2021
DOI: 10.1108/ejim-06-2021-0283
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Too much of a good thing? The nonlinear influence of noncontrolling large shareholders on corporate innovation

Abstract: PurposeNoncontrolling large shareholders can reduce the agency problem of executives and can reduce the expropriation or tunneling behavior of controlling shareholders, thereby promoting corporate innovation. However, too many noncontrolling large shareholders may also lead to excessive supervision, thereby inhibiting innovative activities that contribute to the long-term value of the firm. Research to date, however, has not examined the nonlinear impact of noncontrolling large shareholders on corporate innova… Show more

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Cited by 12 publications
(9 citation statements)
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References 61 publications
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“…The correlation values between DEA variables do not show any strong association (except for Cost and LIA; Cost and OE; LIA and OE; LIA and RIV; OE and RIV; OE and MV) because of the low magnitude values. Most of the correlation coefficients are within the range of multi-collinearity judgment value of 0.7 (Wan et al, 2021). Given that the DEA approach does not require a normal distribution assumption for data, this result suggests that this approach is a powerful research method (Liu and Lu, 2021).…”
Section: Corporate Efficiency Preand Post-ifrsmentioning
confidence: 88%
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“…The correlation values between DEA variables do not show any strong association (except for Cost and LIA; Cost and OE; LIA and OE; LIA and RIV; OE and RIV; OE and MV) because of the low magnitude values. Most of the correlation coefficients are within the range of multi-collinearity judgment value of 0.7 (Wan et al, 2021). Given that the DEA approach does not require a normal distribution assumption for data, this result suggests that this approach is a powerful research method (Liu and Lu, 2021).…”
Section: Corporate Efficiency Preand Post-ifrsmentioning
confidence: 88%
“…The correlation values between DEA variables do not show any strong association (except for Cost and LIA; Cost and OE; LIA and OE; LIA and RIV; OE and RIV; OE and MV) because of the low magnitude values. Most of the correlation coefficients are within the range of multi-collinearity judgment value of 0.7 (Wan et al. , 2021).…”
Section: Data and Model Specificationmentioning
confidence: 99%
“…We chose to comprehensively reflect firm innovation by standardizing R&D investment and patents and summing them. Here, R&D investment was measured as the ratio of R&D expenses to sales revenue (Xu et al , 2019), and patents were measured as the natural logarithm of the number of patents for inventions granted to the firm in the current year plus one (Howell et al , 2020; Peng et al , 2021; Wan et al , 2021). We did this because of the patents Chinese firms apply for (design patents, utility model patents and invention patents), and the first two are for low-quality innovation.…”
Section: Methodsmentioning
confidence: 99%
“…For instance, Jiang and Liu (2020) found support for their theory that EPU promotes firm innovation, while Bhattacharya et al (2017) came to the opposite conclusion. As firms are microsubjects of national innovation (Wan et al , 2021), their innovation actions play a key role in improving national innovation capacity, promoting national economic growth and building long-term national competitive advantages (Zhong et al , 2021a). Therefore, clarifying the relationship between EPU and firm innovation has important theoretical significance and practical value.…”
Section: Introductionmentioning
confidence: 99%
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