2018
DOI: 10.3390/su10114179
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Factors Aggregating Ability and the Regional Differences among China’s Urban Agglomerations

Abstract: Continuous aggregation of socioeconomic factors is the key issue of sustainable development in urban agglomerations. To date, more attention has been paid to single urban agglomeration than to multiple agglomerations. In this paper, China's 19 urban agglomerations were selected as the case study and their spatial differences in factors aggregating ability were portrayed comparatively. Firstly, the spatial pattern of urban factors aggregating ability is relatively well distributed in all China's cases, most not… Show more

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Cited by 23 publications
(16 citation statements)
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“…Principal component analysis and factor analysis are commonly used data reduction methods. This method can compress multivariate data, extract key variable information and reflect the original multivariate mass data information with fewer comprehensive variables [17,18]. The matrix of n degree X 1 , X 2 , • • •, X m is first constructed.…”
Section: Evaluation Modelmentioning
confidence: 99%
“…Principal component analysis and factor analysis are commonly used data reduction methods. This method can compress multivariate data, extract key variable information and reflect the original multivariate mass data information with fewer comprehensive variables [17,18]. The matrix of n degree X 1 , X 2 , • • •, X m is first constructed.…”
Section: Evaluation Modelmentioning
confidence: 99%
“…It indicates a huge population disparity among the UAs in terms of total amount (from 72.34 million of BT to 2.97 million of NT) and change rate. From a geographical perspective, Liu et al [12] founded that the UAs with the greatest values of factors comprehensive aggregating ability were mainly centralized in the prosperous eastern corridor of China, while the UAs located in the western China had the lowest comprehensive ability. Especially, there is a declining gradient pattern from east to west, and this declining pattern is consistent with the regional differences of GDP and population distributions.…”
Section: Introductionmentioning
confidence: 99%
“…The higher the ratio, the more reasonable it became. Third, the urban primary ratio, that is, the ratio of the first city to the second city in terms of urban population as the balanced urbanization, represents the balance of the level of urbanization development in the region [54]. The urban primary ratio played different roles in different stages of urbanization.…”
Section: Estimation Results Of the Dynamic Panel Modelmentioning
confidence: 99%