Shareholder protection and stock market development

The dissertation contains five parts: An introduction, three major chapters, and a short conclusion. The First Chapter starts from a survey and discussion of the studies on corporate law and financial development literature. The commonly used methods in these cross-sectional analyses are biased as legal origins are no longer valid instruments. Hence, the model uncertainty becomes a salient problem. The Bayesian Model Averaging algorithm is applied to test the robustness of empirical results in Djankov et al. (2008). The analysis finds that their constructed legal index is not robustly correlated with most of the various stock market outcome variables. The second Chapter looks into the effects of minority shareholders protection in corporate governance regime on entrepreneurs' ex ante incentives to undertake IPO. Most of the current literature focuses on the beneficial part of minority shareholder protection on valuation, while overlooks its private costs on entrepreneur's control. As a result, the entrepreneur trade-offs the costs of monitoring with the benefits of cheap sources of finance when minority shareholder protection improves. The theoretical predictions are empirically tested using panel data and GMM-sys estimator. The third Chapter investigates the corporate law and corporate governance reform in China. The corporate law in China regards shareholder control as the means to the ends of pursuing the interests of stakeholders, which is inefficient. The Chapter combines the recent development of theories of the firm, i.e., the team production theory and the property rights theory, to solve such problem. The enlightened shareholder value, which emphasizes on the long term valuation of the firm, should be adopted as objectives of listed firms. In addition, a move from the mandatory division of power between shareholder meeting and board meeting to the default regime, is proposed.

Determinanti Sociali e Governance della Salute in Zambia: Politiche di Sviluppo ed Empowerment Partecipativo

A 30 anni dalla Dichiarazione di Alma Ata, l'Organizzazione Mondiale della Sanità, sia nei lavori della Commissione sui Determinanti Sociali della Salute che nel corso della sua 62^ Assemblea (2009) ha posto nuovamente la sua attenzione al tema dei determinanti sociali della salute e allo sviluppo di una sanità secondo un approccio "Primary Health Care", in cui la partecipazione ai processi decisionali è uno dei fattori che possono incidere sull'equità in salute tra e nelle nazioni. Dopo una presentazione dei principali elementi e concetti teorici di riferimento della tesi: Determinanti Sociali della Salute, partecipazione ed empowerment partecipativo (Cap. 1 e 2), il lavoro di tesi, a seguito dell'attività di ricerca di campo svolta in Zambia (Lusaka, Kitwe e Ndola) e presso EuropeAid (Bruxelles), si concentra sui processi di sviluppo e riforma del settore sanitario (Cap. 3), sulle politiche di cooperazione internazionale (Cap.4) e sull'azione (spesso sperimentale) della società civile in Zambia, considerando (Cap. 5): le principali criticità e limiti della/alla partecipazione, la presenza di strumenti e strategie specifiche di empowerment partecipativo, le politiche di decentramento e accountability, le buone prassi e proposte emergenti dalla società civile, le linee e i ruoli assunti dai donatori internazionali e dal Governo dello Zambia. Con questa tesi di dottorato si è voluto evidenziare e interpretare sia il dibattito recente rispetto alla partecipazione nel settore sanitario che i diversi e contraddittori gradi di attenzione alla partecipazione delle politiche di sviluppo del settore sanitario e l'emergere delle istanze e pratiche della società civile. Tutto questo incide su spazi e forme di partecipazione alla governance e ai processi decisionali nel settore sanitario, che influenzano a loro volta le politiche e condizioni di equità in salute. La metodologia adottata è stata di tipo qualitativo articolata in osservazione, interviste, analisi bibliografica e documentale.

Ethical Perspectives on Big Data in Agri-food: Ownership and Governance for Safety

Big data are reshaping the way we interact with technology, thus fostering new applications to increase the safety-assessment of foods. An extraordinary amount of information is analysed using machine learning approaches aimed at detecting the existence or predicting the likelihood of future risks. Food business operators have to share the results of these analyses when applying to place on the market regulated products, whereas agri-food safety agencies (including the European Food Safety Authority) are exploring new avenues to increase the accuracy of their evaluations by processing Big data. Such an informational endowment brings with it opportunities and risks correlated to the extraction of meaningful inferences from data. However, conflicting interests and tensions among the involved entities - the industry, food safety agencies, and consumers - hinder the finding of shared methods to steer the processing of Big data in a sound, transparent and trustworthy way. A recent reform in the EU sectoral legislation, the lack of trust and the presence of a considerable number of stakeholders highlight the need of ethical contributions aimed at steering the development and the deployment of Big data applications. Moreover, Artificial Intelligence guidelines and charters published by European Union institutions and Member States have to be discussed in light of applied contexts, including the one at stake. This thesis aims to contribute to these goals by discussing what principles should be put forward when processing Big data in the context of agri-food safety-risk assessment. The research focuses on two interviewed topics - data ownership and data governance - by evaluating how the regulatory framework addresses the challenges raised by Big data analysis in these domains. The outcome of the project is a tentative Roadmap aimed to identify the principles to be observed when processing Big data in this domain and their possible implementations.