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This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.

Bipolar and depression disorders are some of the most common mental health disorders affecting millions of people in low-and middle-income countries, including those in Africa. These disorders are therefore major contributors to the burden of diseases and disability. While an enhancement in income is seen as a major approach towards reducing the burden of these disorders, empirical evidence to support this view in the African context is lacking. This study therefore aims to examine the effect of per capita income growth on bipolar and depression disorders across African countries.

The study uses data from secondary sources comprising 42 African countries over the period, 2002–2019, to achieve its objective. The prevalence of bipolar and major depressive disorders (depression) are used as the dependent variables, while per capita income growth is used as the main independent variable. The system Generalised Method of Moments regression is used as the estimation technique.

In the baseline, the authors find per capita income growth to be associated with a reduction in the prevalence of bipolar (coefficient: −0.001, p < 0.01) and depression (coefficient: −0.001, p < 0.1) in the short-term. Similarly, in the long-term, per capita income growth is found to have negative association with the prevalence of bipolar (coefficient: −0.059, p < 0.01) and depression (coefficient: −0.035, p < 0.1). The results are similar after robustness checks.

This study attempts at providing the first empirical evidence of the effect of per capita income growth on bipolar and depression disorders across several African countries.

The purpose of this paper is to analyze and compare the costs of price and income subsidies when the food security policy targets the urban poor. The result may help policymakers choose a desired subsidy scheme to ensure food security for the urban poor facing food price surge.

The analysis consists of three parts: constructing an empirical model on provincial panel data in 1993‐2009 estimating the impact of grain price on food security among urban residents by different income level; evaluating the potential costs of shifting to income subsidy aiming to maintain the real income levels of the low income, lowest income or the poor residents if grain price increases by 20 percent; and comparing with the cost of price subsidy to achieve the same policy goal.

The paper finds that, food price surge will hurt the urban poor much more seriously than the high income population; the rich residents may receive more benefit from price subsidy; and income subsidy has obviously a cost advantage while the targeted people benefit more.

The obvious value of the paper is to show that income subsidy is much more desired than price subsidy, if the policy goal is to help the poor during food price surge.

The rational expectations‐permanent income hypothesis (REPIH) is nothing new. The initial REPIH of Hall (1978) suggested that no other variable observed in earlier periods, given the inclusion of consumption lagged one period, should have any explanatory power for current consumption (Hall, p.972). The Hall version does not eliminate inclusion of current income in the explanation of consumption. Later work by Flavin (1981) finds that current income contains information about future income by providing signals to changes in permanent income. The means to reveal the innovation of current income signaling changes in permanent income has been to decompose current income into its anticipated and unanticipated components. Flavin suggests that unanticipated changes in current income may affect consumption by signaling changes in current income while anticipated changes in current income are included in the formation of permanent income thus having no affect on consumption.

The purpose of this paper is to show an optimum income tax policy, given that the government must raise sufficient tax revenue to fund public goods and services as well as income transfer programmes. The paper examines the different types of taxes and then suggests a policy that is efficient, equitable, easy to administer and leads to a higher level of economic growth.

A literature review has been done to find all scholarly work that relates to income tax policy and its effect on economic growth. Results from endogenous growth models have been utilised to determine both the significance and the magnitude of income tax policy's effect on the growth rate of real GDP.

After examining the benefits of each type of taxation and reviewing the principles of capitalism, a proportionate (single rate) tax of 12 per cent on all income would be approximately revenue neutral in the USA, and would add to the growth of real GDP, thereby improving the standard of living.

The paper concentrates on income tax policy in the USA. While it is believed that the conclusions apply to virtually all market-based economies, cultural differences in some countries may result in a modification of the conclusion to fit the society.

In the USA today, the majority of people favour changing the current income tax code. The debate is about what to change and how to change it. This debate is also important to developing nations who try to set an income tax policy that reaches the goals while encouraging growth.

While the literature shows varying studies concerning the impact of tax policy, there is a gap when searching for an optimum policy. Many scholars have made suggestions but none of them seem to be optimal. This topic is of particular interest in the USA and the rest of the developed and non-developed world, since the recent performance of GDP growth has been very slow and in many instances negative. Most countries have tried combinations of monetary and fiscal policies to encourage growth, but none seem to be working effectively. The solution may be to change income tax policy. The proposal for an optimum income tax policy is new and different from any that has been suggested as yet.

The Financial Accounting Standards Board (FASB) has recently issued Statement of Financial Accounting Standards, (SFAS) No. 130, Reporting Comprehensive Income. That Statement requires companies to report a comprehensive income measure, which includes net income and net‐of‐tax adjustments for changes in unrealized gains/losses on securities, foreign currency gain/loss adjustments, and minimum pension liability adjustments.These latter adjustments were previously reported directly in the stockholders’ equity section of the statement of financial position. This paper analyzes the effects of comprehensive income disclosures for 100 randomly selected Fortune 500 companies. Comprehensive income was computed for these companies and compared with re‐ported net income to determine the number and significance of these other comprehensive income adjustments.The results indicate that a large number of firms may report a comprehensive income amount different from reported net income. Although these differences may be significant for some firms, the majority of these adjustments will not cause comprehensive income to be materially different from reported net income for most firms.

The purpose of this paper is to examine how the intakes of calories, proteins, and fats vary with income in sub-Saharan Africa (SSA).

Annual time series data for 43 countries covering 1975-2009 that yields a balanced panel was employed for analysis. Nutrient-income elasticities are estimated based on the aggregate Engel Curve framework, using a feasible generalized least squares (FGLS) technique that is robust to autocorrelation.

The estimated nutrient-income elasticities are small: a 10 percent increase in income will lead, respectively, to rises of about 0.73, 0.87, and 0.90 percent in calories, proteins, and fats intake; showing that policies that are aimed at eliminating malnutrition through only the growth of per capita income will have positive but limited impacts. The estimated aggregate Engel Curve and the non-parametric plots show that at higher income levels the relationship between income and nutrient intake is non-linear and diminished, suggesting a low likelihood for the manifestation of an obesity epidemic in SSA.

This is the very study that attempts to look at the nutrition-income elasticities at cross-country level in SSA.

The study of regional income differences has been a matter of considerable debate and empirical testing for many years. More than three decades ago, Easterlin suggested that convergence of regional income levels ought not be held as a certain and inevitable result of the process of trade and economic development. He pointed out that while trade and free movement of labor may exert some pressure towards convergence of wages and income, there are other dynamic processes that can thwart the equilibrating effects of free trade in resources and goods. The notion that free trade and efficient markets ensure long‐run equilibrium among regional income flows in a changing environment has been challenged more vigorously in recent years. Eberts has suggested that incomplete information and mismatch between worker skills and job requirements, and institutional barriers to mobility often lead to incomplete adjustment in wages and persistent differences in regional income levels. This paper contends that swift convergence of regional income flows to a steady state cannot materialize unless investments in human capital and research are uniform across regions. In the context of the endogenous growth theory, convergence of per capita income is not synonymous with convergence of total factor productivity. As Abramovitz has pointed out, even if total factor productivity across regions show convergence, demographic and investment factors may inhibit complete convergence in per capita income.

The purpose of this article is to examine the purchasing power at the bottom of the pyramid (BOP), i.e. of low‐income consumers.

The authors analyze secondary data on income, population, and expenditure at the BOP from different countries, and apply the buying power index (BPI) methodology to assess the purchasing power of low‐income consumers.

In developing countries, more than 50 percent of the purchasing power resides in the BOP segment. Asia is the region with the greatest purchasing power, relative to Africa, Eastern Europe, and Latin America and Caribbean. On average, the greatest BPI is in the lowest income tier, and consumption concentrates mainly in food, housing, and household goods.

The article provides useful information to companies interested in reaching low‐income consumers about the relative purchasing power at the BOP across geographic regions, income tiers, and product categories (or industries).

The research proposes the BPI as a key indicator of purchasing power at the BOP, and shows how this purchasing power breaks up among geographic regions, income tiers, and product categories (or industries).

This paper investigates the effect of income inequality on health status. A model of health status was specified in which the main variables were income level, income inequality, the level of savings and the level of education. The model was estimated using a panel data set for 44 countries covering six time periods. The results indicate that income inequality (measured by the Gini coefficient) has a significant effect on health status when we control for the levels of income, savings and education. The relationship is consistent regardless of the specification of health status and income. Thus, the study results provide some empirical support for the income inequality hypothesis.