International R&amp;D spillovers and institutions

Coe, David T.; Helpman, Elhanan; Hoffmaister, Alexander W.

doi:10.1016/j.euroecorev.2009.02.005

Cited by 453 publications

(362 citation statements)

References 49 publications

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“…On the other hand, in the less developed country of the sample, Spain, the negative contribution of domestic innovation is counterbalanced by a high contribution of the foreign stock of knowledge (85 %) and human capital (42.7 %). These results contrast with those obtained by Madsen (2007) who We have calculated the contributions using the estimated elasticities of Model 2, which includes the interaction of imports of knowledge with the propensity to import Madsen (2007) also comments on the contributions using the elasticities obtained with the import interaction term, and Coe et al (2009) also discuss the results of the model with m…”

Section: Econometric Modelling and Empirical Resultscontrasting

confidence: 62%

“…The increasing use of ICT equipment explains the acceleration in American productivity growth since 1995(Oliner and Sichel 2000;Jorgenson and Stiroh 2001).3 Khan and Luintel (2006) andCoe et al (2009) point out that the estimated coefficients of the innovation variables seem to be robust to the incorporation of new variables not strictly linked to innovation. 4 Several studies have incorporated improved measures of human capital followingEngelbrecht (1997).…”

mentioning

confidence: 94%

“…Engelbrecht (1997) is the first scholar to introduce a human capital variable to account for innovation and other aspects of innovation outside the R&D sector. 4 Extending this work, Coe et al (2009) test the impact of institutional factors on productivity.…”

Section: Introductionmentioning

confidence: 99%

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Total factor productivity, domestic knowledge accumulation, and international knowledge spillovers in the second half of the twentieth century

et al. 2014

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This paper analyses the relationship between total factor productivity (TFP) and innovation-related variables during the second half of the twentieth century. We perform this analysis for several European countries (France, Germany, UK, and Spain) and the USA, extending Coe and Helpman's (Eur Econ Rev 39:859-887, 1995) empirical specification to include human capital. We use a new dataset of patents data for the past 150 years to calculate the stock of knowledge using the perpetual inventory method. Our time series empirical analysis confirms the heterogeneous relationship between innovation variables (domestic stock of knowledge, imports of knowledge, and human capital) and productivity. Our results reveal the extent to which observed differences in technology adoption patterns and the levels of endowment of such resources can explain differences in TFP dynamics across countries. The estimated coefficients confirm the considerable gap that still exists between the European countries and the USA in innovation-related variables. Furthermore, we obtain a finding that may have important implications for innovation policies: the higher the levels of human capital and domestic knowledge stocks, the higher will be the response of TFP to a 1 % increase in any of the aforementioned variables.

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Section: Econometric Modelling and Empirical Resultscontrasting

confidence: 62%

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confidence: 94%

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Total factor productivity, domestic knowledge accumulation, and international knowledge spillovers in the second half of the twentieth century

et al. 2014

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“…Consequently, patent litigation cases launched by internationally renowned manufacturers against Taiwanese businesses are becoming more common. Therefore, Taiwanese enterprises must develop key technology research and development (R&D), actively improve patent quality, and establish patent teams in order to compete in international markets and confidently face international patent litigation (Griliches 1981;Narin et al 1987;Trajtenberg 1990;Crampes, Langinier 2002;Hall et al 2005;Arora et al 2008;Coe et al 2009).…”

Section: Introductionmentioning

confidence: 99%

How Does Patent Litigation Influence Dynamic Risk for Market Competitors?

Wang

Lin

et al. 2015

Technological and Economic Development of Economy

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Abstract. Many recent studies have discussed the appropriateness of various patent measurement indicators, as well as the differences in the positioning of patented technologies, while there is little discussion on the risk transmission of enterprises when faced with infringement litigation. This study used the bivariate EGARCH (Exponential Generalized Autoregressive Conditional Heteroskedasticity) model with DCC (Dynamic Conditional Correlations) to investigate the dynamic risk transmission of patent litigation between market competitors in the smartphone industry. Empirical results revealed that when facing lawsuits from market challengers, the market leader faces fewer risks when handling patent infringement litigations. In addition, the risk reactions of competitors during patent wars may widely differ. Investors should consider the patent infringement litigations when measuring the dynamic risks of share prices, and determining the optimal configuration of asset portfolios in response.

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“…To the group of these studies we should include findings of Whalley and Xin (2006), McGrattan andPrescott (2009), Desai, Foley andHines Jr. (2009). Other articles oriented to FDI were devoted to spillovers: Coe, Helpman andHoffmaister (2009), Liu (2008), Hale and Long (2007) and Abraham and others (2010). Important research on China's SEZs have been included in the publications of Wei (1995), Cheng et al (2000).…”

mentioning

confidence: 99%