2021
DOI: 10.1108/ejim-07-2020-0269
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Transnational knowledge transfer or indigenous knowledge transfer: which channel has more benefits for China's high-tech enterprises?

Abstract: PurposeThis paper compares four external technology acquisition channels' (foreign technology transfer, exporting, inter-industry R&D spillover and domestic technology transfer) contributions to Chinese high-tech enterprises' innovation in the moderating role of absorptive capacity (AC).Design/methodology/approachUsing technological catch-up theory and China Statistics Yearbook on High Technology Industry, this research investigates 16 Chinese high-tech industries from 2004 to 2015 via negative binomial re… Show more

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Cited by 15 publications
(19 citation statements)
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“…Since investors in CFF are normally inclined to pursue short-term and low-risk investments, they are less likely to support R&D investment, which has a long-term risk [40,41]. In addition, as discussed above, firms tend to sustain a relatively stable R&D level with changes in CFI and CFO and are reluctant to invest more in R&D when CFF increases, which can be explained by the high adjustment costs and high uncertainty of R&D investment [42].…”
Section: Firm Maturity Cash Flow Sources and Randd Investmentmentioning
confidence: 99%
“…Since investors in CFF are normally inclined to pursue short-term and low-risk investments, they are less likely to support R&D investment, which has a long-term risk [40,41]. In addition, as discussed above, firms tend to sustain a relatively stable R&D level with changes in CFI and CFO and are reluctant to invest more in R&D when CFF increases, which can be explained by the high adjustment costs and high uncertainty of R&D investment [42].…”
Section: Firm Maturity Cash Flow Sources and Randd Investmentmentioning
confidence: 99%
“…In studies examining the effect of internal knowledge on innovation activities in the high‐tech industry, most scholars affirmed a positive impact (Chen & Hou, 2016; Dai, 2015), generally believing that internal knowledge significantly promotes innovation output and is the core knowledge source of innovation‐driven development. Studies concerning the effect of knowledge spillover on innovation activities in the high‐tech industry can be roughly divided into the following two aspects: the exploration of the direct relationship between knowledge spillover and innovation activities in the high‐tech industry (Deng & Lu, 2021; Hou & Chen, 2017; Zhou & Zeng, 2016) and the exploration of the interactions among the three variables by introducing additional variables (Fan & Li, 2019; Zhang & Zhao, 2017). In the extant literature concerning the interaction effect between internal knowledge and knowledge spillover on innovation activities in the high‐tech industry, scholars generally believe that the differential impact of this knowledge combination on innovation output is obvious (Sha & Li, 2011).…”
Section: Literature Reviewmentioning
confidence: 99%
“…In terms of research methods, most of the current research on the relationship between tax policy and corporate innovation uses qualitative analysis [10,20] and quantitative empirical analysis methods. Among these methods, quantitative empirical analysis methods used mainly include the propensity score matching method [21,22], the questionnaire survey method [23,24], and panel data regression analysis [11,17,25,26].…”
Section: E Impact Of Government's Tax Policy On the Innovation Of High-tech Enterprisesmentioning
confidence: 99%
“…Compared to traditional enterprises, high-tech enterprises pay more attention to technological innovation and engage continuously in hightech innovation through the intensive investment of R&D funds and talent. Although high-tech enterprises enjoy the competitive advantages brought about by continuous innovation, the application of new technologies and the opening of new markets are often highly risky and therefore require government support and guidance [22]. e universality, high transparency, and predictability of preferential tax policies can help companies make R&D decisions.…”
Section: Construction Of the Evolutionary Game Modelmentioning
confidence: 99%
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