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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

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)
slide3

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!

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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