Regional income inequality in China revisited: A perspective from club convergence

Tian, Xu; Zhang, Xiaoheng; Zhou, Yingheng; Yu, Xiaohua

doi:10.1016/j.econmod.2016.02.028

Cited by 121 publications

(70 citation statements)

References 35 publications

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“…The economic development, however, is stunningly disparate across regions, with the coastal regions such as Shanghai and Shenzhen benefiting from it disproportionally, particularly during the first two decades of the reform (Lu and Wang, ). This is evidenced by the fact that the ratio of real GDP per capita in Shanghai (the richest province) to Guizhou (the poorest province) peaked at 16 in 2002 (Tian et al ., ). Moreover, the GDP of Shenzhen, the starting point of the reform, has grown from less than RMB 0.2 billion (about $US29 million) in 1979 to RMB 2007.9 billion (approximately $US292 billion) in 2016, equivalent to an annualised growth rate of over 28 percent.…”

Section: Institutional Backgroundmentioning

confidence: 97%

Locational effects and the cost of corporate bonds: the role of information

Huang

et al. 2019

Accounting & Finance

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The public yield spreads of bonds vary widely between Chinese provinces/ municipalities, with the average for the highest province double that of the lowest one. Although we find that these patterns are mainly attributable to economic and legal conditions, locational effects like geographic distance and public firm credit ratings also appear to be contributory. We show that these effects are induced by different regional informational environments and are robust to controlling for potential endogenous location choices.

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Section: Institutional Backgroundmentioning

confidence: 97%

Locational effects and the cost of corporate bonds: the role of information

Huang

et al. 2019

Accounting & Finance

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“…Many studies of regional inequality use these wrong population denominators, as first shown by Li and Gibson (2013), with this issue still ongoing (e.g., Tian, Zhang, Zhou, & Yu, 2016), and so it may have contributed to the perceptions of rising regional inequality. These wrong data counted where people were registered to live rather than where they actually lived (and where their activities added to GDP).…”

Section: Introductionmentioning

confidence: 99%

Regional inequality in urban China, allowing for spatial cost of living differences: Evidence from a hedonic analysis of apartment prices

Gibson

Boe‐Gibson

2019

Asia & Pacific Policy Stud

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Studies of inequality in China typically ignore cost of living differences between areas. Under the Balassa-Samuelson effect, nontradeables cost more in richer areas, so nominal inequality exceeds real inequality. This especially matters in China, where spatial cost of living differences should grow with recent development of urban housing markets. We use new data on apartment prices in 104 cities in China to develop housingrelated spatial deflators. The level of spatial inequality in urban China is overstated by 27% if cost of living differences are ignored. Our hedonic analysis of 41,000individual apartment sales shows that most price variation is between areas, rather than from features of individual apartments. The dominant trend in the reform era is for regional inequality in China to decline, contrary to the common perceptions. In nominal terms, the Theil index for interprovincial inequality in 2016 is just 46% of its 1978 level. The current results imply that the fall in inequality in real terms would be even greater.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…In general, the income of an individual or household is closely associated with the individual or household owning human, natural, material, and social capital. Existing studies related to capital and income inequality examine the effect of human, material, social, and natural capital on income inequality in China (Lu, Ruan, & Lai, ; Tian, Zhang, Zhou, & Yu, ; Xing, Fan, Luo, & Zhang, ), but none have investigated the effect of these four different forms of capital on income inequality in one economic model.…”

Section: Introductionmentioning

confidence: 99%

Income inequality among minority farmers in China: Does social capital have a role?

Liu

Paudel

et al. 2018

Review Development Economics

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We used recently available household panel data collected by China's National Bureau of Statistics to examine the effects of natural, human, material, and social capital on income inequality among minority farmers in China's Xinjiang Province between 2011 and 2012. Results obtained from panel quantile regression and correlated random effects’ models show that income inequality and the poverty of ethnic farmers have been decreasing to some extent. Results also indicated that human capital exacerbates income inequality among the minorities, whereas the effect of natural capital on income inequality is not evident. Social and material capital reduce income inequality among ethnic minorities. Results from the decomposition of the Gini coefficient indicate that material and social capital contribute to a substantial majority of the income inequality in the region.

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Regional income inequality in China revisited: A perspective from club convergence

Cited by 121 publications

References 35 publications

Locational effects and the cost of corporate bonds: the role of information

Locational effects and the cost of corporate bonds: the role of information

Regional inequality in urban China, allowing for spatial cost of living differences: Evidence from a hedonic analysis of apartment prices

Income inequality among minority farmers in China: Does social capital have a role?

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