Efficiency or equity? The effect of an exogenous agricultural commercial shock: Evidence from Manchuria in the 1930s

The adoption of high-value cash crops (HVCs) is considered an efficient way to improve farmers' productivity and welfare, although the systematic empirical evidence is limited. By exploiting an exogenous commercial shock for soybeans and microlevel rural survey data from Manchuria of China in the 1930s, where factor markets were relatively well functioning, this study investigates the influence of HVC cultivation on farmers' agricultural performance, welfare, and inequality both theoretically and empirically. We find that (i) larger farms devote a larger proportion of land to HVCs and that (ii) farmers who cultivate a larger proportion of HVCs have higher agricultural productivity, profit, net income, and expenditure. Furthermore, the adoption of HVCs lowers profit, income, and expenditure inequality by enhancing income from wages relative to land rents, which benefits households with less land.     

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.     

Engels’ pause: Technical change, capital accumulation, and inequality in the british industrial revolution

The paper reviews the macroeconomic data describing the British economy from 1760 to 1913 and shows that it passed through a two stage evolution of inequality. In the first half of the 19th century, the real wage stagnated while output per worker expanded. The profit rate doubled and the share of profits in national income expanded at the expense of labour and land. After the middle of the 19th century, real wages began to grow in line with productivity, and the profit rate and factor shares stabilized. An integrated model of growth and distribution is developed to explain these trends. The model includes an aggregate production function that explains the distribution of income, while a savings function in which savings depended on property income governs accumulation. Simulations with the model show that technical progress was the prime mover behind the industrial revolution. Capital accumulation was a necessary complement. The surge in inequality was intrinsic to the growth process: technical change increased the demand for capital and raised the profit rate and capital’s share. The rise in profits, in turn, sustained the industrial revolution by financing the necessary capital accumulation. After the middle of the 19th century, accumulation had caught up with the requirements of technology and wages rose in line with productivity.     

China's Great Ascendancy and structural risks: consequences of asymmetric market liberalisation

China's great ascendancy from a poor agrarian economy to an economic superpower is unprecedented. But in the process, structural imbalances, resource inefficiency, and income inequality worsened rapidly. It is argued that the coexistence of China's extraordinary growth and serious structural risks are two sides of the same coin: asymmetric liberalisation of product and factor markets. Distortions in markets for labour, capital, land, energy, and the environment lower production costs, increase corporate profits, raise investment returns, improve the international competitiveness of Chinese goods, and therefore lift China's growth. But they also depress consumption. China needs to accelerate factor market liberalisation in order to complete the transition to a market economy and to lock the economy onto a more sustainable path.     

A new ordered family of Lorenz curves with an application to measuring income inequality and poverty in rural China

The most common data source on income distribution in China is grouped data. When income data is in grouped form, some acceptable Lorenz model is needed to approximate the underlying Lorenz curve. This paper presents a new family of Lorenz curves and applies the main model in our proposed family of Lorenz curves to income data for rural China over the period 1980 to 2006. We find that the income share of the rural population at the low end of the income scale has been shrinking, income inequality in rural China has increased over time and that income inequality has impeded attempts to reduce poverty. However, the welfare of the rural population is still improving in terms of the generalized Lorenz dominance criterion.     

The growth,poverty and inequality nexus in South Africa: Cointegration and causality analysis

This study empirically established the long-run relationship and causality effects that exist between growth, poverty and inequality. The analysis was carried out on a panel of nine South African provinces from 1995 to 2012. To capture poverty and inequality in a broader context, two measures of poverty (income and non-income) and three measures of inequality (income, education and land) were adopted for the study. The results confirm that there is a long-run relationship between growth, poverty and inequality. Notable results from the causality tests suggest that growth does not promote equal distribution of income in society but as income distribution begins to equalise, economic growth rises. This is regarded as growth–inequality disconnect. The unidirectional causality, which runs from income poverty to income inequality, suggests that a rising level of income poverty will lead to falling income inequality in the society; likewise, income inequality increases as non-income poverty declines.     

对外开放与我国的收入不平等——基于面板数据的实证研究

本文采用我国1991~2004年的省际面板数据,就收入不平等与对外开放之间的关系进行了实证检验,发现进出口的增加与外商直接投资的大量进入均导致了我国收入不平等程度的提高。以往的研究并没有将进口和出口的影响区分开来,本文分别分析了进口和出口对各地区收入不平等的影响,发现进口能够显著提高各地区的收入不平等程度,而出口能够在一定程度上减少收入不平等。文章最后就对外开放对我国收入不平等产生影响的可能途径进行了探讨,并提出了相关建议。     

LABOUR AND LAND IN GHANA, 1874–1939: A SHIFTING RATIO AND AN INSTITUTIONAL REVOLUTION

The Second Industrial Revolution created markets for new products for Ghana, rubber and then cocoa beans. Mechanised transport spurred the spread of cocoa planting. The paper estimates the resultant shift in factor ratios, and synthesises the data for prices of land-use rights and wages as the economy moved from land abundance to localised land scarcity. The consequences for factor markets were institutional rather than simply quantitative. For the first time markets in land use rights became widespread, while hired labour and farm pledging replaced slavery and debt bondage, as cocoa income made it possible for farmers to offer labourers sufficient inducement to enter the labour market.     

The Effects of Labor Markets and Income Inequality on Crime: Evidence from Panel Data

We estimate a model of crime using panel data for the U.S. We focus on the role of labor markets, income distribution, and demographics on property crime. We find strong evidence that favorable labor market conditions have a significant negative effect on property crime. We further test this result using sector-specific wages and find that crime is most elastic with respect to wages in sectors that use low-skilled labor. We also find that income inequality has no significant effect on crime and that the proportion of young males in the population has a significant positive effect on crime.     

Effects of Patent Policy on Income and Consumption Inequality in a R&D Growth Model

To analyze the effects of patent policy on growth and inequality, this article develops a quality‐ladder model with wealth heterogeneity and elastic labor supply. The model predicts that strengthening patent protection increases (a) economic growth by stimulating spending on research and development and (b) income inequality by raising the return on assets. Elastic labor supply creates an additional effect on income inequality. As for consumption inequality, the effect is ambiguous and depends on the elasticity of intertemporal substitution. Calibrating the model to the U.S. data shows that strengthening patent protection increases income inequality by more than consumption inequality, and this pattern is consistent with the data.     

Which indicator of income distribution explains crime better? Evidence from China

Income distribution is perceived to affect crime (Becker 1968; Thurow 1971; Merlo 2003). Consequently, economists have been modeling crime employing inequality indicators as one of the explanatory variables, yielding mixed results. This paper argues that income polarization rather than inequality indicators should be used instead. Technically, in addition to income gaps that are measured by inequality indicators, the recently developed polarization index of Duclos, Esteban, and Ray (2004) also captures clustering, which implies social segregation and immobility, both potentially causing social tensions and conflicts. Thus, this polarization index is expected to be a better variable in explaining crime. To substantiate our arguments, provincial panel data from China are used to model the crime–income distribution relationship. Income polarization is found to be positively and significantly associated with crime. When both income polarization and inequality indicators are included in the models, the former remains a positive and significant determinant while the latter becomes insignificant.     

Income inequality,volatility, and mobility risk in China and the US

A unified index of income inequality, volatility, and mobility risk is presented, and measurements based on US and Chinese panel data calculated. China is found to have higher-income volatility than the US in recent data, so that long-run inequality is comparable in the two countries, and short-run inequality overstates long-run inequality more in China than in the US. In both countries volatility and income inequality are increasing over time.     

Intergenerational transfer of human capital and its impact on income mobility: Evidence from China

This paper analyzes theoretically and empirically the impact of intergenerational transmission of human capital on the income mobility in China. We use a three-period overlapping-generations (OLG) model to show that the human capital transfer plays a remarkable role in determining the parent-to-offspring investment in human capital and the intergenerational elasticity of income. We then estimate a simultaneous equations model (SEM) using the 1989–2009 China Health and Nutrition Survey (CHNS) data to verify our theoretical predictions. The results show that (i) human capital, measured by health and education, is directly transmitted from one generation to the next, reflecting the parent-induced inequality of development opportunities among offspring in China; (ii) the estimated intergenerational income elasticity increases from 0.429 to 0.481 when the direct transfer of human capital is accounted for, suggesting that omitting this mechanism would overestimate China's income mobility. Our findings provide policy implications on strengthening human capital investments among the disadvantaged groups, reinforcing reforms that promote equality of opportunity, and improving the efficiency of labor markets in China.     

Does the "missing" high-income matter? -Income distribution and inequality revisited with truncated distribution

The issue of missing high-income data in household surveys has been a constant concern among researchers and practitioners when drawing inferences on inequality measures, discussing the relationship between poverty and growth, and examining the relationship between expenditure and income. We introduce a truncated distribution technique to correct the potential bias caused by the missing high-income data. Using 2002/2007/2013 Chinese Household Income Project Survey data and the 2002/2007/2014 US Consumer Expenditure Survey data, we test and estimate three commonly used income distributions: lognormal, Singh Maddala, and Beta II distribution with/without the truncation assumption. We find that the truncated Beta II distribution best describes income distribution in China, while the truncated Singh Maddala best fits the income in the US. The missing high-income in China has a significant but small effect on the Gini and Theil coefficients for 2007, whereas the missing high-income in the US has significant effects for 2007 and 2014. The Gini coefficient increases from the sample mean 0.44 to the simulation mean of truncated Beta II distribution as 0.47 for China in 2007 and increases from the sample mean 0.4422/0.4485 to the simulated mean of truncated Singh Maddala distribution 0.4506/0.4588 for 2007 and 2014 respectively. We also check the impact of missing low-income individuals on inequality assessment and find that the missing low-income data does not appear to underestimate inequality.     

Decomposing income inequality in a backward pre‐industrial economy: Old Castile (Spain) in the middle of the eighteenth century

Research on economic inequality in early modern Europe is complicated by the lack of appropriate data for reconstructing income or wealth distributions. This article presents a study of income inequality in mid‐eighteenth‐century Old Castile (Spain) using the Ensenada Cadastre, a census conducted between 1749 and 1759. The article describes the information provided by this census and then discusses its advantages and disadvantages for reconstructing income profiles and calculating income inequality. This is followed by analysis of a dataset derived from the Cadastre that consists of more than 4,000 observations from Palencia (a province in northern Spain) and contains information on sources of household income, each household head's main occupation, residence location, and other household characteristics. Demographic data from this census is used to weight observations in the sample and thereby minimize selection bias. Findings show that inequality in eighteenth‐century Spain was probably substantial despite its relative backwardness; that the relationship between inequality and per capita income was not clear‐cut and was probably influenced by measurement of the higher incomes; and that although income inequality was largely driven by uneven land distribution, labour income also contributed to overall inequality—especially in urban centres.     

Explaining the changes of income distribution in China

China has experienced one of the most remarkable increases in inequality over the last decade: the Gini coefficient increasing from 25.7 in 1984 to 37.8 in 1992. Using the recent developments in the theory of income distribution [J. Polit. Econ. 101 (1993) 274; Rev. Econ. Stud. 60 (1993) 35.] and a new panel data set about Chinese provincial-urban-level income inequality, this paper finds that inequality increased with the reduction of the share of state-owned enterprises (SOEs) in GDP, high inflation, growth, and (less significantly) the increasing exposure to foreign trade. We also find some evidence for the Director's Law: income redistribution tends to shift resources from the rich and the poor to the middle class. We do not find schooling and urbanization to be a significant explanatory factor.     

Inequality of opportunity and income inequality in nine Chinese provinces, 1989–2006

While there is a large and growing body of research describing and analyzing changes in the Chinese income distribution, researchers have paid considerable less attention to inequality of opportunity. The aim of this paper is to contribute to filling this gap in the literature. The two main questions addressed empirically for the first time in a Chinese context are: to what extent are individuals’ incomes and individual income differences due to factors beyond the individual's control (in Roemer's terminology “circumstances”) and to what extent are they due to outcomes of the individual's own choices (“effort”). What is the relationship between income inequality and inequality of opportunity?For this purpose we use data from the China Health and Nutrition Survey collected from nine provinces during the period 1989 to 2006. The CHNS has detailed information about incomes and other factors enabling us to construct a host of circumstance and effort variables for the offspring.We find that China has a substantial degree of inequality of opportunity. Parental income and parents' type of employer explain about two thirds of the total inequality of opportunity. Notably, parental education plays only a minor role implying that parental connections remain important. The results show that the increase in income inequality during the period under study largely mirrors the increase in inequality of opportunity. Thus, increased income inequality does not reflect changes in effort variables, or expressed differently, increased income inequality has not been accompanied by a decrease in inequality of opportunity.     

Equity,efficiency, and labor-market reforms in urban China: the impact of bonus wages on the distribution of earnings

Economic reforms in China have led to a shift in emphasis away from equity towards greater efficiency with a consequent increase in income inequality. In this paper, we focus on the causes of the rising inequality of individual earnings and the link with the reform program by analyzing the components of individual earnings (i.e. standard and bonus wages) separately. Increasing inequality is seen to reflect a rising share and inequality of bonus wages. This, in turn, predominantly reflects the unequal distribution of enterprise profitability combined with labor immobility across enterprises, rather than increasing returns to personal characteristics, such as human capital or gender. Based on these results, we argue that the future evolution of earnings inequality will be determined by the sequence of reforms in, for example, capital and labor markets.     

A causal model of the size distribution of family income: Some overlooked determinants and policy implications

Summary The causes and interaction of variables affecting income inequality are complex and very little empirical research has been attempted to explain or measure these interactions. This paper employs an eclectic approach to construct a causal multiequation model that specifies a system of interrelationships to examine both the direct and indirect effects which selected socioeconomic and demographic variables have upon the size distribution of family income. This procedure has advantages over single equation models in explaining the processes through which variables affect income inequality, allowing greater accuracy in estimating the impact that variables have upon inequality by measuring both their direct and indirect effects, and facilitating the identification of policy variables and how they may be expected to work through the system of interrelationships to narrow the differentials in family earnings.In particular, our model reveals that the birth rate is the single most important factor exacerbating family income inequality, and selective policies were identified which may interact with many variables within the system to reduce family income inequality. The model further demonstrates a high predictive power with a coefficient of determination of 0.82. Our results demonstrate that causal multiequation models using an eclectic methodology to examine the interactions of variables and processes through which they affect the size distribution of income can be useful in quantifying the relative effects of a wide variety of socioeconomic and demographic determinants and constructing policies in future research efforts in this important area.     

Income and consumption inequality in China: A comparative approach with India

We analyse income and expenditure distribution in China in a comparative perspective with India. These countries represent extreme cases in the relationship of inequality to both wellbeing indicators. Income is more highly concentrated than expenditure in India, especially at the top of the distribution. Both types of inequality are similar in China, although expenditure is more unequally distributed than income in urban areas. China has a much stronger correlation in individual ranks and levels between the two wellbeing distributions. As a result, expenditure inequality is higher in China than in India, but income inequality much lower. This results partially from differences in population composition, such as China being more urbanized and having smaller households, but mostly from differences in conditional income distributions, especially by attained education of the household head. We show that hybrid measures of wellbeing combining income and expenditure can be useful for such cross-country comparison.