136,204 research outputs found
International R&D Spillovers and Institutions
No full textThe empirical analysis in "International R&D Spillovers" (Coe and Helpman, 1995) is first revisited by applying modern panel cointegration estimation techniques to an expanded data set that we have constructed for the purpose of this study. The new estimates confirm the key results reported in Coe and Helpman about the impact of domestic and foreign R&D capital stocks on TFP. In addition, we show that domestic and foreign R&D capital stocks have measurable impacts on TFP even after controlling for the impact of human capital. Furthermore, we extend the analysis to include institutional variables, such as legal origin and patent protection, in order to allow for parameter heterogeneity based on a country’s institutional characteristics. The results suggest that institutional differences are important determinants of total factor productivity and that they impact the degree of R&D spillovers.
INTERREGIONAL R&D SPILLOVERS IN EUROPE
No full textOur paper identifies and estimates the effects of R&D spillovers on total factor productivity with consideration of spatial effects. We first run our estimations on the Coe and Helpman (1995) model introducing spatial correlation. The results show positive R&D spillover effects on TFP and high spatial dependency among countries. We then run the same estimations on regional data. Due to a lack of information about trade between regions, we construct our trade matrix using regional transport information. We obtain a trade matrix for 57 European regions. Estimation results confirm spatial dependency and positive spillovers effects.PRODUCTIVITY, PANEL, COINTEGRATION, SPATIAL MODEL, EUROPEAN REGIONS
R&D Boundaries of the Firm: An Estimation of the Double-Hurdle Model on Commissioned R&D, Joint R&D, and Licensing in Japan
No full textThis is a shortened and slightly revised version of “Determinants of R&D Boundaries of the Firm: An Empirical Study of Commissioned R&D, Joint R&D, and Licensing with Japanese Company Data,” Discussion Paper No. 32, National Institute of Science and Technology Policy (NISTEP).21世紀COEプログラム = 21st-Century COE Progra
Trade network and international R&D spillovers
No full textFollowing Coe and Helpman (International R&D Spillovers, EER, 39, 859-887, 1995), the literature on the trade-related channels of international knowledge flows has flourished. Departing from Coe and Helpman's tenets on the proportionality of trade and productivity spillovers and thus relaxing the implicit assumption that the knowledge transferred internationally is physically embodied in the exchanged products, we test whether relatively strong bilateral trade relationships are significantly associated with important international R&D spillovers. Notably, we focus on refined measures of bilateral trade that account for country size, time-invariant pair-specific factors and time-varying country-specific factors. By distinguishing closer and more distant trade partners without weighting their R&D stocks for the bilateral trade flows, we show that trade is indeed an international transmission channel of knowledge even when distance and other pair specific time-invariant factors are taken into account.International R&D spillovers, Total Factor Productivity, International trade network
A simplified 3-D human body–seat interaction model and its applications to the vibration isolation design of high-speed marine craft
No full textHigh-speed boats experience a harsh vibration environment and human response to this environment is of increasing interest to naval architects who wish to mitigate the effects of vibration and shocks. Based on published experiment data, a three-dimensional human body model with one degree-of-freedom in each direction is established. This model is combined with a simple seat model to construct a simplified 3-D human body–seat interaction model for naval architects to investigate the integrated interaction system when subjected to ship motions. The governing equations describing the dynamics of the human body–seat interactions are formulated and their theoretical solutions are derived. This model, in association with the experimental data recorded on board a high-speed marine craft, is used to study seat isolation system designs. The spring coefficient of the seat isolation system is chosen to avoid any resonance of the human–seat interaction system excited by sea waves. The damping coefficient of the seat isolation system is determined to attenuate motions at the most common excitation frequencies. The designed system is further checked by considering its response to an individual slam impact where the designed system is compared with typical existing seats to illustrate the potential advantages of the proposed approach. In addition the designed seat is compared with existing seats excited by actual boat loads. The study provides a simplified, effective approach for high-speed craft seat design in reducing the shock and vibration level experienced by the crew
R&D Portfolios and Pharmaceutical Licensing
No full textWe examine how R&D portfolios of drug pipelines affect pharmaceutical licensing, controlling firm size, diversity, and competitors in R&D and product markets. The data collected comprises 329 license-outs and 434 license-ins closed by 54 Japanese pharmaceutical companies between 1997 and 2007. We pay special attention to stage-specific licensing by dividing the innovation process into an early stage and a late stage. Estimates from the fixed-effect GMM model reveal that drug pipelines significantly affect stage-specific licensing. Particularly, the state of drug pipelines is leveled off by license-outs at the early stage and license-ins at the late stage. Theoretical implications are also discussed.グローバルCOEプログラム = Global COE Progra
Competition, R&D and Productivity in Japanese Manufacturing Industries
No full text21世紀COEプログラム = 21st-Century COE Progra
International R&D Spillovers and Institutions
No full textThe empirical analysis in "International R&D Spillovers" (Coe and Helpman, 1995) is first revisited by applying modern panel cointegration estimation techniques to an expanded data set that we have constructed for the purpose of this study. The new estimates confirm the key results reported in Coe and Helpman about the impact of domestic and foreign R&D capital stocks on TFP. In addition, we show that domestic and foreign R&D capital stocks have measurable impacts on TFP even after controlling for the impact of human capital. Furthermore, we extend the analysis to include institutional variables, such as legal origin and patent protection, in order to allow for parameter heterogeneity based on a country’s institutional characteristics. The results suggest that institutional differences are important determinants of total factor productivity and that they impact the degree of R&D spillovers.Institutions; Productivity; R&D; Spillovers
Natural history specimens collected and/or identified and deposited.
No full textNatural history specimen data collected and/or identified by Sophie D. Coe, http://www.wikidata.org/entity/Q20039952. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.http://www.wikidata.org/entity/Q2003995
Ownership Structure and R&D Investment of Japanese Start-up Firms
No full text21世紀COEプログラム = 21st-Century COE Progra
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