Differences In Poverty Levels Research Articles

Moderate Multidimensional Poverty Index: Paving the Way Out of Poverty

Eradicating poverty in all its forms, everywhere, requires indicators that measure sustainable pathways out of poverty, and not only the absence of acute poverty. This paper introduces a trial Moderate Multidimensional Poverty Index (MMPI) that reflects moderate rather than acute levels of multidimensional poverty. The MMPI adjusts nine of the 10 indicators of the global Multidimensional Poverty Index (global MPI) to reflect moderate poverty and create a meaningful superset of the acutely poor population. Although data-constrained, the trial MMPI outlines a methodology and potential indicators for a measure that would: (i) be meaningful and comparable across populations at higher levels of development; (ii) align with higher standards defined in Agenda 2030; and (iii) provide insight into aspects of intrahousehold deprivation. The MMPI is illustrated empirically using nationally representative household surveys from Bangladesh, Guatemala, Iraq, Serbia, Tanzania and Thailand. The results confirm the added value of having three nested measures of destitution, acute, and moderate multidimensional poverty. The MMPI also complements monetary measures with informative differences in poverty levels observed. The results demonstrate that a Moderate MPI is a desirable global poverty index, which is likely to illuminate thus far hidden aspects in of multidimensional poverty, such as intrahousehold deprivations in education. Challenges remain regarding data availability, and further study across additional countries is required before the MMPI structure can be finalised.

Effects of Globalization on the Convergence of Poverty Levels among Asian Countries

This study empirically analyzed the effects of economic globalization on differences in poverty levels among Asian countries using data for a 25-year period, as well as the effects of economic globalization on the process. Trade openness (TO) and foreign direct investment (FDI) data were used as proxy variables for globalization. Using a headcount ratio (HCR) and per capita gross domestic product (PGDP), we analyzed the convergence of poverty levels using the σ- and β-convergence concepts. It was found that poverty levels have been substantially reduced in Asia and that economic globalization assisted in this change. The PGDP gaps among countries have gradually decreased and trade openness and FDI have had a strong effect on poverty reduction. Finally, there was no evidence for convergence in terms of the HCR during the recent globalization period and, therefore, it was concluded that economic globalization has not assisted in the convergence of HCR, while it helped the convergence of PGDP. This implies that the poverty issue is different from the income level issue. Thus, care must be taken to consider policy beyond the simple approach of economic growth.

One size does not fit all: Quantile regression estimates of cross-country risk of poverty in Europe

Using a macro panel of 31 European countries, this study shows that the application of quantile regression (QR) procedures to the estimation of poverty risk reveals that poverty determinants and cross-country differences in poverty levels are more reliable than those emerging from conditional mean estimations. The extent and significance of interquartile differences of estimated coefficients suggest that economic growth, income distribution, public expenditure, investment, education, and the labor’s share of income – aproxy for functional income distribution or social antagonism – have strong but differentiated effects on poverty reduction. Low-institutional quality exemplified by the high public-sector-corruption perception has a significant concomitant adverse effect on poverty and interacts with economic cofactors in determining interquartile differences of estimated coefficients. Results show that the implementation of a common European Union policy against poverty should consider cross-country interquartile differences and avoid a one-size-fits-all uniform philosophy.

Studi tentang kemiskinan di Kabupaten Batang Hari dan Kabupaten Muaro Jambi

The study aims to analyze: 1) the development of poverty levels, the poverty gap index and the poverty severity index in Batang Hari Regency and Muaro Jambi Regency; 2) differences in poverty levels, poverty gap index and poverty severity index between Batang Hari Regency and Muaro Jambi Regency. The data used are secondary data for the period 2002 - 2016, sourced from the Central Bureau of Statistics of Batang Hari Regency and Muaro Jambi Regency. Data were analyzed descriptively and used the Independent Sample T-test. The results of this study found that the average poverty rate in Batang Hari Regency during the period 2002 - 2016 was 13.37%, the poverty gap index was 1.87%, and the poverty severity index was 0.44%. In the same period, the average poverty rate in Muaro Jambi District was 6.51%, with the poverty gap index of 0.82%, and the poverty severity index of 0.17%. There were significant differences in poverty levels, the poverty gap index and the poverty severity index between Batang Hari District and Muaro Jambi District.

Adding value through the mechanization of post-harvest cassava processing, and its impact on household poverty in north-eastern Zambia

ABSTRACTThis article investigates the impact of adopting a mechanized cassava processing system on household poverty levels in Zambia. An Foster, Greer and Thorbecke (FGT) poverty measure was used to compare poverty levels among households using a mechanized cassava processing system against those households using a nonmechanized process. Based on the FGT poverty measure’s specifications, a significantly lower poverty status of 49% was found among households using the mechanized process when compared to the 58% found among households using the nonmechanized process. The significant factors contributing to these differences in poverty levels include whether households are using a mechanized process or not, the number of years’ schooling among household members, the number of years’ farming experience, household income and membership of associations. The study concludes that the mechanization of cassava processing, particularly if done on the right scale, can transform primary production activities, in turn leading to higher incomes and reduced poverty levels in rural villages. Thus, policies should be introduced aimed at encouraging the promotion of mechanized post-harvest cassava processing technologies among rural households, so as to enhance crop productivity and household income levels, as well as reduce poverty among rural households.

Poverty in the regions of the European Union – measurement with a composite indicator

We measure area-specific human poverty in the European Union (EU) at the second level of the nomenclature of territorial units for statistics (NUTS 2). We construct a regional human poverty index (RHPI), which comprises four dimensions: social exclusion, knowledge, a decent standard of living, and a long and healthy life. The RHPI provides information regarding the relative standing of a given country with respect to its level of poverty and shows the variability of poverty within a country with respect to NUTS 2. The RHPI shows satisfactory statistical coherence, confirmed by the results of correlation analysis and a principal component analysis. As confirmed by an uncertainty analysis, the RHPI also shows satisfactory robustness to the normative assumptions made during the construction process. The RHPI is computed for all NUTS 2 regions in 28 EU countries. Our results show that the poverty scale differs considerably among EU countries, with RHPI scores ranging between 9.23 for Prague and more than 65 for Bulgarian Yugoiztochen and Severozapaden. We also find that substantial differences in levels of poverty between regions are present in all EU countries. The only exceptions to this finding are small EU countries where neither NUTS 1 nor NUTS 2 regions exist.

Geographical Clusters of Rape in the United States: 2000–2012

While rape is a very serious crime and public health problem, no spatial mapping has been attempted for rape on the national scale. This article addresses the three research questions: (1) Are reported rape cases randomly distributed across the United States, after being adjusted for population density and age, or are there geographical clusters of reported rape cases? (2) Are the geographical clusters of reported rapes still present after adjusting for differences in poverty levels? (3) Are there geographical clusters where the proportion of reported rape cases that lead to an arrest is exceptionally low or exceptionally high? We studied the geographical variation of reported rape events (2003–2012) and rape arrests (2000–2012) in the 48 contiguous states of the USA. The disease surveillance software SaTScanTM with its spatial scan statistic is used to evaluate the spatial variation in rapes. The spatial scan statistic has been widely used as a geographical surveillance tool for diseases, and we used it to identify geographical areas with clusters of reported rape and clusters of arrest rates for rape. The spatial scan statistic was used to identify geographical areas with exceptionally high rates of reported rape. The analyses were adjusted for age, and in secondary analyses, for both age and poverty level. We also identified geographical areas with either a low or a high proportion of reported rapes leading to an arrest. We have identified geographical areas with exceptionally high (low) rates of reported rape. The geographical problem areas identified are prime candidates for more intensive preventive counseling and criminal prosecution efforts by public health, social service, and law enforcement agencies. Geographical clusters of high rates of reported rape are prime areas in need of expanded implementation of preventive measures, such as changing attitudes in our society toward rape crimes, in addition to having the criminal justice system play an even larger role in preventing rape.

International Inequality and World Poverty: A Quantitative Structural Analysis

Dominant explanations within the existing development literature for the differences in poverty levels around the world have tended to ignore the influence of international inequality on poverty, instead focusing solely on domestic factors. In this paper, I conduct a regression analysis of the effect of inequality between countries on world poverty between 1980 and 2007, employing a new structural measure of international inequality which is created using social network analysis to calculate countries' positions in international trade networks. Countries' infant mortality rates are used to measure poverty. The results of the empirical analysis provide cross-country evidence to demonstrate that structural inequalities in the international system have a significant impact on poverty around the world. As such, the analysis demonstrates the need to move beyond focusing exclusively on domestic attributes of developing countries towards considering the broader international political economy in analysing contemporary poverty.

Social Income Transfers and Poverty Alleviation in OECD Countries

Poverty alleviation is an important policy objective in developed welfare states. This paper analyzes the effect of social transfer policies on poverty. A vast literature claims that high social effort goes along with low poverty levels across countries. This paper systematically analyzes this claim. We employ several social expenditure ratios (as a proxy for social effort) and correct for the impact of the tax system and for private social arrangements, using OECD methodology. Also, we control for emographic and macro-economic differences across countries. We performed several tests with the most recent data (LIS, OECD, and SOCX) for the period 1985-2005. Our results are less clear-cut than earlier findings. We still find quite a strong negative relationship between the level of public social expenditure and poverty among 28 OECD countries. However, for non-EU15 countries this relationship is stronger than for the EU15. The results alter considerably if private social expenditures are included as well. For non-EU15 countries in our sample, we do not find evidence for a negative correlation between the level of total social spending and the incidence of poverty. In contrast, for the group of EU15 countries private social arrangements do matter as far as poverty alleviation is concerned. Demographic and macro-economic (control) variables are important as well. We developed and employed multiple linear regression models to control for these complex interrelationships. Our results point at one direction: gross social spending is the driving force as far as differences in poverty levels across countries are concerned, although the ageing of the population and unemployment rates have some explanatory power, both for non-EU15 countries and for EU15 countries. Our analyses captures another effect as well. It is essential to control for the impact of taxes on the social expenditure ratios used. By doing so, the linkage between social effort and poverty levels across countries becomes insignificant. In view of the fact that with these corrections on expenditure statistics, we have a much better - although still not perfect - measure of what governments really devote to social spending, the familiar claim that higher social expenditure goes along with lower poverty levels does not hold across the 28 examined countries examined. We believe that our comparison of the impact of several social expenditure ratios on poverty levels has emphasized that taking into account both the public/private-mix and the impact of the tax system on social expenditure ratios really matters for comparative welfare state research and for policy makers who want to reduce poverty.

Comparing Poverty Indicators in an Enlarged European Union

In this article, we explore the extent to which a consideration of welfare regime and socioeconomic differences in poverty levels and patterns can assist us in making an informed assessment of alternative poverty indicators. Poverty in the EU is normally defined in terms of income thresholds at the level of each member state. However, with the enlargement of the EU, such measures have come in for increasing criticism. One set of reservation relates to the limitations imposed by an entirely national frame of reference. An alternative critique focuses on the fact that low income is an unreliable indicator of poverty. In this article, we seek to explore the strength of both arguments by comparing the outcomes associated with 'at risk of poverty' and consistent poverty at both national and EU levels. Developing an appropriate assessment of poverty levels in the enlarged EU, particularly in periods of rapid change, is likely to require that we make use of a number of indicators none of which capture the full complexity of cross-national poverty outcomes. However, our analysis suggests that if a choice is to be made between the available indicators, the 'mixed consistent poverty' indicator developed in this study is best suited to achieving the stated EU objective of assessing the scale of exclusion from minimally acceptable standards of living in individual countries while also measuring the extent to which the whole population of Europe is sharing in the benefits of high average prosperity.

Relative or Absolute Poverty in the US and EU? The Battle of the Rates

US poverty is much higher than poverty in Europe when a relative poverty measure is used. Using an absolute poverty measurement method, the picture looks different: poverty in some European countries is higher. This paper estimates poverty rates for all the countries of the (old) EU and the USA applying the official measurement methods of the United States (absolute) and the European Union (relative) to all the countries. The differences in poverty levels, both in time and between the 16 countries are analysed, identifying the various sources for the variance in the figures. Using annual data of the EU and the US from 1994 to 2001, we illustrate how some differences in poverty levels are inherent to the choice for an absolute or a relative approach, while other differences are related to aspects common to both absolute and relative poverty measurement but working out differently depending on the estimation method used. The results of our analysis point out that using a single figure is often misleading.

Poverty Reduction and Human Development in Africa

This paper uses cross-national data to investigate the extent to which the adoption of human development strategies has resulted in a reduction of poverty in Africa. Inter-country variations in income and human poverty reinforce the established patterns of well-being within the continent, as countries in Northern and Southern Africa have the lowest levels of poverty. The empirical analysis reveals that inter- country differences in poverty levels can be accounted for by variables indicative of the different facets of human development. These include public expenditure on education, primary school enrolment, female educational enrolment, expenditure on health, and good governance. Other significant variables apart from those pertaining to human development are economic growth, high external debt, the prevalence of HIV/AIDS and the geographical disadvantage of being a landlocked country. The paper also shows that foreign aid has had a limited effect on poverty reduction in Africa.

Development and crisis of the welfare state: parties and policies in global markets

This text offers a systematic examination of the origins, character, effects and prospects of generous welfare states in advanced industrial democracies in the post-World War II era. The authors demonstrate that prolonged government by different parties results in different welfare states, with strong differences in levels of poverty and inequality. Combining quantitative studies with historical qualitative research, the authors look closely at nine countries that achieved high degrees of social protection through different types of welfare regimes: social democratic states, Christian democratic states, and wage earner states.

Child Poverty and Family Transfers in the Czech Republic, Hungary and Poland

Governments of the Czech Republic, Hungary and Poland implemented reforms of family benefits in the mid-1990s. What were the common features of those reforms and what were the possible effects on child poverty? Based on household micro data, trends in poverty among children, large families and single parents are presented for two data points: one before and one after the restrictive reforms in family policies. The focus of the analysis is on changes in the effectiveness of benefits on child poverty reduction. Child poverty increased during the observed period in all three countries, despite the efforts of governments to smooth the harmful effects of the economic downturn. Large differences in poverty levels and patterns between the three countries persisted. A relative worsening of the income position of children was accompanied by an increased level of targeting, reflected in general attempts to exclude higher-income groups from the benefit regimes. The results in the paper suggest that social transfers in general, and family benefits in particular, contributed to reduce significantly child poverty in the Czech Republic, Hungary and Poland. However, reduction rates decreased between the early and the later 1990s. Current and future reform considerations should therefore include the objective to reverse this trend.

The Importance of Context in Explaining Human Capital Formation and Labor Force Participation of American Indians in Rosebud County, Montana

Abstract In response to recent recommendations to incorporate social, political, and cultural contexts into employment and poverty analyses for minority populations, this paper draws on several sources and types of data to examine the human capital and labor force participation patterns of Northern Cheyenne Indians and non‐Indians in Rosebud County, Montana. Discussions utilizing human capital and economic organization data contribute to clarifying differences in poverty levels of the two populations. However, the "embeddedness" approach utilizes ethnographic data and recent analyses of schooling to illuminate the social and cultural relations affecting Northern Cheyenne employment patterns as well as the methods by which individuals, families, and communities adapt to the recent declines in economic opportunity and wages on the reservation. Such discussions suggest the need to reconsider policies designed to address American Indian human capital formation and economic development needs.

Discrepant legacies: Premature mortality in two industrial towns

Previous research has indicated that, while large parts of Middlesbrough and Sunderland appear to be equally severely deprived, premature mortality in the early 1980s was substantially worse in Middlesbrough. Postcoded mortality data from 1975 to 1986 were assembled, to ascertain whether this disparity reflected a temporary or consistent difference between these two towns. In addition, to enable detailed consideration of the differentials in premature mortality, data on cause of death for 23 cause-groups were assembled for the 6-year period 1978 to 1983. The results show that, throughout the 12-year period, death rates below the age of 65 years in Middlesbrough's poorer areas consistently exceeded death rates in comparable areas of Sunderland by a large margin. This disparity is demonstrated to affect both sexes and all age-groups below 65. Middlesbrough's excess mortality was evident for most causes of death (19 out of 22 causes among men, and 16 out of 23 causes among women), with cerebrovascular disease and genitourinary malignancy among women being the only major exceptions. Possible explanations for this wide difference are considered. The conclusions of research in Lancashire, suggesting that the antecedents of present differences may be found in infant health disparities from the 1920s and 1930s, do not seem to apply in this instance. The possibility that unmeasured differences in levels of poverty or the suddenness of its onset may be contributory influences remains problematic. Individual lifestyle is not considered a plausible explanation, but possible differences in the provision and use of health services between the two towns are thought worthy of closer investigation. It is also suggested that environmental differences, in terms of the built environment and atmospheric pollutants, require closer scrutiny.