Characterizing Wealth Inequality in Cryptocurrencies

Cryptocurrencies often tend to maintain a publically accessible ledger of all transactions. This open nature of the transactional ledger allows us to gain macroeconomic insight into the USD 1 Trillion crypto economy. In this paper, we explore the free market-based economy of eight major cryptocurrencies: Bitcoin, Ethereum, Bitcoin Cash, Dash, Litecoin, ZCash, Dogecoin, and Ethereum Classic. We specifically focus on the aspect of wealth distribution within these cryptocurrencies as understanding wealth concentration allows us to highlight potential information security implications associated with wealth concentration. We also draw a parallel between the crypto economies and real-world economies. To adequately address these two points, we devise a generic econometric analysis schema for cryptocurrencies. Through this schema, we report on two primary econometric measures: Gini value and Nakamoto Index which report on wealth inequality and 51% wealth concentration respectively. Our analysis reports that, despite the heavy emphasis on decentralization in cryptocurrencies, the wealth distribution remains in-line with the real-world economies, with the exception of Dash. We also report that 3 of the observed cryptocurrencies (Dogecoin, ZCash, and Ethereum Classic) violate the honest majority assumption with less than 100 participants controlling over 51% wealth in the ecosystem, potentially indicating a security threat. This suggests that the free-market fundamentalism doctrine may be inadequate in countering wealth inequality within a crypto-economic context: Algorithmically driven free-market implementation of these cryptocurrencies may eventually lead to wealth inequality similar to those observed in real-world economies.

Family ownership and cooperative R&D: the moderating effect of political ties

Purpose This study aims to investigate the impact of family ownership on cooperative research and development (R&D). Drawing on the ability and willingness paradox framework in family business research, the authors suggest that family ownership influences cooperative R&D via two opposing mechanisms: power concentration and wealth concentration. It also deepens the current understanding of the boundary conditions of informal institutions for the impact of family ownership on cooperative R&D by investigating the moderating role of political ties. Design/methodology/approach The authors analyze a panel of 610 Chinese manufacturing family firms and 2,127 firm-year observations from 2009 to 2017. Fixed effects regression analysis is used to test the hypotheses, with the two-stage Heckman model to address sample selection bias. Findings The research findings indicate that family ownership has an inverted U-shaped relationship with cooperative R&D and political ties moderate the relationship in such a way that the inverted U-shaped relationship will be steeper in firms with more political ties than in firms with fewer political ties. Practical implications Family ownership influences firms’ cooperative R&D through the positive effect of power concentration and the negative effect of wealth concentration. Family owners should, therefore, take advantage of concentrated power, for instance, by adapting quickly and committing sufficient resources to cooperative R&D opportunities, while controlling path-dependent relationship development caused by concentrated family wealth. The effect of political ties on the relationship between family ownership and cooperative R&D is found to be a double-edged sword. Originality/value This study extends the ability and willingness paradox framework and provides novel insights into cooperative R&D in family businesses by integrating power concentration and wealth concentration associated with family ownership. Moreover, this study provides a contingency perspective and introduces the moderating role of political ties in shaping cooperative R&D in family firms.

Social welfare and bank performance: evidence from a stochastic neural hybrid MCDM approach

PurposeThis paper investigates the endogenous relationships between banking performance and social welfare in Southern African Development Community (SADC) countries.Design/methodology/approachA comprehensive three-stage multi-criteria decision-making (MCDM) approach based on alternative informational assumptions is applied.FindingsResults indicate that banking performance is paradoxically associated with stagnant economic activity and higher wealth concentration for the minority. The authors found that SADC banking performance promotes higher Human Development Index (HDI) standards possibly via efficient financial intermediation, dissemination of best managerial practices and other forms of positive spillovers in these countries.Originality/valueThis paper contributes to the MCDM literature by simultaneously exploring the key concepts of “utility functions” (using COPRAS) and “distance to ideal solutions” (using TOPSIS) in mapping and explaining the feedback and cause-effect processes between banking performance and social welfare that may exist. Another distinctive aspect is related to the computation of bias-free criteria weights, using a robust SWARA order-rank based on information entropy. Finally, this paper is concerning the endogeneity measurement, using a novel stochastic structural relationship non-linear programme.

A Wealth of Information: Augmenting the Survey of Consumer Finances to Characterize the Full U.S. Wealth Distribution

We use the Survey of Consumer Finances (SCF) to advance U.S. wealth analysis along several dimensions. We develop a comprehensive framework that modifies the SCF to recover the wealth distribution over families, tax units, and individuals from 1989 to 2019. We show that, by ignoring unequal holdings within families, existing estimates considerably understate U.S. inequality across individuals. We find wealth concentration rose through the recent economic recovery, which differs from leading models that capitalize income into wealth even after aligning conceptual differences. We illustrate that private businesses are a growing impediment to accurately modeling wealth from income.

Financial Inclusion and the Goal of Distributive Justice in Islamic Economics

The unprecedented level of income inequality and wealth concentration throughout the world today has pose a foremost challenge in the efforts towards realising inclusive and sustainable development. One of the means to achieve this 2030 Agenda that has been strongly promoted by the international community is through the concept of financial inclusion. The dimensions of financial inclusion, which include access, usage and quality of financial services for all have been demonstrated to have positive impacts on increasing the ability of the poor and underprivileged groups to improve their economic well-being. Additionally, the literature has also identified two additional financial inclusion features of Islamic finance namely risk-sharing and redistribution, which can further contribute to the goal of distributive justice as aspired in Islamic economics. Nevertheless, despite the numerous works on financial inclusion and distributive justice in the literature of Islamic economics and finance, a specific framework to link financial inclusion with the goal of distributive justice is still absent in the literature. Therefore, the objective of this paper is to conceptualize a framework that links the dimensions of financial inclusion with the three phases of realising distributive justice, i.e. pre-production, post-production, and redistribution. This conceptual framework provides the necessary theoretical foundation and operational guideline for the promotion of financial inclusion as part of the efforts towards realising the goal of distributive justice in Islamic economics.

Representative Democracy in an Age of Inequality

New Zealand’s system of government is vulnerable to undue influence and distortion by private wealth. Our legal framework contains no limits on domestic political donations (including donations from corporations and lobbyists), weak disclosure standards for political financing, no political expenditure limits outside the election period, insufficient regulations on lobbying and the revolving door between public and private employment, and few meaningful regulations on conflicts of interest. Given the nation’s high level of wealth concentration, these vulnerabilities pose a critical threat. Comprehensive electoral reforms are required to prevent economic inequality from becoming politically entrenched and representative democracy from being undermined.

The Concentration of Personal Wealth in Italy 1995–2016

Italy is one the countries with the highest wealth-to-income ratio in the developed world. Yet, despite the growing policy interest, knowledge about the size distribution of wealth is currently limited. In this paper we expand our windows of observation on the distribution of personal wealth using a novel source on the full record of inheritance tax files. The data cover up to 63% of the deceased population and are available between 1995 and 2016, a period of substantial economic turbulence and structural reform for the Italian economy. Our benchmark results rely on the distribution of the net wealth observed in the National Accounts balance sheets. Unlike available statistics estimated from household survey data, our results point to a strong rise in wealth concentration and inequality since the mid-1990s. Whereas the level of wealth concentration in Italy is in line with those of other European countries, its time trend appears more in line with the U.S. experience. Moreover, Italy stands out as one of the countries with the strongest decline in the wealth share of the bottom 50% of the adult population. We explore the role of household wealth portfolios, accumulation patterns during the life cycle, and inheritance flows, its concentration, and taxation patterns as main drivers of the trends observed. A range of alternative series of wealth concentration helps us better understand the role of adjustments and imputations and is based on a multi-series approach, i.e., comparing the pieces of information given by different and competing sources. (Stone Center on Socio-Economic Inequality Working Paper)