中印城乡不平等比较:经济学分析视角

从总体上看,目前中印两国农村内部不平等程度基本上差不多,但是两国收入分配不平等的历史变化和趋势不一样;中国城乡之间无论是收入差距,还是消费差距所反映的不平等程度都明显高于印度的不平等;中国是农村不平等大于城市不平等程度,而印度则是城市不平等大于农村不平等。导致这些结构性差异的原因主要是:印度的经济增长包括技术变化、对外开放、人力资本等因素对于城乡内部以及城乡之间、地区之间等收入不平等变化产生的影响和作用更大;而中国经济增长和对外开放等因素虽然对于收入不平等也有一定影响,但是政府的政策导向和理念(先富后富政策理念与城市和沿海偏向政策)则对于城乡内部以及同一地区内城乡之间的不平等的影响更大一些。     

The role of public pensions in income inequality among elderly households in China 1988–2013

Using data from the Chinese Household Income Project surveys for 1988, 1995, 2002 and 2013, we investigate the role of public pensions in income inequality among households with elderly members across two decades of pension policy reforms. We examine the distribution and role of public pensions at a national level and analyse the evolution of the contribution of public pensions to national income inequality across a much more extended time period than earlier studies, which have generally focused on regional changes over short periods. Our findings suggest that public pensions have become the most important source of income for households with elderly members on average in China, but the distribution of pension income is highly unequal, with a Gini coefficient of 0.74 in 2013. Public pension income has been the largest source of income inequality for elderly households since 2002 and contributed to more than half of total income inequality in the most recent year of the survey. This finding is robust against variations in the income inequality measures used. Additionally, our analysis suggests unequal distribution of pension benefits is the primary driver of pensioners' income inequality. Among several hypothetical policy changes, ensuring a minimum pension benefit for all existing pensioners seems to be the most fiscally effective option in reducing income inequality, with a 0.8% reduction in the Gini coefficient for a 1% increase in public pension expenditure.     

Introduction to income inequalities and redistribution in china

This special section presents the main findings about long-run trends in inequality in China and its driving factors as they emerge from a country case study carried out under a UNU-WIDER supported project.¹ Special focus in the umbrella project were on three issues: (i) the role of earnings inequality and its determinants; (ii) the role of top incomes when administrative records or other sources can be combined with household surveys; and (iii) the redistributive impact of public policies. Main findings of the project including those for China results were presented in a special panel during the UNU-WIDER Think Development – Think WIDER development conference held in Helsinki in September 2018.²

1. Motivation

Inequality has once again emerged as a major issue in economic development across the developed and developing world, and addressing this challenge is key in the UN Sustainable Development Agenda. The UNU-WIDER conference on Mapping the Future of Development Economics held in Helsinki in September 2016³ led to the formulation of a project to study inequality in five major developing countries accounting for more than 40 per cent of the world’s population. UNU-WIDER implemented these studies under its Inequality in the Giants project,⁴ designed as part of a broader international effort to shed light on a set of new questions on between-country and within-country inequalities, by generating integrated datasets and applying a consistent methodology to investigate the determinants of inequality dynamics in some of the world’s largest economies. China was included among the five case countries, and the effort included both a series of papers on China, produced under the coordination of Professor Shi Li and various workshops and meetings. Coming to grips with inequality in China is an obvious priority for anyone interested in trends in global inequality; and the present special section contains five key papers produced in the context of the UNU-WIDER project and subsequently accepted for publication by the China Economic Review.

2. Content of the special section

The five papers on inequality in China presented in this special section cover different topics and jointly illustrate a key set of important themes in the recent evolution of China’s income distribution.The opening study by Luo, Li, and Sicular (LLS) provides an overview and analysis of the long-term evolution of inequality in China, while the next three papers — on urban wage inequality, public transfers, and top incomes — each illustrates and delves more deeply into important aspects of the broader trends in inequality.What are the main findings of these papers? The core finding is that inequality in China rose markedly from the 1980s through the early 2000s; only since 2008 has the upward trend stopped or reversed. LLS report and examine the underpinnings of this core finding, using the five waves of the China Household Income Project surveys conducted during 1988-2013. This paper also finds a considerable, ongoing reduction in rural poverty, and a poverty decomposition analysis indicates that this poverty reduction was mostly due to income growth rather than redistribution in rural areas.The second paper by Gustafsson and Wan (GW) is on urban wage inequality from 1988 to 2013 and it sheds further light on the changes in the distribution of wage earnings. The authors highlight that average wages have grown rapidly and that wage inequality increased until 2007. Moreover, age has become weaker and education stronger related with wage. Importantly, the gender wage gap once small widened rapidly between 1995 and 2007, and workers in foreign owned firm and the state sector enjoy a wage premium.While wages are the most important component of income, it is only part of the inequality story. One important additional question is the role of government taxes and transfers. Since the early 2000s, China has embarked on a major effort to put in place a universal social safety net. The study by Cai and Yue (CY), which is the third paper, assess the consequences of these efforts. Their key conclusions include that the same public policy may produce different redistributive implications. Moreover, if the government keeps increasing the social security transfer scale without changing its distribution, then inequality will increase in China. In addition, formal-sector pension takes up the biggest share and is the most un-equalizing sub-item of all social security transfers; and related to the first paper in the special section they argue that the government should spend more on Dibao and rural residents pension to reduce inequality.Arguably, income inequality measured using household survey data understates actual inequality because surveys have difficulty in capturing top incomes. In the Chinese case, concerns about such bias have increased in the past ten years due to the expansion of private wealth and growing numbers of super-rich. The fourth paper by Li, Li, and Wan (LLW) is on top incomes in China and it attempts to correct for this bias using income information for the Chinese super-rich from various sources. They conclude that the Gini coefficient of income inequality increases substantially when samples of top incomes are incorporated.Finally, Gradín and Wu (GW) analyse in the fifth and final study the distribution of income and expenditure in China in a telling comparative perspective with India. Both countries represent two extreme cases in the relationship of inequality using both wellbeing indicators. It emerges that the joint distribution of income and expenditure differs between China and India because there is a higher prevalence of people with a large mismatch between their ranks in income and consumption in India, especially in rural areas, and particularly amongst those reporting low income and high expenditure. The main compositional effects identified are the different demographic and geographical composition of the countries’ populations, mostly the smaller households (especially in rural areas) and the higher level of urbanization in China than in India. The lack of consistency of cross-country comparisons based on income or expenditure calls for the use of hybrid inequality measures combining data on both provided they are available in the same survey.

3. Concluding remarks

The studies brought together in this special section provide telling insights about the trends in inequality in China from which scholars and policy makers can learn a great deal. In a global perspective, further increases in China’s mean income and wealth, both now above the global means, will begin to raise global between-country inequality. This is important in and of itself. Moreover, while we cannot expect that all the world’s poorest countries will follow the same path as China considering that the initial conditions and the international context they face will be very different, the experiences from China do reinforce the observation that much can be done by policy to influence inequality outcomes. In particular, and as argued by Gradin, Leibbrandt, & Tarp, 2020 (forthcoming):“well-functioning labour markets that promote job-creation, decent pay and social inclusion, removing any legal or de facto discrimination based on gender, race, ethnicity or place of origin, providing equal access to human and physical capital, and empowering the most disadvantaged population groups, are a key driver of increased equality”.These insights also emerge clearly from the five China studies in this special section.     

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.     

Human capital investment in children: An empirical study of household child education expenditure in China, 2007 and 2011

Household education expenditure is an important component of human capital investment in children. In China, the rising child education expenditure and the subsequent financial burden on families have attracted much research and policy attention in the recent years. Using 2007 and 2011 data from the Urban Household Education Surveys, our empirical study provides new evidence on the education expenditure level, ratio of expenditure to household income, and inequality in this expenditure. We also elucidate changes in China's household education expenditure and explore factors associated with such changes. From the analysis, we obtain the following findings. First, education expenditure incurred outside the school significantly contributes to increasing household education expenditure. Second, compulsory education programs are effective in curbing in-school education expenditure; however, it does not prevent the rapidly increasing education investment outside school. Third, education expenditure disproportionally increases with family income. In other words, a larger share of the income earned by lower income families is spent on children's education, compared to higher income families.     

Rural-urban Migration and Dynamics of Income Distribution in China： A Non-parametric Approach

Extending the income dynamics approach in Quah (2003), the present paper studies the enlarging income inequality in China over the past three decades from the viewpoint of rural–urban migration and economic transition. We establish non‐parametric estimations of rural and urban income distribution functions in China, and aggregate a population‐weighted, nationwide income distribution function taking into account rural–urban differences in technological progress and price indexes. We calculate 12 inequality indexes through non‐parametric estimation to overcome the biases in existing parametric estimation and, therefore, provide more accurate measurement of income inequality. Policy implications have been drawn based on our research.     

Land, Factor Markets, and Inequality in Rural China: Historical Evidence

Drawing on a unique household-level data set from northeast China in the 1930s, this paper explores the connections between the distribution of land, factor markets, and income distribution. We test whether patterns of income inequality were consistent with the predictions of a market-clearing, neoclassical model linking land and labor endowments, through factor markets to household income. While the model is consistent with some features in the data, we reject the hypothesis that factor markets worked perfectly and find support for the historian's intuition regarding the disproportionate impact of land inequality in the countryside. Nevertheless, where markets were more active, especially land rental markets, excess returns to land were diminished and inequality was lowest. This suggests that factor market development played a positive role in reducing inequality in rural China.     

Regional Income Inequality and Welfare in China: A Dominance Analysis

Inference-based dominance analysis is applied to micro data containing comprehensive measures of rural and urban incomes in seven major regions of China. Ordinal inequality rankings are estimated for Lorenz curves of household income, per capita household income and square root equivalences scale adjusted income. Regional inequality is shown to be sensitive to the treatment of household size. The lack of reliable regional cost of living measures leads us to propose that entire food expenditure share quantile distributions be used as indicators of differences in well-being within and across regions. The results indicate that statistical rankings of Lorenz dominance and food share dominance are very different indicators of regional disparities in income and welfare in China. One urban region is shown to have been in the unenviable position in 1988 of being at the bottom of the Lorenz dominance ranking and tied for last in terms of food share dominance.     

Interregional Inequalities in Indonesia: A Sectoral Decomposition Analysis for 1975–92

In this paper we examine interregional income inequalities in Indonesia from 1975 to 1992, Williamson's weighted coefficient of variation is used to measure interregional income inequality. We also perform a sectoral decomposition analysis to investigate the extent to which industrial sectors contribute to the overall weighted coefficient of variation. One major finding is that, although interregional income inequality remained fairly stable in non-mining GDP during the study period, it has undergone a significant change in structure. The contribution of the tertiary sector to inequality, though still dominant, has gradually declined. The secondary sector, meanwhile, is playing an increasingly important role, reflecting its growing share of GDP. Inequality is much smaller in consumption expenditure than in non-mining GDP. Its consistently high levels in fixed capital formation reflect the uneven distribution of investments over space in Indonesia.     

Why is inequality higher among the old? Evidence from China

This paper studies income inequality in old age and its development over the life cycle. We show that income is more unequally distributed in old age than in working age. We combine the regression-based inequality decomposition method and the three-step mediating effect test to analyze the transmission of income inequality from initial socioeconomic differences to income inequality in old age. Our study is based on a panel of over 4000 old households from the China Health and Nutrition Survey during 1991–2015. We find that the urban-rural gap and educational inequality are the primary causes of old-age income inequality. The effect of the urban-rural gap is partially mediated by educational inequality. Inequality accumulates with age and is reinforced in old age by the fragmented Chinese public pension system.     

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.     

Income inequality and subjective wellbeing: Panel data evidence from China

Using four waves of longitudinal data from the China Family Panel Studies (CFPS), we examine the effects of income inequality on subjective wellbeing (SWB). We take a dual approach in measuring income inequality, and thus, we examine the effects of inequality using province-level Gini coefficient as well as between-group inequality or identity-related inequality defined as the income gap between migrants without urban household registration identity (hukou) and urban residents. We find negative effects of both province-level income inequality and between-group income inequality on SWB, measured by life satisfaction. Our results also show that the effects of income inequality on SWB is stronger for rural hukou residents compared to urban hukou residents. These findings are robust to alternative ways of measuring SWB and income inequality. In addition, we find evidence suggesting that neighbourhood trust is an important channel through which income inequality operates to reduce SWB. We suggest policies that promote trust in communities with high inequality with a view of addressing the negative effects of inequality on SWB.     

The Influence of Demographics and Household-Specific Price Indices on Consumption-Based Inequality and Welfare: A Comparison of Spain and the United States

Previous research has suggested that inequality is lower in Spain than in the United States when it is based on income. For the present article, both inequality and social welfare are examined, with household consumption expenditures used as a proxy for household welfare. For tractability, equivalence scales depended only on the number of people in the household. Household-specific price indices were used to express the 1990-1991 expenditure distributions in 1981 and 1991 winter prices. Our results reveal that inequality and welfare comparisons are drastically different for smaller and larger households. When all households are considered, the two-country comparison suggests that the income inequality ranking can only be maintained for expenditure distributions when economies of scale are small or nonexistent. However, welfare is always higher in the United States than in Spain. Because inflation during the 1980s in both countries was essentially distributionally neutral, all results appear to be robust to the choice of time period.     

The distribution of ncome in the UK and OECD countries in the twentieth century

Distributional changes are an important part of the economichistory of the OECD countries over the twentieth century. Inthe UK, income inequality in the 1970s was substantially lowerthan 40 years earlier, and is now much higher than in 1979.The pattern of change in the USA has similarities to that inthe UK, but other countries have exhibited significant differences.In order to explain diversity of experience over time, and differencesin income inequality across countries today, we need to recognizethat the distribution of income is subject to a variety of forces,affecting earnings, wealth, and income. These forces includethe policy choices made by governments affecting market incomesand fiscal redistribution. What we need to explain is why insome periods a number of these forces combine to produce episodesof rising, or falling, inequality. Any single theory, such asthat based on a global shift of demand away from unskilled workers,cannot provide a fully adequate explanation.     

Towards a better measure of income inequality in Indonesia

Indonesia has experienced significant economic growth in recent years (on average, 5% in 2000–08), but many people are still living in poverty. Income inequality, as measured by the official Gini coefficient, has also increased. This paper evaluates household income and income inequality in Indonesia, assessing both market and non-market income to reach a more accurate measure of how actual income affects living standards. We find that if household income considers non-market income, income distribution is significantly more balanced, the coefficient of income inequality falls from 0.41 to 0.21 and the income share of the population's poorest deciles increases more than fivefold. The results suggest that market income alone is a misleading measure of income distribution in Indonesia.     

Pollution mitigation,unemployment rate and wage inequality in the presence of agricultural pollution

This paper established a small open general equilibrium model to investigate the effects of the changes of consumers' unit private mitigation expenditure on the unemployment rate and the urban-rural wage inequality etc.. We found that (1) in the capital specific case, the increase of unit private mitigation expenditure will not only increase the urban unemployment rate but also expend the urban-rural wage inequality; (2) in the capital movable case, the conclusions are exactly opposite to that of the capital specific case. And under certain conditions, the increase of unit private mitigation expenditure may improve national income. According to the parameter calibration and numerical simulation results of the relevant macroeconomic data of China in 2017, we also found that (3) the effects of the changes of unit private mitigation expenditure on the urban unemployment rate is greater than that of the urban-rural wage inequality; (4) the influence degree of the changes of unit private mitigation expenditure on the unemployment rate in the capital movable case is greater than that of the capital specific case, but the influence degree of the change of unit private mitigation expenditure on the urban-rural wage inequality in the capital movable case is smaller than that of the capital specific case.     

Decomposing inequality under alternative concepts of resources: Greece 1988

The structure of inequality in Greece is analyzed using the information of a survey which contains both consumption and income data. Due to life-cycle factors and measurement errors, the correlation between the two variables is not very high and, hence, an approximation of the “permanent income” of the population members is attempted. Although the level of inequality of the new distribution is substantially lower than the levels of inequality of either the distribution of consumption expenditure or the distribution of disposable income, the structure of inequality in Greece is only slightly affected by the choice of distribution.     

Reducing China's regional disparities: Is there a growth cost?

While China's growth has been spectacular over the past 30 years, it has masked growing underlying disparities in the regional distribution of income with coastal provinces growing at a much faster rate than the rest of the country, exacerbating already marked differences in per capita income. Policy focused on addressing these growing disparities has had to face the possibility that spreading growth more evenly around the country will require a sacrifice of the national growth rate. Yet there is almost no empirical evidence that this is so and, if it is, how big the required sacrifice is. This paper contributes to filling this gap by analyzing the relationship between aggregate growth and the inequality of regional output distribution. We use a VAR model to simulate the effects over time on growth of a reduction in inequality and also the effects on inequality of an increase in growth. We find, first, that in the long run a more equal distribution can be obtained without a growth sacrifice. Second, in the short run a reduction in inequality reduces growth. Third, in the short and long runs an increase in growth actually reduces inequality.     

Inequality of opportunity in household income,China 2002–2018

This study contributes to the literature on inequality of opportunity (IOp) in China by covering a longer and more recent span of time, employing better measures of given characteristics, and analyzing IOp for household income per capita with comparisons to individual income. Furthermore, it analyzes how IOp differs between the rural- and urban-born, and how IOp changes across birth cohorts and with age. We use 2002, 2013 and 2018 data from the Chinese Household Income Study and focus on income inequality among working-age persons. We find that IOp in China declined, especially between 2013 and 2018. In 2002 the large contributors to IOp were region, hukou type at birth, and parents' characteristics. In 2018 the contributions of region, hukou type at birth and parents' occupation had decreased, but that of parents' education had increased. We find that IOp is larger among those born in rural than urban China. Furthermore, IOP's contribution to total inequality within each birth cohort is highest earlier in individuals' work lives and declines with age. IOp is higher for older than younger birth cohorts, reflecting that younger cohorts have benefited from increased opportunities associated with China's reforms and opening up.     

Village Elections,Accountability and Income Distribution in Rural China

1. Introduction The village election was first envisioned by the late chairman of the National People’sCongress (NPC), Mr Peng Zhen, in the mid-1980s to enhance village governance after the commune system was dissolved in China in the early 1980s. In 1987, the NPC passed a tentative version of The Organic Law of the Village Committee (OLVC), and started a 10 year experiment of village elections. In 1998, the NPC formally passed the law and elections quickly spread to the whole count…