Agencia Estatal de Investigación
2019-10-01
In the context of the recent economic crisis, the financial situation of the Spanish health sector has become a major concern for responsible actors from the public and private spheres, because of a decline in public spending and increased demand due to population growth and ageing. The public health system seeks collaborative synergies with the private health system to achieve better health care results, cut waiting lists and cope with financial pressure. The private health sector currently owns 452 hospitals in Spain (57% of the country's total). This paper analyses the financial statements of hospital companies in the Spanish private healthcare system, using compositional data (CoDa) methodology. It identifies a significant relationship between financial statement structure and corporate social responsibility (CSR). Relevant CSR indicators include a sustainability report according to the Global Reporting Initiative (GRI), accreditation by the Joint Commission International (JCI) and ISO 14001, 50001 and 26000 accreditations. These indicators reduce asset turnover and increase debt quality: the proportion of long-term debt within total liability. From a methodological perspective, the paper proposes the first application CoDa in statistical models to predict financial statements from non-financial variables, and the first use of CoDa in partial-least-squares structural equation models (PLS-SEM). Our methodological approach reduces the asymmetry, redundancy and outliers encountered in standard statistical models that predict financial ratios
This work was supported by the Spanish Ministry of Science, Innovation and Universities (grant RTI2018-095518-B-C21), the Spanish Ministry of Health (grant CIBERCB06/02/1002) and the Catalan Government (grant 2017SGR656)
Article
Published version
peer-reviewed
English
Empreses -- Responsabilitat social; Social responsibility of business; Analisi multivariable; Multivariate analysis; Anàlisi de ràtios; Ratio analysis; Hospitals -- Finances; Hospitals -- Finance; Anàlisi financera; Investment analysis
Elsevier
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.heliyon.2019.e02623
info:eu-repo/semantics/altIdentifier/eissn/2405-8440
RTI2018-095518-B-C21
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/