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International outsourcing and the demand for skills

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Abstract

This paper explores the impact of international outsourcing on the demand for skills in three small and open EU economies. A model of variable costs and factor demand functions for different skill levels and imported as well as domestic materials are constructed. International outsourcing is treated directly as a substitution process between labour of different skills and imported inputs. The direct consequence of international outsourcing for labour is measured by the cross price elasticities. These cross price elasticities indicate a negative outsourcing impact on low- and medium-skilled labour in the three countries and on high-skilled labour in two out of the three countries. This outsourcing effect on labour is compared with the direct effect of embodied technical change and of the technical change bias. International outsourcing has a more unambigous and significant negative impact on labour than technical change. Technical change is either labour using (embodied technical change) or only slightly biased in favour of high-skilled labour. When the cost savings effect of international outsourcing is taken into account, an indirect positive stimulus for all skill categories arises from a greater demand for goods. It can be shown, that this indirect positive effect can compensate for a large part of the negative substitution impact of international outsourcing on labour.

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Notes

  1. Further one could also think of taking into account the own price effect of a change in p i on s i .

  2. Here invaluable research assistance from Irene Langer must be acknowledged.

  3. Generally prices of aggregates have been calculated according to the Divisia price index, i.e. the weighted sum of logs of single prices with the value shares as weights.

  4. The narrow measure could not be calculated for the Netherlands in 2002 and 2003, due to a different commodity classification of the available import matrices other than the industry classification.

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Acknowledgments

Research for this paper has been funded by the European Commission, Research Directorate General as part of the 6th Framework Programme, Priority 8, “Policy Support and Anticipating Scientific and Technological Needs” (project 502049). The paper has benefited most from discussions with Martin Falk and Yvonne Wolfmayr. Very helpful research assistance has been delivered by Irene Langer, comments have been delivered by Michael Wueger, Martin Falk and an anonymous referee. The usual disclaimer applies.

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Correspondence to Kurt Kratena.

Appendix

Appendix

The EU KLEMS database is generally designed at the NACE 2 digit industry level with a disaggregation of 2 digits to sub-industries in some cases. Due to a lack of data in some variables, the aggregation level that could be chosen for this analysis was determined by the largest common denominator. This led to an aggregation level of 28 industries out of which 13 are manufacturing activities. The following table describes the concordance between the original EUKLEMS classification (middle column) defined by NACE (left column) and the classification applied in this study. The column on the right hand side comprises the 13 manufacturing industries analysed in this study.

 

NACE

  

 15t16

Food, beverages and tobacco

Food, beverages and tobacco

 15

Food and beverages

 

 16

Tobacco

 

 17t19

Textiles, textile, leather and footwear

Textiles, leather and footwear

 17t18

Textiles and textile

 

 17

Textiles

 

 18

Wearing apparel, dressing and dying of fur

 

 19

Leather, leather and footwear

 

 20

Wood and of wood and cork

Wood and of wood and cork

 21t22

Pulp, paper, paper, printing and publishing

Pulp, paper, printing and publishing

 21

Pulp, paper and paper

 

 22

Printing, publishing and reproduction

 

 221

Publishing

 

 22x

Printing and reproduction

 

 23t25

Chemical, rubber, plastics and fuel

 

 23

Coke, refined petroleum and nuclear fuel

Coke, refined petroleum, nuclear

 24

Chemicals and chemical products

Chemicals and pharmaceuticals

 244

Pharmaceuticals

Chemicals and pharmaceuticals

 24x

Chemicals excluding pharmaceuticals

Chemicals and pharmaceuticals

 25

Rubber and plastics

Rubber and plastics

 26

Other non-metallic mineral

Other non-metallic mineral

 27t28

Basic metals and fabricated metal

Basic metals and fabricated metal

 27

Basic metals

 

 28

Fabricated metal

 

 29

Machinery, nec

Machinery nec

 30t33

Electrical and optical equipment

Electrical and optical equipment

 30

Office, accounting and computing machinery

 

 31t32

Electrical engineering

 

 31

Electrical machinery and apparatus, nec

 

 313

Insulated wire

 

 31x

Other electrical machinery and apparatus nec

 

 32

Radio, television and communication equipment

 

 321

Electronic valves and tubes

 

 322

Telecommunication equipment

 

 323

Radio and television receivers

 

 33

Medical, precision and optical instruments

 

 331t3

Scientific instruments

 

 334t5

Other instruments

 

 34t35

Transport equipment

Transport equipment

 34

Motor vehicles, trailers and semi-trailers

 

 35

Other transport equipment

 

 351

Building and repairing of ships and boats

 

 353

Aircraft and spacecraft

 

 35x

Railroad equipment and transport equipment nec

 

 36t37

Manufacturing nec; recycling

Manufacturing nec and recycling

 36

Manufacturing nec

 

 37

Recycling

 

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Kratena, K. International outsourcing and the demand for skills. Empirica 37, 65–85 (2010). https://doi.org/10.1007/s10663-009-9119-2

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