Title |
Incentivizing Innovation: The Causal Role of Government Subsidies on Lithium-Ion Battery Research and Development |
ID_Doc |
67645 |
Authors |
Buravleva, Y; Tang, DC; Bethel, BJ |
Title |
Incentivizing Innovation: The Causal Role of Government Subsidies on Lithium-Ion Battery Research and Development |
Year |
2021 |
Published |
Sustainability, 13, 15 |
DOI |
10.3390/su13158309 |
Abstract |
Governments design and implement policies to achieve a variety of goals, but perhaps none are as pressing as shifting national economies away from non-renewable fuels and towards more sustainable, environmentally-friendly technologies. To incentivize such transitions, governments provide subsidies to private and public companies to innovate, i.e., to engage in research and development (R&D) to develop those technologies. However, the question of the companies is using government subsidies (GS) to perform R&D and its answer determines the effectiveness of government policies. Consequently, this paper seeks to answer this question through investigating Chinese lithium-ion battery (LiB) firms and the GS they receive through novel usage of information flow (IF). Hausman tests, fixed- and random-effects models confirmed a weak, though positive correlation between GS and R&D as determined by patent output (PO), but interestingly, observations of IF intimated that GS also affected other variables such as net profit (NP) and main business income (MBI). This suggests that firms are being awarded GS for higher PO, but a corresponding increase in R&D and its expected growth in company performance is not occurring. Thus, it is suggested that performance variables other than PO be used as firms may ab (use) this metric to apply for more GS, rather than performing R&D that leads to technological breakthroughs. |
Author Keywords |
innovation; lithium-ion batteries; governmental subsidies; Hausman test; information flow |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
EID |
WOS:000682160500001 |
WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
PDF |
https://www.mdpi.com/2071-1050/13/15/8309/pdf?version=1627286865
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