Trade openness,FDI, and income inequality: Evidence from sub‐Saharan Africa

The motivation for this study stems from the United Nations Sustainable Development Goals (UN‐SDGs) and their impact by 2030. The UN highlights 17 SDGs that address pertinent local and global issues, one of which—SDG‐10—has been devoted to reducing inequality. This study investigates the nexus between trade openness, foreign direct investment (FDI), and income inequality in sub‐Saharan Africa using panel data from 2000 to 2015 and the generalized method of moment (GMM) technique approach. The findings show that FDI and income have a negative, statistically significant relationship with income inequality, signifying that as FDI and income per capita increase, the level of income inequality decreases. However, trade openness, education, political stability, corruption, and rule of law have a positive, statistically significant relationship with inequality. This study, therefore, offers some recommendations that will help policymakers. First, develop good policies to attract more foreign investors, which will contribute to creating employment opportunities in the region. Second, create more infrastructures to provide good quality education. Third, implement a good policy to motivate local production which will contribute to creating jobs. Fourth, build a strong institution(s) to fight against corruption.     

Rank, income and income inequality in urban China

While some workers in China attain senior professional level and senior cadre level status (Chuzhang and above), others attain middle rank including middle rank of professional and cadre (Kezhang). This aspect of the Chinese labour force has attracted surprisingly little attention in the literature, a fact which this paper aims to rectify. We define various segments of the urban population in work-active ages and use data from the Chinese Income Project (CHIP) covering eastern, central and western China for 1995 and 2002. For 2002, persons of high rank make up 3% and persons of middle rank make up 14% of persons in work-active ages.Factors that affect a person's likelihood of having high or middle rank are investigated by estimating a multinomial probit model. We find that education, age and gender strongly affect the probability of being employed as a worker of high rank. There is relatively little income inequality among workers of high rank as well as among workers of middle rank. Mean income and household wealth per capita of highly-ranked workers developed more favorably than for other segments of the population studied, and personal income is more polarized by segment in 2002 than in 1995. Workers of high rank, and to a lesser degree, workers of middle rank, are among the winners in economic terms while the increasingly large category of non-workers is the losers. Rates of return to education have increased but income function analysis indicates that this provides only a partial explanation for the increased favorable income situation for workers of high and middle ranks.     

Trade liberalization and income inequality: The case for Pakistan

Trade liberalization policies have been adopted by many developing countries to increase economic growth and reduce poverty. While the positive relationship between trade liberalization and economic growth is generally well accepted, the impact of trade liberalization on poverty and income inequality is still unclear. The objective of this paper is to use real data and real trade agreements of the state of Pakistan, to examine the predictions made by trade models about the impact of trade liberalization on income inequality. To illustrate, the impacts of several alternative bilateral and regional free trade agreements are simulated on household income and income inequality in Pakistan. The results show that trade liberalization does not always lead to a decline in income inequality in the short run. Trade agreements that do improve income equality, favor agriculture and often hinge on a decline in urban and non-farm household income. In the long run, changes in income equality are more positive, suggesting that efforts might best be applied towards improving the mobility of labor and capital.     

Migration,population aging,and income inequality in China

In this study, we examine the effects of four demographic factors, namely, birth, death, natural aging, and net migration, on population aging and income inequality in China. We use the official Chinese data and the China Household Income Project Survey data for the 2007–2013 period and apply a decomposition model based on the Shapley method. Unlike previous studies, we include migration in our decomposition model and find that natural aging is the primary factor contributing to population aging in both urban and rural areas. Further, migration may accelerate population aging in rural areas. Moreover, migration contributes to reducing income inequality in urban areas, while widening income inequality in rural areas. The effect of migration is larger than those of birth, death, and natural aging on income inequality. The robustness checks confirm these conclusions.     

Education expansion,assortative marriage,and income inequality in China

In this paper, we study the pattern of assortative marriage in China since 1990 and its impact on income inequality. The results indicate that men in China are increasingly likely to marry women of similar education levels. We calculate the counterfactual income inequality that would prevail if marriages were randomly matched in terms of education. In 2005, China's overall Gini coefficient of household income per capita would decline from 0.512 to 0.476 if marriages were randomly matched. In urban areas, assortative marriage in education increased the Gini coefficients from 0.321 to 0.338 in 2009. The decomposition exercise shows that the rising returns to education contribute most to the increase in income inequality in urban areas between 1990 and 2009, while the change in marriage assortativeness plays a minor role.     

Top incomes in China: Data collection and the impact on income inequality

Using data on top incomes collected from different sources, we combine the samples of top incomes with a household survey (HS) to investigate changes in income distribution with and without top incomes. The Gini coefficient of income inequality using HS data is 0.464 for 2016 and jumps to 0.646 after including the samples of top incomes, which demonstrates the importance of top incomes in estimating income inequality.     

Trade openness and air pollution: City-level empirical evidence from China

We seek to contribute to the debate over trade openness and the environment by taking specific account of the endogeneity of trade openness. We use exogenous geographic determinants of trade as instrumental variables as well as distance to Huai River for identification which is based on China's heating policy. Using air quality measure from NASA, we find that trade increases three measures of air pollution: SO₂, NO₂, and Aerosol concentration.     

Carbon emissions and income inequality

We find that the distribution of income matters to aggregatecarbon dioxide emissions and hence global warming. Higher inequality,both between and within countries is associated with lower carbonemissions at given average incomes. We also confirm that economicgrowth generally comes with higher emissions. Thus our resultssuggest that trade-offs exist between climate control (on theone hand) and both social equity and economic growth (on theother). However, economic growth improves the trade off withequity, and lower inequality improves the trade off with growth.By combining growth with equity, more pro-poor growth processesyield better longer-term trajectories of carbon emissions.     

The long-term evolution of national income inequality and rural poverty in China

Using the five waves of the China Household Income Project surveys conducted during 1988–2013, we investigate long-term changes in national income inequality and rural poverty in China. National income inequality rose markedly to 2007 and thereafter fell slightly. Income growth was widely shared, but inequality increased because the high-income percentiles had faster income growth than lower percentiles and because the gap between urban and rural household incomes widened. The fall in income inequality after 2007 reflects faster income growth among low-income percentiles and the impacts of newly introduced redistributive policies. The paper also finds a considerable, ongoing poverty reduction in rural China. A poverty decomposition analysis indicates that this rural poverty reduction was mostly due to income growth rather than redistribution.     

Financial openness,financial sector development,and income inequality: With an extensive set of pull and push factors

This paper investigates the impact of financial openness on financial sector development and income inequality. We use the de jure and de facto measures of financial openness across 78 countries from 1980 to 2019. By employing a system generalized method of moments (GMM) with 5-year averaged data and a novel push and pull modeling framework, we obtain three key results. First, the de jure measure of financial openness exacerbates income inequality and is sensitive to banking crises and conflict intensity. Second, the de facto measure spurs stock value traded in emerging market economies (EMEs) and declines domestic credit in Africa. Third, the interaction between de facto measures with schooling and governance factors affects financial sector development and income inequality. We highlighted that the mere usage of the de jure measure and their interaction is incorrect. The key implication is that valuable information about the real impact of openness can be obtained from the de facto measures and their interaction with favorable macroeconomic fundamentals, governance factors, and adverse nonpolicy factors.     

Basic education and income inequality in Brazil

This paper attempts to elucidate the long-term impact of basic education on income inequality in Brazil. It does so, first, by examining how investment in basic education affects incomes and, second, by assessing the extent to which government involvement in the financing of education services and the taxing of the returns of education investment contributes to the achievement of a more equitable distribution of income.On the basis of the empirical evidence available in Brazil, it is possible to suggest that: (i) education per se cannot significantly reduce inequality, (ii) government policies in terms of education subsidies and taxes on lifetime earnings do not show a clear redistribution pattern, and (iii) there exist effective policy tools in the area of employment, education wastage, cost recovery practices which could help bridge the gap between rates of return to education and reduce income inequality.     

Relative income position,individual and social income satisfaction,and income inequality

Summary The survival probability as estimated by an individual is,ceteris paribus supposed to depend on his relative income position in a set of reference incomes. The relative income position is thus defined in close connection to the preference formation theory of Kapteyn. It is shown that then this survival probability, called ‘utility,’ may be equated to the relative income position. A nice result of this approach is the possibility to formulate a utilitarian welfare function, which leads to the definition of income inequality measures. It is shown that the use of sets of reference incomes may lead to considerably smaller measured inequality.     

Household appliance ownership and income inequality: Evidence from micro data in China

As the residential sector is becoming increasingly important in the total energy consumption and appliance ownership is a significant but under-examined driver, this study investigates the relationship between income inequality and appliance ownership using panel data from the China Health and Nutrition Survey (CHNS). We find that income inequality has negative impacts on appliance penetration rate across specifications, except for the initial development stage. On average, households start adopting air conditioners at a threshold of over 60,000 (2011 RMB) based on annual income, much higher than TV, fridge and washer (8500–9000 RMB). The empirical results validate the S-shape curve of appliance established in the literature. To understand the magnitude of the impact and policy implications, we further simulate the impact of poverty alleviation and the penetration paths under inclusive versus exclusive income growth. Our results demonstrate that current poverty line is too low to achieve appliance adoption – a signal for modern life-styles. In addition, a more inclusive growth path could lead to much higher penetration for regions that have relatively low growth rate.     

Dynamics of income inequality in Sweden

This paper investigates income inequality among individuals in Sweden overtime using generalized entropy measures in short-run (annual) and long-run (medium term) from 1978 to 1990. The results suggest that short-run inequality tends to decrease with fluctuations, partially due to transitory components. Long-run inequality declines in early years due to smoothing of transitory components. Further decline in long-run inequality is due to actual equalization. Gender, cohort, marital status, and region are used to investigate their implications. Between-group inequality due to gender and cohort are shown to be significant part of inequality. Within-group equalizations are generally more pronounced. Distinct group specific differences are observed.     

Perspectives on poverty and income inequality in Brazil

Exploratory analysis of the advance tabulations of the 1980 Brazilian demographic census suggests the proportion of the population in poverty fell during the decade 1970–1980. The degree of inequality of the distribution of the income of individuals apparently remained about the same from 1970 to 1980, after rising in the 1960s. This near-constancy of the overall inequality of income distribution resulted from two offsetting changes: a narrowing of the gap between rural and urban incomes, and greater inequality within the rural sector.     

Describing and decomposing post-apartheid income inequality in South Africa

This paper describes the changes in inequality in South Africa over the post-apartheid period, using income data from 1993 and 2008. Having shown that the data are comparable over time, it then profiles aggregate changes in income inequality, showing that inequality has increased over the post-apartheid period because an increased share of income has gone to the top decile. Social grants have become much more important as sources of income in the lower deciles. However, income source decomposition shows that the labour market has been and remains the main driver of aggregate inequality. Inequality within each racial group has increased and both standard and new methodologies show that the contribution of between-race inequality has decreased. Both aggregate and within-group inequality are responding to rising unemployment and rising earnings inequality. Those who have neither access to social grants nor the education levels necessary to integrate successfully into a harsh labour market are especially vulnerable.     

Preferential policies and income inequality: Evidence from Special Economic Zones and Open Cities in China

This paper examines whether cities with preferential policies have higher inequality in household disposable income per capita than cities without preferential policies in urban China. “Preferential policies” refers to the autonomy and deregulation given to Special Economic Zones (SEZs) and Open Cities, allowing them to experiment with market policies and reforms, as the country moves from a state-controlled economy towards a market-oriented economy. While the effect of these policies on economic growth is extensively documented, their relationship with income inequality remains undetermined. Subgroup decompositions of income inequality, using the China Household Income Project's urban datasets of over 6000 households and 20,000 individuals from of up to 70 cities from 12 provinces, were used to identify income inequality gaps between cities with and without preferential policies. The results reveal that while income inequality increased in urban China from 1988 to 2007, the change was lower for cities awarded preferential policies across regions. Furthermore, the decompositions by region indicate that cities receiving preferential policy treatment had higher income growth but a lesser increase in income inequality than cities without preferential policies in each region. Finally, cities receiving preferential policies were able to increase the share of income of the poorest 40% of households while reducing the share of the richest 10%.     

Crime and income inequality: An economic approach

Conclusion When a given pie is redivided in a less equalitarian manner, it is uncertain whether those already undertaking illegal activity will increase or decrease their activities, since the return to illegal activities is countered by the loss due to punishment (which is more painful to a criminal who failed) on one hand, and from the cost of the sacrifice of utility from legitimate activities on the other hand.If the absolute level of wealth remains constant but relative position declines, an incentive is generated to re-establish a person's standing by joining the crime industry. This is certainly the case at the margin for those close to the boundary of joining, i.e., those who are almost indifferent between joining or remaining within the legal framework.Assuming an individual is already participating in illegal activities, the effect of either an absolute or relative change in his level of wealth on his level of illegal activities is indeterminate. This applies both to the case where the total wealth of the society is fixed and the share of the pie going to the rich rises and the case where the total pie rose but the entire gain went only to the rich.In summary, it has been shown that an increase in wealth inequality has an indeterminate outcome both with respect to the decision of the poor on whether or not to enter the crime industry and with respect to the decision of those already participating in illegal pursuits to increase or decrease their level of activity. This conclusion is somewhat contrary to the general consensus of the literature, which appears to hold that increases in wealth inequality will tend to increase both the level of participation in the crime industry and the level of output within the industry.     

Trade in factor income and the US-China trade balance

US multindoational enterprises sell considerable amounts of products to China's domestic consumers that are “made” in either China or other countries. However, these sales are not counted as US exports to China. To account for this, we propose a beyond-borders approach to measuring trade flows that explicitly considers firm ownership, termed “trade in factor income (TiFI),” that defines the US-owned factor income induced by China's final demand as US exports to China. Applying this approach to OECD data, we find that on average from 2005 to 2016 in TiFI terms, US exports to China were 20.34% and 8.21% greater, China's exports to the US were 1.64% and 16.04% less, and the US trade deficits with China were 17.4% and 32.0% less than the trade figures reported in value added and gross terms, respectively. The concept of TiFI transforms trade measures from a territory-based “made in” label to a factor income-based “created by” label.