نبذة مختصرة : This study follows the logic of capitalist production of location to investigate the regional differentiation of land use in Seoul Metropolitan. The dustering districts of inner-city small workplace is a character among the Seoul land use patterns, and the subsistence mechanism of small workplace is empirically investigated in this study. The most important results of the current project can be summarized as follows. (1) From a theoretical point of view, Marxist urban land rent theory and bid-rent theory have a flaw in the consideration of the specific attributes of location. Therefore, this study formulates a system of the form and its change of location advantages in terms of capitalist production. The network land rent is suggested as an alternative theoretical framework, which embraces the urban industrial restructuring and the changes of production system. (2) Regional disparity in rent is greater than that of the total floor space of buildings, and from the highest hierarchy of rent level at the central city it is concluded that the inter-regional relocation of location advantages has not taken place. On the basis of the total floor space, Kangnam region has risen to a new center, but its locational value is still lower in the hierarchy. Therefore, these results show that there are spatial division of labor between the central city and the Kangnam region. (3) The industrial land use(the total floor space) is localized extremely and, what is more, the incresed floor space is localized on the limited localities. In the land use combination to indicate the competition of land uses, the combination types are oriented to services, wholesale and retail trade, restaurants and hotels, housing and commerce in the greater part of locality, namely, neighborhood and consumption -oriented land use pattern. In the cases of FIRE, business services, and office the central city stays predominant over the location competition with other uses. Traditional manufacturing belt is still dominant land use for manufacturing, ...
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