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This chapter focuses on an important aspect of economic inequality – the question of how people perceive inequality and whether these perceptions deviate in any meaningful way from statistical measures of inequality. Using a novel approach, the author investigates whether individuals across different countries are able to correctly estimate the shape of income distribution of the country where they reside. The author further investigates whether individuals have the distribution of a particular reference group in mind when they answer questions on inequality. The author finds that perceptions of inequality are frequently shaped by reference groups such as those formed according to educational attainment, age, and gender.

The major purpose of this study was to compare the fresh chicken meat consumption structure of urban and rural households of different income levels in Van province, Turkey.

The sample size of 96 urban and 95 households were selected randomly using sampling selection method where the population is limited. The data were collected by personnel interviewing from the households in eight districts and eight villages of Van province, Turkey between 15 November 2004 and 5 March 2005. The households were classified as the lowest, medium, upper medium and the highest income groups. Independent‐samples t‐students, one‐way ANOVA, chi‐square and linear regression statistical tests were used.

The average yearly fresh chicken meat consumption per head was 19.1 and 14.6 kg for urban and rural households, respectively. According to regression test results $1,000 increase in yearly income will raise the yearly chicken meat consumption of urban and rural households by 3.8 and 8.7 kg, respectively. The income was effective on both the consumption level and behavior of households. The urban households attached more attention to habit and nutrition value variables, while the cheapness was the major factor affecting the rural households' preference of chicken meat.

The article analyzes the differences/similarities of urban and rural households in terms of consumption expenditures and consumers' behaviors towards fresh chicken meat. The paper is an original research subject as regards its potential contributions of the nutritional measures to be taken and marketing strategies to be developed in the region.

The emergence of housing microfinance (HMF) as a response to the low-income groups’ inability to access traditional housing finance is an innovative strategy by creative Microfinance Institutions. Yet, low-income groups’ still face barriers in accessing these innovative products, particularly in Ghana. This paper aims to examine the critical demand barriers and how to develop and improve the design and delivery of HMF interventions in the low-income housing market in Ghana.

The paper achieves its aim by adopting a focus-group discussion strategy to examine the constraints to the demand for HMF among low-income groups’ in Ghana.

Nine factors constrained the design, delivery and demand for HMF – affordability issues; risk; land tenure insecurity; high interest rate; collateralization and insurance challenges; unfavourable HMF loan conditions; lack of social capital; high cost of land and building materials; and ineffective consumer protection.

Although limited to low-income groups, strategies to stimulate demand for HMF should focus on three broad problems – affordability, macroeconomic management and institutional development and government intervention.

The paper makes significant contributions to the body of knowledge, regarding understanding the low-income housing market and its financing in the context of a developing country.

The novelty of the paper is founded on the premise of the research methodology adopted to unearthed the barriers to the demand of HMF in Ghana. Future research effort should be directed at exploring the motivations behind low-income groups’ decision to demand HMF and the risk associated with the use of HMF in the context of Ghana.

The purpose of this paper is to first develop indicators for how total inequality, measured through the ANalysis Of GIni (ANOGI) framework, is mapped onto each group – i.e. indicators for each group's share of total inequality. Second, to develop indicators for the sensitivity of total inequality and its structure to changes in the composition of the population. Specifically, to develop indicators for how the Gini index and its ANOGI components react to (1) changes in the population-share of each group, (2) migration between groups, (3) changes in group incomes and (4) income transfers between groups.

First, the expressions for these indicators are derived analytically. Following this, the indicators are applied to labour-market data from Brazil, contrasting the results to others available in the literature.

The indicators described above are presented and their characteristics discussed. Empirically, it is illustrated how labour formalisation in Brazil was an inequality-reducing process between 2002 and 2011, contrary to previous incorrect measurements of the phenomenon based on income-source decompositions for Latin American countries.

Indicators for how total inequality reacts to changes in group sizes and income were unavailable for the ANOGI framework, which this article provides. The empirical illustration shows how this leads to a reassessment of important inequality dynamics, using the example of labour formalisation in Brazil. Contrary to the existing literature, it is shown how this was a progressive development, with key implications for social and labour-market policy. This framework can be used to assess the impact of diverse processes in the ANOGI methodology.

There has been growing interest in recent years in modelling various poverty‐related issues. However, there have not been many attempts at empirical estimation of best‐fit income distribution functions with an objective of subsequent use in poverty focused models. The purpose of this paper is to fill this gap by empirically estimating best‐fit income distribution functions for different household income groups and computing poverty and inequality indices for Sri Lanka.

The authors empirically estimated a number of popular distribution functions found in the income distribution literature to find the best‐fit income distribution using household income and expenditure survey data for Sri Lanka and subsequently estimated various poverty and inequality measures.

The results show that the income distributions of all low‐income household groups follow the beta general probability distribution. The poverty measures derived using these distributions show that among the different income groups, the estate low‐income group has the highest incidence of poverty, followed by the rural low‐income group.

According to the best of the authors' knowledge, empirical estimation of income distribution functions for South Asia has never been attempted. The results of this study, even though based on Sri Lankan data, will be relevant to most developing countries in South Asia and will be very useful in developing poverty alleviation strategies.

This study aims to assess the availability of micro-takāful (micro-Islamic insurance) schemes for the protection of houses belonging to low-income groups in Malaysia.

The study is conducted via desk research and interview discussions with representatives from takāful operators and key stakeholders.

Findings of the study confirm the importance of micro-takāful as a scheme for the protection of low-income groups. Micro-takāful schemes in Malaysia are, however, skewed towards the protection of health, life and family. The study finds little industry interest in the provision of micro-takāful schemes for the protection of houses for low-income groups. This represents another important area that takāful operators should take into consideration in their planning.

The paper will help the Majlis Agama Islam Negeri-Negeri (MAINs), the regulator, takāful operators and government agencies such as Jabatan Wakaf, Zakat dan Haji (JAWHAR) to generate awareness and promote the offering of micro-takāful schemes for the protection of houses belonging to low-income groups in Malaysia.

In light of the limited availability of micro-takāful schemes for the protection of houses for low-income groups, this study argues that takāful operators should offer and promote them.

The study is significant for fulfilling the need of low-income groups in Malaysia to protect their houses in the event of catastrophes so that they will not suffer significant losses. Rather, micro-takāful will assist them in improving their standard of living.

This study promotes the idea that it is essential to facilitate the low-income groups with appropriate coverage made available to them; micro-takāful schemes in protecting their houses and home contents, should any defined calamities occur. The outcomes are necessary for further development of micro-takāful models, specifically for the protection of properties. The developed model shall be proposed for application in the Malaysian takāful and housing industry to facilitate low-income groups to obtain protection for their household and home contents.

The paper offers the first systematic and comprehensive analysis of dynamics of economic growth slowdown for India at the sub-national level covering the period 1993–2013. In light of India’s regional diversity and variation in terms of gross regional domestic product (GRDP) per capita, the purpose of this paper is to empirically investigate the growth dynamics at the sub-national level. The paper aims to answer two questions: first, are determinants of economic slowdown likely to differ across income groups? Second, what are the probabilities that the sub-national economies in India will experience a growth slowdown in the near future?

The paper undertakes a comprehensive analysis of growth slowdown for 106 Asian developing economies encompassing the national economies in ASEAN and the sub-national economies in Greater China, Indonesia and India. To be sure, the authors are not making any direct comparison to countries at different stages of economic development; rather, the comparison is between economies/sub-national economies that fall in the same income category. The authors construct income group-specific logistic model to identify the relevant determinants of growth slowdown and use Bayesian model averaging techniques as a robustness check. The authors also compute economy-specific predictive probabilities of growth slowdown over the period 2012–2017.

The empirical results show that a growth slowdown in various income groups tends to be associated with different sets of determinants, although broadly, across all income groups, the occurrence of growth slowdown is positively associated with higher GRDP per capita. The average predictive probability of growth slowdown for India’s sub-national economies is 0.43, indicating that, on average, India’s sub-national economies have a 43 per cent chance of experiencing growth slowdown in the 2012–2017 period. Overall, the prospects of the sub-national economies of India are less worrying than that of Greater Chinese economies but bleaker than the outlook for economies in ASEAN and Indonesia.

The research contributes to the understandings of growth dynamics, especially the issue of growth slowdown, in India. This paper differs from the existing literature on growth dynamics by being India centric and analysing the issue of growth slowdown at the sub-national level. Despite a steady increase in the level of GRDP per capita for the sub-national economies of India since 1993, significant disparities still exist across economies. Identifying determinants of growth slowdown and subsequently computing predictive probabilities serves as early warning signs for policy-makers and generates insights on how development policy can be shaped.

The purpose of this paper is to analyse the social and economic disparities across social groups in rural Uttar Pradesh. The paper demonstrates that the structure of the rural economy in India is characterised by deeply ingrained prejudices and social discrimination. The four-village study undertaken in one of the most populated states in India, Uttar Pradesh, clearly reveals that there is a huge disparity in terms of various social and economic indicators and that the so-called high growth has hardly helped in bettering their lives.

The paper is based on primary data collected from the Census survey of villages exploring socio-economic disparities across social groups by using decomposition models.

The results evidently lend credence to the postulations that a large proportion of the disadvantaged groups are prone to multiple deprivations, both in the society and in labour markets. The inquiry reveals this phenomenon clearly.

From the policy point of view, it is therefore imperative to ensure the direct and focussed provision of basic human requirements in terms of education, employment and income of the state. The implementation of direct policy interventions is an absolute necessity if the state has to guarantee convergence and the inclusive growth process on a sustained basis.

This paper fulfils an identified need to study the inequality among the social groups in terms of education, employment, income and livelihood opportunities in selected villages of four districts of Uttar Pradesh.

Longitudinal data are required to characterise and measure the dynamics of income-related health inequalities (IRHI). This chapter develops a framework to evaluate the impact of population changes on the level of cross-sectional IRHI over time and thereby provides further insight into how health inequalities develop or perpetuate themselves in a society. The approach is illustrated by an empirical analysis of the increase in IRHI in Great Britain between 1999 and 2004 using the British Household Panel Survey. The results imply that levels of IRHI would have been even higher in 2004 but for the entry of youths into the adult population and deaths, with these natural processes of population turnover serving to partially mask the increase in IRHI among the resident adult population over the five-year period. We conclude that a failure to take demographic changes into account may lead to erroneous conclusions on the effectiveness of policies designed to tackle health inequalities.

This paper aims to understand how the Covid-19 pandemic has changed consumers’ perceptions of outdoor consumption categories, such as retail shopping, eating out, public events and travel and how these perceptions may impact businesses in these domains in the long term. Further, this research aims to understand demographic effects on outdoor consumption inhibition during the current pandemic and discuss how businesses can use these insights to rebrand their offerings and evolve after the pandemic.

Data collected by CivicScience, a survey-based consumer intelligence research platform, during April–July 2020 forms the basis of the preliminary analysis, where the chi-square test has been used to examine significant differences in consumer attitudes between different age groups, income groups and genders. Further, a social media analysis of conversations around outdoor consumption activities is undertaken to understand the rationale behind these demographics-based attitude differences.

Results lend varying degrees of support to the hypothesized consumer attitudes toward outdoor consumption activities during the Covid-19 pandemic. As the pandemic wore on, older (vs younger), female (vs male) consumers and lower (vs higher) income-group consumers had reportedly higher inhibition toward different outdoor activities. Older individuals were significantly less likely to shop, dine and attend public events than younger individuals. Lower-income consumers were significantly less likely to dine and travel than higher-income consumer consumers. Female consumers were significantly less likely to shop and travel than male consumers. Social media scan of conversations suggests that differences in perceived health and financial risks may have resulted in demographics-based differences in outdoor consumption activities.

This study contributes to the literature by understanding demographic differences in consumer participation in outdoor activities. One limitation is that due to the time-sensitive nature of the pandemic research, further studies could not be conducted to understand the implications of other variables, beyond demographics that influence consumer behavior during a crisis. A future research direction is to understand how other psychological variables or traits, influence health and financial risk-taking behavior during a similar crisis.

The principal contribution of the present research is that it tests the risk-taking theory in the context of outdoor consumption during the Covid-19 pandemic. The present research has implications for businesses as they continue to evolve during and post Covid-19.