University of Macau / Faculty of Social Sciences and Humanities / Department of Government and Public Administration

In this thesis, we present the outcomes of a research conducted on children's domestic labor in Haiti. In addition to being engaged in housekeeping work -- which has a negative impact on access to basic education -- children in domesticity are generally victims of harmful disciplinary measures as well. Consequently, our main objective is to expose the actual norms and practices regarding the education and the physical treatment of young domestic workers. / Based on legal pluralism, the approach undertaken during this research combines both theoretical and empirical research, and focuses on law and norms existing at multiple levels. / First, we present the information gathered from our theoretical approach. After exploring the notion of "Haitian child domestic servant", sketching social profiles of actors engaged in the practice of domesticity, and identifying the most significant contingent factors, we underline the principal national and international norms guaranteeing children the right to education as well as to physical integrity. / Second, we explore the local norms related to the education and to physical treatment of young domestic servants through the results of empirical research carried out in Haiti in the form of observation and interviews with relevant actors. / We conclude by identifying the framework of norms that govern the behaviour of families that host domestic children. Understanding that framework allows jurists and other actors to identify and implement the actions more likely to improve the quality of life of child domestic workers.

Diss. (sammanfattning) Stockholm : Univ., 2004. / Härtill 4 uppsatser.

Univ., Mercator School of Management, Diss.--Duisburg Essen, 2008.

Thesis (Ph. D.)--University of Chicago, Dept. of English Language and Literature, August 2000. / Includes bibliographical references. Also available on the Internet.

Submitted by Andre Maitan (andremaitan@yahoo.com.br) on 2011-07-25T18:57:36Z No. of bitstreams: 1 Tese MPFE - André Raj Maitan - 93280.pdf: 894819 bytes, checksum: cd191610788a5e242005e02d0e272ee3 (MD5) / Approved for entry into archive by Gisele Isaura Hannickel (gisele.hannickel@fgv.br) on 2011-07-25T19:18:50Z (GMT) No. of bitstreams: 1 Tese MPFE - André Raj Maitan - 93280.pdf: 894819 bytes, checksum: cd191610788a5e242005e02d0e272ee3 (MD5) / Approved for entry into archive by Gisele Isaura Hannickel (gisele.hannickel@fgv.br) on 2011-07-25T19:20:01Z (GMT) No. of bitstreams: 1 Tese MPFE - André Raj Maitan - 93280.pdf: 894819 bytes, checksum: cd191610788a5e242005e02d0e272ee3 (MD5) / Made available in DSpace on 2011-07-25T19:28:19Z (GMT). No. of bitstreams: 1 Tese MPFE - André Raj Maitan - 93280.pdf: 894819 bytes, checksum: cd191610788a5e242005e02d0e272ee3 (MD5) Previous issue date: 2011-06-27 / Our target here is to understand how non observables factors on water heating choice can affect electricity usage by individual consumers. In order to understand this, we will apply a discrete/continuous model in order to understand the impact of household water heating system discrete choice on household electricity consumption, continuous choice. First it was used a LOGIT model as a way to understand which variables influence consumer discrete choice. Hereafter with Discrete model results we verified if consumer choice is relevant on electricity consumption intensity. Hausman method results demonstrated that if we do not specify discrete choice at continuous model, it will bring biased estimators to our model, this occurs due to the fact that discrete choice variable is significant and it helps to explain continuous model. Results show that we have roughly 10% differences on estimators when we ignore discrete choice. It’s important to note that this kind of miscalculation can bring a important difference on government investment decision. This work and the results obtained reinforced Dubbin and McFadden (1984) work that it was used as principal reference to this work. / O objetivo deste trabalho passa por entender o impacto dos fatores não observáveis na escolha do sistema de aquecimento de água na intensidade do consumo de eletricidade domiciliar. Para isto será aplicado um modelo discreto-contínuo para entender o efeito da escolha discreta do tipo de aquecimento de água domiciliar sobre o consumo de energia elétrica do mesmo domicílio, escolha contínua. Primeiramente foi usado um modelo LOGIT e por meio deste foram entendidos os fatores que influenciam a escolha discreta do consumidor. Com os resultados encontrados na escolha discreta, temos em um segundo momento que constatar se esta escolha é significante para a intensidade do consumo de energia elétrica. Os resultados obtidos usando o método de Hausmann demonstraram que ignorar este fator (escolha discreta) pode levar a estimadores viesados para a parte contínua do modelo, ou seja, a escolha discreta é significante e ajuda a explicar o consumo de energia elétrica domiciliar. Os resultados mostraram que temos diferenças de até 10% no estimador obtido quando ignoramos este fator. É importante notar que este tipo de falha no cálculo, pode trazer problemas na decisão e na quantidade de investimento de um país. Além disso, os resultados reforçaram e ratificaram o trabalho desenvolvido por Dubbin e McFadden (1984) que foram usados como base para o estudo.

Until recently, the legal position of domestic workers in South Africa could be described as a relic of the nineteenth century, when the contract of employment and the common law defined the employer-employee relationship. The legal rules which regulate the relationship between the domestic worker and her employer are examined. International labour standards and the legal position of domestic workers in other countries are considered. Cognisance is taken of the social phenomenon which finds domestic workers at the convergence of three lines along which inequality is generated, namely gender, race and class. Furthermore, the unique economic forces at play in this sector are examined. The law will be stretched to its limits when attempting to resolve what is, essentially, a socio-economic problem. However, the working lives of a million people are at stake. The legislature has a constitutional, political and moral responsibility to attend to reform in this sector as a matter of urgency. / Private Law / LL.M.

Orientadores: Gilberto de Martino Jannuzzi, Guilherme de Castilho Queiroz / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica / Made available in DSpace on 2018-08-05T03:48:17Z (GMT). No. of bitstreams: 1 SilvaJunior_HerculanoXavierda_M.pdf: 14025317 bytes, checksum: 59bfdc3617f3d431b323aaa39f4fe0a5 (MD5) Previous issue date: 2005 / Resumo: o objetivo desta dissertação é discutir a aplicação das metodologias de Análise do Custo do Ciclo de Vida (ACCV) e de Análise Estatística como ferramentas para propor padrões de eficiência energética, complementares às etiquetas (selos) voluntárias já existentes, nos refrigeradores brasileiros de uma porta. Um outro objetivo é estudar o papel desses instrumentos (Selos e Padrões de Eficiência Energética) como meios de fornecer subsídios técnicos para o estabelecimento de níveis máximos de consumo de energia elétrica para equipamentos consumidores de eletricidade comercializados no Brasil. As metodologias ACCV e Análise Estatística permitem avaliar os impactos do aumento de eficiência energética nesses equipamentos, resultando em economias (de energia, financeiras, redução na emissão de dióxido de carbono, etc.) importantes para os consumidores e para o País. Os resultados alcançados nesse estudo apresentam importantes dados para subsidiar discussões mais aprofundadas com os fabricantes e governo para estipular padrões mínimos de eficiência energética para os refrigeradores brasileiros. Uma das importantes conclusões é que, apesar de existirem outras metodologias como a Análise Estatística, a ACCV que leva em conta os custos tecnológicos permite que se conheça melhor o mercado (custos, capacidades tecnológicas, etc.) e sugere os melhores Padrões Mínimos de Eficiência Energética (MEPS - Minimum Energy Performance Standards) com o máximo retomo econômico para o consumidor. Contudo, quando não é possível coletar todos os dados exigidos para a aplicação da ACCV, recorre-se a uma análise mais simplificada, ou seja, à metodologia de Análise Estatística / Abstract: The objective ofthis thesis is to discuss the application of the methodologies of Life Cycle Cost Analysis(LCCA) and of Statistical Analysis as tools to propose energy efficiency standards, complementally to the voluntary labels already existent in the Brazilian one-door refrigerators. Another objective is to study the role of these instruments (energy efficiency labels and standards) in order to seek technical subsidies for the establishment of maximum level of electric energy consumption for electrical equipments in Brazil. The LCCA and Statistical Analysis methodologies permit to evaluate the impacts of the energy efficiency increase in electrical equipments commercialized in Brazil, resulting in important savings (energy, financial, carbon dioxide emissions avoided etc) for the country and its citizens. The results of this study offer important data to subsidize deeper discussions with manufacturers and the govemment to stipulate minimum energy efficiency standards for the Brazilian refrigerators. One of the important conclusions is that, even though there are other methodologies, such as the Statistical Analysis which does not take technological costs into account, the LCCA allows to better understand the market (costs, technological capacity etc) and suggests the best MEPS (Minimum Energy Performance Standards) with the maximum economic retum for the consumer. Nevertheless, when it is not possible to collect all the necessary data to apply the LCCA, it can be used a more simplified analysis, such as the Statistical Analysis methodology / Mestrado / Mestre em Planejamento de Sistemas Energéticos

Introduction Nigeria has the highest malaria burden worldwide. The 2010 and 2015 Nigeria Malaria Indicator Surveys (NMIS) suggest an improvement in malaria indicators, with the North West zone lagging behind. This study aimed to identify the individual and household-level malaria determinants in north-west and southern Nigeria, using Rapid Diagnostic Testing (RDT) and microscopy for malaria diagnosis. Methods Data on 3,358 children aged 6-59 months from north-west and southern Nigeria from the 2015 NMIS was used. The two populations were compared using chi-square tests, and logistic regression analysis was done for determinants of malaria infection, based on RDT and microscopic malaria test results. Results Malaria prevalence by RDT in the north-west and south was 55.8% and 29.2%, respectively (37.0% and 14.9%, respectively by microscopy). In both populations, a higher age, positive RDT in an additional household member and rural residence increased the odds of malaria infection; while higher education of the head of household and greater household wealth lowered the odds of malaria infection. Household clustering of RDT-positive cases appeared to be stronger in the south compared to the north-west. There were no statistically significant differences between the results using RDT or microscopy. Conclusion Irrespective of the diagnostic tool used, malaria determinants were similar in north-west and southern Nigeria. However, poorer social circumstances were observed in the north-west, and may account for the delayed progress in malaria control in the region. There may be a need to intensify malaria control efforts, particularly in the north-west, while awaiting socio-economic development.

Die vorliegende Untersuchung widmet sich der Frage, welche Bedeutung die räumliche Differenzierung des Haushaltsbildungsverhaltens für die Ergebnisse von kleinräumigen Haushaltsprognosen hat. Die Haushaltsgrößenstruktur veränderte sich in Deutschland seit ihrer erstmaligen flächendeckenden Erhebung beträchtlich. Diese Strukturveränderungen sind von anhaltenden Haushaltsverkleinerungen geprägt und vollziehen sich auf der Makro-, Meso- und Mikro-ebene in unterschiedlicher Intensität. Eine möglichst exakte Abbildung räumlich differenzierter Trends ist für kleinräumige Haushaltsprognosen ergebnisrelevant. Die Trends ergeben sich zum einen aus der kleinräumigen Bevölkerungsentwicklung und zum anderen aus den Veränderungen des Haushaltsbildungsverhaltens. Um die oben gestellte Frage zu beantworten, wurden zunächst die Veränderungen von Anzahl und Größenstruktur der Haushalte in Deutschland nach dem 2. Weltkrieg nach ihren räumlichen Ausprägungen - zunächst anhand der Literatur und frei zugänglichen Datenquellen - untersucht. Der Fokus der eigenen empirischen Untersuchungen lag auf dem Zeit-raum 1998 bis 2011. Als Hauptdatenquelle wurden Einzeldaten des Mikrozensus im Rahmen von Scientific-Use-Files und der kontrollierten Datenfernverarbeitung genutzt. Um die Bedeutung des Haushaltsbildungsverhaltens beurteilen zu können, musste es operationalisiert werden. Als Grundgerüst diente das Haushaltsvorstandsquotenverfahren, welches jedoch an die Erfordernisse der Untersuchung angepasst werden musste. Aufbauend auf der Operationalisierung wurde mithilfe eines selbst weiterentwickelten Standardisierungsverfahrens der Einfluss des Haushaltsbildungsverhaltens auf die Haushaltsentwicklung bestimmt. Um Aussagen für kleinräumige Entwicklungen treffen zu können, wurden im nächsten Schritt die räumlich und nach Altersgruppen differenzierten Haushaltsvorstands-quoten auf Gemeinden in Sachsen übertragen. Diese Vorgehensweise wird auch in kleinräumigen makroanalytischen Haushaltsprognosen angewendet. Die Berechnungen erfolgten für alle Gemeinden in fünf Varianten und darüber hinaus für ausgewählte Gemeinden des Dresdener Umlandes mit einer Variante auf Basis von kommunalen Daten der Haushaltegenerierung (HHGen). Die Bedeutung der räumlichen Differenzierung ließ sich schließlich durch den Vergleich der Varianten mit der Referenzvariante ohne räumliche Differenzierung sowie dem Vergleich zwischen den vier Varianten der räumlichen Differenzierung messen. Als am besten für die demographisch ausgerichtete Untersuchung geeignet, stellte sich die Definition der Haushaltsbezugsperson nach dem ältesten Haushaltsmitglied heraus. Die anhand des Lebenszykluskonzeptes und altersjahrspezifischer Ausprägungen gewählten acht bzw. sieben Altersgruppen erwiesen sich für räumliche Betrachtungen als günstig und wiesen nur geringe Unterschiede zu altersjahrspezifischen Berechnungen auf. Das Haushaltswachstum in Deutschland betrug im Betrachtungszeitraum 7,7 %. 3,0 % Haushaltswachstum lassen sich auf die Veränderung des Haushaltsbildungsverhaltens zurückführen. Altersstruktureffekte tragen zu einem Wachstum von 5,3 % bei, während dagegen die Veränderung der Bevölkerungszahl bei Ausschluss der anderen Einflussgrößen, zu einem Rückgang von 0,5 % geführt hätte. Die Veränderung des Haushaltsbildungsverhaltens hatte im Betrachtungszeitraum für die Haushaltsentwicklung zweifelsfrei eine hohe Relevanz. Der Einfluss des Haushaltsbildungsverhaltens war im Betrachtungszeitraum für ostdeutsche Bundesländer besonders hoch und in Sachsen mit 8,0 % am höchsten. In Westdeutschland unterschied sich der Einfluss des Haushaltsbildungsverhaltens auf Bundesländerebene deutlich. Darüber hinaus sind insbesondere Stadt-Land-Unterschiede feststellbar. Der Einfluss von stadtregionalen Einflüssen ist aufgrund fehlender Raumkategorien dagegen nicht nachweisbar. Die Erhebungsumstellung des Mikrozensus im Jahr 2005 hat Auswirkungen auf die berechneten Ergebnisse der Haushaltsstruktur und des Haushaltsbildungsverhaltens. Sondereffekte durch die gehäufte Einführung von Zweitwohnsitzsteuern und die sog. Hartz-IV-Reform lassen im Vergleich zu HHGen-Daten Dresdens den Schluss zu, dass es im Zeitraum der Erhebungsumstellung zu einer erhöhten Haushaltsverkleinerung gekommen ist und es sich somit nicht ausschließlich um einen reinen methodischen Effekt handelt. Zu Verzerrungen der regionalen und nach Gemeindetypen differenzierten Ergebnisse können insbesondere Gebietsreformen, Statuswechsel durch dynamische Prozesse sowie Konzeptumstellungen der Typisierungen führen. Am stärksten wirkten sich diese Veränderungen auf den Bevölkerungsmengeneffekt, weniger auf den Verhaltenseffekt aus. Auf Gemeindeebene ergab sich ebenso eine hohe Relevanz des Haushaltsbildungsverhaltens für die Haushaltsentwicklung. Im Maximum führte die räumliche Differenzierung zu einer Abweichung von neun Prozentpunkten im Vergleich zur Referenzvariante. Die Spannweite (R) zwischen den Varianten der räumlichen Differenzierungen ist in Mittelstädten und suburbanen Gemeinden besonders hoch. Für die untersuchten Mittelstädte ist ein Regionaleffekt verantwortlich, d. h. die regionale Differenzierung von Gemeindegrößenklassen führte zu einer Erhöhung der rechnerischen Haushaltsentwicklung. Aus den Ergebnissen lässt sich schlussfolgern, dass von den räumlichen Differenzierungen im Mikrozensus als Ausgangsbasis zunächst Gemeindegrößenklassen am besten geeignet sind. Diese sollten mindestens nach West- und Ostdeutschland unterschieden werden. Die Regionalisierung nach (zusammengefassten) Bundesländern oder zusammengefassten Raumordnungsregionen ist anzustreben, jedoch nur unter großer Sorgfalt umsetzbar, da sonst die Fallzahlen zu gering und der Stichprobenfehler zu hoch werden. Für kleinräumige Haushaltsprognosen ist das Risiko von Fehlprognosen durch die Unterlassung von räumlichen Differenzierungen weitaus höher ist als durch deren Berücksichtigung. Das räumliche Auswertungspotenzial des Mikrozensus ist sehr hoch. Es kann jedoch gegenwärtig nicht voll ausgeschöpft werden. Notwendig wären nachträgliche Gebietsstandsbereinigungen sowie die künftige und rückwirkende Aufnahme geeigneter räumlicher Differenzierungen, die den stadtregionalen Kontext explizit berücksichtigen. / The present study addresses the question of the significance of spatial differentiation of household formation behaviour for the results of small-scale household projections. The structure of household sizes in Germany changed significantly since its first nationwide survey. These structural changes are marked by the permanent trend of household size diminishment and take place in varying degrees on macro, meso and micro level. Representing spatially differentiated trends as exactly as possible is of high relevance for the results of small-scale projections of households. These trends result in part from small-scale population development and, secondly, from the changes in household formation behaviour. To answer the question above, the changes in number and size structure of households in Germany after World War II were examined according to their spatial characteristics – as a start in literature and openly accessible data sources. The focus of this thesis’ empirical studies lies on period from 1998 to 2011. The main data source was micro data acquired in the micro-census. These data were used in the context of Scientific Use Files and controlled remote data processing. The assessment of the importance of household formation behaviour requires its operationalization. As backbone the head of household ratio method was used, which, however, had to be adapted to the requirements of the investigation. Based on the operationalization a standardization method developed further in the context of this study was used to determine the influence of household formation behaviour on house-hold development. To be able to draw conclusions for small-scale developments, in a next step head of household ratios differentiated spatially and by age group were applied on municipalities in Saxony – analogous to the approach used in small-scale macro-analytical household projections. The calculations were made for all municipalities for five variants. Furthermore, an additional variant based on local data of household generation (HHGen) was calculated for selected municipalities surrounding Dresden. The importance of spatial differentiation was measured by comparing the variants with a reference calculation without spatial differentiation as well as by comparing between the four variants with spatial differentiation. The definition of the eldest household member as household head proved to be most suitable for demographic studies. Seven respectively eight age groups based on life cycle concept were found to be suitable for spatial considerations and showed only minor differences to year-of-age specific calculations. The number of households increased by 7.7% in the analysis period. 3.0% can be attributed to the change in household formation behaviour. Age structure effects contribute to a growth of 5.3%, whereas the change in population - excluding other influences - would have led to a decline in household numbers of 0.5%. The change in household formation behaviour was doubtless of high relevance in the analysis period. The influence of household formation behaviour in the analysis period was particularly high for East Germany, with the maximum in Saxony (8.0%). In West Germany, the influence of household formation behaviour differed significantly for the different federal states (Länder). Moreover, especially urbanrural differences are noticeable. Urban-suburban interrelations are, however, undetectable due to lack of spatial categories. The change in survey methods for the micro-census in 2005 affects the results of household structure and the calculated household formation behaviour. Compared to HHGen data of Dresden, special effects by the frequent introduction of taxes on secondary residences and the socalled “Hartz IV reform” lead to the conclusion, that an increased household size reduction has taken place in the period of change in survey methods. Consequently, this is not merely a methodological effect. Reforms of regional structures, changes in status caused by dynamic processes as well as changes in concepts of typification may lead to biased regionally differentiated and municipal results. The highest impact of these changes was discovered on population quantity effect, less on the behaviour effect. At municipal level, household formation behaviour showed a high relevance for household development. Spatial differentiation led to a maximal deviation of nine percentage points compared to the reference calculation. The range between the variants of spatial differentiation is particularly high in medium-sized towns and suburban municipalities. For the medium-sized towns this is due to a regional effect: the regional differentiation of municipality size classes led to an increase in the determined household development. The results lead to the conclusion that, choosing from the spatial differentiation possibilities in the micro-census, differentiation on municipality level is most suited as a basis. These should be differentiated at least into West and East Germany. Regionalization to (combined) federal states (Länder) or combined spatial planning regions (Raumordnungsregionen) is desirable. However, it can be implemented only with great care, as there are only a limited number of cases and the sampling error would be too high. For small-scale household projections the risk of incorrect predictions by the omission of spatial differentiation is is much higher than by taking them into account. The potential of spatial analysis of the micro-census is very high, but cannot be exploited to the fullest at the time being. Subsequent territorial adjustments would be necessary, as well as future and retroactive inclusion of appropriate spatial differentiations which explicitly take into account the intraregional context.