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• W2365183222 abstract "Investigating urban structures based on the intra-metropolitan location of economic activities(e.g. industrial districts or industrial clusters) is an increasingly important theme in empirical metropolitan studies. However, the lack of adequate research methodology has restricted the in-depth and fair exploration of mechanisms underpinning the formation of metropolitan industrial clusters, especially the differentiated roles played by two key processes-localization economies and inter-industry linkages. Therefore, based on existing literatures, this paper proposed an approach to systematically examine and detect the clustering of economic activities within a metropolitan area. Specifically, a modified, gravity model-based potential model is developed to spatialize sectoral data and measure the potential of each economic sector in every spatial unit, taking into account its location relative to firms in that sector at different spatial units. For each city street block and sector, potential is inversely proportional to the distance-decay parameter that is systematically adjusted to capture the varying weights of firms in that sector at nearby and distant locations. To evaluate the inter-correlations among potentials,which help detect geographic clustering model among economic sectors, principal component analysis(PCA) is used. Sectors loading strongly onto a component share similar location patterns.The city of Shenyang and its data from 2008 Second Economic Census(i.e. number of firms in different economic sectors at the city street block level) are used for empirical analysis.Analytical results reveal that interrelations or geographic clustering model among economic sectors in Shenyang are formed primarily because of inter-industry linkages, with the exception of the spatial interconnection among transportation, warehousing and postal services, which is forged, based on localization economies. Water conservancy, environmental protection and public facility management are closely correlated to manufacturing, and their geographic clustering model largely follows patterns of adjacent-street block clustering or across-street block clustering. The sectoral geographic clustering model of water conservancy, environmental protection and public facility management, and healthcare and social welfare, as well as public management and organizations, follows the pattern of within-city block clustering. The central business district in Shenyang where various service sectors concentrated offers many services to manufacturing sectors and thus plays an important role in the locations of manufacturing activities.Manufacturing locations, in turn, strongly affect the locational choices of transportation, warehousing and postal activities. Overall, the spatial organization of economic activities in Shenyang metropolitan area is characterized by a structure of single center and concentric rings. Large-scale decentralization and poly-nucleation of economic activities are not apparent within the metropolitan area. These revelations from the modeling generally match the reality and suggest that the model proposed by this research is capable of exploring spatial patterns and mechanisms of industrial clusters, particularly geographic clustering model(or collocations) among different sectors in the metropolitan context, thus contributing the understanding city structures." @default.
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• W2365183222 date "2014-01-01" @default.
• W2365183222 modified "2023-09-24" @default.
• W2365183222 title "Geographic clustering of sector enterprises and urban form in Shenyang" @default.
• W2365183222 hasPublicationYear "2014" @default.
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