Health-care preventive measures, logistics challenges and corporate social responsibility during the COVID-19 pandemic: break the ic

Sasmoko, . and Muhammad Saeed, Lodhi and Abdul Rashid, Abdul Aziz and Nur Fatihah, Abdullah Bandar and Rahimah, Embong and ,Mohd Khata, Jabor and Siti Nisrin, Mohd Anis and Khalid, Zaman (2021) Health-care preventive measures, logistics challenges and corporate social responsibility during the COVID-19 pandemic: break the ic. Purpose – The study aims to analyze the role of coronavirus testing capacity to possibly reduce the case fatality ratio (CFR) in a large cross-section of countries. The study controlled health-care expenditures, logistics performance index (LPI), carbon d (2021). pp. 1-10. ISSN 1463-668

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Abstract

Purpose – The study aims to analyze the role of coronavirus testing capacity to possibly reduce the case fatality ratio (CFR) in a large cross-section of countries. The study controlled health-care expenditures, logistics performance index (LPI), carbon damages, and corporate social responsibility (CSR) to understand the nature of causation between the CFR and stated factors. Design/methodology/approach – The study used a cross-sectional regression apparatus for coefficient estimates and variance decomposition analysis (VDA) for forecasting relationships between the variables over time. Findings – The results confirmed the W-shaped relationship between CFR and case-to-test ratio (CTR) in the presence of a LPI that exacerbates the CFR cases across countries. The VDA estimates suggest that carbon damages, logistics activities, and CSR are likely to influence CFR over time. Originality/value – To the best of the authors’ knowledge, the study is believed to be the first study that assesses the W-shaped relationship between the CFR and CTR in the presence of dynamic variables, which helps to formulate long-term sustainable health-care policies worldwide. Keywords Sustainable development, Social responsibility, COVID-19 pandemic, Health-care expenditures, Corporate social responsibility, Logistics performance index, Carbon damages, Cross-sectional regression

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