Research problem detecting clusters of activity in catalonia
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Research problem: Detecting clusters of activity in Catalonia. Jenifer Ruiz-Valenzuela. Regional Quantitative Analysis Research Group. Institut d’Economia Aplicada Regional i Pública. 1. Motivation and objectives. Enlargement of the EU to the Central and Eastern European Countries,

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Research problem: Detecting clusters of activity in Catalonia

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Research problem detecting clusters of activity in catalonia

Research problem: Detecting clusters of activity in Catalonia

Jenifer Ruiz-Valenzuela

Regional Quantitative Analysis Research Group

Institut d’Economia Aplicada

Regional i Pública


1 motivation and objectives

1. Motivation and objectives

  • Enlargement of the EU to the Central and Eastern European Countries,

  • Elimination of textile quotas between WTO members.

    reinforcement of the relocation processes of industries from west to east.

    Objective:

    Delimitate those areas that could be more affected by relocation processes of high risk delocalization sectors in Catalonia

  • Geographic unit: Local Labour Systems –LLS – (aggregation of municipalities according to commuting flows. Problem: Modifiable Areal Unit Problem)


Research problem detecting clusters of activity in catalonia

What fraction represents Catalonia in Spain in terms of…

  • Population: 15,47%

  • Total GDP: 18,43%

  • Employment in service sectors: 15,9%

  • Employment in industrial sectors: 25,04%

    Source: INE, 2001


2 data

2. Data

  • Employment in each municipality of Catalonia with a 2-digit level of sectoral disaggregation - NACE-Rev 1.1. (60 sectors), 2001 (Idescat)

  • Input-output table of Catalonia, 2001


2 methodology

Total employment in sector j

Employment in sector j and LLS i

Total employment in LLS i

Total employment in Catalonia

2. Methodology

  • Determine those sectors in Catalonia with a higher risk of delocalization according to:

    • Existing literature

    • Closure of establishments between 2001 and 2005

    • Input-output relations

  • Compute for each risk sector and LLS the LOCATION QUOTIENTS (employment data):

  • >1: LLS i is more specialized in industry j than Catalonia


    2 methodology1

    2. Methodology

    • Select high risk LLS according to:

      1.

      2. Using the LISA cluster map: select the significant high-high values!

      BUT: Significant HH values do not correspond with those areas with a higher location quotient!


    3 research problem example manufacturing of textiles

    3. Research problem:Example: Manufacturing of textiles


    4 question

    4. Question

    Is there any other technique in the Exploratory Spatial Data Analysis to detect the particular areas that form a cluster of activity???


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