The Barriers to Effective Marketization of Corporate Equity in Libya

Libya is an emerging market in the Middle East and North Africa (MENA) region. Early efforts to encourage financial market development in the 1990s were re-energised after the lifting of UN sanctions in 2003 following dramatic changes in the Libyan financial market. One of these critical decisions was the establishment of the Libyan stock market in 2006. This thesis attempts to explore the challenges that may face the Libyan stock market by examining the barriers which affect the development of the Libyan stock market. In this endeavour the researcher develops a best practice model to help the Libyan stock market achieve its ambitions. The aim of this thesis is to fill the gap in academic research on MENA financial market by investigating the role of ten selected factors on the development of the Libyan stock market. In this thesis, trust is introduced as a major moderator of the ten selected factors under study. Although, there are many examples in the literature of how to understand and interpret trust and, in particular, behavioural economics, transaction cost economy and more general social process theory leads to different understandings of the concept of trust. In this thesis it is argued that the concept of transaction cost economy allied with social process theory provide useful insights. In order to explore and understand the situation of the Libyan stock market as a human construct; and the factors which may affect Libya and its stock market development, the interpretive accounting research (IAR) appears to be the most suitable paradigm for this research. Thus this study uses qualitative methods and mainly semi-structured interviews

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population