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The high and persistent level of income inequality limits the opportunities for economic growth and contributes to the persistence of a high poverty rate in Russia. Reducing inequality is integral to achieving the Sustainable Development Goals (SDG-10); thus, greater focus is needed to reduce income inequality. We assess income inequality based on a representative income and expenditure data collected at the micro level to determine the risk of increasing inequality and poverty in the context of specific socio-demographic groups and income sources. We look at the contribution of various household income sources to total income inequality, taking into account the differences in the weighting of income components, the unevenness of their distribution, and their correlation with the total distribution of income. The main data source is the project “The Russia Longitudinal Monitoring Survey-Higher School of Economics” (RLMS-HSE) for 2000–2018. Calculation of the elasticity of the Gini index by sources of total income for poor and non-poor households revealed their multidirectional impact on overall inequality. We show that social transfers in poor households do not help to reduce inequality. This indicates the need for closer attention to this phenomenon when making policy decisions connected with social policy. Moreover, the “hidden incomes” appear to be a factor reducing inequality for poor households within the framework of the accepted definitions and the formed sample of households.

In recent years, the development of China’s state-owned companies (SOEs) has slowed dramatically due to the improvement of the government–enterprise relationship and maturity in the market system. To accomplish the market-oriented transformation of the management model and promote sustainable development, some SOEs have incorporated private capital to conduct mixed-ownership reforms. Nonetheless, the emergence of heterogeneous shareholder conflicts seriously hampers the transformation of businesses. This paper proposed a two-party evolutionary game model between state-owned and private shareholders in the management transformation of mixed-ownership companies. Based on the proposed model, the evolutionary stability of heterogeneous shareholders’ action strategies was analyzed to obtain the evolutionary stability strategies for the system. The crucial factors of the ideal equilibrium strategies are studied at the same time. The analysis results show that the probability of “change” in private shareholders is positively proportional to factors such as the success rate of change, change dividend, control gain, and policy burden, and it is inversely proportional to the factors including the cost of change, contractual cost of private shareholders, the additional cost of change, hidden income, state-owned shareholders’ shareholding ratio, and loss of change failure. Finally, the findings of this study provide a theoretical foundation for the transition of mixed-ownership enterprises’ management systems.

We employ unique administrative data from Moscow to obtain a direct estimate of hidden incomes. Our approach is based on comparing employer-reported earnings to market values of cars owned by the corresponding individuals and their households. We detect few hidden earnings in most foreign-owned firms and larger firms, especially state-owned enterprises in heavily regulated industries. The same empirical strategy indicates that up to 80 percent of earnings of car owners in the private sector are hidden, especially in smaller companies and industries such as trade and services, where cash flows are easier to manipulate. We also find considerable hidden earnings in government services. Our approach sheds new light on the decline in the gross domestic product (GDP) in Russia after the collapse of communism and subsequent recovery; in particular, we argue that a good deal of these changes might represent changes in income reporting rather than actual changes in GDP.

Personal income tax is a commonly used redistributive instrument to deal with inequality. Whether it achieves that efficacy requires an appropriate measurement. This paper aims to examine the redistributive effects of personal income tax (PIT) based on the generalized entropy indexes. Compared with the commonly used approach based on the Gini coefficient, the generalized entropy indexes are more sensitive to the structural features of the redistributive effects and can lead to more reliable evaluation about the redistributive policy adjustments. Based on this new approach, we assess the redistributive effects of the 2011 PIT adjustment in China by using the urban household survey data. Different from previous studies, our results show that the 2011 PIT adjustment has effectively reduced the inequality within high income group, and if hidden income is taken into consideration, the overall inequality reduction resulted from the tax adjustment turns out to be positive. This finding highlights the importance of judging the redistributive effects of PIT on the basis of right household income data and that China should pay more attention to the hidden income in designing the redistributive tax rules.

Estimating the size of stigmatized, hidden, or hard-to-reach populations is a major problem in epidemiology, demography, and public health research. Capture-recapture and multiplier methods are standard tools for inference of hidden population sizes, but they require random sampling of target population members, which is rarely possible. Respondent-driven sampling (RDS) is a survey method for hidden populations that relies on social link tracing. The RDS recruitment process is designed to spread through the social network connecting members of the target population. In this article, we show how to use network data revealed by RDS to estimate hidden population size. The key insight is that the recruitment chain, timing of recruitments, and network degrees of recruited subjects provide information about the number of individuals belonging to the target population who are not yet in the sample. We use a computationally efficient Bayesian method to integrate over the missing edges in the subgraph of recruited individuals. We validate the method using simulated data and apply the technique to estimate the number of people who inject drugs in St. Petersburg, Russia. Supplementary materials for this article are available online.

We identify a competition-policy-based argument for regulating the secondary features of complex or complexly priced products when consumers have limited attention. Limited attention implies that consumers can only “study” a small number of complex products in full, while—by failing to check secondary features—they can superficially “browse” more. Interventions limiting ex post consumer harm through safety regulations, caps on certain fees, or other methods induce consumers to do more or more meaningful browsing, enhancing competition. We show that for a pro-competitive effect to obtain, the regulation must apply to the secondary features, and not to the total price or value of the product. As an auxiliary positive prediction, we establish that because low-value consumers are often more likely to study—and therefore less likely to browse—than high-value consumers, the average price consumers pay can be increasing in the share of low-value consumers. We discuss applications of our insights to healthinsurance choice, the European Union’s principle on unfair contract terms, food safety in developing countries, and the shopping behaviour of (and prices paid by) low-income and high-income consumers.

‘Hidden hunger’ is a term used to describe human deficiencies of key vitamins and minerals, also known as micronutrients. While global in scale, the prevalence of micronutrient deficiencies is particularly high in South Asia despite recent successes in economic growth, agricultural output and health care. The present paper reviews the most recent evidence on patterns and trends of hidden hunger across the region, with a focus on the most significant deficiencies – iodine, Fe, vitamin A and Zn – and interprets these in terms of health and economic consequences. The challenge for South Asian policy makers is to invest in actions that can cost-effectively resolve chronic nutrient gaps facing millions of households. Appropriate solutions are available today, so governments should build on evidence-based successes that combine targeted health system delivery of quality services with carefully designed multisector actions that help promote healthier diets, reduce poverty and ensure social protection simultaneously.

Malnutrition has emerged as one of the most serious health issues worldwide. The consumption of unbalanced diet poor in nutritional quality causes malnutrition which is more prevalent in the underdeveloped and developing countries. Deficiency of proteins, essential amino acids, vitamins and minerals leads to poor health and increased susceptibility to various diseases, which in turn lead to significant loss in Gross Domestic Product and affect the socio-economic structure of the country. Although various avenues such as dietary-diversification, food-fortification and medical-supplementation are available, biofortification of crop varieties is considered as the most sustainable and cost-effective approach where the nutrients reach the target people in natural form. Here, we have discussed the present status on the development of biofortified crop varieties for various nutritional and antinutritional factors. Ongoing programmes of the Indian Council of Agricultural Research on the improvement of nutritional traits in different crops have been presented. Challenges and future prospects of crop biofortification in India have also been discussed. The newly developed biofortified crop varieties besides serving as an important source for livelihood to poor people assume great significance in nutritional security.

Increasing the tax compliance of self-employed business owners—particularly of trade-specific service providers such as those involved in construction and repair work—remains an ongoing challenge for tax authorities. From a compliance point of view, cash transactions are particularly problematic when services are paid for on the spot, as these exchanges are difficult to audit. We present experimental evidence testing ten different policy strategies rooted in the enforcement, service, and trust/social paradigms, in a setting that allows payment either via a transaction that directly reports income for tax collection purposes or in cash, where taxes are only collected on reported income. Our sample includes both a typical subject pool of students, as used in most previous studies, and non-students who are active within service industries characterised by the opportunity to engage in cash transactions. While our comparative results show that, for both student and non-student participants, interventions that rely on greater enforcement by the tax authority have the greatest effect on compliance in our cash economy setting, treatments involving cooperative elements may be similarly effective in enhancing tax compliance. Given their effectiveness, cooperative approaches should therefore be considered for addition to the policy mix if implemented at relatively low costs, making both carrot and stick approaches promising to increase compliance in an environment where cash-for-service payments offer a common benefit for small businesses and their customers from implicit collusion that enables tax evasion.

Raising concerns about the effectiveness of the energy poverty policy actions in Poland, such as Clean Air and Stop Smog, brings forward the need to apply different strategies to identify the energy poor. More than 13.7% of Polish households were energy poor in 2018 according to the ability-to-keep-home-warm indicator. This study proposes enhancing the model-based approach to measure households’ energy poverty. Our goal is to assess regional vulnerability to energy poverty in Poland. The study relies on three national datasets and is conducted in two steps. The Energy Consumption Survey (2018) and the Household Budget Survey (2018) provide data for modeling household’s energy poverty in the first step. The Local Data Bank (2019) gives information on the potential factors increasing regional vulnerability to energy poverty evaluated in the second step. We apply multiple linear regression to identify energy-poor households and principal components analysis to examine the regions’ vulnerability factors. As a result, we produce several maps showing the spatial distribution of vulnerability to energy poverty in 380 Polish districts. Our results indicate that some northern, southern and eastern districts in Poland are primary targets of energy poverty policy actions.