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Can Political Connections Maintain the Sustainability of R&D Investment in China? There Is No Such Thing as a Free Lunch

doi: 10.3390/su10114238
Combining resource-based theory and social exchange theory, this paper studies the role that political connections play in maintaining the sustainability of enterprises’ R&D investment. Furthermore, this paper discusses the moderating effect of policy burdens and ownership on political connections and R&D investment. Based on the Euler equation model, this study used dynamic panel data from Chinese listed companies over the period 2006–2015 to test the hypothesis. The results show that the sustainability of R&D investments of enterprises are more likely to face the threat of financing constraints. However, political connections can help maintain the sustainability of R&D investment of enterprises, but this effect exists only at the local political level, and firms need to undertake a policy burden in return. Additionally, this effect is more effective in private enterprises than non-private enterprises.
- Leibniz Association Germany
- Nanjing Normal University China (People's Republic of)
- Leibniz Centre for Agricultural Landscape Research Germany
political connections, Environmental effects of industries and plants, ownership, TJ807-830, D investment, TD194-195, Renewable energy sources, Environmental sciences, policy burden, GE1-350, sustainability of R&
political connections, Environmental effects of industries and plants, ownership, TJ807-830, D investment, TD194-195, Renewable energy sources, Environmental sciences, policy burden, GE1-350, sustainability of R&
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
