Based on social comparison theory, this paper explores the impact of employee salary competitiveness on enterprise innovation. Taking the data of A-share listed companies from 2010 to 2020 as a research sample, the empirical results show that employee salary competitiveness is significantly positively correlated with enterprise innovation, that is, the stronger the employee salary competitiveness, the stronger the enterprise innovation capability. Further research finds that the positive correlation between the two is more significant in the sample enterprises with higher quality of human capital. In addition, financial technology and digital economy has continuously spawned new financial service models in recent years. The empirical results show that in regions with a low level of financial technology development, the impact of employee salary competitiveness on enterprisee innovation is more significant.
This paper applies quantitative and narrative approaches to fiscal and financial policies of Chinese small and medium enterprises (SMEs) in order to study the support effect of macro policies on micro enterprises. As the first researchers to focus on the firm heterogeneity of SMEs’ policy effects, we show that the “flood irrigation” supportive policies for SMEs have not achieved the expected “help the weaker” effect. Non-state-owned SMEs and small(micro) enterprises have a low sense of policy gain, which is contrary to some “positive” research conclusions from China. The mechanism study found that “ownership” and “scale” discrimination suffered by non-state-owned and small(micro) enterprises in the financing process are key. We suggest the supportive policies for SMEs should shift from “flood” to “precise drip” irrigation. The policy benefits of non-state-owned, small and micro enterprises need to be emphasized. More targeted policies need to be studied and provided. Our findings shed new light on the formulation of supportive policies for SMEs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.