Search results

The paper aims to look into the implications of urban informality in Chris Abani's Graceland as represented in slum life and urban poverty as products of over urbanization and globalization, seeking to unravel multi-layers of the human side of the slum.

The paper examines slum life from a descriptive approach to highlight how people survive under poverty. The study of the culture of slums entails an analysis of the survival techniques and everyday practices of slum dwellers, the relations and patterns of behavior and the outcomes of the interplay between place, culture and power relations in such communities.

The urban slum dwellers utilize everyday forms of resistance which comprise a number of “low-profile techniques” to subvert state-imposed power structures and break the cycle of poverty.

Despite the relevance of a post-colonial approach to the texts, this paper is limited to the study of the impact of urban poverty on individuals.

The margin, represented in the urban poor, is brought into focus and perceived in a new light of empowerment which challenges alienating discourses.

The multidimensional vision of Nigeria in Abani's text highlights the cultural and economic impacts of multiculturalism, neocolonialism and globalization on the urban poor.

The paper formulates a framework for understanding the culture of the slum as a space of a peculiar nature, seeking to deconstruct a fixed view of slum life and poverty culture.

With the recognition that generating economic growth is not the same as sustaining it, the challenge to catch-up and growth literature is discerning between these processes. Recent research suggests that the decline in the frequency of “shrinking” episodes is more important for long-term development than higher growth rates. By using a framework centred around social capabilities, this study aims to investigate the effects of income inequality and poverty on economic shrinking frequency, as opposed to previous literature that has exclusively had a growth focus. The aim is to investigate how and why some societies might be more resilient to economic shrinking.

The research is a quantitative study, and the authors build a longitudinal data set including 23 developing countries throughout 42 years to test the paper’s purpose. This study uses country and period fixed-effects specifications as well as cross-sectional graphical representations to investigate the relationship between proxies of economic inclusivity and the frequency of shrinking episodes.

The authors demonstrate that while inclusive societies are more resilient to shrinking overall, it is changes in poverty levels, but not changes in income inequality, that appear to be correlated with economic shrinking frequency. Inequality, while still an important element to explain countries’ growth potential as an initial condition, does not seem to make the sample more resilient to shrinking. The authors conclude that the mechanisms in which poverty and inequality are correlated with the catch-up process must run through different channels. Ultimately, processes that explain growth may intersect but not always overlap with the ones that explain resilience to shrinking.

The need for inclusive growth in long-term development has been championed for decades, yet inclusion has seldom been explored from the shrinking perspective. Though poverty reduction is already an important mainstream political objective, this paper differentiates itself by providing an alternate viewpoint of why this is important. Income inequality could have more of an economic growth limiting effect, while poverty reduction could be required to build resilience to economic shrinking. Developing countries will need both growth and resilience to shrinking, to catch-up with higher-income economies, which policymakers might need to balance carefully.

Basic income (BI) is predicted to be the major economic intervention in response to raising income inequality and accelerating technological progress. Financing is often the first question that arises when discussing a BI. A thorough answer to this question will determine the sustainability of any BI program. However, BI experiments implemented worldwide have not answered this question. This paper explores two options for a BI program in Australia: (1) BI and (2) top-up basic income (TBI).

The authors employ “back-of-the-envelope” calculations with the latest publicly available data on income distribution, the poverty line and the share of income tax in the government revenue to estimate the costs of implementing BI in Australia.

Even without any change in the current tax regulations, the TBI option, which requires a contribution of 2–3% disposable income from net contributors, will guarantee that no Australian family lives under the current national poverty line. The BI for all options is not financially feasible under the current tax and transfer regulations because it requires an additional tax rate of at least 42% of disposable income from net contributors.

The results of this study can serve as inputs for the design and implementation of BI options in Australia and similar countries.

This is the first paper that examines the macroeconomic effects of BI options in Australia.

The COVID-19 pandemic has wrought havoc on economies around the world. The purpose of this study is to learn about the distributional impacts of the pandemic.

The authors contribute new theoretical and empirical evidence on the distributional impacts of the pandemic on different income groups in a multicountry setting. The authors analyze rich individual-level survey data covering 6,082 respondents from China, Italy, Japan, South Korea, the United Kingdom and the United States. The results are robust to various econometric models, including ordinary least squares (OLS), Tobit and ordered probit models with country-fixed effects.

The authors find that while the outbreak has no impact on household income losses, it results in a 63% reduction in the expected own labor income for the second-poorest income quintile. The pandemic impacts are most noticeable for savings, with all the four poorer income quintiles suffering reduced savings ranging between 5 and 7% compared to the richest income quintile. The poor are also less likely to change their behaviors regarding immediate prevention measures against COVID-19 and healthy activities. The authors also found countries to exhibit heterogeneous impacts.

Designing tailor-made social protection and health policies to support the poorer income groups in richer and poorer countries can generate multiple positive impacts that help minimize the negative and inequality-enhancing pandemic consequences. These findings are relevant not only for COVID-19 but also for future pandemics.

The authors theoretically and empirically investigate the impacts of the pandemic on poorer income groups, while previous studies mostly offer empirical analyses and focus on other sociodemographic factors. The authors offer a new multicountry analysis of several prevention measures against COVID-19 and specific health activities.

The authors analyse a growth model to explain how economic fluctuations are primarily driven by productive capacities (i.e. capacity utilization driven by innovations and know-how) and productive inefficiencies.

This study’s methodology consists of the combination of the economic growth model, à la Solow–Swan, with a sigmoidal production function (in capital), which may explain growth, poverty traps or fluctuations depending on the relative levels of inefficiencies, productive capacities or lack of know-how.

The authors show that economies may experience economic growth, poverty traps and/or fluctuations (i.e. cycles). Economic growth is reached when an economy experiences both a low level of inefficiencies and a high level of productive capacities while an economy falls into a poverty trap when there is a high level of inefficiencies in production. Instead, the economy gets in cycles when there is a large level of the lack of know-how and low levels of productive capacity.

The authors conclude that more capital per capita (greater savings and investment) and greater productive capacity (with less lack of know-how) are the economic policy keys for an economy being on the path of sustained economic growth.

Existence of working poverty reduces the effectiveness of the strategy of “increasing employment to reduce poverty”. Developed countries are already concerned about it but insufficient attention has been made by developing countries. Focusing on developing countries this study identifies (1) the effects of trade openness (TO) on working poverty and (2) whether the working poverty trap exists or not in developing countries. Both objectives are also analyzed for three subsamples of low income, lower-middle income and upper-middle income developing countries.

Panel data for 98 developing countries over the period of 2000–2016 have been collected for the study. Fixed effect and GMM methods are applied for static and dynamic analysis, respectively.

The study finds that TO significantly reduces working poverty rate (WPR) (mainly driven up by upper-middle income developing countries). The positive association between WPR with its previous year's rate proves the existence of working poverty trap.

The study's outcome is subject to selected time, countries and methods. Future research should use more improve methods and should identify the channels through which TO could affect working poverty.

Middle income and upper-middle income developing countries should increase TO to reduce the working poverty. Low income developing countries that have the highest working poverty should search the way to derive beneficial effects of trade on working poverty.

Working poverty is not only a developed country issue rather it is a global phenomenon. Hence, it is expected that the study will raise the social consciousness about this phenomenon in developing countries too.

The study fulfills the gaps of identifying the effects of TO on working poverty and existence of in-work poverty trap in developing countries.

The purpose of this paper is to shed some lights on the process of mission drifting or abandoning poverty objective by Islamic microfinance institutions (IMFs). The paper investigates whether the extensive use of banking logic changes IMFs, from focusing on both development and financial objectives to only considering sustainability as their primary mission.

This paper adopts mixed methods by analyzing 7,200 microfinance data from Microfinance Exchange Market and reviewing annual reports and websites of 25 IMFs to examine their vision and mission statements and other related information.

The finding shows Islamic microfinance has not changed, despite increasing adoption of financial or banking performance measures. However, size and age of the institutions may affect the outcome in the future. The authors find that smaller microfinance institutions maintain genuine objective to serve the poor, as the grow larger they would be more inclined toward sustainability objectives.

The research is limited on the sample size as data on Islamic microfinance globally is limited. However, the paper looked at the global data rather than local data to compensate for this limitation. Future study would be further taking the study through qualitative methods to support the study.

This paper aims to shed some lights on the process of mission drifting or abandoning poverty objective by IMFIs. The paper investigates how has the extensive use of financing logic has changed IMFIs from focusing on both development and financial objectives to only considering sustainability as their primary mission. Arun and Hulme (2009) argued that the interaction of multiple logic within microfinance institutions, i.e. financial vs social, could pose some serious management dilemmas within microfinance institutions. Further, commercialization puts pressure on the field staffs to achieve financial targets and often neglect their poverty outreach mission to the poor. The well-known crisis in Andhra Pradesh, India where clients of microfinance institutions committed suicide after being shamed by field officers who tried to collect payments of loans (Mader, 2013; Taylor, 2011), provides a powerful case of the impact of financialization to microfinance clients.

This study aims to examine the effect of structural transformation on poverty alleviation in Sub-Saharan Africa (SSA) countries with a higher share of services as a percentage of gross domestic product (GDP). The study specifically focuses on the value-added share as a percentage of GDP in the agricultural, manufacturing, industrial, and service sectors using time series data from 1988 to 2019.

The study utilizes the autoregressive distributive lag (ARDL) bound test framework for estimation, based on the conclusions drawn from the augmented Dickey-Fuller and Phillips–Perron unit root tests, which provide evidence of a mixed order of integration.

The result reveals that agriculture value-added (AVA), manufacturing value-added (MVA), industrial value-added (IVA), and services value-added (SVA) have a positive and significant impact on poverty alleviation in both the short and long run. However, the agriculture sector is found to be more effective in reducing poverty compared to the other sectors examined in this study. Additionally, this study challenges the notion that SSA countries have undergone an immature structural transformation. Instead, it reveals a pattern of stagnant structural transformation, as indicated by the lack of growth in the industrial and manufacturing value-added shares of GDP.

To enhance productivity and reduce poverty, SSA economies should adopt a development strategy that prioritizes heavy manufacturing and industrial sectors, leading to a transition from the agricultural to the secondary and tertiary sectors.

The study contributes to the emerging literature on structural transformation by investigating which sector is more efficient in reducing poverty in SSA countries, using the value-added share as a percentage of GDP for agricultural, manufacturing, industrial, and service sectors. The study also aims to determine if SSA countries have experienced immature structural transformation due to the growing share in the service sector.

The paper validates the threshold argument in the informality–poverty nexus. Recent literature and policy have argued the existence of a threshold in the relationship.

The study adopts dynamic panel threshold analysis, estimated within the framework of system Generalized Method of Moments (SGMM) to control for endogeneity and simultaneity. Data from 40 selected sub-Saharan African countries between 1991 and 2018 are used for the study.

Empirical results confirm the existence of an average threshold of 31% share of informality in GDP. Also, the paper finds that threshold of informality that addresses mild and severe poverty varies between 24.32 and 36.75%.

The work is limited to African economies. Evidence from other emerging and developed economies is suggested for further research.

Overall, the empirical results indicate a threshold in the informality–poverty nexus. Therefore, an excessive informality level does not benefit the African growth process. Policymakers and governments are advised to operate within the bounds of the threshold of informality that reduces poverty and improve the African economic growth process.

The paper is the first study to provide empirical findings on the nonlinear and threshold argument in the informality–poverty nexus, as far as the authors know.

There is ongoing debate amongst in-work poverty researchers as to how to answer the question “who is counted as in-work poor?” and how to define the minimum size of work that should be used to determine a “working threshold”. The purpose of this paper aims to contribute to this debate by testing five different definitions of a “working threshold” and discussing their implications when testing the different measurement outcomes.

The authors use data from Statistics Sweden (SCB), including the total population registered as living in Sweden for each year from 1987 to 2017. All calculations are on a yearly basis and in fixed prices (2017). The data set used is based on linked administrative data retrieved from Statistics Sweden and the software used is SAS 9.4.

Results show how in-work poverty trends differ by measurement approach. The two definitions with the lowest income thresholds are found to include a very heterogenic group of individuals. The development of in-work poverty in Sweden over 30 years show decreasing in-work poverty during the first decade followed by an increase to almost the same levels at the end of the period. In-work poverty in Sweden has transformed from being female-dominated in 1987 and the typical person in in-work poverty 2017 is a male immigrant, aged 26–55 years.

This methodological discussion might lead to a new definition of who is a worker amongst the in-work poor, which could consequently affect who is counted as being in in-work poverty and lead to new social policy measures.

This is, to the authors' knowledge, the first time different definitions of work requirement used to define in-work poverty have been tested on a data set including the total population and over a period of 30 years.