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In recent years a great deal of time and resources have been devoted to understanding poverty in general and elderly poverty in particular. This paper uses a panel data set spanning the years 1980–2001 to investigate the impact of certain economic and demographic factors on overall, non-elderly, and elderly poverty. We also investigate the robustness of income-only poverty measures when the threshold income level is altered.

The impacts of median income and other variables on the Sen index of poverty in the United States are investigated using panel data with fixed time period and cross sectional effects. Estimates for the Sen index and its decomposed components – the headcount ratio, poverty gap ratio, and Gini coefficient among the poor reveal that median income among state/regions and across time systematically influences the Sen index and each of its components. However, the results reveal that labor market and demographic control variables have quite different effects on the distinct components of the Sen index.

This paper aims to assess the relationship between energy poverty and the well-being of people using Amartya Sen’s capability approach to development as theoretical underpinning.

The study uses household-level energy access data collected by the Harvard Dataverse in 2015 and 2018. The authors use multidimensional indices to measure energy poverty and well-being. Further, the authors apply quantile regression approach to measure the relationship between energy poverty and well-being.

The study’s findings reveal that energy poverty and well-being are negatively related. India has made progress in reducing energy poverty and improving well-being during the study period. However, progress in reducing energy poverty is largely due to improved access to electricity and improvement in well-being due to income and financial inclusion. Using modern cooking fuel has a greater negative impact on well-being compared to lighting using electricity. Further, households spending a greater proportion of their income on modern energy fuels leads to a lower quality of life as it precludes them from using it for other purposes. The study records wide variations in the observed relationship between energy poverty and well-being across various socioeconomic groups.

This calls for improvement in the production and distribution of modern energy resources, which have substantial welfare implications.

This is the first study to measure the relationship between energy poverty and quality of life using multidimensional indices. The findings of this paper have policy implications for the pricing of energy resources and energy access measures.

This research paper takes a narrow approach to examining the apparent link between poverty and the resource extraction industries. However, it acknowledges that much more is to be explored about this relationship. Many complexities influence the occurrence and degree of poverty in a particular country, region, or community.

The literature review identified proposed and operational poverty reduction actions and processes categorized under the broad concept of community development projects. The surveyed cases describe how various corporate strategies, work processes, labor requirements and efficient management and governance solutions are purported to improve poverty-reduction efforts potentially.

No causal linkages between poverty and hypothetically valuable and successful community development projects were found. No poverty monitoring evaluations and learning data (MEL) for these projects were proposed and published in most of the literature. However, associations were observed between some business practices implemented in these resource extraction community development projects and observations of indicators of lower poverty levels.

The research improves our understanding of the requirements and opportunities for successful community development projects by highlighting processes, company strategy, human resource programs and enlightened governance that can contribute to reducing poverty.

The paper identifies the characteristics of community development projects that appear to span natural resource extraction industries and countries. Effective management strategies and representative and formally designated organisational governance boards are essential for these projects.

This paper investigates the impact of microfinance on poverty gap which is the shortfall in income or consumption expenditures below $1.90, $3.20 and $5.50 per day. The paper’s primary goal is to investigate how microloans have impacted the severity of poverty and influenced the cost of poverty eradication in Latin America, empirically evaluate these effects and offer appropriate policy recommendations.

This paper used panel data for 13 Latin American countries from world bank spanning the period 2001–2019 and Fully Modified Ordinary Least Squares model for heterogeneous cointegrated panels. This study used Gross Loan Portfolio per active borrowers, gross domestic product per capita, Gini index, Inflation and Unemployment rate as independent variables and poverty gaps as dependent variables.

Poverty gaps narrow as the loan per borrower increases, and the degree of effect differs with the poverty line, with the magnitude increasing as the poverty line falls, underscoring microloans as an effective tool in closing poverty gaps and lowering the cost of poverty eradication. Growth of GDP per capita is helpful reducing the poverty gap, especially for the less poor of the poor. Inflation and unemployment have no to little impact on the severe poverty gaps, but they start to matter when the poverty line is $5.5 per day. Finally, income distribution inequality widens the poverty gap regardless of the poverty line used.

This study suggests several implications. For example, Latin American nations need to embrace tangible policies that encourage economic growth while reducing inequalities in income distribution to effectively eradicate poverty. More supportive environment is necessary to increase the effectiveness of microfinance operations, particularly for the poorest populations. Microfinance institutions need to set less stringent conditions for loan accessibility and repayment schedules that are commensurate with different levels of poverty. Finally, strengthening microfinance as a strategic policy to gradually close poverty gaps and reduce the cost of poverty eradication.

Digital technologies have been found to have long-lasting impacts on poverty. This study has been conducted to shed light on the contributions made by digital technologies toward poverty alleviation and also provide future research directions.

The authors thoroughly studied the sample of 258 publications from the Scopus database, covering the period from 1982 to June 2023. Using VOS viewer and Bibliometrix R, various graphs and networks are developed to understand publication trends, research collaborations and intellectual structures.

A significant amount of the existing literature on the impact of digital technologies on poverty alleviation demonstrates the need for more studies in this area. Lack of information and communication technology (ICT) infrastructure and access exhibits less opportunity for work, social networking and entrepreneurship, directly affecting people’s livelihoods in developing countries.

This study will help country planners, regulatory bodies and academicians get a deeper insight into the impact of digital technologies on poverty alleviation and also develop the future research agenda.

This study employs a considerable period of time, from the year 1982 to June 2023. To the best of authors’ knowledge, the current study is a pioneer in using bibliometric analysis to identify the impact of digital technologies on the alleviation of poverty. This attempt will surely be helpful to academicians, researchers and those working on identifying the impact of digital technology on poverty alleviation.

This research examines the impact of the National Rural E-commerce Comprehensive Demonstration Project (NRECDP) on poverty reduction and income growth in rural China.

The study develops a theoretical framework, which considers the role of geographical, technological, institutional and cultural factors for the e-commerce poverty alleviation (e-CPA) model. Empirically, this study applies the difference-in-differences (DID) model and the event study approach to evaluate the effectiveness of NRECDP on the basis of large-scale county-level and household-level panel data spanning 2010 to 2020.

The study found that the NRECDP, as a government-led, information and communication technology (ICT)-enabled, market-based program, has led to a significant increase in per capita output of primary industry employees, as well as in the disposable income of rural residents, especially those in national-level poverty-stricken (NP) counties. The interventions of the NRECDP achieved these positive outcomes through transportation and Internet infrastructure improvement, ICT adoption and human capital accumulation in impoverished towns and villages in remote rural areas. These effects are larger in the eastern region of China, followed by the central region, whereas the weakest effects were found in the western region. However, we found little evidence of the NRECDP increasing household developmental expenditure.

The study findings have important practical and policy implications for rural e-commerce development and self-sustained poverty alleviation solutions. The research revealed the significance of government NRECDP interventions for increasing rural income, reducing living costs, and empowering the rural population in its multiple social roles, namely, as consumers, producers, employees and microentrepreneurs. The local cultural context may also play a role in ICT adoption and entrepreneurship cultivation with a downstream effect on the effectiveness of e-CPA practices. Policymakers would need to ensure a supportive entrepreneur-friendly environment for rural e-commerce development and continue implementing progressive policies for poverty alleviation.

This study explores poverty alleviation issues in China by developing for the first time a multi-faceted framework that is subsequently tested by both county-level and household-level large-scale observations. Also, it is the first study to provide nationwide empirical evidence on the effectiveness of e-CPA in narrowing down the spatial and digital divides in China. In addition to the impact of geography, technology and governmental support, this study also sheds light on the role of culture in the adoption and diffusion of digital technologies and as a source of local entrepreneurial opportunities.

This paper is a study on child poverty from two perspectives: child income poverty (derived from family income) and child deprivation (evaluated by non‐monetary indicators). On the one hand, empirical evidence supports the thesis that income‐based poverty measures and deprivation measures do not overlap. On the other hand, the relationship between poverty and the child's living conditions is not linear. Uses micro‐econometric techniques to analyse child income poverty and present deprivation indicators, and thereby an index of child deprivation, to study child poverty. The measurements used are centred on the child. The results obtained support the thesis that the study of child poverty differs whether the focus is on the child or on the family.

By using the World Bank's new poverty data that are based on the most recent International Comparison Program report, this research aims to revisit the response of poverty rate to increase in real gross domestic product (GDP) per capita.

The response is summarized in terms of elasticity of poverty with respect to real GDP per capita, which is the ratio of annual percentage fall in poverty rate to annual percentage increase in real GDP per capita. The main calculations are done for the entire group of less‐developed countries (LDCs), poverty‐dense South Asia region, and India, which probably has the highest poverty rate. The periods studied are 1981‐1990, 1990‐1999, and 1999‐2005. The calculations are done for four different poverty measures.

Five major points are noted. First, the elasticities generally show a declining tendency over the period, indicating that poverty‐reducing impact of income growth has been weakening. Second, the elasticities show huge differences across the poverty lines, and generally decline with higher poverty lines. Third, while global elasticities for $1.00 poverty line bear some resemblance to those reported or used by many scholars, elasticities for $2.00 and 2.50 poverty rates are dramatically lower, and reinforce the view that many influential estimates show the effect of income growth on poverty to be much higher than the data indicate. Fourth, elasticities for poverty‐dense South Asia are again seen to be much lower than those for the entire LDC group. Fifth, for India, where $2.00 and 2.50 poverty rates are higher than even in Sub‐Saharan Africa, the elasticities are extremely low and have been declining despite an acceleration in income growth. The overall implication seems to be that income growth has generally been less pro‐poor during the globalization era of the 1990s and the 2000s than during the 1980s. In particular, income growth in India seems to have had an extremely small impact on poverty, and that impact, notably for $1.00 and 1.25 poverty lines, has been declining.

First, although there is a vast literature on growth elasticities of poverty, this seems to be the first study that uses World Bank's new poverty data to judge the impact of income growth on poverty. Second, this is the only study that directly estimates and compares elasticities for the four poverty lines of $1.00, 1.25, 2.00, and 2.50, and shows large differences in the elasticities for different poverty lines. Third, this is probably the only work that compares elasticities for the 1980s, 1990s, and the 2000s. Fourth, although some indication of very low elasticities for South Asia and India does exist in a recent study, $2.50 elasticities reported in the present work for India, and even South Asia, should constitute an eye‐opener for scholars, policy‐makers, and international organizations in regard to the potential role of income growth in poverty reduction. Fifth, the observed decline in most elasticities during the 1990s and 2000s, as compared with the 1980s, despite higher income levels and growth rates, may shed light on the likely role of globalization in reducing poverty.