Publication

The regional and sectoral mobility of high-tech workers: insights from Finland

Simonen, J., Svento, R. & McCann, P., Mar-2016, In : Annals of Regional Science. 56, 2, p. 341-368 28 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Simonen, J., Svento, R., & McCann, P. (2016). The regional and sectoral mobility of high-tech workers: insights from Finland. Annals of Regional Science, 56(2), 341-368. https://doi.org/10.1007/s00168-016-0742-0

Author

Simonen, J. ; Svento, R. ; McCann, P. / The regional and sectoral mobility of high-tech workers : insights from Finland. In: Annals of Regional Science. 2016 ; Vol. 56, No. 2. pp. 341-368.

Harvard

Simonen, J, Svento, R & McCann, P 2016, 'The regional and sectoral mobility of high-tech workers: insights from Finland' Annals of Regional Science, vol. 56, no. 2, pp. 341-368. https://doi.org/10.1007/s00168-016-0742-0

Standard

The regional and sectoral mobility of high-tech workers : insights from Finland. / Simonen, J.; Svento, R.; McCann, P.

In: Annals of Regional Science, Vol. 56, No. 2, 03.2016, p. 341-368.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Simonen J, Svento R, McCann P. The regional and sectoral mobility of high-tech workers: insights from Finland. Annals of Regional Science. 2016 Mar;56(2):341-368. https://doi.org/10.1007/s00168-016-0742-0


BibTeX

@article{7b1339fd80b542a7a04e0e8504895752,
title = "The regional and sectoral mobility of high-tech workers: insights from Finland",
abstract = "In this paper we employ data on 156,000 workers working within the Finnish high-tech industries in order to identify the extent to which labour mobility between sectors and regions is influenced by the characteristics of the locality in which the worker works. With these data we are able to estimate different types of binary, multinomial and ordered logit models to capture different types of inter- or intra-sector or region employment mobility. As we will see the different categories of employment mobility are influenced by different factors such that we cannot simply talk about 'labour mobility', but rather need to be specific regarding each particular form of employment mobility. Our results show that urbanisation and industrial diversity are not just associated with greater intra-regional mobility, as is emphasised by the agglomeration literature, but also greater inter-regional mobility.",
keywords = "LOCAL-LABOR MARKETS, QUALITY-OF-LIFE, SILICON VALLEY, DEVELOPMENT COOPERATION, UNITED-STATES, MIGRATION, INNOVATION, KNOWLEDGE, AGGLOMERATION, GEOGRAPHY",
author = "J. Simonen and R. Svento and P. McCann",
year = "2016",
month = "3",
doi = "10.1007/s00168-016-0742-0",
language = "English",
volume = "56",
pages = "341--368",
journal = "Annals of Regional Science",
issn = "0570-1864",
publisher = "SPRINGER",
number = "2",

}

RIS

TY - JOUR

T1 - The regional and sectoral mobility of high-tech workers

T2 - insights from Finland

AU - Simonen, J.

AU - Svento, R.

AU - McCann, P.

PY - 2016/3

Y1 - 2016/3

N2 - In this paper we employ data on 156,000 workers working within the Finnish high-tech industries in order to identify the extent to which labour mobility between sectors and regions is influenced by the characteristics of the locality in which the worker works. With these data we are able to estimate different types of binary, multinomial and ordered logit models to capture different types of inter- or intra-sector or region employment mobility. As we will see the different categories of employment mobility are influenced by different factors such that we cannot simply talk about 'labour mobility', but rather need to be specific regarding each particular form of employment mobility. Our results show that urbanisation and industrial diversity are not just associated with greater intra-regional mobility, as is emphasised by the agglomeration literature, but also greater inter-regional mobility.

AB - In this paper we employ data on 156,000 workers working within the Finnish high-tech industries in order to identify the extent to which labour mobility between sectors and regions is influenced by the characteristics of the locality in which the worker works. With these data we are able to estimate different types of binary, multinomial and ordered logit models to capture different types of inter- or intra-sector or region employment mobility. As we will see the different categories of employment mobility are influenced by different factors such that we cannot simply talk about 'labour mobility', but rather need to be specific regarding each particular form of employment mobility. Our results show that urbanisation and industrial diversity are not just associated with greater intra-regional mobility, as is emphasised by the agglomeration literature, but also greater inter-regional mobility.

KW - LOCAL-LABOR MARKETS

KW - QUALITY-OF-LIFE

KW - SILICON VALLEY

KW - DEVELOPMENT COOPERATION

KW - UNITED-STATES

KW - MIGRATION

KW - INNOVATION

KW - KNOWLEDGE

KW - AGGLOMERATION

KW - GEOGRAPHY

U2 - 10.1007/s00168-016-0742-0

DO - 10.1007/s00168-016-0742-0

M3 - Article

VL - 56

SP - 341

EP - 368

JO - Annals of Regional Science

JF - Annals of Regional Science

SN - 0570-1864

IS - 2

ER -

ID: 65926625