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This paper aims to depict the post-Second World War poverty and inequality trends in Asia, its sub-regions, and individual economies. Efforts are made to explain these trends and explore the interrelationship between growth, poverty, and inequality in Asia. Analytical results confirm significant reductions in poverty across the board due to fast growth, although the benign effect of growth on poverty was offset by worsening distribution in many economies. Looking ahead, Asia is expected to eradicate poverty but likely to continue facing high inequality, particularly as major technology breakthroughs such as artificial intelligence and the internet of things replace more and more labour.

We examine whether structural transformation leads to growth and income inequality in Viet Nam. Using three rounds of the Vietnam Household Living Standards Survey (2002, 2006, and 2010), we estimate re-centered influence functions to construct a decomposition analysis. Our results indicate that Viet Nam continues to experience sustained structural transformation and growth, but this growth is heterogeneous across regions. The growth exhibits pro-rich gains, with returns to agriculture and manufacturing increasing only for the top 10 to 20th percentiles. We also find that such growth increases income inequality in Viet Nam, and change in income inequality is heterogeneous across regions. Differences in growth and income inequality are driven by differences in the rate of industrialisation across regions and by structural effects such as access to seaports. For a more inclusive growth, access to non-farm activities may need to be increased for households that are not in areas with high levels of structural transformation.

This study explores the relationship between inequality and structural transformation by constructing a theoretical model, developing analytical frameworks, and implementing a case study. The general equilibrium model we develop demonstrates that inequality exhibits an inverted U shape as structural change proceeds from onset to completion. Our analytical frameworks enable decomposition of total inequality into sector contributions and a change in total inequality into a component attributable to structural transformation and the other component to concentration or spatial agglomeration. Applying the decomposition frameworks to data from the People's Republic of China yield various interesting findings and more importantly confirms the inverted U shape as predicted by our theoretical model.

This paper estimates income polarization in the People'http://www.adb.org/publications/income-polarization-prc-trends-changess Republic of China (PRC) from 1978 to 2010 and decomposes the estimated polarization by population subgroup. In addition, a framework is proposed to disentangle a change in polarization into a growth and a redistribution component. This framework is then used to quantify the contributions of various income sources to a rise in polarization in the PRC between 2002 and 2007. The analytical results suggest that (1) income polarization exhibited a broadly increasing trend from 1978 to 2010; (2) income polarization was large and rising among rural citizens, while low and declining among urban citizens; polarization of migrants also declined; (3) geographically, income polarization rose in east and particularly central PRC, while west PRC was most polarized with little change over time; and (4) the rise in polarization between 2002 and 2007 was mainly driven by the investment income, followed by transfers. Conversely, business income is polarization-reducing, especially in rural PRC. To a lesser extent, wage is also polarization-reducing, especially among migrants.

This paper proposes a framework for incorporating longitudinal distributional changes into poverty decomposition. It is shown that changes in the Sen-Shorrocks-Thon index over time can be decomposed into two components—one component reflects the progressivity of income growth among the original poor, the other measures the extent of downward mobility experienced by the incumbent poor. The decomposition is applied to appraising poverty trends in China between 1988 and 1996. The results indicate that the proposed decomposition can complement the widely-used growth-distribution decomposition in providing insights into poverty dynamics.

Applying the Shapley decomposition to unit-record household survey data, this paper investigates the trends and causes of poverty in China in the 1990s. The changes in poverty trends are attributed to two proximate causes; income growth and shifts in relative income distribution. The Foster-Greer-Thorbecke measures are computed and decomposed, with different datasets and alternative assumptions about poverty lines and equivalence. Among the robust results are: (i) both income growth and favourable distributional changes can explain China’s remarkable achievement in combating poverty in rural areas in the first half of the 1990s; (2) in the second half of the 1990s, both rural and urban China suffered from rapidly rising inequality and stagnant income growth, leading to a slow-down in poverty reduction, even reversal of poverty trend.

This paper analyzes the evolution of poverty in China from the late 1980s to the late 1990s, employing a version of Shapley decomposition tailored to unit-record household survey data. The changes in poverty trends are attributed to two proximate causes— income growth and shifts in income distribution. Different datasets, poverty lines, poverty measures, and equivalence scales are used to examine the robustness of the results. Potential biases arising from ignoring differential regional prices and inflation are also investigated. Notwithstanding some ambiguities in the results, it is consistently found that rural poverty increased in the second half of the 1990s and adverse distributional changes are the main cause. – poverty ; Shapley decomposition ; unit-record data ; China

This paper examines the distributional impact of globalization on the poor in urban China. Employing the kernel density estimation technique, we recovered from irregularly grouped household survey data the income distribution for 29 Chinese provinces for 1988-2001. Panels of the income shares of the poorest 20, 10 and 5 per cent of the urban residents were then compiled. In a fixed-effect model, two of the central conclusions of Dollar and Kraay (2002)—that ‘the incomes of the poor rise equi-proportionately with average income’ and that trade openness has little distributional effect on poverty—were revisited. Our results lend little support to either of the Dollar-Kraay conclusions, but instead indicate that average income growth is associated with worsening income distribution while globalization in general, and trade openness in particular, raises the income shares of the poor. It is also found that openness to trade and openness to FDI have differential distributional effects. The beneficial effect of trade was not restricted to the coastal provinces only, but also weakened significantly after 1992. These findings are robust to allow for nonlinearity in the effect of globalization and to control for the influence of several other variables. – globalization ; poverty ; China

This paper proposes a semi-parametric method for poverty decomposition, which combines the data-generating procedure of Shorrocks and Wan (2004) with the Shapley value framework of Shorrocks (1999). Compared with the popular method of Datt and Ravallion (1992), our method is more robust to misspecification errors, does not require the predetermination of functional forms, provides better fit to the underlying Lorenz curve and incorporates the residual term in a rigorous way. The method is applied to decomposing variations of urban poverty across the Chinese provinces into three components – contributions by the differences in average nominal income, inequality and poverty line. The results foreground average income as the key determinant of poverty incidence, but also attach importance to the influence of distribution. The regional pattern of the decomposition suggests provincial groupings based not entirely on geographical locations. – poverty ; Shapley decomposition ; China

A considerable literature exists on the measurement of income inequality in China and its increasing trend. Much less is known, however, about the driving forces of this trend and their quantitative contributions. Conventional decompositions, by factor components or by population subgroups, only provide limited information on the determinants of income inequality. This paper represents an early attempt to apply the regression-based decomposition framework to the study of inequality accounting in rural China, using household level data. It is found that geography has been the dominant factor but is becoming less important in explaining total inequality. Capital input emerges as a most significant determinant of income inequality. Farming structure is more important than labour and other inputs in contributing to income inequality across households.

The Chinese economy underwent cyclical fluctuations in growth and inflation in the reform period. Contrasting views exist on the role of money in such fluctuations. This paper assesses these views employing structural VEC models based on the exchange equation. It is found that in the long run money accommodates, rather than causes, changes in output and prices. In the short run, price fluctuations are mostly attributable to shocks that have permanent effects on prices and money but not on real output. These shocks also account for a large proportion of fluctuations in money, and strongly influence the movements of output. – money ; output fluctuation ; price fluctuation ; structural VEC model ; China

This paper represents a first attempt to study China’s business cycles using a formal analytical framework, namely, a structural VAR model. It is found that: (a) demand shocks were the dominant source of macroeconomic fluctuations, but supply shocks had gained more importance over time; (b) the driving forces of demand shocks were consumption and fixed investment in the first cycle of 1985–90, but shifted to fixed investment and world demand in the second cycle of 1991–96 and the post-1997 deflation period; and (c) macroeconomic policies did not play an important part either in initiating or counteracting cyclical fluctuations.

This paper proposes a structural VAR model which extends the frameworks of Hoffmaister and Roldós (2001) and Prasad (1999). The model is then used to analyse the sources of China’s trade balance fluctuations in the period of 1985–2000. Efforts are made to distinguish the forces which underlie the long-run trend in trade balance from those with transitory impacts. The effects of four types of shock are examined—the foreign supply shock, the domestic supply shock, the relative demand shock, and the nominal shock. Among other findings, two emerge as important. First, the movements in China’s trade are largely the result of real shocks. Second, the Renminbi is undervalued, yet changes in the exchange rate bear little on the trade balance. Therefore, monetary measures would not suffice to redress China’s trade ‘imbalance’. – China ; trade balance ; real exchange rate ; structural VAR ; Law of One Price