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Presenter : Yu-Ting LU Authors: Vittorio Carlei, Massimiliano Nuccio 2014. PRL

Mapping industrial patterns in spatial agglomeration: A SOM approach to Italian industrial districts. Presenter : Yu-Ting LU Authors: Vittorio Carlei, Massimiliano Nuccio 2014. PRL. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

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Presenter : Yu-Ting LU Authors: Vittorio Carlei, Massimiliano Nuccio 2014. PRL

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  1. Mapping industrial patterns in spatial agglomeration: A SOM approach to Italian industrial districts Presenter: Yu-Ting LUAuthors: Vittorio Carlei, Massimiliano Nuccio2014. PRL

  2. Outlines • Motivation • Objectives • Methodology • Experiments • Conclusions • Comments

  3. Motivation • IDs are traditionally identified by indexes which measure the physical concentration of firms belonging to a given industry, but are unable to seize the overall productive structure of the local economy.

  4. Objectives • The methodology can be applied to different sizes of economic regions, to different industries and at different levels of industry classification. • The topological clustering provided by the SOM is able to define industrial patterns and also can measure the relative relevance of a given industry with Component Planes.

  5. Methodology

  6. Methodology

  7. Methodology

  8. Experiments

  9. Experiments - The case of the Italian Clothing Industry

  10. Experiments - Concentration vs. RIR

  11. Conclusions • This paper contributes to investigate the process of regionalization of economic activities based on the geographic distribution of labour factor as a proxy of the local supply of human capital.

  12. Comments • Advantages • Identify different forms of spatial agglomeration and local patterns of industrial • Applications • Self-Organizing Map • Analysis of Industry agglomeration

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