Browse
Submit Data
Databases
API
Help

Dataset Information

26 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Are private equity and venture capital helping small and medium-sized enterprises during the COVID-19 pandemic? Evidence from China☆

ABSTRACT: The rapid spread of COVID-19 worldwide since 2020 has, undeniably, negatively influenced the global economy and environment. Small and medium-sized enterprises (SMEs) are among the worst-hit victims of COVID-19, particularly in developing countries. As primary channels financing SMEs, what roles have private equity and venture capital (PE/VC) played in this crisis? Using the 2010–2021 data of 4462 listed companies, we aimed to assess the impact of PE/VC on financial risk among Chinese SMEs. We constructed a capital structure selection model to assess the risk preference of PE/VC and explored the roles of PE/VC in the financial risk management of enterprises during COVID-19. Based on both theory and empirical evidence, PE/VC negatively impacts the financial risk of enterprises, implying that intervention by the management of PE/VC can aggravate the financial risk. However, in reality, PE/VC positively impacted enterprise financial risk during COVID-19. Thus, the government should implement some easing policies to stimulate access and investment policies of PE/VC as well as provide more practical policies to support investment institutions in China and other counties.

SUBMITTER: Yang S

PROVIDER: S-EPMC9329138 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Assessing the impact of the COVID-19 pandemic on small and medium-sized enterprises performance.

Project description:This study has several purposes. First, identify indicators contributing to the performance of small and medium-sized enterprises (SMEs) that could be affected by the COVID-19. Second, formulate the framework to measure the level of vulnerability of SMEs. Third, assign the SMEs into several clusters. Data used in this research were collected through web-based closed questionnaires and short telephone interviews. This study used Content Validity Analysis, Analytical Hierarchy Process, Multi-Attribute Value Theory approach, K-means Clustering Analysis, and Discriminant Analysis for data processing. The data processing results indicated that the 44 valid indicators belonging to ten dimensions could be used to measure the level of vulnerability of SMEs whose performance was affected by the COVID-19 pandemic. The surveyed SMEs can be segmented into four clusters, namely resilient cluster, low vulnerability cluster, moderate vulnerability cluster, and high vulnerability cluster. Most of the surveyed SMEs belong to the moderate and high vulnerability clusters. The differences between the clusters were based on 16 indicators. These indicators include levels of supplier disruption and the SMEs' market in which the SMEs operate or expect to operate. The results of this study help quantify how the pandemic could generate different levels of impact on each indicator that could depend on the business and what policymakers should consider as they contemplate the scale of the required intervention. Overall, this study contributes to the literature on the effects of the pandemic on SMEs by synthesizing the findings of studies on the impact of COVID-19 on SMEs. The study also determined the framework and the equation for measuring the level of SME vulnerability caused by the pandemic.

| S-EPMC9595116 | biostudies-literature

Small and medium-sized enterprises' contribution in digital technology.

Project description:Researchers have mentioned the importance of digitization in improving efficiency and productivity in Small and Medium Enterprises (SME). Fortunately, there is no proof that Digitization can be used to deal with the outcome of severe incidents like COVID-19. The research paper suggested that the increased rate of SMEs has increased significantly. This was entirely due to the advent of Digital Technology (DT). In this way, both product and the process become more automated in digitalization, resulting in increased quality and demand. Considering the high scope for higher development, India's SME sector still has much space for new digital technologies to be integrated. This paper addresses the main scenario of SMEs in India and their benefit in GDP. Also, the research includes a brief analysis of CRM applications and digital payment options in SMEs.

| S-EPMC8380302 | biostudies-literature

State equity participation and financing constraints of private enterprises in China: Based on the competitive pressure perspective

Project description: Not available

| S-EPMC10650989 | biostudies-literature

Association between workplace social capital and systolic blood pressure among 23 173 workers at 367 small-sized and medium-sized enterprises in Japan: a cross-sectional study.

Project description:ObjectivesSocial capital (SC) has been shown to be inversely associated with elevated blood pressure. While SC in the workplace may also be associated with blood pressure, it has not been extensively studied. We aimed to investigate the association between workplace SC and systolic blood pressure (SBP).DesignA cross-sectional study.Setting367 small-sized and medium-sized companies in Japan.ParticipantsA total of 23 173 participants (15 991 males and 7182 females) aged ≥18 years.Exposure of interestSC was assessed using individual responses to eight 4-point Likert questions used in the Brief Job Stress Questionnaire. Workplace SC was assessed as the mean of individual-level responses to the SC questions from those working in the same company.Outcome measureSystolic blood pressure (SBP) RESULTS: A multilevel linear regression model revealed that higher workplace-level SC was linked with lower SBP (coef.=-0.53 per 1SD increment in workplace SC, 95% CI=-1.02 to -0.05) among females in the age-adjusted model, which remained statistically significant after adjusting for other covariates. After adjusting for individual-level SC, this association was attenuated and became non-significant (coef.=-0.41, 95% CI=-0.87 to 0.05), while individual-level SC was inversely associated with SBP (coef.=-0.43, 95% CI=-0.73 to -0.13). Among males, we did not find any evidence of significant inverse associations either in relation to workplace SC (coef.=-0.12, 95% CI=-0.46 to 0.21) or individual-level SC (coef.=0.19, 95% CI=-0.01 to 0.39).ConclusionsOur study findings suggested that workplace-level SC can affect SBP differently by sex.

| S-EPMC10826556 | biostudies-literature

Risk perception and determinants in small- and medium-sized agri-food enterprises amidst the COVID-19 pandemic: Evidence from Egypt.

Project description:The coronavirus disease-2019 (COVID-19) pandemic has disrupted many activities along agri-food supply chains in developing countries and posed unprecedented challenges in particular to small and medium agri-food enterprises (SMEs). Drawing on a survey of 166 Egyptian agri-food SMEs, this study investigates differences in- and determinants of COVID-19 business risk perception among these enterprises. The empirical results showed that risk perception was highly asymmetric across geographical regions. Enterprises with longer cash flow coverage periods and higher values of total assets perceived significantly lower risk levels, as cash and assets functioned as a buffer against the impact of COVID-19. The findings of the study imply that the "just-in-time" approach and the absence of a proactive and preventative stance to risk management reduced the resilience of agri-food SMEs to the risks presented by the pandemic. Generally, enterprises that operate both in domestic and export markets perceived lower COVID-19 risks. Finally, the main export destination to which the surveyed enterprises export was a significant determinant of their risk perception. These findings could be useful to managers of agri-food businesses in terms of better understanding of risks and promotion of risk management practices. More so, they can help design effective policy interventions to mitigate the impacts of the pandemic on Egyptian agri-food SMEs and build up their resilience to future pandemics and shocks.

| S-EPMC7753412 | biostudies-literature

Project description:Background: Work-related psychosocial stress can cause mental and physical illnesses resulting in high costs for the individual, the economy and society. Small and medium-sized enterprises (SMEs) employ the majority of the world's workforce and often have fewer financial and human resources compared to larger businesses. The aim of this review is to summarize current knowledge on work-related stress in SMEs according to well-established guidelines categorizing psychosocial factors at work. Methods: A systematic database search was carried out in PubMed, PsycINFO, PSYNDEX and Business Source Premiere from March to June 2019, updated in January 2020. Data of included studies were analyzed and mapped into five themes: "work content and task", "organization of work", "social relations", "working environment" and "new forms of work". Results: After full-text screening, 45 out of 116 studies were included for data extraction. Studies were very heterogeneous and of varying quality, mostly applying a cross-sectional study design. Psychosocial factors in SMEs have been researched with a focus on the work patterns "work organization" and "work content and task". Conclusions: This review underlines the need for more and better quality research of psychosocial factors in SMEs, particularly in relation to ongoing and new challenges in the workplace, including stressors related to the process of digitalization or the development of safe working conditions during the emerge of new infectious diseases.

| S-EPMC7650689 | biostudies-literature

Healthy lifestyle behavior of employees in small and medium-sized enterprises in Aydin, Turkey.

Project description:To determine healthy lifestyle behavior and affecting risk factors in workers at small and medium-sized enterprises from four different sectors in Aydin, Turkey.This cross-sectional study was conducted at four different small and medium-sized enterprises in Aydin, Turkey and 264 employees participated in the study. A questionnaire was used for data collection. It consisted of questions about socio-demographic features (age, gender, marital status, education, perceived income, occupation and having children), health status, and medical history, medication use, having occupational accidents and occupational health and safety. Healthy Lifestyle Behavior Scale, which was developed by Walker et al. in 1996, was used to evaluate healthy lifestyle behaviors of the workers.The mean score for Healthy Lifestyle Behavior Scale was 135.46±22.49. Gender, marital status, perceived income, sector of workplace, title, presence of a chronic disease, finding oneself healthy in the previous year and having an occupational accident in the previous year did not significantly affect any subscales of Healthy Lifestyle Behavior Scale. The workers aged over 50 years had significantly higher scores for health responsibility than those aged 20-29 years (p<0.05). The workers living in a village got significantly higher scores for Healthy Lifestyle Behavior Scale and its subscales health responsibility, physical activity, nutrition and spiritual development than those living in a city (p<0.05).Although workers have good spiritual development, they may not adopt physical activity as a healthy lifestyle and that workers benefiting from occupational health and safety services can display healthy lifestyle behavior.

| S-EPMC5432713 | biostudies-other

Health Service Seeking Behavior among Migrant Workers in Small and Medium-Sized Enterprises in Guangdong, China: Does Family Migration Matter?

Project description:ObjectiveThis study aims to understand the health service seeking behavior of migrant workers and explore its association with their living status (i.e., living with family members or not), in Guangdong, China.MethodsThis was a cross-sectional survey conducted with 912 migrant workers in 2012 using a structured questionnaire adapted from the National Health Service Survey. Data were analyzed using the multivariable logistic regression.ResultsOf all migrant workers, 58% lived with at least one family member in the host city. Most of the respondents rated their health status being "very good or good" (58%). Fifty-four percent of the respondents reported having at least one disease in the past 12 months. Sixty-two percent of those who reported at least one disease visited doctors in the past 12 months. Of these, 22% returned to their hometown for medical treatment. Logistic regression showed that migrant workers living with families rated themselves as having better health status (P<0.05) but had more diseases (P>0.05) and had higher doctor visitation rate than those living with alone (58% vs. 66%, P<0.05).ConclusionThe Andersen health service utilization model helps to understand the health seeking behavior of the migrant workers in the host cities. Migrant workers living with family members were positively associated with self-rated health status and health service seeking behavior in small and medium-sized enterprises. Our findings suggest the importance of the assistance programs and social support to improve seeking of healthcare services among migrant groups, especially those who live alone in the host cities.

| S-EPMC6288583 | biostudies-literature

Characteristics of Venture Capital Network and Its Correlation with Regional Economy: Evidence from China.

Project description:Financial networks have been extensively studied as examples of real world complex networks. In this paper, we establish and study the network of venture capital (VC) firms in China. We compute and analyze the statistical properties of the network, including parameters such as degrees, mean lengths of the shortest paths, clustering coefficient and robustness. We further study the topology of the network and find that it has small-world behavior. A multiple linear regression model is introduced to study the relation between network parameters and major regional economic indices in China. From the result of regression, we find that, economic aggregate (including the total GDP, investment, consumption and net export), upgrade of industrial structure, employment and remuneration of a region are all positively correlated with the degree and the clustering coefficient of the VC sub-network of the region, which suggests that the development of the VC industry has substantial effects on regional economy in China.

| S-EPMC4560442 | biostudies-literature

Insurance uptake among small and medium-sized tourism and hospitality enterprises in a resource-scarce environment.

Project description:Small and medium-sized tourism and hospitality enterprises (SMTHEs) are often susceptible to various hazards, which result in risk concerns. Insurance is recognised as one of the risk management strategies, but evidence indicates that insurance uptake among SMTHEs has been low. Yet, researchers have hardly researched into the factors that influence insurance uptake among SMTHEs. Two-hundred and fifty (250) respondents were selected using a multi-stage sampling technique. Confirmatory factor analysis, multivariate logit and probit regression techniques were used to determine factors underlying SMTHEs' insurance uptake. Risk concerns, the firm's characteristics, the perceived benefits of insurance and other informal risk coping mechanisms, as well as insurance service provision concerns were identified as determinants of insurance uptake. This is one of the first papers to offer a holistic understanding of the factors influencing SMTHEs' insurance subscription in a resource-scarce destination of Sub-Saharan Africa. The practical and theoretical implications of the paper are discussed.

| S-EPMC7141640 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data