990 resultados para composite indicator


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Over the last two decades social vulnerability has emerged as a major area of study, with increasing attention to the study of vulnerable populations. Generally, the elderly are among the most vulnerable members of any society, and widespread population aging has led to greater focus on elderly vulnerability. However, the absence of a valid and practical measure constrains the ability of policy-makers to address this issue in a comprehensive way. This study developed a composite indicator, The Elderly Social Vulnerability Index (ESVI), and used it to undertake a comparative analysis of the availability of support for elderly Jamaicans based on their access to human, material and social resources. The results of the ESVI indicated that while the elderly are more vulnerable overall, certain segments of the population appear to be at greater risk. Females had consistently lower scores than males, and the oldest-old had the highest scores of all groups of older persons. Vulnerability scores also varied according to place of residence, with more rural parishes having higher scores than their urban counterparts. These findings support the political economy framework which locates disadvantage in old age within political and ideological structures. The findings also point to the pervasiveness and persistence of gender inequality as argued by feminist theories of aging. Based on the results of the study it is clear that there is a need for policies that target specific population segments, in addition to universal policies that could make the experience of old age less challenging for the majority of older persons. Overall, the ESVI has displayed usefulness as a tool for theoretical analysis and demonstrated its potential as a policy instrument to assist decision-makers in determining where to target their efforts as they seek to address the issue of social vulnerability in old age. Data for this study came from the 2001 population and housing census of Jamaica, with multiple imputation for missing data. The index was derived from the linear aggregation of three equally weighted domains, comprised of eleven unweighted indicators which were normalized using z-scores. Indicators were selected based on theoretical relevance and data availability.

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Over the last two decades social vulnerability has emerged as a major area of study, with increasing attention to the study of vulnerable populations. Generally, the elderly are among the most vulnerable members of any society, and widespread population aging has led to greater focus on elderly vulnerability. However, the absence of a valid and practical measure constrains the ability of policy-makers to address this issue in a comprehensive way. This study developed a composite indicator, The Elderly Social Vulnerability Index (ESVI), and used it to undertake a comparative analysis of the availability of support for elderly Jamaicans based on their access to human, material and social resources. The results of the ESVI indicated that while the elderly are more vulnerable overall, certain segments of the population appear to be at greater risk. Females had consistently lower scores than males, and the oldest-old had the highest scores of all groups of older persons. Vulnerability scores also varied according to place of residence, with more rural parishes having higher scores than their urban counterparts. These findings support the political economy framework which locates disadvantage in old age within political and ideological structures. The findings also point to the pervasiveness and persistence of gender inequality as argued by feminist theories of aging. Based on the results of the study it is clear that there is a need for policies that target specific population segments, in addition to universal policies that could make the experience of old age less challenging for the majority of older persons. Overall, the ESVI has displayed usefulness as a tool for theoretical analysis and demonstrated its potential as a policy instrument to assist decision-makers in determining where to target their efforts as they seek to address the issue of social vulnerability in old age. Data for this study came from the 2001 population and housing census of Jamaica, with multiple imputation for missing data. The index was derived from the linear aggregation of three equally weighted domains, comprised of eleven unweighted indicators which were normalized using z-scores. Indicators were selected based on theoretical relevance and data availability.

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El estudio analiza los determinantes de uso y acceso a las tecnologías de información y comunicación en personas de bajos ingresos en pasases como Colombia, México y Perú. El punto central está en analizar las diferencias entre países de acuerdo a diferentes variables socioeconómicas. Se encuentra que la variable que más explica el nivel de acceso digital es la escolaridad. De otro lado no se encuentra una brecha por género sino en Perú. Los resultados también indican que cuando solo se tienen en cuenta las tecnologías más ‘avanzadas’, las diferencias entre la población son más notorias

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The aim of this paper is to propose a composite indicator to measure ‘familism’, conformed by two main dimensions: values on one hand (duty to take care of the family, importance of the family, sacrifices for the family...) and behaviours, on the other (predominance of married couples instead of cohabitant couples, high frequency of contact among members, family support…). In contrast to this idea of ‘familism’ we find that of individualism, that defends the independence of family members, tolerance to new family models, cohabitation instead of marriage,… , that implies less frequency of interaction among relatives and more governmental intervention towards children and elderly care. We observe that a higher degree of ‘familism’ does not always match with a lower degree of individualism when both dimensions, attitudes and behaviours, are considered. For instance, we find countries which are individualist in values but not in behaviours (such as Spain), whilst others, such as Japan, are ‘familist’ both in values and behaviours and finally, others, such as Sweden, are individualist with regards to both perspectives. We propose two different methodological approaches to the question. First, we use microdata from the Family, Work and Gender Roles module of the International Social Survey Programme-ISSP (years 1994, 2002 and 2012), in which 45 countries have participated. Information for the three rounds is collected for 17 countries with very different family values and welfare systems (for instance, Sweden, Japan, Russia, Spain, United Kingdom or the United States). From this data source, we create a first index on familism that can be related to individual sociodemographic characteristics. Second, we complete it through the inclusion of macro data (such as the divorce rate per country), in order to refine comparison at a country level by adding new variables to the previous index.

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The aim of this paper is to propose a composite indicator to measure ‘familism’, conformed by two main dimensions: values on one hand (duty to take care of the family, importance of the family, sacrifices for the family...) and behaviours, on the other (predominance of married couples instead of cohabitant couples, high frequency of contact among members, family support…). In contrast to this idea of ‘familism’ we find that of individualism, that defends the independence of family members, tolerance to new family models, cohabitation instead of marriage,… , that implies less frequency of interaction among relatives and more governmental intervention towards children and elderly care. We observe that a higher degree of ‘familism’ does not always match with a lower degree of individualism when both dimensions, attitudes and behaviours, are considered. For instance, we find countries which are individualist in values but not in behaviours (such as Spain), whilst others, such as Japan, are ‘familist’ both in values and behaviours and finally, others, such as Sweden, are individualist with regards to both perspectives. We propose two different methodological approaches to the question. First, we use microdata from the Family, Work and Gender Roles module of the International Social Survey Programme-ISSP (years 1994, 2002 and 2012), in which 45 countries have participated. Information for the three rounds is collected for 17 countries with very different family values and welfare systems (for instance, Sweden, Japan, Russia, Spain, United Kingdom or the United States). From this data source, we create a first index on familism that can be related to individual sociodemographic characteristics. Second, we complete it through the inclusion of macro data (such as the divorce rate per country), in order to refine comparison at a country level by adding new variables to the previous index.

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Urban sustainability and sustainable urban development concepts have been identified as the ultimate goal of many contemporary planning endeavours and have become central concepts on which the urban development policies are formulated. In the confinement of these concepts, land use and transport integration has been highlighted as one of the most important policy objectives considering the interrelationship between them and available intervention means of planning. While its interpretation varies, in Australia, it has been embraced as integration of land use and transport planning/policies and been an integral part of regional and local plans. Accordingly, a number of principles have been defined to guide its implementation, to name a few, planning for compact and connected urban development, encouraging active transport modes, creation of mixed-use activity centres and public transport precincts, provision of high quality public transport services, and enhancing character and amenity of urban areas. However, there is lack of an evaluation framework to measure the extent of achievement of implementation of these principles. In pursuit of filling this gap, this study aims to devise an evaluation framework to measure the performance of urban settings according to the integration principles in South East Queensland, Australia context and to demarcate problematic areas which can be intervened by planning tools...

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The importance of community resilience to natural disasters is being increasingly recognised. This paper presents an approach for the development of surrogate indicators for comprehensive assessment of community resilience, which is crucial in the context of predicted increase in natural disasters resulting from extreme weather events due to climate change. The use of surrogate indicators is advocated because a comprehensive assessment of community resilience across various thematic areas and associated key areas requires the measurement of a large number of resilience indicators which is not always feasible due to time and resource constraints, To overcome this, researchers tend to use secondary data sources, which are easily available but not always reliable. This highlights the need for surrogate indicators that are easy to measure from reliable primary data sources and are adequate to capture the resilience of a community. Firstly, the paper discusses the two approaches for defining and conceptualising community resilience and the need to account for the complex interrelationships between thematic areas, key areas and resilience indicators and their implications for research. Secondly, a comprehensive framework for the assessment of community resilience is proposed and the difficulties associated with the measurement of overall resilience of the community are discussed. Thirdly, the paper explains a two-step approach to develop surrogate indicators highlighting the necessity and challenges associated with it. Finally, the proposed approach is elaborated with a simple example for better understanding.

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Significant attention has been given in urban policy literature to the integration of land-use and transport planning and policies—with a view to curbing sprawling urban form and diminishing externalities associated with car-dependent travel patterns. By taking land-use and transport interaction into account, this debate mainly focuses on how a successful integration can contribute to societal well-being, providing efficient and balanced economic growth while accomplishing the goal of developing sustainable urban environments and communities. The integration is also a focal theme of contemporary urban development models, such as smart growth, liveable neighbourhoods, and new urbanism. Even though available planning policy options for ameliorating urban form and transport-related externalities have matured—owing to growing research and practice worldwide—there remains a lack of suitable evaluation models to reflect on the current status of urban form and travel problems or on the success of implemented integration policies. In this study we explore the applicability of indicator-based spatial indexing to assess land-use and transport integration at the neighbourhood level. For this, a spatial index is developed by a number of indicators compiled from international studies and trialled in Gold Coast, Queensland, Australia. The results of this modelling study reveal that it is possible to propose an effective metric to determine the success level of city plans considering their sustainability performance via composite indicator methodology. The model proved useful in demarcating areas where planning intervention is applicable, and in identifying the most suitable locations for future urban development and plan amendments. Lastly, we integrate variance-based sensitivity analysis with the spatial indexing method, and discuss the applicability of the model in other urban contexts.

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Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6–6·6), from 65·3 years (65·0–65·6) in 1990 to 71·5 years (71·0–71·9) in 2013, HALE at birth rose by 5·4 years (4·9–5·8), from 56·9 years (54·5–59·1) to 62·3 years (59·7–64·8), total DALYs fell by 3·6% (0·3–7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6–29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non–communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition—in which increasing sociodemographic status brings structured change in disease burden—is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions.

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Genuine Savings (GS), also known as ‘net adjusted savings’, is a composite indicator of the sustainability of economic development. Genuine Savings reflects year-on-year changes in the total wealth or capital of a country, including net investment in produced capita, investment in human capital, depletion of natural resources, and damage caused by pollution. A negative Genuine Savings rate suggests that the stock of national wealth is declining and that future utility must be less than current utility, indicating that economic development is non-sustainable (Hamilton and Clemens, 1999). We make use of data over a 150 year period to examine the relationship between Genuine Savings and a number of indicators of well-being over time, and compare the relative changes in human, produced, and components of natural capital over the period. Overall, we find that the magnitude of genuine savings is positively related to changes in future consumption, with some evidence of a cointegrating relationship. However, the relationships between genuine savings and infant mortality or average heights are less clear.

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Cette étude porte sur la vitalité des institutions collégiales situées dans trois régions administratives : Abitibi-Témiscamingue, Côte-Nord et Gaspésie –Îles de-la-Madeleine. Ces régions sont et seront aux prises avec une conjoncture démographique défavorable qui risque fort de miner leurs effectifs étudiants déjà bien faibles. Parmi celles-ci, nous cherchons à connaître les régions administratives ainsi que les institutions collégiales les plus à risque de subir des compressions ou de faire appel à des subventions gouvernementales spéciales afin de demeurer viables. Ce questionnement est dédoublé d’une considération méthodologique : comment pouvons-nous quantifier ce rapport de force entre les institutions? Afin de répondre aux exigences de cette question de recherche, un indicateur composite a été construit à l'aide de la sommation de nombreux indices regroupant cinq dimensions jugées essentielles à une telle étude : la vitalité démographique des institutions, la force de rétention du bassin étudiant interne, la force d’attraction exercée sur le bassin étudiant externe, la vulnérabilité financière ainsi que la vitalité de l'offre de formation. En vertu des résultats de l’indicateur composite, les régions se classent selon l’ordre suivants : l’Abitibi Témiscamingue, la Côte-Nord, la Gaspésie – Îles de la Madeleine. Pour les institutions collégiales, on distingue trois sous-groupes, le premier composé du Cégep de Sept-Îles et des campus de Gaspé et de Rouyn-Noranda, le deuxième, du Cégep de Baie- Comeau et du campus de Val-d’Or et le troisième, des Centres d’études collégiales des Îles et de Baie-des-Chaleurs ainsi que du campus d'Amos.

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Tous mes travaux ont été réalisés à l'aide du logiciel stata 11.

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A new approach to well-being measurement is presented in this paper based on multidimensional hierarchical human needs and motivation. This paper empirically applies this new measure of well-being to Australia for the period 1985–2000. This hierarchical approach is underpinned by a rigorous psychological theory of human motivation. Hierarchical human needs are classified into five categories. Eight indicators have been chosen to reflect these categories. A composite indicator of these eight indicators is calculated. This paper concludes that it is necessary to consider multidimensional human needs and motivation when analysing and seeking to improve well-being through economic and social development activities.

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Through the astute analysis of official statistics, we can gather a more complete picture of the economic performance of a given country, and understand more fully what have been its drivers, leading to a more effective use of national resources and a more efficient design of policy options. However, the myriad of information and numerical data across the system of macroeconomic statistics can be challenging to interpret in a straightforward manner. In order to synthetically assess economic performance across countries in Latin America we propose the use of a composite indicator, which builds upon the methodology of Khramov and Lee (2013) and incorporates key indicators from each of the pillars of macroeconomic statistics: the System of National Accounts, the Balance of Payments Statistics, Monetary and Financial Statistics and Public Finance Statistics. Through a composite examination of key statistical indicators in each country across their long-term trends, we can more fully understand the underlying macroeconomic dynamics.