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  • Urbanization
    Dongqi SUN, Mingxing CHEN Yufu CHEN, Wuzhati YEERKEN
    Acta Geographica Sinica. 2016, 71(6): 1025-1044. https://doi.org/10.11821/dlxb201606010
    Baidu(5) CSCD(8)

    The development of the new-type urbanization in the future has aroused great attention from the government and the public. Initially, this research predicts the urbanization and population dynamics on both national and provincial levels from 2015 to 2030. On this basis, this study examines the spatial variation of urbanization given the national urbanization rate of 70.12%. Furthermore, it estimates the national and provincial demands of investment in the new urbanization. The main conclusions can be drawn as follows: (1) The population and urbanization rate will reach 1.445 billion and 70.12% respectively from 2015 to 2030. (2) The demographic dividend will be vanished when population pressure reaches its maximum. The re-production population will reach 70.16 million and a suburban population of 316.7 million will be urbanized, leaving an urban population of 386 million. (3) Although the urbanization rate of each province will increase during 2015-2030, the difference of urbanization rate and urbanization quality between provinces is substantial. In some provinces, urbanization quality and eco-social development are uncoordinated. (4) A total of 4,105,380 billion yuan is needed for the sake of new urbanization and the investment demand in each province varies largely: Guangdong province needs the most funding, which is 148.09 times as much as that of Tibet, which needs the least funding. In the final part, policy suggestions regarding the investment of the new urbanization are put forward.

  • Urbanization
    Chunshan ZHOU, Jincan HU, Xinmei TONG, Yan BIAN
    Acta Geographica Sinica. 2016, 71(6): 1010-1024. https://doi.org/10.11821/dlxb201606009
    Baidu(8) CSCD(12)

    Research into urban socio-spatial structure was first introduced to Chinese geographers in 1986. Since the beginning of the free-market economic reform in 1987, Chinese cities have changed rapidly and have attracted substantial attention from academia. Chinese case studies have predominantly concerned megacities such as Beijing, Shanghai, and Guangzhou. As the pioneer of China's reform and opening-up, Guangzhou is representative of large Chinese cities in the transformation of the socio-spatial structure. The first research was initiated in the social areas of Guangzhou in 1985. Zhou used data from the fifth population census of 2000 to analyze the social areas of Guangzhou and identified three evolution modes of the socio-spatial structure: the first is based on the development of the old city, the second fouses on the development of the educational or industrial "enclave", and the third presents the development of agricultural areas. The research on the evolution of urban socio-spatial structure, as a vital part of urban geography study, needs a long-term follow-up survey and analysis. Thus, using the Factor Ecological Analysis (FEA), this paper analyzes the social area in Guangzhou with the Sixth National Population Census data of 2010, and further divides the social area into 7 sub-types based on the 7 main factors. Comparing the studies of the 2000s and 1985, we found that: (1) Most of the principal factors are available for the years of 1985-2010, and they have played an increasingly important role during the period studied. In addition, some individual principal factors only appear in a certain year, thus have strong distinct characteristics. (2) The evolution of social areas in Guangzhou has been mainly characterized by type conversion and followed by regional spatial differentiation in 1985-2000; and vice versa in 2000-2010. (3) This study further found evidence of the three evolution modes proposed in 2000 based on the development of the old town, development of enclave of industry and education, and development of the rural community; then it put forward a new model based on the development of the social areas in suburban towns; (4) The market mechanism, administrative mechanism and the family life cycle mechanism work together to the evolution of socio-spatial structure.