The spatial-temporal hierarchy of regional inequality of China

Li, Yingru; Wei, Yehua Dennis

doi:10.1016/j.apgeog.2009.11.001

Cited by 226 publications

(164 citation statements)

References 42 publications

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“…Whilst rural income levels have improved in many regions, especially those close to large urban centres, urban-rural inequalities in income and uncoordinated urban-rural development have increased in more developed regions (Liu, 2009;Long et al, 2011). Indeed, there are significant spatial variations in the experience and impact of economic transition in China, both between urban and rural regions, and within rural regions (Li and Wei, 2010;Liu, 2009;Wan et al, 2007;Wang and Li, 2008;Wei, 2007).…”

Section: Introductionmentioning

confidence: 99%

Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages

et al. 2012

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Section: Introductionmentioning

confidence: 99%

Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages

et al. 2012

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“…It is noted that the mean values of the spatial field evidenced a drop from eastern coastal China to central China, and then to western China in both 2000 and 2012. These results correlate with the overall level of economic development in those three areas, with respect to which the eastern region is still far ahead of the central and western regions [22]. Note: • Coefficient is defined as the ratio of the standard deviation to the mean, which is a statistical index commonly employed in measuring regional inequality.…”

Section: Inequality In China At Three Geographical Scalesmentioning

confidence: 76%

“…In addition, the largest three urban agglomerations in China-the Yangtze River Delta, the Pearl River Delta, and Beijing-Tianjin-Hebei-are also located in the eastern region, which is constructive in stimulating high-speed socioeconomic growth in the region, but which also poses significant threats in terms of increasing disparity. A number of scholars argue that the distribution of municipalities, urban agglomerations, provincial capital cities, and special resource cities have a fundamental influence on the overall regional inequality of China [22,48].…”

Section: Intra-regional Inequality In the Three Regions Studiedmentioning

confidence: 99%

“…Secondly, though more studies have taken a spatial data analytical approach, the majority of the existing work undertaken on the subject has applied traditional statistical models in their analysis of regional inequality. In this regard, we believe that the use of intuitive and visualised presentations of regional inequality, graphically presented through isarithmic maps, should be further enhanced [22]. The third issue evidenced in previous work on regional inequality lies in the different-and even opposite-conclusions yielded by the diversity of analysis scales, measuring indicators and methods, statistical data, as well as urban definitions [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Multi-Scale Analysis of Regional Inequality based on Spatial Field Model: A Case Study of China from 2000 to 2012

Guan²,

et al. 2015

IJGI

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A large body of recent studies-from both inside and outside of China-are devoted to the understanding of China's regional inequality. The current study introduces "the spatial field model" to achieve comprehensive evaluation and multi-scale analysis of regional inequality. The model is based on the growth pole theory, regional interaction theory, and energy space theory. The spatial field is an abstract concept that defines the potential energy difference that is formed in the process of a regional growth pole driving the economic development of peripheral areas through transportation and communication corridors. The model is able to provide potentially more precise regional inequality estimates and generates isarithmic maps that will provide highly intuitive and visualized presentations. The model is applied to evaluate the spatiotemporal pattern of economic inequality in China from 2000 to 2012 amongst internal eastern-central-western regions as well as north-south regions at three geographical scales-i.e., inter-province, inter-city, and inter-county. The results indicate that the spatial field model could comprehensively evaluate regional inequality, provide aesthetically pleasing and highly adaptable presentations based on a pixel-based raster, and realise the multi-scale analyses of the regional inequality. The paper

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“…Many studies report that trade openness has played an important role in regional inequality (Jian, Sachs, and Warner 1996;Xu and Zou 2000;Fujita and Hu 2001;Zhang and Zhang 2003;Fu 2004;Kanbur and Zhang 2005;Fu 2007;Wan, Lu, and Chen 2007;Wan 2008;Gries and Redlin 2009;Pradhan 2009;Cai, Chen, and Zhou 2010;Wei 2010;Ezcurra and Rodríguez-Pose 2013;Mah 2016). Besides, FDI is found to be positively correlated with regional inequality (Sun and Chai 1998;Fujita and Hu 2001;Sun and Parikh 2001;Ng and Leung 2002;Zhang and Zhang 2003;Fu 2004;Nissanke and Thorbecke 2006;Ran, Voon, and Li 2007;Tsui 2007;Wan 2007;Wan, Lu, and Chen 2007;Wan 2008;Wei, Yao, and Liu 2009;Li and Wei 2010;Tian et al 2011). Wan, Lu, and Chen (2007) suggest that globalization is the most important determinant of regional inequality; however, a few studies argue that globalization exerts no, little, or even negative effect on inequality (Wei and Wu 2001;Cai, Chen, and Zhou 2010;Chen and Groenewold 2010;Yu et al 2011;Mah 2016).…”

Section: Globalizationmentioning

confidence: 99%

The Impacts of Financial Development, Urbanization, and Globalization on Income Inequality: A Regression-Based Decomposition Approach

Lee

Cheong

2017

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Asian Development Bank InstituteThe Working Paper series is a continuation of the formerly named Discussion Paper series; the numbering of the papers continued without interruption or change. ADBI's working papers reflect initial ideas on a topic and are posted online for discussion. ADBI encourages readers to post their comments on the main page for each working paper (given in the citation below). Some working papers may develop into other forms of publication. The views expressed in this paper are the views of the author and do not necessarily reflect the views or policies of ADBI, ADB, its Board of Directors, or the governments they represent. ADBI does not guarantee the accuracy of the data included in this paper and accepts no responsibility for any consequences of their use. Terminology used may not necessarily be consistent with ADB official terms.Working papers are subject to formal revision and correction before they are finalized and considered published.Asian Development Bank Institute Kasumigaseki Building, 8th Floor 3-2-5 Kasumigaseki, Chiyoda-ku Tokyo 100-6008, JapanTel:+81-3-3593-5500 Fax:+81-3-3593-5571 URL:www.adbi.org E-mail: info@adbi.org AbstractThis paper aims to study the impacts of financial development, urbanization, and globalization on income inequality in the People's Republic of China. It applies the regression-based inequality decomposition approach on a panel dataset, which is aggregated from a unique database of financial development so as to quantify the relative contributions of these three factors, along with other variables such as physical capital and human capital, to income inequality. The findings suggest that financial development, urbanization, and globalization exert a positive impact on income. However, the contributions of urbanization, foreign investment, physical capital, and human capital to regional inequality are positive. Moreover, it is found that financial development is crucial for promoting inclusive growth, since it can stimulate economic growth and is found to be an equalizing factor of inequality.

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The spatial-temporal hierarchy of regional inequality of China

Cited by 226 publications

References 42 publications

Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages

Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages

Multi-Scale Analysis of Regional Inequality based on Spatial Field Model: A Case Study of China from 2000 to 2012

The Impacts of Financial Development, Urbanization, and Globalization on Income Inequality: A Regression-Based Decomposition Approach

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