Poverty, inequality, and growth in urban China, 1986–2000

Although urban China has experienced spectacular income growth over the last two decades, increases in inequality, reduction in social welfare provision, deregulation of grain prices, and increases in income uncertainty in the 1990s have increased urban poverty. Using a large repeated cross section household survey from 1986 to 2000, this study maps the changes in income, inequality, and poverty over the fifteen-year period and investigates the determinants of poverty. We find that the increase in poverty in the 1990s is associated with the increase in the relative food price and the need to purchase items that were previously provided free or at highly subsidized prices by the state, i.e., education, housing and medical care. In addition, the increased saving rate of poor households, which is due to an increase in income uncertainty, contributes significantly to the increase in poverty measured in terms of expenditure. Journal of Comparative Economics 33 (4) (2005) 710–729.     

Poverty dynamics in Hungary during the transformation1

At the time of transoformation in Hungary, poverty was one of the most discussed public questions. This paper focuses mainly on the longitudinal aspect of poverty. It describes the development of the poverty figures by the application of different poverty concepts. The dual nature of poverty is both poverty. We aim to dispel some of the doubts about poverty, and portray, the portray the different social groups experiencing permanent and transitory poverty.     

Income inequality, democracy and growth reconsidered

Persson and Tabellini (Persson, T., Tabellini, G., 1992a. Growth, distribution and politics. Eur. Econ. Rev. 36, 593–602; Persson, T., Tabellini, G., 1992b. Growth, distribution and politics. In: Cukierman, A., Hercowitz, Z., Leiderman, L. (Eds.), Political Economy, Growth, and Business Cycles. MIT Press, Cambridge, MA, pp. 3–22; Persson, T., Tabellini, G., 1994. Is inequality harmful for growth? Am. Econ. Rev. 84, 600–621) as well as Alesina and Rodrik (Alesina, A., Rodrik, D., 1992. Distribution, political conflict, and economic growth. In: Cukierman, A., Hercowitz, Z., Leiderman, L. (Eds.), Political Economy, Growth, and Business Cycles. MIT Press, Cambridge, MA, pp. 23–50; Alesina, A., Rodrik, D., 1994. Distributive politics and economic growth, Q. J. Econ. 109, 465–490) have argued that income inequality reduces economic growth rates among democracies because it promotes distributional struggles. In this paper I question the supportive evidence for a number of reasons. Measures of income distribution and democracy are unreliable and permit only very tentative conclusions. Changes in data sources or recoding of some influential cases affect results. It is questionable whether equality effects on growth apply only within democracies, as a median voter interpretation of this relationship should make one expect. The general idea that distributional struggle hurts the growth prospects of nations, however, receives some empirical support.     

Poverty,inequality and ethnic minorities in Vietnam

The present study examines how and why ethnic minorities are poorer than ethnic majorities in Vietnam using the Vietnam Household Living Standards Survey data for 2002 and 2004. First, the analysis confirms that households belonging to the ethnic minority groups are not only poorer but also more vulnerable to various shocks than those in the ethnic majority groups, namely the Kinh and the Chinese. Second, household composition (e.g., dependency burden), education, land holding and location are important determinants of expenditure and poverty, whilst there is some diversity among different ethnic groups. Finally, the decomposition analyses reveal that the ethnic minorities are poorer not necessarily because they have more disadvantaged household characteristics (e.g., educational attainment or location), but, more importantly, because the returns to the characteristics are much lower for ethnic minorities than for the majorities. Government policies to reduce structural differences between ethnic majorities and minorities are imperative to address the disparities in returns to endowments between them.     

Unfair inequality and growth*

Fighting against economic inequality is one fundamental social goal in the agendas of most governments. However, recent studies highlight that people actually prefer unequal societies, as they accept inequality generated by an individual's effort and wish to reduce only unfair inequality (generated by factors beyond an individual's control). This distinction might help to explain the fundamental unsolved question about whether inequality is good or bad for growth: unfair inequality (UI) could be growth-deterring, while fair inequality (FI) might be growth-enhancing. We derive a reduced-form growth equation from a stylized overlapping-generations model with human capital that includes FI, UI, and poverty. Then, using an instrumental variable approach, we show for alternative samples and inequality measures at the worldwide level that the estimated coefficient associated with UI is always negative, while the coefficient of total inequality increases when UI is included in the regression. Moreover, we find that poverty mediates this relationship because the higher the poverty rate, the smaller the impact of either type of inequality on growth.     

Poverty among ethnic minorities: the transition process,inequality and economic growth

This article investigates the process of reducing poverty in ethnic minority households. Using two recent Vietnam household surveys, we find that ethnic minority households are more likely to be persistently poor and less likely to be persistently non-poor than ethnic majority households. The within-group component generated by the variation in income within each ethnicity group explains more than 90% of the change in total inequality. Income redistribution plays an important role in decreasing the poverty gap and decreasing poverty severity. Different ethnic groups have different poverty patterns, which should be noted when designing policies to alleviate poverty and inequality.     

The impact of the informal economy on R&D,wage inequality and economic growth

We extend the existing research and development (R&D) growth literature by focusing on the short–medium–long run effects of the informal sector on R&D intensity, wage inequality and economic growth, and by considering 18 OECD countries between 1990 and 2008. We show that: the steady state is unique and stable; the share of informal economy (IE) in production affects negatively R&D intensity and wage equality; Nordic countries have the lowest share of IE in production, while Mediterranean countries have the highest share of IE, wage inequality and R&D intensity but R&D spillovers are lower.     

Behind rising inequality and falling growth

This paper investigates why the upsurge of top income shares has coincided with economic slowdowns in the US since the late 1970s. I argue that a fast-growing unearned income from ‘wealth residual’ – the unexplained increase in wealth that is not accompanied by any increase in real output – lies behind them. To support this hypothesis, I measure wealth residual from the national accounts and associated statistics, and then perform a set of panel regressions using a comprehensive panel dataset of the US at the state level. The estimation results demonstrate that the rapid growth of wealth residual during the last four decades has contributed to a co-evolution of fast-growing inequality and falling growth.     

Education, inequality and transition

I consider evidence on differences in access to education and in learning achievement within the countries of Central and Eastern Europe and the former Soviet Union. The situation inherited from the communist period is first summarized: there were some significant disparities with, for example, family background having a strong association with tertiary enrolments, as in Western countries. Analysis of the transition period focuses on differences in access and achievement associated with household income and geographic location. Disparities are not the same across the region; in some countries, such as Russia, there are clear grounds for serious concern, but it is unlikely that any country has cause for complacency.     

Income inequality and economic growth

Despite the extensive existing literature on income inequality and economic growth, there remains considerable disagreement on the effect of inequality on economic growth. Existing literatures find either a positive or a negative relationship. In this paper, we attempt to theoretically examine that relationship with a stochastic optimal growth model. We make the disagreement clear within a single model. We conclude (i) that both are possible – that is, higher inequality can retard growth in the early stage of economic development, and can encourage growth in a near steady state, (ii) that income redistribution by high income tax does not always reduce income inequality. Income inequality can be reduced by higher income tax in a near steady state, but it cannot be reduced in the early stage of economic development, and (iii) that two government polices – rapid economic growth and low income inequality – can be achieved by low income tax in the early stage of economic development, but both cannot be achieved simultaneously in a near steady state.     

Fiscal decentralization and political centralization in China: Implications for growth and inequality

China's current fiscal system is largely decentralized while its governance structure is rather centralized with strong top-down mandates and a homogeneous governance structure. Due to large differences in initial economic structures and revenue bases, the implicit tax rate and fiscal burdens to support the functioning of local government vary significantly across jurisdictions. Regions initially endowed with a broader nonfarm tax base do not need to rely heavily on preexisting or new firms to finance public goods provision, thereby creating a healthy investment environment for the nonfarm sector to grow. In contrast, regions with agriculture as the major economic activity have little resources left for public investment after paying the expenses of bureaucracy. Consequently, differences in economic structures and fiscal burdens may translate into a widening regional gap. Journal of Comparative Economics 34 (4) (2006) 713–726.     

International intellectual property rights: Effects on growth, welfare and income inequality

What are the effects of strengthening developing countries’ protection for intellectual property rights on economic growth and income inequality in the global economy? To analyze this question, we develop a two-country R&;D-based growth model with wealth heterogeneity. In this growth-theoretic framework, we show that strengthening patent protection in either country increases economic growth and income inequality in both countries. Furthermore, we derive the Nash equilibrium level of patent breadth and find that it is sub-optimally low relative to globally optimal patent breadth due to the positive externality effects that are captured by a spillover parameter.     

Poverty decompositions with counterfactual income and inequality dynamics

Traditional poverty accounting decomposes changes in a country's poverty headcount ratio into changes in income and inequality. We argue that this approach is unsatisfactory from the perspective of policy analysis because it compares a country in two points of time without taking the country's initial situation, and hence its potential for poverty reduction, into account. We thus suggest comparing traditional poverty decompositions with a counterfactual situation. This counterfactual indicates what a country starting from its initial situation could be expected to achieve in terms of income, inequality, and, hence, poverty developments. We construct those counterfactuals by modeling income and inequality trends characterized by convergence and a “Kuznets” relationship between inequality and development. Parameters in those relationships are estimated using PovcalNet survey data from 144 countries and we construct our counterfactual poverty predictions for 71 developing countries. While there is overall a tight relationship between actual developments and counterfactuals, we identify several cases, where both deviate from each other and discuss the policy implications. We also check for commonalities in differently performing countries and find that those who fell particularly short of expectations often underwent political transition and state fragility.     

Explaining the increase in inequality during transition

This paper attempts to explain the increase in inequality that has been observed in all transition economies by constructing a simple model of change in composition of employment during the transition. The change consists of the 'hollowing-out' of the state-sector middle class as it moves into either the 'rich' private sector or the 'poor' unemployed sector. The predictions of the model are contrasted with the empirical evidence from annual household income surveys from six transition economies (Bulgaria, Hungary, Latvia, Poland, Russia and Slovenia) over the period 1987-95. We find that the most important factor driving overall inequality upwards was increased inequality of wage distribution. The non-wage private sector contributed strongly to inequality only in Latvia and Russia. Pensions, paradoxically, also pushed inequality up in Central Europe, while non-pension social transfers were too small everywhere and too poorly focussed to make much difference.     

Income inequality,unemployment, and poverty in Nigeria: a vector autoregressive approach

The main features of poverty are low levels of consumption and income, a fact‐of‐life in most African countries. This paper analyzes the fundamental trends of per capita income, government capital expenditure, the human development index, and the rate of unemployment in the Nigeria. A vector autoregressive model finds that: A reduced unemployment rate improves human development and consequently reduces poverty. As growth in public capital expenditure rises, unemployment falls and the human development index improves. Therefore, infrastructure‐based policies, which initially reduce unemployment, will also improve the living conditions of Nigerians in the end.     

Economic growth, skill-biased technical change and wage inequality: A model and estimations for the US and Europe

In recent literature skill-biased technical change has been viewed as a major cause for wage inequality. Some modelling and presentation of stylized facts have been undertaken for US time series data. A preliminary study of wage inequality in a model with knowledge as input in an aggregate production function has been presented by Riddell and Romer [General Purpose Technologies and Economic Growth, 1998, MIT Press]. Although some important forces determining wage inequality are widely accepted we know little about the quantitative impact of each source and differences across countries. We present a growth model of the Romer type with innovation-based technical change and two skill groups where the growth of knowledge, the relative supply of the two skill groups, externalities and substitution effects among the two groups are the driving forces for wage inequality. We undertake estimates for US time series data and contrast those estimates with results from some European countries. In particular, we compare parameter estimations for US and German time series data. The paper concludes that there is less wage inequality across skills in Europe in contrast to the US on the macroeconomic level. But, considering disaggregated data we observe some increases in inequality for Germany, too. Although our model reveals important variables for the explanation of wage inequality there may, however, also be other factors, such as trade unions, which have impacted the wage spread.     

On the dynamics of inequality in the transition

Inequality has increased in many of the transition economies. At the same time, spending on education has declined. In this paper we survey the factors driving these changes. We then set up a small general equilibrium model to simulate the effect of different policy choices on the path of inequality over the transition. We show that the policies selected in Central Europe engender a relatively rapid spike in inequality but with a Kuznets curve. In the simulations that broadly capture features of the policy regime dominating in Russia and the FSU, we find no Kuznets curve. We then turn to the longer run and look at the way in which both trade liberalization and technological and organizational change are likely to affect the relative demand for types of labour. We show how substantial technological and organizational change - obvious features of transition - can result in raising inequality. Persistence in inequality can be expected to depend critically on the pace at which the acquisition of skills takes place in the economy - and, hence, on the evolution of the educational system. As such, policies aimed at raising adaptability - such as quality educational systems - can be expected to dampen the increase in wage inequality.     

Foreign direct investment,growth and income inequality in less developed countries

How does foreign direct investment (FDI) affect economic growth in less developed countries (LDCs)? What is its association with changes in the income distribution? This paper empirically examines these issues within a cross section of less developed countries between 1970 and 1989. FDI is positively associated with economic growth within this sample of countries. However, there is no strong association between FDI and changes in income inequality within these same countries and over this same time period. Hence, there is no evidence that FDI is increasing income inequality within this group of LDCs.     

Status-seeking behavior,the evolution of income inequality,and growth

Using an overlapping generations model, this paper investigates the implications of status-seeking behavior, induced by preferences for relative income, for the evolution of income inequality. When average income rises, an individual’s marginal utility of their own income may increase (keeping up with the Joneses, or KUJ), or decrease (running away from the Joneses, or RAJ). It is shown that income inequality is shrinking over time in the KUJ economy, whereas it is expanding in the RAJ economy. We also explore the implications for long-run growth and inequality, in the existence of both KUJ and RAJ agents. I am truly grateful to Koichi Futagami for his encouragement and guidance in writing this paper. I have benefitted from comments by an anonymous referee, Been-Lon Chen, Giacomo Corneo, Akiomi Kitagawa, Kazuo Mino, Kazuhiro Yuki, and seminar participants at Osaka University, the 2006 Japanese Economic Association Autumn Meeting at Osaka City University, the Far Eastern Meeting of Econometric Society 2007 at Taipei, SER Conference 2007 at Singapore, and the European Meeting of Econometric Society 2007 at Budapest. All remaining errors are, of course, my own. The financial support from JSPS Research Fellowships for Young Scientists is greatly acknowledged.     

Inequality and growth: What comes from the different inequality measures?

The objective of the paper is to verify if income inequality impedes the growth rates in OECD countries in the period of 1990–2014 and to reveal whether the choice of the income inequality measure determines the sign and the strength of the estimated relationship. We use system GMM to estimate parameters of a dynamic panel growth model. The research indicates that income inequality negatively affects economic growth. We also find evidence that various measures of inequality bring the different scale of consequences for economic growth, with measures that give more weight to the middle part of the distribution being the weakest predictor of GDP growth. Simultaneously, we present the test of weak instruments, which helps to explain these differences.