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The Social Security Administration publishes a series of pamphlets and leaflets designed to distribute information about Social Security programs and policies. In general these publications are of high quality: succinct, well‐written, informative, and highly readable. Most of these publications are frequently revised, many on an annual basis.

In an economy with a developed financial system, wages and salaries are not the only source of income for households. Capital markets allow households to invest their saving and earn interest and return. An accumulation of wealth is greater for households with higher incomes, who then earn more interest and returns from their wealth, leading to more inequality of income among households. The recent financial crisis experienced in Japan, characterized by a substantial decrease in stock and real estate prices, should have had a reversing effect on the income distribution among Japanese households. Time-series data of quintile income shares and a measure of income inequality in Japan are used to analyze the effects of the financial bubble of the late 1980s and the financial crisis of the 1990s on the income distribution in Japan. The result reveals a significant de-equalizing effect of rising asset prices on income distribution in Japan. However, the equalizing effect of the falling prices of stocks and real estate was partially offset by the de-equalizing effect of rising unemployment in the late 1990s. Furthermore, taking into account the effect of the financial market condition, the income distribution fluctuates less pro-cyclically than previous studies indicated.

Carbon reduction in the construction supply chain can critically affect the construction industry’s transition to an environmentally sustainable one. However, implementing carbon reduction in all parties is restricted because of the poor understanding of the drivers influencing the low-carbon construction supply chain (LCCSC). The purpose of this paper is to systematically identify the drivers of LCCSC, analyze their causality, and prioritize the importance of their management.

A decision-making analysis process was developed using an integrated decision-making trial and evaluation laboratory (DEMATEL)–analytical network process (ANP). First, the hierarchical drivers of the LCCSC were identified through a literature review. The DEMATEL method was subsequently applied to analyze the interactions between the drivers, including the direction and strength of impact. Finally, the ANP analysis was used to obtain the drivers’ weights; consequently, their priorities were established.

Various factors with complex interactions drive LCCSC. With respect to their influence relationships, incentive policy, regulatory policy, consumers’ low-carbon preference, market competition, supply chain performance, and managers’ low-carbon awareness have more significant center degrees and are cause drivers. Their strong correlations and influence on other drivers should be noticed. In terms of weights in the driver system, regulatory policy, consumers’ low-carbon preference, supply chain performance, and incentive policy are the key drivers of LCCSC and require primary attention. Other drivers, such as supply chain collaboration, employee motivation, and public participation, play a minor driving role with less management priority.

Despite some contributing studies with localized perspectives, the systematic analysis of LCCSC drivers is limited, especially considering their intricate interactions. This paper establishes the LCCSC driver system, explores the influence relationships among the drivers, and determines the key drivers. Hence, it contributes to the sustainable construction supply chain domain by enabling decision-makers and practitioners to systematically understand the drivers of LCCSC and gain management implications on priority issues with limited resources.

We investigate the role of fiscal policy, through several measures of government revenues and expenditures and redistribution, on disposable and market income inequality and economic growth as well as the interaction between inequality and growth for 31 European countries from 1995 to 2019.

We use a simultaneous equations model to assess the linkage between economic growth, inequalities and fiscal policy variables.

(1) While disposable income inequality has a negative effect on all fiscal policy variables, market income inequality has a mixed effects; (2) for Eastern European countries, public consumption and direct taxation positively influence economic growth; conversely, for Western European countries, the effects are negative; (3) disposable and market income inequality have a positive effect on growth for Eastern European countries, and a negative influence on growth for Western European countries; (4) growth contributes to the increase of disposable and market income inequality for Eastern European countries; for Western European countries, the effects are opposite; and (5) fiscal policy allows for the attenuation of disposable income inequality.

The different results between the role of market and disposable income inequality levels lead us to suggest tax progressivity as an important feature to consider when analyse the trivariate relationship between inequalities, fiscal policy and growth. Furthermore, there are different dynamics between inequality and growth, and the role of fiscal policy, on both Eastern and Western European countries.

This paper applies a recently developed method of ranking socioeconomic inequality in health to ranking U.S. happiness from 1994 to 2012 using the GSS data. We also compare happiness between subgroups as decomposed by gender, race, and age. We establish and test a monotone condition of happiness – a richer person is likely to be happier. Under the monotone condition, standard tools of welfare and inequality ranking can be applied straightforwardly.

When health is measured by a bounded variable, differences in health can be presented as levels of attainment or shortfall. Measurement of heath inequality then usually involves the choice of either the attainment or the shortfall distribution, and this choice may affect comparisons of inequality across populations. A number of indices have been introduced to overcome this problem. This chapter proposes a framework in which attainment and shortfall distributions can be jointly analyzed. Joint distributions of attainments and shortfalls are defined from points of view consistent with concerns for relative, absolute or intermediate inequality. Inequality measures invariant according to the corresponding ethical criterion are then applied. A dominance criterion that guarantees unanimous rankings of the joint distributions is also proposed.

This chapter’s goal is to determine the essence and causal connections of the emergence of conflicts at the level of economic systems (countries) due to technological inequality and to find the perspectives of overcoming these conflicts. The chapter models the economic and political conflict of modern time under the conditions of high-tech development based on the methods of variation analysis and regression analysis. It is proven that the scale of technological inequality in the world economy is very large. It is the economic and political conflict of modern time, the essence of which is as follows: the differentiation of economic systems amid digital development predetermines the opportunities for their entering the world markets. This chapter contributes to the development of the theory of economic and political conflicts, proving the existence of technological inequality as a new form of differentiation of economic systems amid digital development and defining this inequality as a new economic and political conflict of modern time. The chapter also contributes to the development of the theory of international trade, disproving – for the first time – the action of the principle of freedom of international trade. The authors describe technological barriers of the world markets, which limit the presence of countries that are behind the leading countries by digital development. Three key factors that determine the level of technological development of the economy are given: knowledge-intensive employment, venture investments and financing of innovations in business. Due to the above, the chapter provides opportunities for technological conflict management.

Existing research shows that popular income inequality measures fail to reflect their respondents’ perceptions of income inequality. However, most of the current literature focuses on what is negative, telling us what individuals do not perceive. This paper presents an alternative methodology to help uncover actual perceptions of inequality, how people perceive inequality instead of how they don’t. Multidimensional scaling, a statistical tool for visualizing dissimilarity data as a low-dimensional map, is used on results of a simple grouping task with a given distribution set. The outcome is a perception map that presents respondents’ answers spatially, which enables additional insight into respondents’ thinking. The map created by the respondents’ replies, presented in this paper, indicates that their decisions are driven by two factors: what the biggest gap in incomes of a given distribution is and whether some groups have equal incomes. The result additionally validates multidimensional scaling as a tool for measuring income inequality perception and opens new ways of improving inequality perception questionnaires.

This chapter is aimed at reflecting technologies as the key resources of modern regions, identifying the essence and modelling the digital inequality of Russian regions, as well as forming the methodological foundation for the consistent resolution of conflicts in the regional economy of Russia. Through the example of the regional economy of modern Russia, the method of the variation analysis is used for the analysis of differences between regions that are individually investigated in relation to the level of digitalization, and their regression dependence on the level of technological development is determined. As a result, it has been found that Russian regions are characterized by a number of conflicts due to their multi-aspect inequality; these include innovation conflicts, investment conflicts and quality of life conflicts. The abovementioned conflicts are mainly caused by differences in the provision of technological resources to regions (in their digitalization). The novelty and fundamental significance of this chapter consist in the clarification of the cause of spatial inequality through differences in the provision of technological resources to regions. The unique character of this chapter consists in justification of the technology factor of the emergence of inequality and conflicts of regions. This chapter proves that technological inequality exacerbates other aspects of inequality and conflicts of regions. Originality and practical relevance of this chapter consist in the evaluation of the prospects and development of recommendations for conflict management in Russian regions through overcoming differences in their technological support and accelerating the pace of their digitalization.

In the context of social sustainability, characterization of sustainable development embroils a process of growth not only without social disruption but also without the involvement of any severe risk of environmental collapse of the ecosystem. Economic, social, and environmental aspects in an interactive setup determine the different dimensions of sustainability. In this backdrop, this chapter focuses on the dimensions of social sustainability of the development process – particularly with an eye on the determining factors of social tension resulting in social disruption which in turn become noticeable through violent forms of different types of crime – homicides (murder), property-related crimes (dacoity, robbery, burglary, and theft), and riots. Although the occurrences of such crimes in an indicator of weakness in the law and order of the state, one needs to evaluate the significant role played by various types of deprivation and discrimination. This study attempts to find out the role played by economic deprivation for the incidence of such crimes in the presence of infrastructural and socioeconomic developmental factors. This analysis is performed in the context of India using generalized method of moments (GMM) structure with panel data of 16 major Indian states from 2005 to 2016.