32 research outputs found

    Cross-National Comparison of Internal Migration

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    Internal migration is the most significant process driving changes in the pattern of human settlement across much of the world, yet remarkably few attempts have been made to compare internal migration between countries. Differences in data collection, in geography and in measurement intervals seriously hinder rigorous cross-national comparisons. We supplement data from the University of Minnesota IPUMS collection to make comparisons between 28 countries using both five year and lifetime measures of migration, and focusing particularly on migration intensity and spatial impacts. We demonstrate that Courgeau's k (Courgeau 1973) provides a powerful mechanism to transcend differences in statistical geography. Our results reveal widespread differences in the intensity of migration, and in the ages at which it occurs, with Asia generally displaying low mobility and sharp, early peaks, whereas Latin America and the Developed Countries show higher mobility and flatter age profiles usually peaking at older ages. High mobility is commonly offset by corresponding counter-flows but redistribution through internal migration is substantial in some countries, especially when computed as a lifetime measure. Time series comparisons show five year migration intensities falling in most countries (China being a notable exception), although lifetime data show more widespread rises due to age structure effects. Globally, we estimate that 740 million people, one in eight, were living within their home country but outside their region of birth, substantially above the commonly cited figure of 200 million international migrants.Internal migration, comparative analysis, migration intensity, redistribution, age, geography, lifetime, IPUMS

    Cross-National Comparisons of Internal Migration

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    Internal migration is the most significant process driving changes in the pattern of human settlement across much of the world, yet remarkably few attempts have been made to compare internal migration between countries. Differences in data collection, in geography and in measurement intervals seriously hinder rigorous cross-national comparisons. We supplement data from the University of Minnesota IPUMS collection to make comparisons between 28 countries using both five year and lifetime measures of migration, and focusing particularly on migration intensity and spatial impacts. We demonstrate that Courgeau's k (Courgeau 1973) provides a powerful mechanism to transcend differences in statistical geography. Our results reveal widespread differences in the intensity of migration, and in the ages at which it occurs, with Asia generally displaying low mobility and sharp, early peaks, whereas Latin America and the Developed Countries show higher mobility and flatter age profiles usually peaking at older ages. High mobility is commonly offset by corresponding counter-flows but redistribution through internal migration is substantial in some countries, especially when computed as a lifetime measure. Time series comparisons show five year migration intensities falling in most countries (China being a notable exception), although lifetime data show more widespread rises due to age structure effects. Globally, we estimate that 740 million people, one in eight, were living within their home country but outside their region of birth, substantially above the commonly cited figure of 200 million international migrants.Internal migration, comparative analysis, migration intensity, redistribution, age, geography, lifetime, IPUMS

    Global Indonesian Diaspora: how many are there and where are they?

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    In the last few years, there is an increasing interest in connecting Indonesian diaspora around the world in order to assist in the national development. A recent event called "Congress of Indonesian Diaspora" held by Indonesian Diaspora Network (IDN) in Jakarta has been conducted to focus on this issue. Nevertheless, there is still little known about the actual size and composition of the global Indonesian diaspora. This paper attempts to contribute to fill in this gap by analysing migration patterns and several specific demographic factors among Indonesian diaspora as part of the largest global community. The paper will also explore the potential impacts of Indonesian diaspora could play in Indonesian development

    Cross-National Comparison of Internal Migration

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    Internal migration is the most significant process driving changes in the pattern of human settlement across much of the world, yet remarkably few attempts have been made to compare internal migration between countries. Differences in data collection, in geography and in measurement intervals seriously hinder rigorous cross-national comparisons. We supplement data from the University of Minnesota IPUMS collection to make comparisons between 28 countries using both five year and lifetime measures of migration, and focusing particularly on migration intensity and spatial impacts. We demonstrate that Courgeau's k (Courgeau 1973) provides a powerful mechanism to transcend differences in statistical geography. Our results reveal widespread differences in the intensity of migration, and in the ages at which it occurs, with Asia generally displaying low mobility and sharp, early peaks, whereas Latin America and the Developed Countries show higher mobility and flatter age profiles usually peaking at older ages. High mobility is commonly offset by corresponding counter-flows but redistribution through internal migration is substantial in some countries, especially when computed as a lifetime measure. Time series comparisons show five year migration intensities falling in most countries (China being a notable exception), although lifetime data show more widespread rises due to age structure effects. Globally, we estimate that 740 million people, one in eight, were living within their home country but outside their region of birth, substantially above the commonly cited figure of 200 million international migrants

    Migration patterns : people on the move

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    25 page(s

    Estimasi migrasi penduduk di Indonesia : pemanfaatan data sensus dan Supas

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    16 page(s

    Alternative scenarios in forecasting demographic variables : the case of Indonesia

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    Studies on population dynamic have revealed that as the trends and patterns of demographic variables have changed the distribution shapes may also change. In fertility, for example, the decline in total fertility rates (TFR) may be followed by the shifting in the age of childbearing which in turn distorting the shape of fertility rates. Despite these facts, however, most forecasting done in developing countries has traditionally assumed the constant patterns of demographic variables, whereas the level have changed (e.g. TFR and IMR). This study attempts to fill this gap by contributing an alternative scenario in forecasting the demographic variables. Using multiple data resources (census and surveys), assumption for forecasting was constructed by incorporating variation in the age profile as well as in the level of demographic components. Demographic models, which include the models of demographic schedules and Heligman-Pollard, were applied. This study demonstrated how it is possible, using limited data that available in Indonesia and in many developing countries, to construct alternative ‘dynamic’ scenarios. It has been done so by applying some advanced demographic methods to Indonesia data, and draw evidence from other, similar countries. An alternative ‘dynamic’ scenario was implemented by using the changes of levels and patterns of demographic parameters over the forecasting period.26 page(s

    Migrated hoursehold in Indonesia : an exploration of the intercensal survey data

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    19 page(s

    Comparing internal migration between countries using Courgeau’s K

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    Building on recent work for the 2009 UN Human Development Report, this chapter aims to explore one of the measures identified in a recent review by Bell et al. (Journal of the Royal Statistical Society A 165(3):435–464, 2002), as originally proposed by Courgeau (Population 28:511–537, 1973a). The particular appeal of Courgeau’s ‘k’ statistic is that it purports to provide a single summary index of migration intensity which transcends the differences in zonal systems that commonly confound cross-national comparisons. Courgeau’s k is applied to examine differences in mobility between 27 countries, using census data drawn primarily from the Integrated Public Use Microdata Series (IPUMS) database maintained by the University of Minnesota. Our goals of the chapter are threefold: first, to establish the strengths and limitations of Courgeau’s k as a summary measure of internal migration; second, to identify the extent of international differences in mobility; and third, to determine the general trajectory of internal migration over time

    Maternal health: Past, present and moving forward

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    Maternal health is commonly referred to the health of women during pregnancy, childbirth and the postnatal period. These are the most important stages during the parenthood experience. It is not surprising that many programs related with maternal health have been widely implemented in many countries. Although important progress has been made in the last two decades, some concerns such high maternal mortality rates remain which include in Indonesia with special attention in the least developed regions.This paper attempts to understand how the changes of maternal health in Indonesia over time and its potential trends in the next future. It focuses on three main concerns: (a) the trends of maternal mortality and its determinants; (b) the utilization of maternal health service and its quality, and (c) the health coverage on maternal health. The analysis considers regional variation and the link to the broader socioeconomic development patterns. A case study on three delay issues: (i) the decision to seek care, (ii) arrival at a health facility; and (iii) the provision of adequate care; will be presented based on our latest empirical studies in the province of Nusa Tenggara Timur (NTT)
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