Single-parent families in the Czech Republic from census and sample surveys Abstract The main objective of this thesis is to comprehensively chart as much as possible what we can learn about single-parent families in the Czech Republic from all publicly available data sources, such as surveys and censuses. Incomplete families are viewed from a historical and the contemporary perspective and the expected development of a structure for the future is also shown. Single-parent families are a contemporary phenomenon because the number of dependent children in the incomplete families in the Czech republic has increased by almost a half in the last fifteen years. The thesis provides information about various data sources regarding single-parent families and it evaluates their use and comparability for the research. It also contains an analysis of the structure of families and households based on the population development and census data in the Czech Republic. The financial situation of single-parent families is examined in detail - their income expenditure, individual groups of cash expenditures. The thesis also focuses on the description of their apartment's facilities. Based on the results of the generated forecasts of the number of nuclear families in the Czech Republic for the period 2015-2050, which comes...

L’objectif principal de cette thèse est d’instruire l’organisation des successions culturales, à l’échelle de la France et sur un recul décennal, tant en terme de cinétiques localisées qu’en terme de dynamiques liées à des variables explicatives du milieu physique et socio-technico-économiques. Ce travail de « fouille de données » est appliqué en France métropolitaine, en utilisant les bases de données publiques disponibles. Notre étude couvre la période 1992-2003 où s’implémenta la réforme de 1992 de la Politique Agricole Commune européenne et l’agenda 2000 en France. A partir d’une fouille de données sur l’ensemble des points Terruti sur cette période, 2549 successions culturales de trois ans furent identifiées. Ensuite, 21 clusters de l’ensemble des 430 régions agricoles (RA) françaises, quatre systèmes de culture, 90 RA, parangons des 430 RA, et trois régions principales appartenant à cinq des 21 clusters, regroupant les cultures de céréales, oléagineux et protéagineux, ont été définis. Deux approches de cinétiques des successions ont été réalisées : Une étude envisageant les successions de culture qui suivent les retournements de prairies permanentes. Une recherche des dynamiques d’évolution de successions culturales en lien avec des conditions externes. Nous proposons une utilisation ultérieure des méthodes mobilisées qui ont montré leur capacité à cartographier les grandes tendances d’évolution en France et à identifier les principales variables explicatives de ces évolutions. Les apports de cette thèse contribuent à améliorer notre compréhension des processus qui organisent les successions culturales en France et construisent par ces pratiques agricoles très dynamiques des impacts forts sur le territoire agricole français / In the context of changing agricultural policy, the development of agricultural production systems, increasing concern for agricultural sustainability and shifts in agricultural land management practice-related land-use change, the main objective of this thesis was to mine crop sequence patterns (CSP) and the relationships between CSP and the biophysical and socio-technical-economic conditions in mainland France from historical census data (e.g. land-cover survey, agricultural censuses, population census). Our study period 1992-2003 covers the implementation period of the 1992 European Union Common Agricultural Policy reform and Agenda 2000 in France. Both the classical statistical and data mining technique were applied in alone or combined ways in this thesis. First, we proposed an innovative approach to representing CSP within a given area and period at a large regional scale in a stationary way. The 2549 3-year crop sequences (CSs) were first identified as major CSs within all 430 agricultural districts (ADs) in mainland France during this period. Next, 21 clusters of ADs , four types of cropping systems, 90 representative ADs and three principal planting zones of cereals, oilseeds, and protein crops belonging to five clusters identified previously were further defined. We then explored CSP in a dynamic way by investigating CSP after grassland-to-cropland conversion, the temporal variability of CSP, and the evolution of the relationships between CSP and the external conditions over the study period. We conclude that the approaches developed here permit the representation of CSP at the large regional scale in both stationary and dynamic ways using time series land-cover data denoting specific agricultural cover types. The findings of this thesis contribute to improving the understanding of the process and pattern of human land management practices by agriculture affecting the terrestrial biosphere

This thesis focuses on the emergence of the teenaged consumer as a market segment in Canada during the 1930s, 1940s, and 1950s. It challenges the notion that teenagers were of little interest to retailers until economics and demographics shaped the more numerous and prosperous post-war teenagers of the Baby Boom generation. Using evidence from corporate records and analysis of mail order catalogues, the study examines how department store retailer, the T. Eaton Company, Limited, began to cultivate a distinct and lucrative teenaged consumer in the 1930s, and thereby began shaping the teenaged consumer. The thesis contextualizes the case study of Eaton’s by exploring the varied expectations that adults had of young people at the time, using census records and magazines (Chatelaine, Canadian Home Journal and Mayfair) to explore concerns about young people’s transition to adulthood. It then focuses on how Eaton’s made a concerted and sustained effort to attract teenager customers to its catalogue and stores. Analysis of its semi-annual catalogue highlights the emergence of specialized clothing size ranges and styles, revealing that Eaton’s increasingly viewed the teenaged years as an important in-between life stage. Eaton’s also instituted teenage advisory councils to both glean market trends and provide a venue for what it considered education for novice consumers. Eaton’s presented consumption as a way to prepare young people for adult roles, legitimizing teenaged participation in the consumer marketplace and contributing to wider debates about when and how teenaged Canadians should reach maturity.

This study, quantitative determinants of need and demand for primary health care in the District of Columbia (DCPC), analysed data over a twenty-year period from 1985 to 2004, on need and demand for primary care using standard and epidemiologically innovative statistical measures for physician distributions and socio-demographic characteristics in the District of Columbia (DC). The study attempted to answer the question: Using U.S census-based small area aggregations, Census Tract Groupings (CTGs), that are not zip-code areas or legislative/political boundaries, can a multivariate predictive model be developed using physician distributions, primary care service index (PCSI) and composite need scores (CNS) to explain variations in primary care visits shortages? Primary care visits shortages and priority scores (PCPS) were calculated, analysed and presented for CTGs in the District of Columbia from 1985 to 2004. Results indicated that the abundant supply of DC-based physicians – indicated by decreasing population per physician ratios of 239 (1985) to 146 (2004) – appear to be a long-term trend. As raw physician counts increased, the ratio of satisfied visits to demand decreased, from 2.62 (1985) to 1.80 (in 2004). This result appears to indicate that, due to inequities in distribution of primary care physicians in DC’s small areas, the increasing numbers of primary care physicians were by themselves, not sufficient to address the city’s overall primary care visits need. Epidemiological profiles and physician distribution analytical methods appear to be useful for small area analysis of urban primary care shortage areas and for setting priorities. Physician rates per 1,000 pop may be a necessary but not sufficient statistic for estimating urban primary health care needs / Health Studies / D. Litt. et Phil. (Health Studies)

This study, located in the disciplines of human geography and demography, explores the socio-spatial boundaries encapsulating Britain’s Jewish population, particularly at micro-scales. It highlights and challenges key narratives of both Jewish and general interest relating to residential segregation, assimilation, partnership formation, exogamy and household living arrangements. It presents a critical exploration of the dual ethnic and religious components of Jewish identity, arguing that this ‘White’ group has become ethnically ‘invisible’ in British identity politics and, as a consequence, is largely overlooked. In addition, the key socio-demographic processes relating to Jewish partnership formation are addressed and a critical assessment of data pertaining to the decline of marriage, the rise of cohabitation and the vexed topic of Jewish exogamy, is presented. The analysis culminates by linking each of these issues to the micro-geographical scale of the household and develops a critical assessment of this key unit of Jewish (re)production. Jewish population change is contextualised within the framework of the second demographic transition. This deliberately quantitative study is designed to exploit a recent glut of data relating to Jews in Britain. It interrogates specially commissioned tables from Britain’s 2001 Census as well as four separate communal survey data sources. It highlights and challenges recent geographical critiques of quantitative methodologies by presenting a rigorous defence of quantification in post-‘cultural turn’ human geography. It emphasises the importance and relevance of this fruitful shift in geographical thought to quantitative methods and describes the role quantification can now play in the discipline. Above all, it synthesises two disparate sets of literature: one relating to geographical work on identity and segregation, and the other to work on the identity, demography and cultural practices of Jews. As a result, this thesis inserts the largely neglected ethno-religious Jewish case into the broader geographical literature whilst developing a critical quantitative spatial agenda for the study of Jews.

Les sites d'agrégation de ponte (AP) sont des zones où des poissons d'une même espèce se rassemblent pour frayer. En dépit de leur importance dans la reproduction de nombreuses espèces de poissons des récifs coralliens, bien peu de sites d'AP sont gérés. Le but de cette étude est d'améliorer la compréhension générale sur l'écologie des sites d'AP en vue de faciliter la gestion. L'étude, réalisée aux Seychelles, se concentre sur les individus regroupant sur les sites d'AP pour frayer et aussi sur ceux résidant sur ces sites. La télémétrie acoustique et le recensement visuel sous-marin ont, ici, été employé comme principaux outils d'observation des espèces formant des agrégations de reproduction (cordonnier (Siganus sutor), mérou camouflage (Epinephelus polyphekadion) et mérou marbré (E. fuscoguttatus)) et des espèces résidant sur les sites d'AP. Les détections acoustiques ont montré que les individus de S. sutor présentent une grande fidélité à leur site de ponte et une périodicité liée à la période de pleine lune. Par ailleurs, les agrégations de ponte d'E. fuscoguttatus et E. polyphekadion se chevauchent spatialement et temporellement avec une forte périodicité liée à la nouvelle lune. La formation d'AP de E. fuscoguttatus et E. polyphekadion provoque des changements complexes dans l'assemblage de poissons résidents sur le site. L'effet de la phase lunaire sur les assemblages de poissons résidant sur les sites d'AP de S. Sutor apparait être dépendant de l'échelle considérée. Les informations sur la dynamique spatiale et temporelle des espèces étudiée sont utilisées pour proposer des mesures de gestion susceptibles d'améliorer la protection des sites d'AP. / Fish spawning aggregation (FSA) sites are areas where repeated concentration of conspecific fish gathers for the purpose of spawning. Despite of their importance in the reproduction of many coral reef fishes, few FSA sites are actively managed. The aim of this study, conducted in the Seychelles, was to improve general understanding on the ecology of FSA sites to facilitate their management. It focuses on both the individuals that aggregate at FSA sites to spawn and those that are resident at FSA sites. Acoustic telemetry and underwater visual census were used to study three species that form spawning aggregations (spinefoot shoemaker (Siganus sutor), Camouflage grouper (Epinephelus polyphekadion) and Brown-marbled grouper (E. fuscoguttatus)) and the resident fish assemblages at FSA sites. Acoustic detections found individual S. sutor to have high fidelity to individual FSA sites and to show significant periodicity with the full moon period in the timing of their arrival and departure from FSA sites. Conversely, spawning aggregations of E. fuscoguttatus and E. polyphekadion overlapped spatially and temporally, with strong periodicity for spawning aggregation to form with the new moon period. The formation of E. fuscoguttatus and E. polyphekadion FSAs caused complex changes in the fish assemblage that is resident at the FSA site. The effect of lunar phase on the resident fish assemblages at S. sutor FSA sites appeared to be scale-dependent, having greater impact at the larger than the smaller FSA site. Information on the spatial and temporal dynamics of aggregating and resident fish species is used to propose management actions to improve the protection of FSA sites.

Diversos estudos realizados na área econômica têm mostrado a importância da escolaridade para a melhoria da qualidade de vida das pessoas. Apesar disso, o nível médio de escolaridade no Brasil é de 6,4 anos na população adulta, considerado baixo, se comparado a outros países da América Latina. Em vista disso, na década de 1990, foram instituídas diversas mudanças na forma de gestão do ensino público brasileiro, com objetivo de melhorar sua qualidade e motivar o interesse da criança pela escola. O presente trabalho inseriu-se nessa discussão ao propor uma avaliação da influência que a infra-estrutura escolar e as características familiares exercem sobre a freqüência e o atraso no ensino fundamental. Dadas as diferenças regionais existentes no Brasil, fez-se uma comparação entre os estados de São Paulo e Pernambuco. Para tanto, foram feitas análises de regressões, utilizando-se do modelo próbite, e as bases de dados foram o censo demográfico, o censo escolar e as transferências do Fundo Nacional de Desenvolvimento da Escola (FNDE), do ano 2000. Tais análises concentraram-se nas escolas públicas, da área urbana, dos dois estados. Além disso, foram realizadas interações entre variáveis das características familiares e variáveis da infra-estrutura escolar, a fim de verificar as formas mais eficientes de se colocar e manter a criança na escola, garantindo-lhe o avanço nos estudos. Questionou-se, portanto, se é mais interessante para o governo investir na melhoria da qualidade das escolas, ou em iniciativas que melhoram as condições socioeconômicas da família. Foram, também, realizadas simulações para avaliar os impactos de uma melhoria na qualidade das escolas, versus uma melhoria das condições socioeconômicas das famílias, na freqüência e no atraso escolar do estudante. Os resultados mostraram que políticas públicas voltadas para um aumento do salário, ou da escolaridade do professores, assim como para uma melhoria dos equipamentos disponíveis na escola, beneficiarão mais as crianças pertencentes a famílias com chefes pouco escolarizados e/ou com uma baixa renda familiar per capita. Além disso, percebeu-se que em Pernambuco, a política pública de maior impacto sobre a freqüência escolar foi o aumento do salário do professor e sobre o atraso escolar foi o aumento da escolaridade do chefe de família. Para São Paulo, a melhor opção seria aumentar a renda familiar per capita, tanto no caso da freqüência, quanto no caso do atraso escolar. Conclui-se, então, que a adoção de políticas públicas deve levar em consideração o lugar onde as mesmas serão adotadas, bem como os objetivos a serem atingidos na área da educação. Acredita-se, no entanto, que políticas voltadas para melhorar as características familiares geram resultados somente no longoprazo. Por isso, sugere-se que no curto-prazo sejam priorizadas as políticas capazes de melhorar a qualidade das escolas públicas que oferecem o ensino fundamental, na área urbana, dos dois estados. Sugere-se, também, que os investimentos públicos na área da educação priorizem Pernambuco, em função das diferenças socioeconômicas existentes entre os dois estados. / Many studies in the economic field have showed the importance of education to increase the wellbeing of the society. However, the adult population in Brazil has, on average, 6.4 years of education, which is considered low when compared to other Latin American countries. Trying to improve the educational indicators, in the 90’s, many changes were implemented in the Brazilian public school system. The objective of the present study is to evaluate school infrastructure and family characteristics affecting children’s decision to study or to drop out from school (frequency and school delay in primary and secondary levels). The analyses were concentrated in public schools located in the urban areas of Pernambuco and São Paulo states. Demographic census, school census and government spending data from 2000 were used to run a Probit model, whether a child was in school or not and whether a child was in lower grade for his age or not. Interactions between family’s characteristics and school infrastructure, as well as some simulations, were done to verify what would be the best possible resource allocation to improve children’s education. The results showed that public policies that increased teacher’s schooling or teacher’s salaries, and policies that improved the school’s equipments would benefit more children from low income families and/or with low educated parents. Moreover, in Pernambuco, the teacher’s salary caused the greater impact in the children’s frequency to school, while the teacher’s schooling had the larger impact in the children’s school delay. On the other hand, in São Paulo, the best option would be to increase per capita family income, either to increase frequency or decrease delay in school. It is known that policies to improve families’ characteristics will produce results more in the long run. Therefore, policies that would improve the schools’ infrastructure and consequently the quality of the schools are suggested in the short run. Moreover, the investment should focus Pernambuco due to the lower socio-economic indicators compared to São Paulo.

資料品質的好壞會影響決策品質以及各種行動的執行成果，所以資料品質在近年來越來越受到重視。本研究包含了兩個資料庫，一個是產業創新調查資料庫，一個是95年工商及服務業普查資料庫，資料品質的好壞對一個資料庫來說也是一個相當重要的議題，資料庫中往往都含有錯誤的資料，錯誤的資料會導致分析結果出現偏差的狀況，所以在進行資料分析之前，資料清理與整理是必要的事前處理工作。 我們從母體資料分佈與樣本資料分佈得知，在清理與整理資料之前，平均創新員工人數為92.08，平均工商員工人數為135.54；在清理與整理資料之後，我們比較兩個資料庫員工人數的相關性、相似性、距離等性質，結果顯示兩個資料庫的資料一致性極高，平均創新員工人數與平均工商員工人數分別為39.01與42.12，跟母體平均員工人數7.05較為接近，也顯示出資料清理的重要性。 本研究使用的方法為事後分層抽樣，主要研究目的是要利用產業創新調查樣本來推估95年工商及服務業普查母體資料的準確性。產業創新調查樣本在推估母體從業員工人數與母體營業收入方面皆出現高估的狀況，推測出現高估的原因是產業創新調查母體為前中華徵信所出版的五千大企業名冊為母體底冊，而工商及服務業普查企業資料為一般企業母體底冊。因此，我們利用和產業創新調查樣本所相對應的工商普查樣本做驗證，發現95年工商及服務業普查樣本與產業創新調查樣本的資料一致性極高。 / Data quality is good or bad will affect the decision quality and achievements in the implementation of various actions, so the data quality more and more attention in recent years. This study consists of two databases, one is the industrial innovation survey database, another is the industry and commerce census database in ninety five years. Data quality is good or bad of a database is also a very important issue, the database often contain erroneous information, incorrect information will result in bias of the analysis results. So before carrying out data analysis, data cleaning and consolidation is necessary. We can know from the parent and the sample data distribution. Before data cleaning and consolidation, the average number of innovation employees is 92.08, and the average number of industrial-commerce employees is 135.54. After data cleaning and consolidation, we compare the correlation, similarity, and distance of the number of employees in two databases. The results show the data consistency of the two databases is very high, the average number of innovation employees is 39.01, and the average number of industrial-commerce employees is 42.12, it is closer to the average number of parent employees 7.05. This also shows the importance of data cleaning. Method used in the study is post-stratified sampling, the main research objective is to use industrial innovation survey sample to estimate the data accuracy of the industry and commerce census in ninety five years. Use industrial innovation survey sample to estimate the number of employees and operating revenue in the industry and commerce census in ninety five years are both overestimated, we guess the reason is that the parent of the industrial innovation survey is five thousand large enterprises published by China Credit Information, and the parent of the industry and commerce census is general enterprises. Therefore, we use the corresponding industry and commerce census sample for validation. The results show that the data consistency of the industrial innovation survey sample and the industry and commerce census sample in ninety five years is very high.

From the Proceedings of the 1972 Meetings of the Arizona Section - American Water Resources Assn. and the Hydrology Section - Arizona Academy of Science - May 5-6, 1972, Prescott, Arizona / Inventory-prediction relationships between snowpack conditions and forest attributes may be useful in estimating water yields derived from snow, but such relationships are developed usually from source data collected over a short time period. Analyses of long-term data suggest inventory-prediction relationships developed from limited data may have more general application, however. Available records from 18 snow courses in the ponderosa pine type in Arizona provided source data in this study, which was designed to empirically analyze inventory-prediction relationships developed from long-term snow survey records. The primary hypothesis tested and evaluated by statistically analyzing the family of regression equations representing a snow course, was that, given a precipitation input, the distribution of snowpack water equivalent at peak seasonal accumulation is determined by the spatial arrangement of the forest cover, e.g. basal area. Generally 12 of the 18 snow courses evaluated appeared to support the hypothesis, three courses did not, and three courses were considered inconclusive.

This study, quantitative determinants of need and demand for primary health care in the District of Columbia (DCPC), analysed data over a twenty-year period from 1985 to 2004, on need and demand for primary care using standard and epidemiologically innovative statistical measures for physician distributions and socio-demographic characteristics in the District of Columbia (DC). The study attempted to answer the question: Using U.S census-based small area aggregations, Census Tract Groupings (CTGs), that are not zip-code areas or legislative/political boundaries, can a multivariate predictive model be developed using physician distributions, primary care service index (PCSI) and composite need scores (CNS) to explain variations in primary care visits shortages? Primary care visits shortages and priority scores (PCPS) were calculated, analysed and presented for CTGs in the District of Columbia from 1985 to 2004. Results indicated that the abundant supply of DC-based physicians – indicated by decreasing population per physician ratios of 239 (1985) to 146 (2004) – appear to be a long-term trend. As raw physician counts increased, the ratio of satisfied visits to demand decreased, from 2.62 (1985) to 1.80 (in 2004). This result appears to indicate that, due to inequities in distribution of primary care physicians in DC’s small areas, the increasing numbers of primary care physicians were by themselves, not sufficient to address the city’s overall primary care visits need. Epidemiological profiles and physician distribution analytical methods appear to be useful for small area analysis of urban primary care shortage areas and for setting priorities. Physician rates per 1,000 pop may be a necessary but not sufficient statistic for estimating urban primary health care needs / Health Studies / D. Litt. et Phil. (Health Studies)