Intelligent Database Systems Lab

Presenter: YU-TING LU

Authors: Vittorio Carlei, Massimiliano Nuccio

2014. PRL

Mapping industrial patterns in spatial agglomeration: A SOM approach to Italian industrial districts

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Outlines

MotivationObjectivesMethodologyExperimentsConclusionsComments

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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.

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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.

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Methodology

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Methodology

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Methodology

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Experiments

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Experiments - The case of the Italian Clothing Industry

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Experiments - Concentration vs. RIR

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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.

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Comments• Advantages

- Identify different forms of spatial agglomeration and local patterns of industrial

• Applications- Self-Organizing Map- Analysis of Industry agglomeration