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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 investigates the impacts of climate change on the People's Republic of China's (PRC) grain output using rural household survey data. We highlight the regional differences of impacts by estimating output elasticities for different grain crops and different regions. Our results indicate that the overall negative climate impacts on the PRC's grain output range from –0.31% to –2.69% in 2030, and from –1.93% to –3.07% in 2050, under different emission scenarios. The impacts, however, differ substantially for different grain crops and different regions. From the perspective of grain crops, for example, modeling results suggest a decrease in rice output by 15.62%–24.26% in 2030 and by 25.95%–45.09% in 2050. Conversely, positive impacts of climate change are reported for both corn and soybean, with corn output increasing by 18.59%–24.27% in 2030 and 32.77%– 49.58% in 2050, and soybean output increasing by 0.48%–5.53% in 2030 and 3.96%–6.48% in 2050. The impacts on wheat output are relatively small. Looking at the regional perspective, modeling results reveal that the impacts of climate change in the northern and central regions of the PRC are positive. Specifically, climate change in Northern PRC is calculated to increase the country's grain output by 2.85%–4.80% in 2030, and 5.30%–8.49% in 2050; while in Central PRC the increases will be 3.53%–4.97% in 2030, and 8.91%–13.43% in 2050. Climate change in South PRC and Northwest PRC is projected to have small positive impacts on the country's grain output. On the other hand, the impacts of climate change are negative in the remaining regions, with reductions in 2030 of 4.10%–8.58% in East PRC, 2.29%–4.05% in Southwest PRC, and 2.58%–2.66% in Northeast PRC.

The impacts of climate change on agricultural production in the People's Republic of China (PRC) are significant, and differ across regions and crops. The substantial regional differences will induce changes in the agricultural interregional trade pattern. In this paper, we investigate the climate change impacts on this trade pattern, using a computable general equilibrium model of multiple regions and multiple sectors. The results indicate that Northwest, South, Central, and Northeast PRC will see increases in the outflows of agricultural products in 2030 and 2050. Conversely, outflows from East, North, and Southwest PRC will decrease. Grain handling and transportation facilities need to be repositioned to address the changes in agricultural trade flows.

The rise of China and India : , The rise of China and India : , کتابخانه دیجیتال و فن آوری اطلاعات دانشگاه امام صادق(ع)

China has been running a large trade surplus with the rest of the world, particularly with the USA and EU. This has caused considerable diplomatic tensions and tremendous pressure on the Chinese currency. Existing analytical studies, however, mostly focus on real exchange rate and income as determinants of China's trade imbalances. Little attention has been given to the role of inflow and outflow of foreign direct investment (FDI). The purpose of this paper is to fill in this gap in the literature by adding FDI to China's trade balance model. Fitting aggregate annual data from 1979 to 2007 to SURE (Seemingly Unrelated Regression Equations) and later ARDL (Autoregressive Distributed Lags) models, we find that although outflow FDI does not play an important role in determining Chinese trade flows and trade balance, inflow FDI contribute significantly to Chinese exports and thus its trade surplus with the rest of the world. Interestingly, devaluation of the Chinese currency Yuan is found not to affect Chinese trade balance. We also find that both Chinese income and the income of the world play important roles in Chinese trade imbalance. Finally, we find that Chinese trade imbalance is stable.

There are alternative definitions of vulnerability to poverty. Most researchers prefer to define vulnerability as the probability of a household or individual falling into poverty in the future. Based on this definition and using household survey panel data from rural China, this paper attempt to assess the extent to which we can measure vulnerability to poverty. The assessment is based on comparisons between predicted vulnerability and actually observed poverty. We find that the precision of prediction, first, varies depending on the vulnerability line; our results suggest setting the line at 50 per cent in order to improve predictive power. Second, precision depends on how permanent income is estimated. Assuming log-normal distribution of income, it is preferable to use past weighted average income as an estimate of permanent income rather than using regressions to gage permanent income. And third, prediction precision depends on the chosen poverty line. More accurate measurement of vulnerability to poverty is obtained with a higher poverty line of US$2 instead of US$1.

By exploring the export performances and specialization patterns of China and India, we assess their trade competitiveness and complementarity vis-à-vis each other as well as with the rest of the world. Our analysis indicates that (i) India faces tough competition from China in the third markets especially in clothing, textile and leather products; (ii) there is a moderate potential for expanding trade between the two countries; (iii) China poses a challenge for the East Asian economies, the US, and most of the European countries especially in medium-technology industries; (iv) India appears to be a competitor mainly for its neighbouring South Asian countries; and (v) complementarity exists between the imports of China and India, and the exports of the US, some European states and East Asian countries, especially Japan, Korea, Malaysia, Singapore and Thailand, implying opportunities for trade expansion; and finally (vi) the export structure of China is changing with the exports of skill intensive and high-technology products increasing and those of labour-intensive products decreasing gradually. This suggests that challenges created by China in traditional labour-intensive products might reduce in the long run.

The financial intermediation-growth nexus is a widely studied topic in the literature of development economics. Deepening financial intermediation may promote economic growth by mobilizing more investments, and lifting returns to financial resources, which raises productivity. Relying on provincial panel data from China, this paper attempts to examine if regional productivity growth is accounted for by the deepening process of financial development. Towards this end, an appropriate measurement of financial depth is constructed and then included as a determinant of productivity growth. It finds that a significant and positive nexus exists between financial deepening and productivity growth. Given the divergent pattern of financial deepening between coastal and inland provinces, this finding also helps explain the rising regional disparity in China.

We use large survey data sets of firms provided by the World Bank for China, India, and Brazil—Investment Climate Surveys—to address the important question: what determines the locational choice of firms among cities in these countries. We find that capital cities in all countries are attractive for firms to locate. In India and China, labour-intensive firms tend not to locate in mid-sized or large cities, when compared with smaller ones, perhaps due to higher wage, training and attrition costs. Labour regulations both in India and China deter firms from locating in the larger cities, but not in Brazil. Exporter firms prefer to locate in large cities in these two countries, but not so in the largest cities of Brazil. Finally, while the size of a firm has no impact on its location decision in China, large firms in India prefer to locate in the largest cities, but not in mid-sized cities. Proximity to inputs within the city has a positive impact on firm location. The post-reform firms in China tend to locate in the large cities whereas in the case of India, post-1991 firms refrain from locating in the mid-sized or large cities. These findings have important policy implications for urban governance in these countries, which are summarized in the paper. – India ; China ; Brazil ; location choice ; industry location ; firm location

This paper depicts the trend of regional inequality in rural China for the period 1985-2002. The total inequality is decomposed into the so-called within- and between-components when China is divided into three regional belts (east, central and west). A regression-based accounting framework is then used to explore root sources of the rising inequality. Policy implications are discussed.

This paper proposes a decomposition framework for quantifying contributions of the determinants of poverty to spatial differences or temporal changes in poverty. This framework is then applied to address the issue why poverty incidence is higher in inland than in coastal China. The empirical application requires household or individual income observations which, generally speaking, are not available. Thus, a data-generation method developed by Shorrocks and Wan is introduced to construct such observations from grouped income data. It is found that inland China is poorer than coastal China, mainly due to lower efficiency in resource utilization not to less endowment of resources. Also, trade became poverty-reducing in coastal China in the late 1990s but remained poverty-inducing in inland China. Policy implications are briefly discussed.

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.

A comparative study of the public distribution systems of foodgrains in India and China is expected to reveal lessons and experiences that are valuable to policymakers. This is particularly important for developing countries in their endeavour to ensure food security. This paper undertakes such an exercise. The main features and developments of the two public distribution systems are first highlighted. This is followed by a comparative analysis of their similarities and differences. The role of public foodgrain distribution systems in ensuring food security is then evaluated. Finally, policy implications are drawn.

Food price increases and the introduction of radical social welfare and enterprise reforms during the 1990s generated significant changes in the lives of urban households in China. During this period urban poverty increased considerably. This paper uses household level data from 1986 to 2000 to examine what determines whether households fall below the poverty line over this period and investigates how the impact of these determinants have changed through time. We find that large households and households with more non-working members are more likely to be poor, suggesting that perhaps the change from the old implicit price subsidies, based on household size, to an explicit income subsidy, based on employment, has worsened the position of large families. Further investigation into regional poverty variation indicates that over the 1986-93 period food price increases were also a major contributing factor. Between 1994 and 2000 the worsening of the economic situation of state sector employees contributed to the poverty increase. – poverty ; China

China’s recent accession to the WTO is expected to accelerate its integration into the world economy, which aggravates concerns over the impact of globalization on the already rising inter-regional income inequality in China. This paper discusses China’s globalization process and estimates an income generating function, incorporating trade and FDI variables. It then applies the newly developed Shapley value decomposition technique to quantify the contributions of globalization, along with other variables, to regional inequality. It is found that (a) globalization constitutes a positive and substantial share of regional inequality and the share rises over time; (b) domestic capital, however, emerges as the largest contributor to regional inequality; (c) economic reform characterized by privatization exerts an increasingly significant impact on regional inequality; and (d) the relative contributions of education, location, urbanization and dependency ratio to regional inequality have been declining. – globalization ; inequality decomposition ; Shapley value ; China

The purpose of this paper is to develop two poverty decomposition frameworks and to illustrate their applicability. A given level of poverty is broadly decomposed into an overall inequality component and an overall endowment component in terms of income or consumption determinants or input factors. These components are further decomposed into finer components associated with individual inputs. Also, a change in poverty is decomposed into components attributable to the growth and redistributions of factor inputs. An empirical illustration using Chinese data highlights the importance of factor redistributions in determining poverty levels and poverty changes in rural China.

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 argues that the conventional approach of data averaging is problematic for exploring the growth–inequality nexus. It introduces the polynomial inverse lag (PIL) framework so that the impacts of inequality on investment, education, and ultimately on growth can be measured at precisely defined time lags. Combining PIL with simultaneous systems of equations, we analyze the growth–inequality relationship in postreform China, finding that this relationship is nonlinear and is negative irrespective of time horizons. – inequality ; growth ; polynominal inverse lag

Relying on a recently developed decomposition framework, this paper explores spatial distribution of innovation capability in China. It is found that at the regional level, China's inequality in innovation capability increased from 1995 to 2004. At the provincial level, the inequality decreased from 1995 to 2000, but increased from 2000 to 2004. Location, industrialization and urbanization, human capital, and openness (foreign direct investment) are significant contributors to the inequality in innovation capability. Unbalanced development in high-tech parks exerts a growing explanatory power in driving innovation disparity, which implies that institutional factor plays a direct role.

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

Using a CGE model (PRCGEM) updated to 2002, the paper explores how WTO membership could affect earnings in 40 industries across 31 regions (and 8 regional blocks) of China during the period 2002 2007.Taking into account labour movement between regions within China, the direct contribution of WTO membership to overall economic growth and development is predicted to be small, with a rise in real GDP of only 6.48% short term and 5.6% long term. However, structural economic change and the WTO shock should increase regional output, especially in the established coastal economies.Regional labour movement is found to increase 69.2% at the completion of economic structural reforms.A slight decrease in the Gini coefficient for income inequality is also anticipated.

Using a CGE model, PRCGEM, with an updated 2002 I/O table, this paper explores how earnings will be affected in each of 40 separate industries across 31 regions (or 8 regional blocks) of China for the period 2002–07. Labour movement between regions within China is considered. It is found that the direct contribution of WTO membership is small to the whole economy in terms of growth and development. Real GDP will rise only 6.48 per cent (5.6 per cent) in the pure WTO short-run (long-run) shock. Full economic structure change besides WTO shock makes regional output better-off, especially the coastal regions where the economies are well established. Regional labour movement increases by 69.2 per cent in the long-run closure of full economic structural change during the transition period. When regional labour movement is considered, it is found that the Gini coefficient is slightly decreased.

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

China’s recent accession to the WTO is expected to accelerate its integration into the world economy, which aggravates concerns over the impact of globalization on the already rising inter-region income inequality in China. This paper discusses China’s globalization process and estimates an income generating function, incorporating trade and FDI variables. It then applies the newly developed Shapley value decomposition technique to quantify the contributions of globalization, along with other variables, to regional inequality. It is found that (a) globalization constitutes a positive and substantial share to regional inequality and the share rises over time; (b) capital is one of the largest and increasingly important contributor to regional inequality; (c) economic reform characterized by privatization exerts a significant impact on regional inequality; and (d) the relative contributions of education, location, urbanization and dependency ratio to regional inequality have been declining.

This paper analyses the role of exchange rates in the competition for FDI. Based on the assumption that two countries compete for FDI from the same source country, the paper shows explicitly that the relative FDI of one country is determined by the relative real exchange rate between its currency and that of the source country. The theoretical result suggests that, if the currency of one FDI recipient country appreciates against the source country more than that of its rival, its FDI inflows will decrease while the competing country’s FDI will increase. Using data on Japan’s FDI in nine Asian manufacturing sectors from 1981 to 2002, the paper also examines the theoretical conclusion in the context of the competition between China and ASEAN-4 (Indonesia, Malaysia, the Philippines and Thailand). Empirical results show that the relative exchange rate is a statistically significant factor determining the relative inflows of Japanese FDI for manufacturing as a whole and for such sub-sectors as textiles, food, electronics, transportation equipment, and others. Exchange rate polices of the ASEAN-4 countries played a critical role in dynamically reshaping the geographic distribution of Japan’s FDI in Asia. – FDI ; exchange rate ; China ; ASEAN-4

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