Dataset Information

Newly listed firms' M&A activities data and their VC-backing data.

ABSTRACT: This article contains hand collected and matched data on the VC investment situation in newly listed firms in SME and ChiNext board from 2009 to 2012 and the corresponding M&A activities data undertaken by these newly listed firms as acquirers in three years following initial public offering. Mentioned data are related to the research article "Heterogeneous Venture Capital, M&A Activity, and Market Response" (W. Li, T. Cao, Z. Feng, 2016) [1].

SUBMITTER: Cao T

PROVIDER: S-EPMC5109247 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Newly listed firms' M&A activities data and their VC-backing data.

Cao Ting T

Data in brief 20161109

This article contains hand collected and matched data on the VC investment situation in newly listed firms in SME and ChiNext board from 2009 to 2012 and the corresponding M&A activities data undertaken by these newly listed firms as acquirers in three years following initial public offering. Mentioned data are related to the research article "Heterogeneous Venture Capital, M&A Activity, and Market Response" (W. Li, T. Cao, Z. Feng, 2016) [1]. ...[more]

PMID: 27872888

Similar Datasets

Project description:BackgroundSickness absence is a public health problem with economic consequences for individuals and society. Although sickness absence and chronic diseases are correlated, few studies exist concerning the role of chronic disease in all-cause sickness absence. The aim was to assess the cumulative incidence of sickness absence and examine the accompanying burden of chronic diseases among the sick-listed.MethodsA cross-sectional study was performed with data from 2008. Cumulative incidence of all-cause sickness absence (?14 days) was calculated based on all newly sick-listed individuals (N = 12,543). The newly sick-listed sample and a randomized general population sample (n = 7,984) received a questionnaire (participation rates: 54% and 50%).To assess the burden of self-reported chronic diseases, standardized incidence ratios (SIR) were calculated.ResultsEstimated one-year cumulative incidence was 11.3% (95% CI: 11.2-11.3), 14.0% (13.9-14.1) for women and 8.6% (8.5-8.6) for men. Gender differences were consistent across all age groups, with highest cumulative incidence among women aged 51-64 years, 18.2% (18.0-18.5). For women, the burden of chronic disease was significantly higher for nine out of twelve disease groups, corresponding numbers for men were nine out of eleven disease groups (standardized for age and socio-economic status). Neoplastic diseases had the highest SIR with 4.3 (3.4-5.2) for women and 4.2 (2.8-5.6) for men. For psychiatric and rheumatic diseases the respective SIR's were 1.7 for women and 1.8 for men. The remaining disease groups had an elevated risk of 20-60% (SIR 1.2-1.6). The risk of reporting a co-morbidity was increased for women (SIR 1.4 (95% CI 1.4-1.5)) and men (SIR 1.5 (1.4-1.7)) among the sick-listed.ConclusionsRegister data was used to estimate of the cumulative incidence of sickness absence in the general population. A higher burden of chronic disease among the newly sick-listed was found. Targeting long-term health problems may be an important public health strategy for reducing sickness absence.

Dataset Information

Newly listed firms' M&A activities data and their VC-backing data.

Publications

Newly listed firms' M&A activities data and their VC-backing data.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets