2020
DOI: 10.1111/acfi.12717
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Does science–industry cooperation policy enhance corporate innovation: Evidence from Chinese listed firms

Abstract: We examine science–industry collaborations by identifying how academician workstations – joint platforms by listed firms and academicians under provincial governments – influence corporate innovation. We discover that academician workstations (i) significantly increase firms’ innovation input, quality and efficiency, even after controlling for endogeneity issues; (ii) primarily promote corporate innovation by attracting more talented human capital rather than through funding support; and (iii) are even more si… Show more

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Cited by 9 publications
(3 citation statements)
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“…Moreover, government subsidies with specific requirements (e.g., R&D taxes) hedge uncertainty in innovation and spur innovating enterprises to acquire continuous subsidies [ 32 ]. Specifically, targeted government subsidies help to reallocate labor [ 33 ], and more talented human capital promotes corporate innovation in addition to funding support [ 34 ]. Furthermore, a more innovative atmosphere leads to a more positive external environment for collaboration [ 35 ], and this helps knowledge spillover among technology-driven corporations.…”
Section: Literature Review and Hypothesesmentioning
confidence: 99%
“…Moreover, government subsidies with specific requirements (e.g., R&D taxes) hedge uncertainty in innovation and spur innovating enterprises to acquire continuous subsidies [ 32 ]. Specifically, targeted government subsidies help to reallocate labor [ 33 ], and more talented human capital promotes corporate innovation in addition to funding support [ 34 ]. Furthermore, a more innovative atmosphere leads to a more positive external environment for collaboration [ 35 ], and this helps knowledge spillover among technology-driven corporations.…”
Section: Literature Review and Hypothesesmentioning
confidence: 99%
“…To test the robustness of the results, we changed the measurement of innovation and performed the same regression with innovation inputs instead of innovation outputs. Following existing studies (Li & Qi, 2023; Song & Chen, 2023; Xu et al, 2021), two innovation indicators were constructed based on R&D expenditure data: (1) italiclnRD measured by the natural logarithm of firms' total R&D expenditures plus one for firm i in year t , and (2) italicRD_italicSales measured by the ratio of R&D expenditures to firm sales.…”
Section: Endogeneity and Robustness Testsmentioning
confidence: 99%
“…Second, this study adds to the literature on corporate R&D investments from the upper echelons perspective. Prior studies have attributed R&D activities to institutional factors and corporate governance mechanisms such as science-industry collaboration policies (Xu et al, 2020), institutional ownership (Bena et al, 2017;Zhang et al, 2020) and internal governance factors (Xie et al, 2020). However, corporate R&D activity is also impacted by the cognition and preference of decision-makers.…”
Section: Introductionmentioning
confidence: 99%