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      The Relationship Between Enterprise Financial Risk and R&D Investment Under the Influence of the COVID-19

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          Abstract

          The COVID-19 pandemic has dealt a considerable blow to the development of Chinese enterprises. Therefore, exploring how to reduce the enterprise financial risk under the impact of the COVID-19 has become a current research hotspot. We select the data of 3,098 A-share companies in the quarters of 2019 and 2020, use the Z-score model to reasonably evaluate enterprise financial risk, and analyze the impact of Research and Development (R&D) investment on enterprise financial risk under the COVID-19.The results show that: ① The COVID-19 pandemic has increased the number of high-risk enterprises. ② R&D investment can effectively reduce the enterprise financial risk, and enterprises that attach importance to scientific research are relatively less affected by the COVID-19. ③ Compared with non-state-owned enterprises, R&D investment under state-owned enterprises can better help enterprises reduce financial risk. ④ When the enterprise financial risk is lower, the role of R&D investment in reducing financial risk is more significant. With the increase of financial risk, the effect of R&D investment on it is weakened. The research results are beneficial to help enterprises to correctly assess their financial risks during the COVID-19, so that enterprises can reasonably invest in research and development, and ultimately ensure the sustainable development of enterprises under the COVID-19.

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          Pandemics, tourism and global change: a rapid assessment of COVID-19

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            FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY

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              Economic and social consequences of human mobility restrictions under COVID-19

              Significance This paper presents a large-scale analysis of the impact of lockdown measures introduced in response to the spread of novel coronavirus disease 2019 (COVID-19) on socioeconomic conditions of Italian citizens. We leverage a massive near–real-time dataset of human mobility and we model mobility restrictions as an exogenous shock to the economy, similar to a natural disaster. We find that lockdown measures have a twofold effect: First, their impact on mobility is stronger in municipalities with higher fiscal capacity; second, they induce a segregation effect: mobility contraction is stronger in municipalities where inequality is higher and income per capita is lower. We highlight the necessity of fiscal measures that account for these effects, targeting poverty and inequality mitigation.
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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                04 August 2022
                2022
                04 August 2022
                : 10
                : 910758
                Affiliations
                [1] 1School of Economics and Management, Beijing Forestry University , Beijing, China
                [2] 2School of Business, Beijing Union University , Beijing, China
                Author notes

                Edited by: Dalal Hammoudi Halat, Lebanese International University, Lebanon

                Reviewed by: Abu Bakkar Siddik, Shaanxi University of Science and Technology, China; Tingting Qiu, Aix Marseille Université, France

                *Correspondence: Yuan Tian yuan.tian@ 123456buu.edu.cn

                This article was submitted to Health Economics, a section of the journal Frontiers in Public Health

                Article
                10.3389/fpubh.2022.910758
                9386284
                de63cf09-3693-4cb1-a4c9-ab521880512f
                Copyright © 2022 Li, Cheng, Li, Duan and Tian.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 01 April 2022
                : 06 June 2022
                Page count
                Figures: 1, Tables: 5, Equations: 8, References: 31, Pages: 8, Words: 6220
                Funding
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 71873016
                Award ID: 72073012
                Funded by: Beijing Municipal Commission of Education, doi 10.13039/501100002888;
                Award ID: SM202011417010
                Funded by: National Institute for the Humanities and Social Sciences, doi 10.13039/100016961;
                Award ID: 21YJC630127
                Funded by: Beijing Social Science Fund, doi 10.13039/501100009625;
                Categories
                Public Health
                Original Research

                financial risk,r&d investment,covid-19,enterprise ownership,moderating variable

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