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86 result(s) for "Number of Poor Population"
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The Effect of Population, Human Development Index, and Gross Regional Domestic Product on Poor Population
Purpose: This study aims to determine the effect of population, Human Development Index and Gross Regional Domestic Product on the number of poor people in Minahasa District   Theoretical Framework: The data used in this study uses secondary data sourced from the Central Bureau of Statistics for North Sulawesi Province in 2011-2021. This type of research is quantitative research.   Design/Methodology/Approach: The analysis technique used in this study is panel data regression analysis.   Findings: The results showed that population, Human Development Index, and Gross Regional Domestic Product have an effect on the number of poor people. The population number and Human Development Index variables have a positive and significant effect on the number of poor people. The Gross Regional Domestic Product variable has a negative and significant effect on the population   Research Practical and Social Implications: The Gross Regional Domestic Product variable has a negative and significant effect on the population.   Originality/Value: Partially the population has a positive and significant effect on the numberpoor people in Minahasa, North Minahasa, South Minahasa,Southeast Minahasa in 2012-2021.
Factors Affecting Poverty in Indonesia: A Panel Data Approach
Poverty is a significant disease in economic development. Thus, the main objective of a country's economic development is to reduce the number of poor people by increasing gross regional domestic product, investment, regional spending, and infrastructure. The purpose of this study is to see and analyze the impact of an increase in gross regional domestic product, investment, regional spending, and infrastructure improvements on the number of poor people. This study uses panel data regression with path analysis. This method can explain the correlated variables by using a sequential model temporarily and identify the path of the cause of a particular variable to other variables that are influenced by it. Data sources come from the Central Bureau of Statistics and Bank Indonesia from 34 provinces in 2015-2019. The study results indicate that an increase in investment and regional spending indirectly affects the reduction of the number of poor people through an increase in the gross regional domestic product. Investment, exchange rates, road length, human development index, and regional spending affect economic growth. Regional expenditure and total population directly affect the number of poor people, while investment does not directly affect the number of poor people.
Population aging : is Latin America ready?
The past half-century has seen enormous changes in the demographic makeup of Latin America and the Caribbean (LAC). In the 1950s, LAC had a small population of about 160 million people, less than today's population of Brazil. Two-thirds of Latin Americans lived in rural areas. Families were large and women had one of the highest fertility rates in the world, low levels of education, and few opportunities for work outside the household. Investments in health and education reached only a small fraction of the children, many of whom died before reaching age five. Since then, the size of the LAC population has tripled and the mostly rural population has been transformed into a largely urban population. There have been steep reductions in child mortality, and investments in health and education have increased, today reaching a majority of children. Fertility has been more than halved and the opportunities for women in education and for work outside the household have improved significantly. Life expectancy has grown by 22 years. Less obvious to the casual observer, but of significance for policy makers, a population with a large fraction of dependent children has evolved into a population with fewer dependents and a very large proportion of working-age adults. This overview seeks to introduce the reader to three groups of issues related to population aging in LAC. First is a group of issues related to the support of the aging and poverty in the life cycle. Second is the question of the health transition. Third is an understanding of the fiscal pressures that are likely to accompany population aging and to disentangle the role of demography from the role of policy in that process.
The invisible poor : a portrait of rural poverty in Argentina
Many of the poorest Argentines are invisible in official statistics. Four million rural residents and another 12 million in small urban areas lie outside the reach of the Permanent Household Survey (EPH), which is the basis for poverty figures and most data on social conditions in the country. According to the best estimate, roughly a third of rural residents, more than a million people, live in poverty. The urban bias common too many countries have been accentuated by the lack of data on the rural poor. With little information on their condition, it is exceedingly difficult for policy makers to design policies and programs to help move people out of poverty. The report is organized as follows: chapter one profiles rural poverty base on the limited existing data, including the first in-depth analysis of rural poverty ever conducted with the 2001 population census. Chapter two presents findings from the new qualitative study of the rural poor conducted in the first half of 2007. Finally, chapter three concludes with a discussion of methodology for rural poverty analysis, focusing on the issues related to expanding the EPH to full national coverage.
Health, nutrition, and population in Madagascar 2000-09
With an income per capita US$400 in 2008, Madagascar is one of the poorest countries in the world. Poverty is widespread but with significant urban-rural differences (52 percent versus 74 percent). Health, nutrition, and the fight against communicable diseases and HIV/AIDS are key goals of the country's poverty reduction strategy, the Madagascar Action Plan 2007-2012. The National Health Sector and Social Protection Development Plan 2007-2011 was developed to strengthen the health system and improve service delivery to reduce neonatal, child and maternal mortality, address malnutrition and control communicable illnesses. The health sector has benefited from increasing investment over the last years, and a number of studies and surveys have been carried out, providing a wealth of information that is yet to be analyzed in a complementary way. This Country Status Report (CSR) seeks to capitalize on all of the existing data in the health sector, compare Madagascar to countries of similar income levels and assess the results achieved by the health system. The CSR provides an analysis of the population's health and nutrition status by linking health outcomes, household/individual behaviors, community factors, government interventions, and service provision. Although Madagascar is performing beer than the SSA average of 645 per 100,000 live births, the maternal mortality rate has stagnated over the last decade and in 2008/09 was estimated at 498. Health care seeking behavior for preventive child health services at the health facility level is improving. Complete immunization coverage stands at 62 percent in 2008 (for children 12 to 23 months), but there are still large differences in coverage across regions, place of residence, and income groups.
Reliability, Population Classification and Weighting in Multidimensional Poverty Measurement
In poverty measurement, differential weighting aims to take into account the unequal importance of the diverse dimensions and aspects of poverty and to add valuable information that improves the classification of the poor and the not-poor. This practice, however, is in contention with both classical test theory and modern measurement theories, which state that high reliability is a necessary condition for consistent population classification, while differential weighting is not so. The literature needs a clear numerical illustration of the relationship between high/low reliability and good/poor population classification to dissolve this tension and assist applied researchers in the assessment of multidimensional poverty indexes, using different reliability statistics. This paper uses a Monte Carlo study based on factor mixture models to draw up a series of uni-and multidimensional poverty measures with different reliabilities and predefined groups. The article shows that low reliability results in a high proportion of the poor group erroneously classified as part of the not poor group. Therefore, reliability inspections should be a systematic practice in poverty measurement. The article provides guidelines for interpreting the effects of unreliability upon adequate population classification and suggest that the classification error of current unreliable multidimensional indexes is above 10%.
Study protocol for developing an urban deprivation index in Nepal: Data review, measurement, visualization and real-world application in urban poverty alleviation
Over the last two decades, Nepal has experienced substantial urbanization, with an increasing number of people choosing to move to cities. Although cities offer a wealth of opportunities, it also provides significant challenges. Many of those migrating to and living in cities contend with poor conditions and live in poverty. Defining and measuring urban deprivation is challenging due to its multi-dimensional nature, encompassing various dimensions such as housing, employment, living expenses, education, healthcare, and other unique challenges associated with city life. This study draws on the 'Domains of Urban Deprivation Framework' and evaluates the availability, commonness, and applicability of these domains. It measures multiple urban deprivation indices relevant to the context of Nepal. The research will commence with a review of the availability of data covering the urban domains listed in the Urban Deprivation Framework within routine data collected in Nepal at the province, district, and municipal levels. This will involve examining existing datasets and identifying any gaps or limitations in the data that could impact the construction of the local urban deprivation indices. To understand the commonness of different urban deprivation within different urban contexts in Nepal, a Delphi survey will be conducted in two municipalities and nationally with government policymakers, community representatives, data experts/researchers, and civil society actors. In the three urban contexts, stakeholders will prioritize and weigh the indicators according to their respective urban contexts and rank domains that reflects the priorities across different geographical areas and stakeholder communities. We will compare responses across these groups of stakeholders and explore contextual differences. The composite score for each domain will be calculated by summing the weighted scores of all indices and normalizing the results to ensure that they fall within a defined range. We will then plot the deprivation indices in urban areas at the provincial, district, and municipal levels. The urban deprivation index in Nepal will provide granular data that will enable policymakers and stakeholders to explore the urban deprivation index visually and access key insights for informed decision-making and resource allocation. Ethical approval was obtained from the Ethical Review Board of Nepal Health Research Council (Reference number: 213/2024) and the School of Medicine Research Ethics Committee at the University of Leeds, UK. The findings will be disseminated in a peer-reviewed journal and presented at conferences.
Habitat characteristics, stage structure and reproduction of colline and montane populations of the threatened species Arnica montana
Arnica montana, a characteristic plant of nutrient-poor grasslands, has strongly declined during the last decades, particularly at lower altitudes. To gain insights into the underlying reasons for this decline, we recorded differences in size, stage structure and reproductive traits between 21 colline populations of A. montana in the Ardennes-Eifel region (280-600 m a.s.l.) and 10 montane populations in the Vosges Mountains (1,200 m a.s.l.). Community composition of the Violion caninae vegetation at colline sites and Nardion strictae vegetation at montane sites indicated that temperature and moisture were the main abiotic factors differentiating between low and high altitudinal relevées. The proportion of flowering rosettes decreased with altitude, indicating a shift from sexual reproduction to clonal growth. In contrast to expectation, Ellenberg values for nutrient availability as well as the proportion of young rosettes and population size did not differ between colline and montane populations. However, population size decreased with nutrient availability, indicating eutrophication as the reason for population decline. In small populations, plant density, the proportion of flowering rosettes, the number of flowerheads per rosette and the number of seeds per flowerhead were lower, indicating less suitable conditions. Thus, preventing further eutrophication in both colline and montane populations will be crucial for the conservation of the species. Reduced reproduction may not be important for the population dynamics of this clonal plant in the short term, but could affect genetic diversity and survival in the long term.
Maternal health after Ebola: unmet needs and barriers to healthcare in rural Sierra Leone
Abstract Sierra Leone has the world’s highest estimated maternal mortality. Following the 2014–16 Ebola outbreak, we described health outcomes and health-seeking behaviour amongst pregnant women to inform health policy. In October 2016–January 2017, we conducted a sequential mixed-methods study in urban and rural areas of Tonkolili District comprising: household survey targeting women who had given birth since onset of the Ebola outbreak; structured interviews at rural sites investigating maternal deaths and reporting; and in-depth interviews (IDIs) targeting mothers, community leaders and health workers. We selected 30 clusters in each area: by random GPS points (urban) and by random village selection stratified by population size (rural). We collected data on health-seeking behaviours, barriers to healthcare, childbirth and outcomes using structured questionnaires. IDIs exploring topics identified through the survey were conducted with a purposive sample and analysed thematically. We surveyed 608 women and conducted 29 structured and 72 IDIs. Barriers, including costs of healthcare and physical inaccessibility of healthcare facilities, delayed or prevented 90% [95% confidence interval (CI): 80–95] (rural) vs 59% (95% CI: 48–68) (urban) pregnant women from receiving healthcare. Despite a general preference for biomedical care, 48% of rural and 31% of urban women gave birth outside of a health facility; of those, just 4% and 34%, respectively received skilled assistance. Women expressed mistrust of healthcare workers (HCWs) primarily due to payment demanded for ‘free’ healthcare. HCWs described lack of pay and poor conditions precluding provision of quality care. Twenty percent of women reported labour complications. Twenty-eight percent of villages had materials to record maternal deaths. Pregnant women faced important barriers to care, particularly in rural areas, leading to high preventable mortality and morbidity. Women wanted to access healthcare, but services available were often costly, unreachable and poor quality. We recommend urgent interventions, including health promotion, free healthcare access and strengthening rural services to address barriers to maternal healthcare.
An Analysis of Well-Being Determinants at the City Level in China Using Big Data
Prior research shows mixed results on the relationship between well-being and economic growth, and the relationship between well-being and population size, yet consistent associations between well-being and green space. This paper aims to analyse the relationship between city residents’ well-being and three established indicators: economic growth (as measured by GDP per capita), population size, and green space. A Big Data approach based on the lexica used on social media was proposed to develop well-being indicators. Using the 2016 data of Weibo (i. e. the Chinese version of Twitter), this study finds that the relationship between residents’ well-being and GDP per capita and the relationship between residents’ well-being and population size both form inverted U-shaped curves. Specifically, for poor cities, levels of well-being increase as GDP per capita increases. But after peaking at around the median GDP per capita point, levels of well-being drop as the city’s economy continues to increase. Similarly, levels of well-being increase with population size for small cities, but decrease for those cities whose population sizes rank in the top quarter. In contrast, there is a positive relationship between well-being and the percentage of green space for all cities. Implications and future directions are discussed.