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Scholarship on America’s K-12 economics curriculum reveals an inattention to many harmful economic realities, specifically wealth inequality. Critics of the present curriculum posit that its emphasis on out-dated concepts and models ignores crucial elements of reality that impact economic interaction and identities. In response to the dominant economic paradigm and methods, this practitioner-focused paper discusses an economically pluralist, pedagogically critical approach to interrogating destructive economic realities. It details how three social studies classroom simulations based on the board game Monopoly may be integrated with certain informational texts to explore economic factors that contribute to America’s unique form of wealth inequality.

This paper describes wealth inequality in America and rationalizes the need to make this social problem a focus of study in the secondary social studies classroom. First, I survey the present curricular apparatus of K-12 economics education and then argue for a pluralist approach that expands the curriculum’s dominant neoclassical paradigm. Connecting economic pluralism to critical citizen education, I draw upon emerging critical economic citizen education scholarship to explain attendant pedagogical and instructional approaches. The described lesson builds upon a tradition of Monopoly simulations, is rooted in critical citizen education pedagogy and aligns with Soroko’s (2023) critical economic literacy framework.

This paper progresses the curricular movement of economic pluralism through its critique of America’s current K-12 economics curriculum that does not focus on immediate, lived social problems. It further defines critical economics, citizenship and pedagogy, then details an instructional practice that employs critical disciplinary tools to investigate contributing factors of American wealth inequality.

This paper contributes to the growing field of pluralist economic perspectives and pedagogies. Specifically, it enriches understanding of critical economics citizenship education by further defining attendant pedagogy and explaining Monopoly as an instructional tool for critical economics citizen education. Previous works have discussed Monopoly’s utility for teaching various concepts within the social studies disciplines. This simulation lesson is unique in its instructional approach that merges simulation experiences with certain informational texts to cultivate critical economic knowledge of American wealth inequality and critical economic skills for critiquing and transforming oppressive economic realities.

This study examines the effect of digitalization on poverty and income inequality in developing countries. The study answers the question of whether digitalization is a way for developing countries to get out of poverty and income inequality.

The study uses data from 17 developing countries with data from 2005 to 2021. The study employs fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS), with an augmented mean group (AMG) for robustness. Digitalization, as the variable of interest, is proxied by the digitalization index (DI), constructed using principal component analysis (PCA). The dependent variables are poverty and income inequality, which are used in different models.

The evidence indicates that digitalization decreases poverty and income inequality in developing countries. These findings are justified when we use the AMG estimator, but the strength of the coefficients and significance levels are higher in the FMOLS and DOLS estimators. The results of the control variables also show that human development (LHDI), CO2 emissions and foreign direct investment (FDI) have decreasing effects on poverty and income inequality. Thus, digitalization is a good option for developing countries to get out of poverty and income inequality to achieve sustainable development goals (1&10).

This study provides rigorous empirical evidence on the effect of digitalization on poverty and income inequality in developing countries. Unlike the previous studies on developing countries, this study used a DI to proxy digitalization. In addition, the authors use FMOLS and DOLS estimators, with an AMG estimator for robustness, to provide long-run coefficients.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0586

This study aims to develop an entrepreneurial business model capable of addressing and preventing the exploitation and inequality that traditionally have resulted from entrepreneurship, particularly in emerging economies.

The research uses systems thinking, the first law of cybernetics, and the principles of harmony to formulate a systemic solution to the problem, which it exemplifies via six purposefully selected short cases drawn from diverse industry sectors and economies.

This paper demonstrates how the conventional model of entrepreneurship, often associated with colonial exploitation and resultant inequalities, can be transformed into a triple bottom line model—harmonious entrepreneurship – that integrates the traditional economic, eco-, humane, and social approaches and creates a synergy where profit, planet, and people are in harmony. The model challenges the profit maximisation/shareholder value doctrine of business success.

Only six cases are presented here, and there is a need for further research in different political-economic contexts and industry sectors. Also, the way entrepreneurship is taught needs to change so that it addresses the sustainability challenge in general and the problem of inequality in particular.

There needs to be a change in the entrepreneurial mindset and the way entrepreneurship is taught and potential entrepreneurs are trained if entrepreneurship is to address the sustainability challenge in general and the problem of inequality in particular.

This is a novel approach to the study of entrepreneurship and its impact on inequality that shows how it can ameliorate and/or prevent inequality, particularly in emerging economies, by adopting a more holistic approach to business success and supplanting “having and needing” with “being and caring”.

Limited research exists on the role of information access as a key success factor for rural entrepreneurs. The purpose of this study is to examine the importance of information access, among other inequality forms, in shaping entrepreneurial outcomes.

The authors used a qualitative, inductive research methodology. They conducted interviews with rural entrepreneurs and gained insights into the role of information access and basic tangible resources in shaping their ventures.

The authors identified two critical factors that impact rural entrepreneurs: inequalities in access to information and basic tangible resources. They found that inequalities in rural entrepreneurship are often interrelated, rather than isolated. The authors demonstrated that the relationship between entrepreneurship and inequality is not solely characterized by a positive or negative correlation but is a dynamic interplay where certain inequality forms may create barriers to opportunities for some individuals while creating opportunities for others.

The authors uncovered key barriers in rural entrepreneurship and constructed a roadmap to effectively address these challenges, providing valuable insights to policymakers and support initiatives and enabling the target of high-impact resources. This research supports efforts to provide rural entrepreneurs with equal opportunities to grow and succeed.

This research significantly contributes to the field by examining the complexities of entrepreneurship in emerging economies, with a particular focus on rural areas. The authors introduced a comprehensive conceptual model linking inequality and entrepreneurship, explored the challenges faced by rural entrepreneurs and offered strategic policy recommendations for development initiatives.

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.

Issues related to economic development and growth are oft discussed to illustrate the health of a nation. However, such development is constrained by the inequality parameter of the representative society. Again, economic fluctuations arising from several crises may hinder the representative nation from getting on a smooth path to development. Now, augmentation of crises along with the presence of inequality may trigger economic vulnerabilities, leading to unsustainable economic development. Against this backdrop, we initially frame a theoretical model to capture the above-mentioned issues and try to derive plausible economic interpretations for the same. To verify the same in a more robust manner, we consider a panel of 30 developing countries from Africa, spanning the time period 1980–2020. Both the health status and the education status of our panel of countries are used to explore the sustainability issue in the presence of income inequality. All data have been collected from the World Development Indicators (WDI) and Standardized World Income Inequality Database (SWIID) (Table 21.1

Variables Description.

Personal remittance and ready-made garments (RMG) export incomes have emerged as the largest source of foreign income for Bangladesh's economy. The study investigates their impact on income inequality and gross domestic product (GDP) as a control variable, using time-series yearly data from 1983 to 2018.

It employs the Autoregressive Distributed Lag (ARDL) estimation and the Toda-Yamamoto (T-Y) causality approach. The ARDL estimation outcomes confirm a long-run association among the above variables and validate the autoregressive characteristic of the model.

Personal remittances positively contribute to reducing the income gap among the people of the society and declining income inequality. In contrast, RMG export income and economic growth contribute to further income inequality. The T-Y causality analysis follows the ARDL estimation outcomes and authenticates their robustness. It reveals a feedback relationship between remittance inflow and the Gini coefficient, unidirectional causalities from RMG export income to income inequality and economic growth to income inequality.

The finding has important policy implications to limit the income gaps between low and high-income groups by channeling incremental income to the lower-income group people. The policymakers may facilitate further international migration to attract further remittances and may upgrade the minimum wage of the RMG workers.

The study is original. As far as the authors' knowledge goes, this is a maiden attempt to investigate the impact of personal remittances and RMG export income on income disparity in the case of Bangladesh.

The purpose of this study was to develop a scale that can be used to assess inequality at work based on gender, age and ethnicity that is grounded in Acker’s (2006) inequality regimes.

The authors used three representative samples (total N = 1,806) of Swedish teachers, nurses and social workers to develop and validate the scale. The validation process included the assessment of content validity, confirmatory factor analysis for factorial validity, internal consistency and associations with theoretically warranted outcomes and related constructs to assess criterion-related validity and convergent validity.

The authors found evidence supporting the content, factorial, criterion-related and convergent validity of the InEquality in organisations Scale (InE-S). Furthermore, the scale demonstrated high internal consistency.

The newly developed scale InE-S may be used to further the understanding of how inequality at work influences employees. This study makes a contribution to the current literature by providing a scale that, for the first time, can test Acker’s hypotheses using quantitative methods to demonstrate the consequences of inequality at work.

This study examines the non-linear impact of financial development on income inequality and analyses the mediators through which financial development affects income inequality.

The study uses a dynamic panel threshold method with an endogeneous threshold variable on a comprehensive sample of 85 countries over the period of 1996-2015.

The author finds that financial development activities increase income inequality in developed countries. However, financial development promotes income equality in developing countries. Further, the study finds that education and institutional quality are the channels through which financial development has non-linear impacts on income inequality.

The study explores relatively new method to examine the nonlinear impact of financial development and also considers new dataset for the main explanatory variable.