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This study aims to explore the effect of mass media exposure on women contraceptive adoption. The intent was to show how factors affected contraceptive use, such as education, standards of living, etc., behave differently across the poverty line.

Logistic regression was used to test the effect of exposure of various mass media on contraceptive adoption. Indian Human Development Survey (2005) was used for the analysis. Analysis was performed to compare results across the poverty line.

Television exposure was found to be significant, and it had a strong effect on the likelihood that the family uses contraceptives. Newspaper readership was found significant above the poverty line and insignificant below.

The present study only analyzes cross-sectional data. A longitudinal study would be better suited to determine how these factors affect contraceptive use over time.

The findings of this study can be useful in designing more effective media mix for the communications aimed at increasing contraceptive use in India.

The findings show the divide between the population segments above and below the poverty line. Low education levels, affordability issues and son preferences are the major factors deterring contraceptive use at this level.

This is the first study to separately study the population samples across the poverty line. Compared to previous studies which focuses heavily on one media, this analysis includes other media variables and focuses on a variation of these factors across the poverty line.

The purpose of this paper is to ground in serious empirical evidence the debate on whether the post-reform acceleration in growth has helped bring poverty down for all economic, social and religious groups and in all state or has left certain groups or states.

The paper uses unit-level data from the so-called thick rounds of expenditure surveys by National Sample Survey (NSS) in the years 1993-1994, 2004-2005, 2009-2010 and 2011-2012 and estimates the proportion of the population below the official Tendulkar line. Adequate care is taken to address the issue of sample size in reporting the estimates.

Whether we slice the data by social, religious or economic groups, by states or by rural and urban areas, poverty has significantly declined between 1993-1994 and 2011-2012 with a substantial acceleration during the faster-growth period from 2004-2005 to 2011-2012. Poverty rates among the disadvantaged social groups and minorities have declined faster so that the gap in poverty rates between them and the general population has declined. In 7 of the 16 states with large Muslim populations, the poverty rate for them is now below that for the Hindus.

Use of survey data has its limitations, especially when the sample sizes are small. The paper also does not assess the direct contribution of growth in relation to that through redistribution.

The paper presents implications for identification of the poor for the purpose of designing targeted interventions.

This is the first paper to offer up-to-date estimates of poverty by social, religious and economic groups, by states and by rural and urban areas.

Using real-time data from the University of Luxembourg’s COME-HERE nationally representative panel survey, covering more than 8,000 individuals across France, Germany, Italy, Spain, and Sweden, the author investigates how income distributions and poverty rates have changed from January to September 2020. The author finds that poverty rates increased on average in all countries from January to May and partially recovered in September. The increase in poverty is heterogeneous across countries, with Italy being the most affected and France the least; within countries, COVID-19 contributed to exacerbating poverty differences across regions in Italy and Spain. With a set of poverty measures from the Foster–Greer–Thorbecke family, the author then explores the role of individual characteristics in shaping different poverty profiles across countries. Results suggest that poverty increased disproportionately more for young individuals, women, and respondents who had a job in January 2020 – with different intensities across countries.

A growing polarization of society accompanied by an erosion of the middle class is receiving increasing attention in recent German economic and social policy discussion. Our study contributes to this discussion in two ways: First, on a theoretical level we propose extended multidimensional polarization indices based on a constant elasticity of substitution (CES)-type well-being function and present a new measure to multidimensional polarization, the mean minimum polarization gap, 2DGAP. This polarization intensity measure provides transparency with regard to each single attribute, which is important for targeted policies, while at the same time respecting their interdependent relations. Second, in an empirical application, time is incorporated, in addition to the traditional income measure, as a fundamental resource for any activity. In particular, genuine personal leisure time will account for social participation in the sense of social inclusion/exclusion and Amartya Sen’s capability approach.

Instead of arbitrarily choosing the attribute parameters in the CES well-being function, the interdependent relations of time and income are evaluated by the German population. With the German Socio-Economic Panel (GSOEP) and detailed time use diary data from the German Time Use Surveys (GTUSs) 1991/1992 and 2001/2002, we quantify available and extended multidimensional polarization measures as well as our new approach to measuring the polarization of the working poor and affluent in Germany.

There are three prominent empirical results: Genuine personal leisure time in addition to income is an important and significant polarization attribute. Compensation is of economic and statistical significance. The new minimum 2DGAP approach reveals that multidimensional polarization increased in the 1990s in Germany.

This paper seeks to analyse the current poverty situation and poverty alleviation efforts of the NGOs in Bangladesh with emphasis on the impacts of two NGO programmes in two villages of Barisal district.

This research has employed both qualitative and quantitative approaches. The research has primarily used first‐hand empirical data. In order to substantiate primary data, relevant secondary information has also been used. Data were collected through household survey by applying both open‐ and closed‐ended questionnaires. With a view to analysing data, inferential as well as descriptive statistics have been applied.

The findings revealed that the economic condition of the poor in the study areas has not improved much when judged against some selected indicators, namely, income, food and non‐food expenditure, productive and non‐productive asset, food security, and employment creation. The Foster Greer Thorbecke index shows that the majority of the NGO beneficiaries remained below the poverty line in terms of income and the overwhelming majority of them remained below the underemployment line (less than 260 days of work in a year). The regression analysis shows that the income of the households is determined by landholding size, family labour, days suffered from morbidities and employment opportunity. The qualitative data on the perception of beneficiaries on the causes of poverty endorse this finding.

Controversies over the issue of widespread poverty in Bangladesh have been revolving among the government, NGOs and the donor agencies as well. NGOs have been claiming the entire success of the economic wellbeing made to the rural poor. However, this study has directly challenged their claims by casting an empirical lens on the impact of their interventions. This study has detected the paucities of the NGO interventions and gaps between their objectives and their achievement.

This paper argues that the assumption of a homogeneous workforce, which is implicitly invoked in the decomposition analysis of changes in welfare indicators, hides the role that schooling and its returns may have on the understanding of these changes. Using Peruvian cross-sectional data for a period of 10 years (2004–2013) and counterfactual simulations, this paper finds that the main factor contributing to poverty reduction has been individuals’ changes in labor earnings, and the role of these changes has been less important in reducing income inequality. The main driving force of reduced income inequality has been the fall in returns to education, which at the same time has been one of the important factors to constraining the period’s remarkable progress in poverty reduction and expansion of the middle class.

This paper deals with poverty decompositions into subgroups defined with respect to intervals of income and the robustness of comparisons of the absolute contribution of such groups to poverty. For instance, world poverty estimates by the World Bank often distinguish between the extreme poor whose incomes are lower than $1.25 a day (in PPP terms) and the other poor with incomes between $1.25 and $2.5 a day. Existing dominance conditions can tell whether overall poverty and extreme poverty have declined in a robust manner when comparing countries at two points of time, but they cannot say anything for the contribution of the non-extreme poor to overall poverty. In the present paper we propose stochastic generalized dominance criteria to perform robust poverty ordering when the focus is placed on some interval of the poverty domain. Using generated data based on grouped data from World Bank’s PovcalNet tool, the paper finally investigates whether the robust decline of extreme poverty around the world during the last decades was also accompanied by a decline of the contribution of non-extreme poverty.

This paper considers the effects on current pensioner incomes of reforms designed to improve the long-term sustainability of public pension systems in the European Union. We use EUROMOD to simulate a set of common illustrative reforms for four countries selected on the basis of their diverse pension systems and patterns of poverty among the elderly: Denmark, Germany, Italy and the UK. The variations in fiscal and distributive effects on the one hand suggest that different paths for reform are necessary in order to achieve common objectives across countries, and on the other provide indications of the appropriate directions for reform in each case.

Outlines a method for controlling for compositional factors in the measurement of poverty. Bases the method on “shift‐share analysis” and “direct standardization”, consistent with Sen’s (1976) influential axiomatic approach to poverty measurement. Employs the popular poverty index proposed by Foster et al. (1984), which is one of the few summary poverty measures that can be directly standardized and also meets Sen’s criteria. The method is illustrated by examining the trend in absolute and relative poverty in the UK. Uses data from the “Family Expenditure Survey”, covering the period 1968 to 1986, and places specific empirical focus on the relationship between household structure and poverty.

The purpose of this paper is to study the socio-economic condition of indigenous households involved in the production of palm oil and natural rubber in Peninsular Malaysia.

Discriminant analysis is used in this study.

This study finds that 49.70 percent of natural rubber plantation owners and 37.3 percent of the palm oil plantation owners live under the national poverty line. Discriminant analysis shows that natural rubber plantation size has a significant difference between income below the poverty line and above the poverty line. But palm oil plantation size is not significantly different between income below and above the poverty line, mainly because small-scale palm oil farms receive help from the government and other agencies. This study also finds that the majority of indigenous people do not have ownership rights to their land.

This study suggests that small-scale plantation holders should be provided with training to upgrade their skills to increase productivity. Furthermore, finding an appropriate land ownership model helps to understand the fundamental issue of poverty among the small-scale plantation holder of indigenous people in Peninsular Malaysia.

Primary data are used in this study. The results show different scenarios than the existing studies.