3 resultados para Inside debt
em AMS Tesi di Dottorato - Alm@DL - Università di Bologna
Resumo:
This thesis is an interdisciplinary piece of academic research, situated within Critical Theory but engaging with other disciplines, mainly Political Economy and Politics, to tackle the topic at hand; sovereign debt crises. The thesis deals with the Problem of Debt and, more specifically, the Problem of Prolonged Sovereign Debt Crises, which is described in this thesis as the phenomenon of the “Debt Trap”. The specific question that will occupy us in this thesis is why countries appear unable to exit these prolonged debt crises. By exiting a debt crisis, we mean here a state of affairs in which a country has managed to render its debt sustainable, regain its democratic sovereignty, achieve economic recovery and, what is more, mitigate adverse effects of the crisis, especially in what human development, social inequality and poverty rates are concerned. This question is tackled through the use of an interdisciplinary approach that combines critical theory perspectives -which are grouped in two paradigms, the Subjectivity paradigm and the genealogies of Capitalism paradigm- with financialisation literature. The purpose is to form an interdisciplinary intellectual framework that will allow us to analyse with a critical perspective the two case studies of the Greek crisis from 2009 to 2015 and the Argentinean crisis from 1983 to 2005. The aim of the thesis is to develop a theoretical framework that allows us to deconstruct the various ideological approaches to these two particular cases of Debt traps, including neoclassical and neoliberal approaches, Conservative and Keynesian approaches and uncover the political, economic and class relation that underpin the prolonged crises that the two countries have experienced.
Resumo:
This Thesis focuses on the principles of international law relevant to the resolution of legal disputes arising from sovereign insolvency conflicts. It attempts to contribute to the “incremental” approach literature by identifying principles, justifying their application in litigation and assessing whether they may help to reconcile the trade-offs prevalent in that context. For that purpose, this Thesis distinguishes between two different types of principles. First, it investigates the “Principles of Public International Law” (henceforth, “PIL principles”). Said category refers to norms of the law of nations which can be considered functionally and structurally similar to domestic constitutional principles (i.e., that can be regarded as “optimization” or “prima facie” requirements). This Thesis underscores the PIL principles protecting the interests of the creditors and citizens as well as the “public interest”, arguing that decision makers face a trade-off between these principles in the context of restructurings. Secondly, this Thesis inquires into the “general principles of domestic law” (henceforth, “GPDs”) which can be applied in sovereign debt restructuring. Two GPDs are identified: a “stay” on litigation and a “cram down” on dissenting creditors’ claims. Although both principles have been identified by the prior literature, this work advances a small but significant “twist” in the methodology used for that purpose: it relies exclusively on functional and comparative analysis. Moreover, this work justifies the application of said GPDs for two jurisdictions: New York and Germany. Finally, it posits that those GPDs can help to mitigate the trade-offs between PIL principles, thus reconciling the interests at stake.
Resumo:
The main contribution of this thesis is the proposal of novel strategies for the selection of parameters arising in variational models employed for the solution of inverse problems with data corrupted by Poisson noise. In light of the importance of using a significantly small dose of X-rays in Computed Tomography (CT), and its need of using advanced techniques to reconstruct the objects due to the high level of noise in the data, we will focus on parameter selection principles especially for low photon-counts, i.e. low dose Computed Tomography. For completeness, since such strategies can be adopted for various scenarios where the noise in the data typically follows a Poisson distribution, we will show their performance for other applications such as photography, astronomical and microscopy imaging. More specifically, in the first part of the thesis we will focus on low dose CT data corrupted only by Poisson noise by extending automatic selection strategies designed for Gaussian noise and improving the few existing ones for Poisson. The new approaches will show to outperform the state-of-the-art competitors especially in the low-counting regime. Moreover, we will propose to extend the best performing strategy to the hard task of multi-parameter selection showing promising results. Finally, in the last part of the thesis, we will introduce the problem of material decomposition for hyperspectral CT, which data encodes information of how different materials in the target attenuate X-rays in different ways according to the specific energy. We will conduct a preliminary comparative study to obtain accurate material decomposition starting from few noisy projection data.