960 resultados para Organisation for Economic Co-operation and Development


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Chinese firms undertake large scale contracted projects in a number of countries under the auspices of economic cooperation. While there are suggestions that these activities are an extension of China's soft power aimed at facilitating Chinese foreign direct investment (FDI) in those countries, often for access to natural resources, there is no systematic analysis of this in the literature. In this paper, we examine China's economic cooperation related investment (ECI) over time. Our results suggest that the pattern of investment is indeed explained well by factors that are used in the stylised literature to explain directional patterns of outward FDI. They also demonstrate that the (positive) relationship between Chinese ECI and the recipient countries' natural resource richness is not economically meaningful. Finally, while there is some support for the popular wisdom that China is willing to do business with countries with weak political rights, the evidence suggests that, ceteris paribus, its ECI is more likely to flow to countries with low corruption levels and, by extension, better institutions.

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Hydrophobicity as measured by Log P is an important molecular property related to toxicity and carcinogenicity. With increasing public health concerns for the effects of Disinfection By-Products (DBPs), there are considerable benefits in developing Quantitative Structure and Activity Relationship (QSAR) models capable of accurately predicting Log P. In this research, Log P values of 173 DBP compounds in 6 functional classes were used to develop QSAR models, by applying 3 molecular descriptors, namely, Energy of the Lowest Unoccupied Molecular Orbital (ELUMO), Number of Chlorine (NCl) and Number of Carbon (NC) by Multiple Linear Regression (MLR) analysis. The QSAR models developed were validated based on the Organization for Economic Co-operation and Development (OECD) principles. The model Applicability Domain (AD) and mechanistic interpretation were explored. Considering the very complex nature of DBPs, the established QSAR models performed very well with respect to goodness-of-fit, robustness and predictability. The predicted values of Log P of DBPs by the QSAR models were found to be significant with a correlation coefficient R2 from 81% to 98%. The Leverage Approach by Williams Plot was applied to detect and remove outliers, consequently increasing R 2 by approximately 2% to 13% for different DBP classes. The developed QSAR models were statistically validated for their predictive power by the Leave-One-Out (LOO) and Leave-Many-Out (LMO) cross validation methods. Finally, Monte Carlo simulation was used to assess the variations and inherent uncertainties in the QSAR models of Log P and determine the most influential parameters in connection with Log P prediction. The developed QSAR models in this dissertation will have a broad applicability domain because the research data set covered six out of eight common DBP classes, including halogenated alkane, halogenated alkene, halogenated aromatic, halogenated aldehyde, halogenated ketone, and halogenated carboxylic acid, which have been brought to the attention of regulatory agencies in recent years. Furthermore, the QSAR models are suitable to be used for prediction of similar DBP compounds within the same applicability domain. The selection and integration of various methodologies developed in this research may also benefit future research in similar fields.

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The purpose of this article is to examine the causality between government size and corruption, and to verify if there is a different pattern of causality between developed Organization for Economic Co-operation and Development (OECD) countries (excluding Mexico) and developing countries (Latin American countries) during the period 1996 to 2003. Applying Granger and Huang`s (1997) methodology we find evidence that size of government Granger causes corruption in both samples. Since a larger government involvement in private markets today will be followed in future by a higher level of corruption a policy advice would be to enhance governance. The promotion of good governance helps to combat corruption given that it complements efforts to reduce corruption more directly, and it is strongly recommended by the International Monetary Fund, other multilateral institutions, and all worried with the negative impacts of corruption on economic activity.

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PhD thesis in Bioengineering

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OBJECTIVE: As part of the WHO ICD-11 development initiative, the Topic Advisory Group on Quality and Safety explores meta-features of morbidity data sets, such as the optimal number of secondary diagnosis fields. DESIGN: The Health Care Quality Indicators Project of the Organization for Economic Co-Operation and Development collected Patient Safety Indicator (PSI) information from administrative hospital data of 19-20 countries in 2009 and 2011. We investigated whether three countries that expanded their data systems to include more secondary diagnosis fields showed increased PSI rates compared with six countries that did not. Furthermore, administrative hospital data from six of these countries and two American states, California (2011) and Florida (2010), were analysed for distributions of coded patient safety events across diagnosis fields. RESULTS: Among the participating countries, increasing the number of diagnosis fields was not associated with any overall increase in PSI rates. However, high proportions of PSI-related diagnoses appeared beyond the sixth secondary diagnosis field. The distribution of three PSI-related ICD codes was similar in California and Florida: 89-90% of central venous catheter infections and 97-99% of retained foreign bodies and accidental punctures or lacerations were captured within 15 secondary diagnosis fields. CONCLUSIONS: Six to nine secondary diagnosis fields are inadequate for comparing complication rates using hospital administrative data; at least 15 (and perhaps more with ICD-11) are recommended to fully characterize clinical outcomes. Increasing the number of fields should improve the international and intra-national comparability of data for epidemiologic and health services research, utilization analyses and quality of care assessment.

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RESUME Cette thèse se situe à la frontière de la recherche en économie du développement et du commerce international et vise à intégrer les apports de l'économie géographique. Le premier chapitre s'intéresse aux effets de création et de détournement de commerce au sein des accords régionaux entre pays en développement et combine une approche gravitaire et une estimation non paramétrique des effets de commerce. Cette analyse confirme un effet de commerce non monotone pour six accords régionaux couvrant l'Afrique, l'Amérique Latine et l'Asie (AFTA, CAN, CACM, CEDEAO, MERCO SUR et SADC) sur la période 1960-1996. Les accords signés dans les années 90 (AFTA, CAN, MERCOSUR et SADC) semblent avoir induis une amélioration du bien-être de leurs membres mais avec un impact variable sur le reste du monde, tandis que les accords plus anciens (CEDEAO et CACM) semblent montrer que les effets de commerce et de bien-être se réduisent pour finir par s'annuler à mesure que le nombre d'années de participation des Etats membres augmente. Le deuxième chapitre pose la question de l'impact de la géographie sur les échanges Sud-Sud. Ce chapitre innove par rapport aux méthodes classiques d'estimation en dérivant une équation de commerce à partir de l'hypothèse d'Armington et en intégrant une fonction de coût de transport qui prend en compte la spécificité des pays de l'UEMOA. Les estimations donnent des effets convaincants quant au rôle de l'enclavement et des infrastructures: deux pays enclavés de l'UEMOA commercent 92% moins que deux autres pays quelconques, tandis que traverser un pays de transit au sein de l'espace UEMOA augmente de 6% les coûts de transport, et que bitumer toutes les routes inter-Etat de l'Union induirait trois fois plus de commerce intra-UEMOA. Le chapitre 3 s'intéresse à la persistance des différences de développement au sein des accords régionaux entre pays en développement. Il montre que la géographie différenciée des pays du Sud membres d'un accord induit un impact asymétrique de celui-ci sur ses membres. Il s'agit d'un modèle stylisé de trois pays dont deux ayant conclu un accord régional. Les résultats obtenus par simulation montrent qu'une meilleure dotation en infrastructure d'un membre de l'accord régional lui permet d'attirer une plus grande part industrielle à mesure que les coûts de transport au sein de l'accord régional sont baissés, ce qui conduit à un développement inégal entre les membres. Si les niveaux d'infrastructure domestique de transport sont harmonisés au sein des pays membres de l'accord d'intégration, leurs parts industrielles peuvent converger au détriment des pays restés hors de l'union. Le chapitre 4 s'intéresse à des questions d'économie urbaine en étudiant comment l'interaction entre rendements croissants et coûts de transport détermine la localisation des activités et des travailleurs au sein d'un pays ou d'une région. Le modèle développé reproduit un fait stylisé observé à l'intérieur des centres métropolitains des USA: sur une période longue (1850-1990), on observe une spécialisation croissante des centres urbains et de leurs périphéries associée à une évolution croissante puis décroissante de la population des centres urbains par rapport à leurs périphéries. Ce résultat peut se transférer dans un contexte en développement avec une zone centrale et une zone périphérique: à mesure que l'accessibilité des régions s'améliore, ces régions se spécialiseront et la région principale, d'abord plus importante (en termes de nombre de travailleurs) va finir par se réduire à une taille identique à celle de la région périphérique.