2019
DOI: 10.1016/j.egyr.2019.07.013
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Exploring the impact of government subsidy and R&D investment on financial competitiveness of China’s new energy listed companies: An empirical study

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Cited by 53 publications
(37 citation statements)
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“…Further, a sample size of 86 firms limits generalization from our results. Third, although GI is closely linked to a firm's overall R&D investment and although R&D investment is widely accepted in environmental management research (e.g., Alam et al, 2019; Lee & Min, 2015; Zhu, Zhu, Xu, & Xue, 2019), future studies should use the more precise measure of green R&D investment (which is related directly to GI). Finally, future studies should analyse other factors to complement our analysis of moderation by EMS and R&D investment.…”
Section: Discussion Limitations and Future Studiesmentioning
confidence: 99%
“…Further, a sample size of 86 firms limits generalization from our results. Third, although GI is closely linked to a firm's overall R&D investment and although R&D investment is widely accepted in environmental management research (e.g., Alam et al, 2019; Lee & Min, 2015; Zhu, Zhu, Xu, & Xue, 2019), future studies should use the more precise measure of green R&D investment (which is related directly to GI). Finally, future studies should analyse other factors to complement our analysis of moderation by EMS and R&D investment.…”
Section: Discussion Limitations and Future Studiesmentioning
confidence: 99%
“…Palei (2015), Kim, Wu, and Lin (2018), and Zhu, Zhu, Xu, and Xue (2019) seek to define and address vital infrastructure considerations that decide national productivity, which in effect favorably affect overall industrial energy policy outcomes. The authors found that the degree of institutional growth and the other seven variables, including technology, affects national competitiveness.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Here, R&D it is the independent variable. R&D it denotes R&D efforts of NEV enterprises, and is measured by the ratio of total R&D investment to the total asset [30]. "du × dt" is the treatment variable.…”
Section: Model Specification and Datamentioning
confidence: 99%