Direct versus indirect international R&amp;D spillovers

Lee, Gwang-Hoon

doi:10.1016/j.infoecopol.2004.12.001

Cited by 26 publications

(26 citation statements)

References 24 publications

(34 reference statements)

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“…Second, to precisely estimate the output elasticity for domestic and foreign R&D stocks, we use an endogenous growth model and different parameter values of the depreciation rate of R&D stocks in China and G-7 countries, and the average time lag of R&D investment forming capital stocks in China and G-7 countries. Third, to construct the direct technology stocks, we consider two channels (the telecommunication network and personnel flows), instead of only one channel (the telecommunication network) as suggested by Lee (2005).…”

Section: Introductionmentioning

confidence: 99%

China's Sustained Economic Growth: Do Direct R&D Spillovers Matter?

Jiang

Chen

et al. 2010

China and World Economy

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Using data from 1986-2005, the present paper estimates the impact of direct knowledge spilled over from G-7 countries on China's economy. We use telephone line penetration rates and personnel flows to estimate the direct spillover effect. Our results show that direct knowledge spillovers through telecommunication networks and personnel flows are important components of international R&D spillovers in China. These direct channels of spillover effectively accelerate China's economic growth. Therefore, China should invest more in human capital and in its telecommunication network to enhance the absorptive capacity of direct R&D spillovers, and to increase communication with other nations, in particular the USA and Japan. More subsidies to domestic R&D research and purchase of intermediate goods will help to raise China's R&D intensity. Copyright (c) 2010 The Authors China & World Economy (c) 2010 Institute of World Economics and Politics, Chinese Academy of Social Sciences.

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Section: Introductionmentioning

confidence: 99%

China's Sustained Economic Growth: Do Direct R&D Spillovers Matter?

Jiang

Chen

et al. 2010

China and World Economy

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“…A consistent (crosssectional) result is found by Matteucci and Sterlacchini (2004) by studying a large sample of Italian firms during the golden years of the 'Information age ' (1998-2000). At an economy-wide level, on the one hand, Madden and Savage (2000) and Lee (2008) detect that IT commodities imports are particularly conducive of knowledge spillovers; on the other hand, Lee (2005) and Zhu and Jeon (2007) show that international spillovers have been enhanced by the development of telecom infrastructures, especially after the advent of the Internet.…”

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confidence: 99%

The modern drivers of productivity

Venturini

2015

Research Policy

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Using country-level data, this paper investigates the determinants of productivity in emerging knowledge economies by estimating the spillovers associated with investment in Research & Development (R&D) and Information Technology (IT). The work illustrates that both forms of technicallyadvanced capital (R&D and IT) matter for long-run TFP growth. Furthermore, by inspecting knowledge spillovers associated with either the domestic production or import penetration of high-tech (IT) goods, we show that the R&D base of the domestic producers of IT assets is a fundamental driver of economic growth for the industrialized countries. In terms of TFP gains, a low degree of industry specialization in information technology can only partly be compensated by a country's trade openness, i.e. importing R&D-intensive (IT) goods from abroad. This contrasts to what occurs for less technically-advanced (non-IT) productions, for which trade is an effective conduit for knowledge.

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“…2 An update by Lee [36] casts further doubt on the importance of trade for the diffusion of knowledge by showing that the impact of import shares nearly anishes when controlling for real knowledge spillovers. v To our knowledge, this paper is the first to study the channels of pure knowledge transfer on the industry level using patent data and applying the concept of technological proximity to ensure focusing on direct knowledge spillovers.…”

Section: Andd Rmentioning

confidence: 99%

Industry-Specific Knowledge Spurs Productivity: An Application of Panel Cointegration

Zloczysti

2011

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. analyzes the significance of the linkage between channels of international knowledge spillovers and total factor productivity. We distinguish between domestic and international intra-and inter-sectoral spillover sources. Patent applications are exploited to estimate the contribution of technology transfer to industrial productivity. To account for technological distance, we weight foreign knowledge by bilateral technological proximity. By adopting estimation methods reflecting recent developments in the treatment of non-stationary panel data econometrics, we find that industry-specific knowledge both nationally and internationally mainly drives productivity in the respective sector. Terms of use: Documents in

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Direct versus indirect international R&D spillovers

Cited by 26 publications

References 24 publications

China's Sustained Economic Growth: Do Direct R&D Spillovers Matter?

China's Sustained Economic Growth: Do Direct R&D Spillovers Matter?

The modern drivers of productivity

Industry-Specific Knowledge Spurs Productivity: An Application of Panel Cointegration

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