798 resultados para Composite indicator
Resumo:
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.
Resumo:
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.
Resumo:
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
Resumo:
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.
Resumo:
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.
Resumo:
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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This study examines how structural determinants influence intermediary factors of child health inequities and how they operate through the communities where children live. In particular, we explore individual, family and community level characteristics associated with a composite indicator that quantitatively measures intermediary determinants of early childhood health in Colombia. We use data from the 2010 Colombian Demographic and Health Survey (DHS). Adopting the conceptual framework of the Commission on Social Determinants of Health (CSDH), three dimensions related to child health are represented in the index: behavioural factors, psychosocial factors and health system. In order to generate the weight of the variables and take into account the discrete nature of the data, principal component analysis (PCA) using polychoric correlations are employed in the index construction. Weighted multilevel models are used to examine community effects. The results show that the effect of household’s SES is attenuated when community characteristics are included, indicating the importance that the level of community development may have in mediating individual and family characteristics. The findings indicate that there is a significant variance in intermediary determinants of child health between-community, especially for those determinants linked to the health system, even after controlling for individual, family and community characteristics. These results likely reflect that whilst the community context can exert a greater influence on intermediary factors linked directly to health, in the case of psychosocial factors and the parent’s behaviours, the family context can be more important. This underlines the importance of distinguishing between community and family intervention programmes.
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The aim of this study was to devise a method for computing a composite indicator that measures the regional degree of exposure to external knowledge sources. On the basis of this indicator, we propose a typology of regions according to their potential capacity to access extra-local items of knowledge, which might help them to recombine complementary elements of such an asset to produce a higher number of new ideas. Building on various research streams that have been relatively independent to date, we summarize a non-exhaustive instrumental list of recent studies that motivates our approach and the construction of our complex indicator, which can be used to appraise the extent to which each region is in an optimal position to access external innovative resources.
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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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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.
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This collection of essays examines various aspects of regional development and the issues of internationalization. The first essay investigates the implications of the impressive growth of China from a rural-urban perspective and addresses the topic of convergence in China by employing a non-parametrical approach to study the distribution dynamics of per capita income at province, rural and urban levels. To better understand the degree of inequality characterizing China and the long-term predictions of convergence or divergence of its different territorial aggregations, the second essay formulates a composite indicator of Regional Development (RDI) to benchmark development at province and sub-province level. The RDI goes beyond the uni-dimensional concept of development, generally proxied by the GDP per capita, and gives attention to the rural-urban dimension. The third essay “Internationalization and Trade Specialization in Italy. The role of China in the international intra-firm trade of the Italian regions” - deals with another aspect of regional economic development: the progressive de-industrialisation and de-localization of the local production. This essay looks at the trade specialization of selected Italian regions (those regions specialized in manufacturing) and the fragmentation of the local production on a global scale. China represents in this context an important stakeholder and the paper documents the importance of this country in the regional intra-firm trade.
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Advances in information technology and global data availability have opened the door for assessments of sustainable development at a truly macro scale. It is now fairly easy to conduct a study of sustainability using the entire planet as the unit of analysis; this is precisely what this work set out to accomplish. The study began by examining some of the best known composite indicator frameworks developed to measure sustainability at the country level today. Most of these were found to value human development factors and a clean local environment, but to gravely overlook consumption of (remote) resources in relation to nature’s capacity to renew them, a basic requirement for a sustainable state. Thus, a new measuring standard is proposed, based on the Global Sustainability Quadrant approach. In a two‐dimensional plot of nations’ Human Development Index (HDI) vs. their Ecological Footprint (EF) per capita, the Sustainability Quadrant is defined by the area where both dimensions satisfy the minimum conditions of sustainable development: an HDI score above 0.8 (considered ‘high’ human development), and an EF below the fair Earth‐share of 2.063 global hectares per person. After developing methods to identify those countries that are closest to the Quadrant in the present‐day and, most importantly, those that are moving towards it over time, the study tackled the question: what indicators of performance set these countries apart? To answer this, an analysis of raw data, covering a wide array of environmental, social, economic, and governance performance metrics, was undertaken. The analysis used country rank lists for each individual metric and compared them, using the Pearson Product Moment Correlation function, to the rank lists generated by the proximity/movement relative to the Quadrant measuring methods. The analysis yielded a list of metrics which are, with a high degree of statistical significance, associated with proximity to – and movement towards – the Quadrant; most notably: Favorable for sustainable development: use of contraception, high life expectancy, high literacy rate, and urbanization. Unfavorable for sustainable development: high GDP per capita, high language diversity, high energy consumption, and high meat consumption. A momentary gain, but a burden in the long‐run: high carbon footprint and debt. These results could serve as a solid stepping stone for the development of more reliable composite index frameworks for assessing countries’ sustainability.
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Paper submitted to the 44th European Congress of the European Regional Science Association, Porto, 25-29 August 2004.
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In the paper, we construct a composite indicator to estimate the potential of four Central and Eastern European countries (the Czech Republic, Hungary, Poland and Slovakia) to benefit from productivity spillovers from foreign direct investment (FDI) in the manufacturing sector. Such transfers of technology are one of the main benefits of FDI for the host country, and should also be one of the main determinants of FDI incentives offered to investing multinationals by governments, but they are difficult to assess ex ante. For our composite index, we use six components to proxy the main channels and determinants of these spillovers. We have tried several weighting and aggregation methods, and we consider our results robust. According to the analysis of our results, between 2003 and 2007 all four countries were able to increase their potential to benefit from such spillovers, although there are large differences between them. The Czech Republic clearly has the most potential to benefit from productivity spillovers, while Poland has the least. The relative positions of Hungary and Slovakia depend to some extent on the exact weighting and aggregation method of the individual components of the index, but the differences are not large. These conclusions have important implications both the investment strategies of multinationals and government FDI policies.