanabe et al 2001). Although using different approaches, researchers have reached the same qualitative conclusion, that is, international trade transmits a significant amount of technology and knowledge.…”

Section: Introductionmentioning

confidence: 99%

Measuring international trade-related technology spillover: a composite approach of network analysis and information theory

Sun

Liu

2012

Scientometrics

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The study of international technology spillover focuses on bilateral relationship between host country and home country, and the study of transnational technology network focuses on the position and power of individual country in a network. Introducing the network model and information theory into the research framework, we propose a new measure of international technology spillover in this present article, in which the bilateral relationship was transformed to multilateral relationship between countries, and network features at the whole network level were investigated instead of at the individual level. By using data from CHELEM-International Trade Database, we measure three transnational spillover networks in the high-tech field from 1979 to 2009, and analyze the results of various technology networks at different time points.

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Global technology spillover and its impact on industry's R&D strategies

Cited by 50 publications

References 7 publications

Emission trading and the role of learning-by-doing spillovers in the ''bottom-up'' energy-system ERIS model

Emission trading and the role of learning-by-doing spillovers in the ''bottom-up'' energy-system ERIS model

Knowledge Spillover Structure within Shanghai Districts: A Spatial Analysis of Aggregation and Correlation

Measuring international trade-related technology spillover: a composite approach of network analysis and information theory

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