Artikel

Heterogeneous labour demand in the Colombian manufacturing sector

Using the Colombian Annual Manufacturing Survey between 2000 and 2013, we investigate the heterogeneity in labour demand within the industrial sector based on the elasticities. We find that long-run own-price, output, and TFP elasticities vary across a variety of dimensions such as regions, sectors, and plant sizes depending on workers' skills and contract modalities (open-ended and temporary). The determinants of industrial labour demand are quantitatively different, mainly, across regions and, to some extent, subsectors when we focus on demand for unskilled workers. It is possible that, given the importance of apparel in the manufacturing sector in Pereira, labour demand for permanent skilled workers in that city is different from that of Bogotá, Cali, and Medellín. Thus, labour demand heterogeneity is just a symptom of the underlying differences in the production processes and produced goods, technologies, labour force qualification and productivity, preferences of workers, rigidities and wage-setting procedures, and peculiarities of goods' markets, etc. Suggestions to induce more wage flexibility and decrease labour segmentation emerge from this paper.

Language
Englisch

Bibliographic citation
Journal: Journal for Labour Market Research ; ISSN: 2510-5027 ; Volume: 53 ; Year: 2019 ; Issue: 1 ; Pages: 1-19 ; Heidelberg: Springer

Classification
Wirtschaft
Labor Demand
Other Spatial Production and Pricing Analysis
Subject
Regional disparities
Skilled and unskilled workers
Temporary and open-ended contracts
Labour segmentation

Event
Geistige Schöpfung
(who)
Álvarez, Luis-Esteban
Castellani, Francesca
Obando, Nataly
Event
Veröffentlichung
(who)
Springer
(where)
Heidelberg
(when)
2019

DOI
doi:10.1186/s12651-018-0252-x
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Álvarez, Luis-Esteban
  • Castellani, Francesca
  • Obando, Nataly
  • Springer

Time of origin

  • 2019

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