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Understanding the linkages between poverty and inequality is vital to any sustainable development and poverty reduction strategies. In Ghana, while poverty has reduced significantly over the years, inequality has increased. The purpose of this paper is to examine the linkages between inequality in household expenditure components and overall inequality and poverty in Ghana.

Using microdata from the sixth round of the Ghana Living Standards Survey (GLSS 6) conducted in 2012/2013, marginal effects and elasticities were computed for both within- and between-component analysis.

The results suggest that, in general, reducing within-component inequality significantly reduces overall poverty and inequality in Ghana, compared with between-component inequality. Specifically, inequality in education and health expenditure components were the largest contributors to overall poverty and inequality. The findings imply that policies directed toward reducing within-component inequality will be more effective. Specifically, the findings of the study corroborate recent policies on education and health in Ghana aimed at inequality within these components. Sustaining and scaling up these policies will be a step in the right direction.

The study contributes to existing studies in several ways: first, this study becomes the first attempt to examine inequality-poverty nexus using household expenditure components in Ghana. Second, the use of expenditure in place of income is an addition to the literature. Income is usually subject to reporting biases and is minimal in expenditure. Finally, the findings highlight the need for poverty reduction strategies to focus on specific household components including education and health. Blanket interventions may not be effective in reducing inequality and poverty.

This paper presents a university service-learning program as an innovative model of assistance to deliver business development services to Mexican microenterprises.

The main objectives were to deliver business development services in situ at no cost to unprivileged enterprises, conduct research on microenterprises development and build up a service-learning model of teaching and learning for students in the field of economics and surrounding disciplines. It was implemented by the Autonomous University of Baja California. It plays an important role in providing real cases and concepts on business, economics, markets and fiscal regulations. The service-learning approach prepare to students to be generous, selfless, problem solvers and job creators.

The experience demonstrates that program can play a key role, both in supporting disadvantaged microenterprises and in providing meaningful learning experiences to students. The program has shown its ability to take advantage of institutional, human and financial resources already released to higher educations institutions (HEI) and government, to support social business extensively, as to make less critical the use of resources in the form of subsidies.

This program was employed by the Mexican State Government of Baja California as a compensatory public policy against the unemployment burden created by the global crisis between 2009 and 2013. About ten thousand individuals pushed to necessity-driven entrepreneurship or informal social enterprises were assisted, trained and formalized in the tax authority by 700 university senior students.

The purpose of this paper is to indicate an innovative solution to address the financing issues faced by “Micro-, Small and Medium Enterprises” (MSME) in emerging economies.

Islamic Financial Institutions (IFIs) especially Islamic banks are competing for high net worth individuals, whereas the MSME sector is largely untapped. A collaborative model for IFIs is suggested, to explore the MSME sector. Islamic Non-Banking Financial Institutions (NBFIs) are operating in these markets through their extensive gross route networks. The multistep collaborative model proposes “Special Purpose Entity (SPE)” partially owned by a single Islamic Bank or consortium and NBFI/s. SPEs can be incorporated with a defined scope, focus areas, risk profile, budget and shareholding patterns.

Risk and profit sharing instruments also known as Musharakah and Mudarabah have less than 6 percent share within total financing offered by Islamic banks globally. Risk sharing products offered by Islamic banks are not targeting this sector due to the underdevelopment of instruments, lack of knowledge and resources. Proposed SPEs can operate regionally with a concentration on specific business sectors.

The SPE model would enable Islamic banks to enter the huge MSME market while mitigating risk. On the contrary, it would enable the large segments of emerging economies (bottom 40 percent population of developing nations) to get involved and actively play their role to attain long-term development goals.

The purpose of the paper is to model and develop recommendations for regulating the development of social market economy under the influence of noneconomic factors.

The authors determine the existing examples of social market economies, in which quality of life clearly correlates with economic growth – and the research objects are thus determined. Then, the list of noneconomic factors, which could be quantitatively characterized based on the official statistics, is formed. The econometric model of dependence of the rate of economic growth of the selected noneconomic factors is created, and it is determined at which combination of these factors' influence it is possible to reach the target rate of economic growth of social market economy. Data are processed automatically by compiling the descriptive statistics and conducting regression analysis within the method of imitation modeling and multiparametric nonlinear optimization.

It is shown that, unlike the classical market economy (pure capitalism), in which economic factors dominate, social market economy (mixture of capitalism and socialism) is also influenced by noneconomic factors. This changes the view on economic growth as one of the most significant processes in the economic practice and one of the key research objects in economics. It is substantiated that there's a necessity not for micro- (as in the classical market economy) but for macroeconomic view on economic growth through the prism of factors that are external to entrepreneurship.

The results of imitation modeling allowed reducing the uncertainty and reflecting the specifics of economic growth of social market economy. The compiled model of multiple linear regression allowed narrowing down the circle and outlining four main noneconomic factors of economic growth of social market economy. The authors' recommendations for regulation of these factors are offered, and a mechanism of regulation of development of social market economy based on noneconomic factors management is offered.

Libraries need to develop information processing systems for evaluation, budgeting, planning, and operations. Electronic spreadsheets lend themselves to a variety of applications, but are time‐consuming to create. A model template and macros that can be used in many different types of library data analysis have been developed here. The procedures demonstrated here can build an essential set of tools for meeting fundamental goals of administrative efficiency, effective use of library resources, staff motivation, and rational policy making.

The purpose of the paper is to study the problem of socio-economic inequality from the positions of the neo-institutional economic theory, to determine the causal connections of emergence and manifestation of this problem as a barrier on the path of sustainable development and to develop institutional measures for its solution based on state regulation.

The scientific and methodological basis of this research is based on regression analysis, which is used for creating and analyzing the regression curves. For the fullest coverage of countries of the world and provision of high representation of the research results, the objects of the research are countries from each category that were distinguished according to their position in the global rating of countries as to the index of sustainable development, calculated and compiled by Sustainable Development Solutions Network (2019).

It is substantiated that financial inequality is a result of violation of the principles of social justice—primarily, in the labor market. The institutional approach, which is used for studying the problem of socio-economic inequality, allows presenting this problem as a result of the action of social institutes with own system of rules and norms and offering the institutional measures of regulation, which are to influence the rules and norms in society in the labor market. Due to this, the object of regulation is not the consequence but the reasons—and better and long-term results are achieved.

It is proved that social justice is the key condition of overcoming socio-economic inequality, formation of inclusive society and achievement of balance of the global economic system—thus opening a path to sustainable development. Four “institutional traps” are determined, which establish the practices of violation of the principles of social justice in the system of norms and rules of behavior of the labor market's participants. The authors determine perspectives and directions and offer measures of state regulation of the institutes of socio-economic inequality for its overcoming and provision of sustainable development of national economy and the global economy.

The Covid-19 pandemic appears to have engendered heterogeneous effects on individuals’ labour market prospects. This paper focuses on two possible sources of a heterogeneous exposition to labour market risks associated with the pandemic outbreak: the routine task content of the job and the teleworkability. To evaluate whether these dimensions played a crucial role in amplifying employment and wage gaps among workers, we focus on the case of Italy, the first EU country hit by Covid-19.

Investigating the actual effect of the pandemic on workers employed in jobs with a different degree of teleworkability and routinization, using real microdata, is currently unfeasible. This is because longitudinal datasets collecting annual earnings and the detailed information about occupations needed to capture a job’s routine task content and teleworkability are not presently available. To simulate changes in the wage distribution for the year 2020, we have employed a static microsimulation model. This model is built on data from the Statistics on Income and Living Conditions (IT-SILC) survey, which has been enriched with administrative data and aligned with monthly observed labour market dynamics by industries and regions.

We measure the degree of job teleworkability and routinization with the teleworkability index (TWA) built by Sostero et al. (2020) and the routine-task-intensity index (RTI) developed by Cirillo et al. (2021), respectively. We find that RTI and TWA are negatively and positively associated with wages, respectively, and they are correlated with higher (respectively lower) risks of a large labour income drop due to the pandemic. Our evidence suggests that labour market risks related to the pandemic – and the associated new types of earnings inequality that may derive – are shaped by various factors (including TWA and RTI) instead of by a single dimension. However, differences in income drop risks for workers in jobs with varying degrees of teleworkability and routinization largely reduce when income support measures are considered, thus suggesting that the redistributive effect of the emergency measures implemented by the Italian government was rather effective.

No studies have so far investigated the effect of the pandemic on workers employed in jobs with a different degree of routinization and teleworkability in Italy. We thus investigate whether income drop risks in Italy in 2020 – before and after income support measures – differed among workers whose jobs are characterized by a different degree of RTI and TWA.

Job Corps is the United State’s largest and most comprehensive training program for disadvantaged youth aged 16–24 years old. A randomized social experiment concluded that, on average, individuals benefited from the program in the form of higher weekly earnings and employment prospects. At the same time, “young adults” (ages 20–24) realized much higher impacts relative to “adolescents” (ages 16–19). Employing recent nonparametric bounds for causal mediation, we investigate whether these two groups’ disparate effects correspond to them benefiting differentially from distinct aspects of Job Corps, with a particular focus on the attainment of a degree (GED, high school, or vocational). We find that, for young adults, the part of the total effect of Job Corps on earnings (employment) that is due to attaining a degree within the program is at most 41% (32%) of the total effect, whereas for adolescents that part can account for up to 87% (100%) of the total effect. We also find evidence that the magnitude of the part of the effect of Job Corps on the outcomes that works through components of Job Corps other than degree attainment (e.g., social skills, job placement, residential services) is likely higher for young adults than for adolescents. That those other components likely play a more important role for young adults has policy implications for more effectively servicing participants. More generally, our results illustrate how researchers can learn about particular mechanisms of an intervention.

This paper looks at the changes in the time allocation of welfare recipients in the United States following the 1996 welfare reform and other changes in their economic environment. Time use is a major determinant of well-being, and for policymakers to understand the broad influences that their policies can have on a population they ought to consider changes in all activities, not simply paid work. While an increase in market work of the welfare population has been well documented, little is known on the evolution of the balance of their time. Using the Current Population Survey to model the propensity to receive welfare, together with a multiple imputation procedure, I replicate previous difference-in-differences estimates that found an increase in child care and a decline in nonmarket work. However when additional data sources are used, I find that time spent providing child care does not increase. This is especially relevant as welfare recipients are overwhelmingly poor single mothers and the welfare reform increased time at work with ambiguous effects on time spent with children. I also find that time at work follows business cycles, with dramatic increases in work time throughout the strong economy of the late 1990s, accompanied by less time in leisure activities.

We analyse the dynamics of social assistance benefit (SA) receipt among working-age adults in Britain between 1991 and 2005. The decline in the annual SA receipt rate was driven by a decline in the SA entry rate rather than by the SA exit rate (which also declined). We examine the determinants of these trends using a multivariate dynamic random effects probit model of SA receipt probabilities applied to British Household Panel Survey data. We show how the model may be used to derive year-by-year predictions of aggregate SA entry, exit and receipt rates. The analysis highlights the importance of the decline in the unemployment rate over the period and other changes in the socio-economic environment including two reforms to the income maintenance system in the 1990s and also illustrates the effects of self-selection (‘creaming’) on observed and unobserved characteristics.