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AbstractThis paper applies a network analysis approach to weight the dimensions of multidimensional poverty. Weights are allocated according to the interaction of the deprivations to eliminate arbitrary value judgments used in equitable weighting. The approach is applied to a developing country. The results indicate that some dimensions are more relevant than others and measures of poverty show significant differences when changing the weighting approach.

Kulon Progo Regency is one of the regencies in the Special Region of Yogyakarta which has a very high percentage of poverty rates. The problem of poverty in Kulon Progo Regency has not yet been resolved. In fact, compared to other regencies/cities in the Special Region of Yogyakarta, the percentage of poor people in Kulon Progo Regency ranks the highest. Various poverty reduction policies have been carried out by the district and provincial governments to reduce poverty rates, but still have not shown significant results. This condition is interesting to analyze considering that poverty policies have not yet had an impact on the condition of Kulon Progo. The purpose of this study was to determine the determinants of poverty in Kulon Progo. This study uses a mixed research approach, namely research that combines quantitative and qualitative research approaches. The results of this study indicate that the inherent characteristics of households in Kulon Progo affect the level of poverty.

India is a country characterized by multi-layered diversity and cultural heterogeneity where different types of inequalities and poverty have always been a fact of life. Since independence in 1947, she followed a development policy based on interventionist central planning and import substitution with the objective of reducing inequality and poverty. Policymakers adopted a middle path in which income inequality was tolerated, provided it was not 'excessive' and led to a higher rate of growth. From the mid-1980s, the Indian government gradually adopted market-oriented economic reforms. The pace accelerated during the early 1990s with the adoption of neo-liberal reforms programmes, marking a period of intensive economic liberalization. The focus changed from state intervention for more equitable distribution towards liberalization, privatization and globalization. During the past two decades, India has made rapid economic progress resulting in an expanding middle class with unprecedented access to goods and opportunities. Yet, it is not only that the new income generated by economic growth has been very unequally shared, but also the resources newly created have been inadequately utilized to alleviate the enormous social and economic deprivation of a majority of the society. This paper analyses the nature and causes of inequality and poverty in India.

The strategies expected to mitigate poverty tend to identify factors that are closely related to poverty and that could have influenced the policy implications. A household level data was collected to examine the poverty status and factors affecting poverty in Southern Punjab. A logistic regression technique was employed for the present analyses. The findings show that age and education of the household head, own house, spouse participation, remittances, number of earners in the household and physical assets reduces the probability of being poor in Southern Punjab. However, large household size, occupation in the primary sector, high dependency ratio and mental disability are associated with an increased probability of being poor in Southern Punjab. Government should adopt effective policy measures to generate employment and encourage the attainment of education for the poor households for the mitigation of poverty in this region.

Using 1977–79, 1994–96, and 2006–08 data from the Survey of Consumer Finances (SCF) and Survey of Labour and Income Dynamics (SLID), I conduct a decomposition analysis of senior poverty rates to determine whether changes in seniors' characteristics can help explain historical changes in senior poverty rates. I find that increases in the educational attainment of seniors significantly reduced senior poverty, but can only explain a small portion of the reduction in poverty rates between 1977–79 and 1994–96. I find that reductions in the extent to which age and independent living place seniors at risk of poverty significantly and substantially reduced senior poverty rates. Overall, the results support the assertion that retirement income policy is an important determinant of senior poverty in Canada.

We model the determinants of rural poverty in Botswana by conducting an empirical analysis of household welfare using the 2009/10 Botswana Core Welfare Indicator survey (BCWIS) to identify such factors associated with rural poverty. The paper found that female headed households, especially those residing in rural areas have higher incidences of poverty than male headed households. The study also found male-headed households, education, employment, livestock ownership and access to amenities as factors that positively related with welfare for all rural households and the results were consistent across both FHHs and MHHs models, except for a few factors such as livestock ownership. Household size and dependency ratios negatively related with welfare. However, dependency ratio did not influence welfare amongst MHHs since such households are characterised by fewer dependents unlike the FHHs. characteristics variables and thus public policy should focus on such factors in addressing rural poverty, especially among FHHs. Creation of employment opportunities in rural areas is key in helping the government in its poverty eradication efforts in rural areas. The paper also concludes that FHHs in rural area must be made a special target of poverty eradication programmes, and a well focused gender specific intervention for poverty eradication initiatives is needed. Moreover, rural development strategies should emphasize the provision of agricultural infrastructure, promotion of agricultural productivity growth through improved technology adoption, as well as provision of basic services such as water, sanitation and electricity in rural areas.

This study builds on recent efforts by the World Bank and the European Commission in generating detailed poverty estimates at detailed subnational levels (the EU Poverty Map). This information is combined with estimates of subnational trade flow data for subnational regions between 2000-2010, as well as information on country and regional characteristics. Poverty estimates from the EU Poverty Map refers to a relative concept of poverty, measuring the share of population below a country-specific low-income threshold. This notion of relative poverty can be informative of disparities in welfare gains within countries often associated with trade, especially given the current backlash on globalization from the perception that it may leave some segments of the population behind. The negative relationship between poverty and trade is observed when both import and export openness are considered individually, but it arises more clearly in the case of export orientation. Export orientation can be associated with lower levels of poverty particularly in the poorest regions. The relationship between import exposure and poverty rates is not significant. Additional analyses show that export openness is more strongly linked to lower poverty in regions where production tends to be more 'low-tech'. All together, these results suggest that both exports and imports are associated to lower poverty, but especially when it relates to higher export opportunities in poorer regions and where production is concentrated in relatively labor-intensive goods. While this analysis does not consider micro-level effects such as at the enterprise or household level that could possibly show greater heterogeneity, the results suggest that cross-country estimates in the literature that show a positive effect of trade openness on economic performance tend to hold at subnational regional levels in the EU. Overall, this study shows that poverty and the relative concentrations of poor people in the EU is an issue that policymakers should put high on the agenda. Opening markets and creating a more level playing field in global markets for export opportunities is critical for regional development. For certain regions however, policies to support the transition and the mitigation of transition costs may be necessary. While the empirical evidence is still building up, whether this assistance should be industry-based, versus locality based, is an important distinction, as trade shock effects seems to matter more by locality than by industry.

The empirical analysis of poverty over time is still severely constrained by the available survey data in developing countries. In the past, this has led to a neglect of certain aspects of poverty dynamics or even biased assessments of poverty dynamics. This book explicitly takes into account the present data limitations, proposing alternative methods for the empirical analysis of poverty dynamics. The work addresses both the problems related to limited data in the analysis of macro-level (or national) as well as micro-level (or household) poverty dynamics. The proposed methods are applied to survey data from various sub-Saharan African countries. As these countries do not only have the most limited economic survey data but also show the highest poverty rates in the world an accurate understanding of the underlying poverty dynamics seems to be most important for these countries.

The National Center for Children in Poverty's (NCCP) Making Work Supports Work project is designed to identify and promote policies that make work pay for low-wage workers and their families. Millions of parents work full-time, year-round and yet struggle to provide even minimum daily necessities for their families. Government "work supports" – such as earned income tax credits, child care subsidies, health insurance, food stamps, and housing assistance – can help. These benefits encourage, support, and reward work, helping families close the gap between low wages and the cost of basic needs. To assess the effectiveness of existing state and federal work support policies, we examine how much families need to make ends meet and how public benefits impact family budgets. We then work with state partners to identify, model, and promote alternative policies that better support low-wage workers and their families. Our work draws on results from two web-based tools: the Family Resource Simulator and the Basic Needs Budget Calculator.

AbstractThis paper studies the impact of remittances on cross‐country poverty using a panel data set from 65 developing counties over a long period 1970–2008. This study differs from the existing literature on poverty impact of remittances by explicitly noting the importance of financial development in shaping the link. This analysis shows that the effect of remittances on poverty depends on the level of financial development of a remittances receiving economy. Those economies that have a low level of financial development seem to acquire an unfavourable effect of remittances while economies with comparatively developed financial systems do not suffer from the adverse effects of remittances. In sum, remittances accentuate not ameliorate poverty in countries with the low level of financial development. Copyright © 2014 John Wiley & Sons, Ltd.

O persistente aumento da pobreza absoluta na Nigéria alcançou um patamar inquietante tanto para o governo quanto para o povo. Usando modelos de séries de tempo linear simples, este trabalho examina a tendência em pobreza absoluta na Nigéria e faz previsão da taxa de pobreza absoluta em que a população estaria entre os anos 2001 e 2010. O resultado mostra que antes de 2010, da população estimada em 137.8 milhões de pessoas, 129.6 milhões estariam na pobreza absoluta se alguma medida de política fiscal e monetária, diminuição da taxa de desemprego, investimento pesado em agricultura, desenvolvimento e promoção de atividades de setores informais, além de boa governação e combate à corrupção não for tomada. ; The persistent increase in absolute poverty has become worrisome to both the government and the people of Nigeria. Using a Time series simple linear forecasting model this paper examines the trend in absolute poverty in Nigeria and made forecast of what the rate of absolute poverty vis-à-vis the nation's population would be between the year 2001 and 2010. The result obtained indicate that by the year 2010, 129.6 million people out of the projected 137.8 million people would be poor if certain policy measures such as sound fiscal and monetary policies, increase in employment, heavy investment in agriculture, development and promotion of the informal sector activities, good governance and fight against corruption are not taken into consideration.