2020
DOI: 10.1111/radm.12445
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How “Belt and Road” initiative implementation has influenced R&D outcomes of Chinese enterprises: asset‐exploitation or knowledge transfer?

Abstract: As an Outward Foreign Direct Investment (OFDI) promotion policy which aims to transform and upgrade Chinese firms, the 'Belt and Road' (B&R) Initiative has been widely discussed with regard to its influence on R&D activities. Many studies have associated this topic with the relationship between OFDI and R&D activities, however, the difference between the OFDI promotion policy and the OFDI has been neglected, resulting in little understanding of the effects of B&R implementation on R&D activities related to est… Show more

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Cited by 8 publications
(2 citation statements)
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“…Specifically in this SI, Crupi (2021) proposed new indices to study the technology transfer and boundary‐spanning activities in China, considering the complexity of the Chinese environment. In addition, Li et al (2021) found that knowledge transfer plays an important role in the policy effect of BRI implementation on R&D outcomes of Chinese firms that have affiliates in BRI‐related countries.…”
mentioning
confidence: 99%
“…Specifically in this SI, Crupi (2021) proposed new indices to study the technology transfer and boundary‐spanning activities in China, considering the complexity of the Chinese environment. In addition, Li et al (2021) found that knowledge transfer plays an important role in the policy effect of BRI implementation on R&D outcomes of Chinese firms that have affiliates in BRI‐related countries.…”
mentioning
confidence: 99%
“…To help address possible selection bias and endogeneity concerns, we employ propensity score matching or PSM (following Berube and Mohnen, 2009; Girma et al, 2010; Bozio et al, 2014). While we could have adopted other methods to improve our identification strategy (e.g., Entropy Balancing; Heckman 2‐stage), PSM appears to be one of the more common methods used based on recent prior literature (e.g., Li et al, 2020; Dai et al, 2020). On the positive side, PSM allows us to examine and report factors that relate to the likelihood of winning a grant (see Appendix Table B1), which provides some additional information on factors government agencies use to determine grant success 8…”
Section: Model and Resultsmentioning
confidence: 99%