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The aim of this paper is to investigate the linkages between intergenerational income mobility and crime for 27 OECD countries, considering different types of crime, family ties, enforcement, in terms of punishment rate and perceived quality of the legal system, redistributive outcomes and government expenditure.

Using the Global Database of Intergenerational Mobility (GDIM), the empirical analysis is conducted by coupling the principal components analysis with the hierarchical clustering. The variance tests verify the robustness of the clusters.

Income mobility is higher in those countries where there is high public investment devoted to education and high perception of rule of law to buffer the adverse effects of crime on income mobility. The redistributive policies must be oriented to better the wealth distribution and not only income equality opportunity to decrease crime and to increase income mobility. A plausible existence of “hidden” income mobility emerges from the linkages between income mobility and frauds.

More redistributive policies for education, income and wealth equality should be applied in those countries with low income mobility and high violent crime rates; higher punishment rates should be applied to reduce the rates of thefts and frauds in high income mobility countries.

The main contribution is the identification of what type of crime leads to downward income mobility, as well as the role of perceived quality of the legal system, government and family ties in the association between income mobility and crime, suggesting also the potential existence of “hidden” income mobility.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0520

This study explores whether ethnic minorities exhibit varying levels of income inequality compared to the host population.

The research leverages a unique immigration event in Italy, specifically the settlement of multiple Albanian groups in southern Italy during the 16th century. This historical occurrence enables an investigation into the role of cultural traits in income inequality, as these groups are situated in the same geographical region and often share borders.

The results, which remain consistent after undergoing various robustness checks, indicate that Albanian villages, while still preserving their identity and tradition, tend to experience an approximately 2% lower level of income concentration compared to similar Italian municipalities.

Our findings aim to provide supporting evidence for future policy considerations regarding the long-term impact of immigration on income inequality.

Informal migrant workers and street vendors have long been recognized as vulnerable groups in urban areas of Global South countries. However, limited studies exist on the economic challenges faced by migrant street vendors during crises. We aim to address this gap by shedding light on their livelihood and welfare losses during a public health crisis.

This research uses descriptive and qualitative analyzes to triangulate the results. Data are derived from surveys and in-depth interviews with migrant street vendors in the two biggest cities in Vietnam during the COVID-19 pandemic.

The street vendors experienced significant business loss and consumption reduction during social distancing as well as encountered difficulties in recovering their businesses in the “new normal.” These adverse consequences were also found to disproportionately affect women vendors. Additionally, despite adopting various strategies and mitigation mechanisms to sustain their businesses and consumption, these efforts proved insufficient.

This research underscores the importance of short-term and long-term urban policies aimed at supporting and promoting the social inclusion of street vendors, particularly migrant and women vendors.

This research represents one of the early attempts to explore the adverse effects of a public health crisis on migrant street vendors and to examine whether the crisis disproportionately affected vendors from different genders and educational backgrounds. It also examines their business recovery in the “new normal.”

The purpose of the chapter is to determine social consequences of crises of economic systems and to evaluate the risks of transition of economic crisis from a stimulator of economic development into source of social problems and, in particular, into social crisis.

The authors use the methods of horizontal and trend analysis, as well as the method of regression analysis for determining the dependence of the index of happiness, calculated by the New Economic Foundation, on the growth rate of GDP in current prices according to the International Monetary Fund (IMF). In addition to this, regression analysis of dependence of unemployment rate according to the IMF on the index of economy digitization, calculated by Cisco, in 2018 is determined. The objects of the research are the leading developed countries (G7) according to the classification of the IMF and countries of BRICS (as representatives of developing countries).

As a result of the research, it is determined that traditionally studied indirect indicator of social consequences of innovational development of economy after the 2008 crisis – unemployment rate – is not very informative and is less studied; the index of happiness – which describes public moods with high precision – showed reverse dependence on growth of GDP in constant prices and on digitization of economy. The example of the 2008 crisis showed that developed and developing countries had new social problems in the period of post-crisis restoration of economy; these problems became more clearly expressed than in the period of decline. In the mid-term (by 2020–2025), crisis might transform from stimulator of economic development into a source of social problems.

The obtained results emphasize priority of sustainability of development of economic systems in the economic and social aspects.

Introduction: The word consists of different phonemes, which are interconnected to form a meaningful word, since phonemes as a single phoneme have no meaning, but their union forms the meaning of the word.

Purpose: Since the phonemes in the Albanian language, both vowels and consonants, have contradictions with each other, manage to bring words that have the same etymology but can change during writing. For example, in Gheg dialect – baj; hanë, while in Tosk dialect – bëj; hënë, etc. Therefore, the aim of this chapter is to highlight the characteristics of the phonemes of the Albanian language, accordingly the use of phonetic and dialectal elements in the Balkans, before and at present, since these may have implications for economic and industrial strategies.

Need for the study: The Albanian language has a rich vocabulary with standard speech, but its dialects have more words than standard speech. Each dialectal change has required study to see the cause of the change in these phonemes, vowels and consonants.

Methodology: The chapter is focussed on the descriptive method of research. Therefore, the comparison of research approaches has been considered. A quantitative deductive method has been applied for data analyses.

Findings: The results reveal that some of the phonemes undergo changes over time spam. The changes occur in the two dialects of Albania, Gheg and Tosk.

Four Albanian vowels, the phonemes /a/, /e/, /i/ and /u/, come directly from vowels inherited from the Indo-European period; the vowel /o/ is formed by the evolution of long vowels; while the vowels /y/ and /ë/ were found from other vowels in the internal developments of the Albanian language. Whereas nasal vowels were also formed later as internal developments of the language.

Practical implications: The study is important for language researchers and affects the appearance of elements from the field of dialectology and phonetics.

Gender equality and women empowerment which are part of the United Nations Sustainable Development goals have attracted researchers and policymakers worldwide. Various programmes and interventions aiming at empowerment have been designed and implemented by both national and international agencies. One of the flagship programmes of NABARD introduced in the year 1992, the self-help group (SHG)–bank linkage model is also known for its impact on the availability of credit and empowerment of women. Later, the SGSY scheme was restructured into the National Rural Livelihood Mission (NRLM) in the year 2013. Initially, SHGs focussed on savings and credit linkage, but now the emphasis has been changed to generate livelihoods and economically empowering women on a sustainable basis through training women to establish micro-enterprises. In this facet, the journey of microfinance in empowering women is systematically analyzed. The state of Haryana has consistently outperformed other states in terms of economic and agricultural growth but it ranks poorly in terms of its key human development indicators. Despite high productivity and low poverty, the state faces challenges related to the health and nutrition of children. Literature provides evidence that the health and nutrition status of children and women is closely linked to women empowerment. Using secondary sources of data, we conclude that micro-finance can be a useful tool for empowering women provided the roadblocks are identified and the requisite support is provided to women entrepreneurs.

Purpose: The purpose of this chapter is to determine the impact of technological inequalities on the way of building a socially oriented market digital economy. Also, it considers the problems of social entrepreneurship: the natural essence, as well as the sources and forms of manifestation of conflicts. The main models of social entrepreneurship are identified, as well as the causes of conflicts.

Design/Methodology/Approach: Statistical and regression analyses are used as research methods.

Originality/Value: It is proved that the development features of the digital economy at the present stage largely depend on the degree of technological inequalities of countries.

The paper aims to examine the effect of CEOs' social networks on capital structure complexity (CSC) and firm performance.

Ordinary Least Squares regression (OLS) and Generalized method of moments (GMM) regression results estimate the effect of CEOs' (Chief executive officer) social networks on capital structure complexity and firm performance. The number of sources of capital (NSC) and concentration ratio estimate the capital structure complexity for the sample firms.

The results show that CEOs' social networks significantly influence CSC. We suggest that the CEOs' social networks encourage them to make more complex capital structure decisions. This behavior deteriorates firm performance.

There is a lack of systematic conceptual reason for measuring CEO social network. Future research should use other measures of the social network to estimate the relation of the CEO's social network with CSC and firm performance.

The findings support the managerial power approach and social network theory that the observable characteristics of CEOs influence CSC. The results are robust for an alternative explanation.

By investigating the impact of the influence of CEOs' social networks on CSC and performance, the authors extend research on strategic leadership and capital structure and firm performance.

The purpose of this paper is to introduce the factor of emotional intelligence (EI) into the calculus of neoclassical analysis under precautionary saving aiming at stabilizing consumption in the case of an exogenous output shock.

The introduction of EI differentiates individual firms in handling production uncertainty and individual consumers in coping with consumption uncertainty, but the source of uncertainty is exogenous and affects all the same; there are no idiosyncratic risks and uncertainties. This in conjunction with the median-voter-theory like approach to agent heterogeneity prompted by EI, replicates the result that aggregates quantitative predictions are almost indistinguishable from their representative agent counterpart in life cycle models of precautionary saving.

EI corroborates stabilization greatly but only the introduction of a monetary authority would fully stabilize the system by injecting or withdrawing money depending on the state of the economy. Money becomes centrally issued and it would be destabilizing if it was accompanied by central and/or commercial bank seigniorage. Median EI is found to coincide with homo economicus' rationality. These results point to the importance of preserving the institutional character of capitalism as a free enterprise but also a competitive system under a government in the service of the private sector.

Methodologically, this paper acknowledges the mutual interdependence between human action and social structure in the liberal setting in which free enterprise is a socioeconomic process that identifies value through exchange under the sociopolitical process of democracy.

This study aims to measure the occurrence of gentrification and to relate gentrification with housing values.

The authors have used Getis-Ord statistics to identify and quantify gentrification in different residential areas in a case study of Stockholm, Sweden. Gentrification will be measured in two dimensions, namely, income and population. In step two, this measure is included in a traditional hedonic pricing model where the intention is to explain future housing prices.

The results indicate that the parameter estimate is statistically significant, suggesting that gentrification contributes to higher housing values in gentrified areas and near gentrified neighbourhoods. This latter possible spillover effect of house prices due to gentrification by income and population was similar in both the hedonic price and treatment effect models. According to the hedonic price model, proximity to the gentrified area increases housing value by around 6%–8%. The spillover effect on price distribution seems to be consistent and stable in gentrified areas.

A few studies estimate the effect of gentrification on property values. Those studies focussed on analysing the impacts of gentrification in higher rents and increasing house prices within the gentrifying areas, not gentrification on property prices in neighbouring areas. Hence, one of the paper’s contributions is to bridge the gap in previous studies by measuring gentrification’s impact on neighbouring housing prices.