Do Trade and Poverty Cause Each Other? Evidence from BRICS

Any two variables that are observable have one or the other form of relationship. This is particularly a statistical relationship. But for a statistical relationship to be cause and effect, a theoretical relationship is important. The theoretical relationship can be quantified to search for the evidence of causality. The possible outcomes can be no causality, unidirectional causality, or bidirectional causality. The present study aims at searching for evidence from BRICS countries regarding trade causing poverty or vice versa. Applied econometrics approach is used in the study. Panel econometric techniques have been employed to identify presence/absence of causality between the variables. Apart from this, the study also uses equality of means to identify whether trade and poverty proxies are symmetrical or asymmetrical. The study finds no causal relationship between trade and poverty for BRICS countries except that poverty headcount at $3.2 per day causes trade balance. With respect to the impact on the GINI index, lowest 10 percent income share and poverty headcount ratios are integral to reduce the inequality in the BRICS countries.

Financial Constraints, Corporate Savings and Labor Income Share—Based on China’s Economic Transition

What causes are responsible for China’s declining labor income share? We investigate this phenomenon in depth from the standpoint of financial constraints. By summarizing the stylized facts of China’s economy, this paper demonstrates that as China’s economy transforms, the financial market’s imperfections lead to more efficient (non-state-owned) enterprises inclined to use corporate savings for the purpose of “crowding out” workers’ remuneration for endogenous financing, resulting in a rising savings rate and a declining share of labor income. On this foundation, we construct a more general theoretical model regarding China’s economic transformation, propose research propositions, and conduct an empirical study utilizing the Chinese Industrial Enterprises Database from 1999 to 2007. The findings show a strong negative relationship between the financial market imperfections and the labor income share, with a 1% increase in financial constraints reducing labor income share by 0.051%. The rise in savings as a result of the financial restrictions works as a mediator variable in this process. Furthermore, our prediction for the path of the labor income share suggests that China’s savings rate would decline after reaching its peak, while the labor income share will bottom out and rebound by the end of the country’s economic transition. This study uses firm-level micro-data to reveal the internal mechanism of financial constraints lowering labor income share, which is a useful supplement to the existing literature. It also provides empirical evidence and policy options for developing countries to reform their financial systems and increase labor income share in the pursuit of sustainable development.

How human capital affects labor income share at the sectoral level?: Evidence from the EU-13 countries and the UK

PurposeThe author investigates the effects of human capital on labor income share in the 15 sectors of the European Union (EU)-13 countries and the United Kingdom (UK) over the period 2008–2015.Design/methodology/approachThe author employs pooled ordinary least squares (OLS) estimation with panel data, using the EU KLEMS database.FindingsThe results show that when education level increases, labor income share increases and gender-based labor income share differentials decrease. Return to education is higher in qualitative sectors in contrast with the other sectors. Moreover, there are gender-based labor income share differentials at the sectoral level. These differentials are higher in nonqualitative sectors, while they are relatively lower in qualitative sectors.Research limitations/implicationsThe biggest limitation of the study is that the data range cannot be expanded because of the database. The author is of opinion that the empirical findings will guide to policy makers in terms of wage setting.Originality/valueThe expected contribution of this study to the literature is to investigate the effect of human capital on labor income share at the sectoral level for the EU-13 countries and the UK. As far as the author knows, there is no study which investigates this topic at the sectoral level such a comprehensive, in the literature.

Housing Expenditure and Income Inequality

The trend of rising income inequality in Germany since the mid-1990s is strongly amplified when considering income after housing expenditure. The income share of housing expenditure rose disproportionally for the bottom income quintile and fell for the top quintile. Factors contributing to these trends include declining relative costs of homeownership versus renting, changes in household structure, declining real incomes for low-income households, and residential mobility towards larger cities. Younger cohorts spend more on housing and save less than older cohorts did at the same age, which will affect future wealth accumulation, particularly at the bottom of the income distribution.

Competitive Strategy of Firms’ Participation in the Global Value Chains and Labor Income Share

The division of labor in the global value chain (GVC) has reshaped the competitive advantage of enterprises participating in the international market and has a significant influence on the distribution of their factor income. Based on the perspective of market choice, this paper uses China’s industrial enterprises’ data, Customs Statistical Data on Import and Export, Word Input and Output Database (WIOD), and BACI database from 2000 to 2007 to analyze the effect of competitive strategy of a firm’s GVC participation on its labor income share. Herein, the competition strategy is depicted by the quality and price of export goods. The empirical results show the following. (1) Quality competition has a larger effect on labor income share than price competition. High-quality and high-price or high-quality and low-price strategies tend to have a significant negative effect on labor income share, while low-quality and low-price and low-quality and high-price strategies have a positive effect. (2) The higher the target market GVC status, the lower the labor income share of exporting firms, and the target market GVC status amplifies that the high-quality and high-price strategies on firms’ labor income share the negative effect of high-quality and low-price strategies on exporters’ labor income share. (3) High-quality and low-price strategies have a significant negative effect on exporters’ labor income share when competing with developing countries in developed country markets or with developed countries in developing country markets. However, the positive effect of low-quality and low-price strategies and low-quality and high-price strategies kept unchanged. The findings remain robust after controlling for endogeneity and accounting for the effects of firm heterogeneity, indicator measurement, and sample variation.

The Robin Hood Index Adjusted for Negatives and Equivalised Incomes

Indisputable figures on income and wealth inequality are indispensable for politics, society and science. Although the Gini coefficient is the most common measure of inequality, the straightforward concept of the Robin Hood index (namely, the income share that has to be transferred from the rich to the poor to make everyone equally well off) makes it a more attractive measure for the general public. In a distribution with many negative values – particularly wealth distributions – the Robin Hood index can take on values larger than 1, indicating an intuitively impossible income transfer of more than 100%. This article proposes a method to normalise the Robin Hood index. In contrast to the original index, the normalised Robin Hood index always takes on values between 0 and 1 and ends up as the original index in a distribution without negatives. As inequality measures are commonly applied to equivalised income, we also introduce a method for adequately transferring equivalised incomes from the rich to the poor within the framework of the (normalised) Robin Hood index. An empirical application shows the effect of normalisation for the Robin Hood index, and compares it to the normalisation of the Gini coefficient from previous research.

Monetary Policy and the Top 10%: A Time-Series Analysis Using ARDL and ECM

For the past decades, income inequality has been on the rise, and so is the frequency of its mentions in recent speeches by central bankers. With the heightened importance of the topic, this research aims to study the impact of monetary policy on income inequality. The study used dynamic models for the analysis, namely; the Error-correction Model (ECM) and the Auto-regressive Distributed Lag (ARDL) model to determine the relationship in both the short- and long-run. The data used were the top 10% income share and the short-term interest rate. Our main hypothesis is that changes in the short-term interest rate have a significant impact on the top 10% income share. We draw time-series evidence from a sample of nine economies at different stages of development: United States, United Kingdom, Russia, Germany, France, Greece, China, South Africa and Chile. The findings support the hypothesis with interestingly varying effects across our sample. These results provide important implications that can contribute in bettering policy setting and add to the discussion of the role of central banks in reducing income inequality.