2017
DOI: 10.1016/j.euroecorev.2017.02.008
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Import and innovation: Evidence from Chinese firms

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Cited by 95 publications
(53 citation statements)
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References 25 publications
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“…So far in this paper we have used the former approach to examine the innovation effect of international talent, because R&D investment measures firms' independent innovation investment and is thus regarded as a more representative indicator. It is especially true in the case of China since Chinese firms are reluctant to apply for patents due to weak intellectual property rights protection (Chen et al, 2017). However, there is a shortcoming, namely, the unavailability of R&D data--the time range of our study so far is from 2004 to 2007.…”
Section: Further Analysis Using Patent Datamentioning
confidence: 99%
See 1 more Smart Citation
“…So far in this paper we have used the former approach to examine the innovation effect of international talent, because R&D investment measures firms' independent innovation investment and is thus regarded as a more representative indicator. It is especially true in the case of China since Chinese firms are reluctant to apply for patents due to weak intellectual property rights protection (Chen et al, 2017). However, there is a shortcoming, namely, the unavailability of R&D data--the time range of our study so far is from 2004 to 2007.…”
Section: Further Analysis Using Patent Datamentioning
confidence: 99%
“…If these factors are omitted, their effects on firms' R&D investment are included in the error term, causing an endogenous problem. To address this, we include region fixed effects in all regressions (Gagliardi, 2015;Chen et al, 2017).…”
Section: Endogeneity Issuesmentioning
confidence: 99%
“…Given that there are four potentially endogenous variables, we calculate the instrumental variable for each variable using the share of intermediate imports, final imports, intermediate exports, and final exports as weight respectively. Following Hummels, Jørgensen, Munch, and Xiang (), Carluccio, Fougère, and Gautier (), and Chen, Zhang, and Zheng (), we include the full set of instruments in all first‐stage regressions. The instrumental variables can be expressed as follows: GOIitm=false∑csicmGOIict EXRitm=false∑csicmEXRct where GOIitm is the m ‐weighted average gross output indicator of China's trade partners, and m{}|normalinormalnnormaltnormalenormalrnormalmnormalenormaldnormalinormalanormaltnormale normalinormalmnormalpnormalonormalrnormalt, normalfnormalinormalnnormalanormall normalinormalmnormalpnormalonormalrnormalt, normalinormalnnormaltnormalenormalrnormalmnormalenormaldnormalinormalanormaltnormale normalenormalxnormalpnormalonormalrnormalt, normalfnormalinormalnnormalanormall normalenormalxnormalpnormalonormalrnormalt.…”
Section: Second‐stage Estimation: Globalization and The Wage Premiummentioning
confidence: 99%
“…Since our sample starts in 2003, we set the year 2002 as pre‐sample year. The use of pre‐sample weights can eliminate the potential endogeneity problem caused by contemporaneous shocks that may affect both the import/export composition with trade partners and wage setting (Hummels, Jørgensen, Munch, & Xiang, ; Chen, Zhang, & Zheng, ). Therefore, our instrumental variables rely on predetermined variations in trade composition across industries and exogenous variations in gross output (exchange rates) of trade partners.…”
Section: Second‐stage Estimation: Globalization and The Wage Premiummentioning
confidence: 99%
“…A recent study by Chen, Z et al(2017) also investigated the relationship between imports and innovation by importing firms. We first construct a theoretical model in which imports stimulate innovation through cost-reducing knowledge spillovers.…”
Section: 11patterns Of Innovation Growthmentioning
confidence: 99%