Which places grow faster? An empirical analysis of employment growth factors at the local level for the Spanish economy

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Standard

Which places grow faster? An empirical analysis of employment growth factors at the local level for the Spanish economy. / Gutierrez Posada, Diana; Rubiera-Morollón, Fernando; Viñuela, Ana.

Innovations in Urban and Regional Systems: Contributions from GIS&T, Spatial Analysis and Location Modeling. ed. / Jean-Claude Thill. Springer, Cham, 2020. p. 87-111.

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

Gutierrez Posada, D, Rubiera-Morollón, F & Viñuela, A 2020, Which places grow faster? An empirical analysis of employment growth factors at the local level for the Spanish economy. in J-C Thill (ed.), Innovations in Urban and Regional Systems: Contributions from GIS&T, Spatial Analysis and Location Modeling. Springer, Cham, pp. 87-111. https://doi.org/10.1007/978-3-030-43694-0_5

APA

Gutierrez Posada, D., Rubiera-Morollón, F., & Viñuela, A. (2020). Which places grow faster? An empirical analysis of employment growth factors at the local level for the Spanish economy. In J-C. Thill (Ed.), Innovations in Urban and Regional Systems: Contributions from GIS&T, Spatial Analysis and Location Modeling (pp. 87-111). Springer, Cham. https://doi.org/10.1007/978-3-030-43694-0_5

Vancouver

Gutierrez Posada D, Rubiera-Morollón F, Viñuela A. Which places grow faster? An empirical analysis of employment growth factors at the local level for the Spanish economy. In Thill J-C, editor, Innovations in Urban and Regional Systems: Contributions from GIS&T, Spatial Analysis and Location Modeling. Springer, Cham. 2020. p. 87-111 https://doi.org/10.1007/978-3-030-43694-0_5

Author

Gutierrez Posada, Diana ; Rubiera-Morollón, Fernando ; Viñuela, Ana. / Which places grow faster? An empirical analysis of employment growth factors at the local level for the Spanish economy. Innovations in Urban and Regional Systems: Contributions from GIS&T, Spatial Analysis and Location Modeling. editor / Jean-Claude Thill. Springer, Cham, 2020. pp. 87-111

Bibtex

@inbook{b3e60725305e4927a387538c76c49ebb,
title = "Which places grow faster?: An empirical analysis of employment growth factors at the local level for the Spanish economy",
abstract = "The objective of this work is to study employment growth and its determinants in Spain at a high degree of spatial disaggregation. The impossibility of obtaining GDP data at the local scale makes this a particularly interesting issue, as employment growth can be used as a proxy for local economic growth—and can therefore be expected to provide some insight into the factors associated with local economic performance. Based upon the theories of New Economic Geography (NEG), we first analyse the influence of population size and location on employment growth. As well as considering the Euclidean distance to the main metropolitan areas—the traditional way to control for distance—we also consider the incremental distances, a novel approach that connects this work with the literature on the hierarchy of cities. We also examine the traditional socio-economic growth factors such as education, degree of diversification and sectoral structure. Results show that geographical factors in Spain are especially relevant in the understanding of local employment growth, explaining better than traditional socio-economic characteristics why some areas grow faster. We also examine how different are the patterns of rural and urban areas and introduce spatial auto-regressive models.",
keywords = "Incremental distances, Local and regional policies, Local employment growth, Local labour markets, NEG, Spain",
author = "{Gutierrez Posada}, Diana and Fernando Rubiera-Moroll{\'o}n and Ana Vi{\~n}uela",
year = "2020",
month = may,
day = "12",
doi = "10.1007/978-3-030-43694-0_5",
language = "English",
isbn = "978-3-030-43692-6",
pages = "87--111",
editor = "Jean-Claude Thill",
booktitle = "Innovations in Urban and Regional Systems",
publisher = "Springer, Cham",

}

RIS

TY - CHAP

T1 - Which places grow faster?

T2 - An empirical analysis of employment growth factors at the local level for the Spanish economy

AU - Gutierrez Posada, Diana

AU - Rubiera-Morollón, Fernando

AU - Viñuela, Ana

PY - 2020/5/12

Y1 - 2020/5/12

N2 - The objective of this work is to study employment growth and its determinants in Spain at a high degree of spatial disaggregation. The impossibility of obtaining GDP data at the local scale makes this a particularly interesting issue, as employment growth can be used as a proxy for local economic growth—and can therefore be expected to provide some insight into the factors associated with local economic performance. Based upon the theories of New Economic Geography (NEG), we first analyse the influence of population size and location on employment growth. As well as considering the Euclidean distance to the main metropolitan areas—the traditional way to control for distance—we also consider the incremental distances, a novel approach that connects this work with the literature on the hierarchy of cities. We also examine the traditional socio-economic growth factors such as education, degree of diversification and sectoral structure. Results show that geographical factors in Spain are especially relevant in the understanding of local employment growth, explaining better than traditional socio-economic characteristics why some areas grow faster. We also examine how different are the patterns of rural and urban areas and introduce spatial auto-regressive models.

AB - The objective of this work is to study employment growth and its determinants in Spain at a high degree of spatial disaggregation. The impossibility of obtaining GDP data at the local scale makes this a particularly interesting issue, as employment growth can be used as a proxy for local economic growth—and can therefore be expected to provide some insight into the factors associated with local economic performance. Based upon the theories of New Economic Geography (NEG), we first analyse the influence of population size and location on employment growth. As well as considering the Euclidean distance to the main metropolitan areas—the traditional way to control for distance—we also consider the incremental distances, a novel approach that connects this work with the literature on the hierarchy of cities. We also examine the traditional socio-economic growth factors such as education, degree of diversification and sectoral structure. Results show that geographical factors in Spain are especially relevant in the understanding of local employment growth, explaining better than traditional socio-economic characteristics why some areas grow faster. We also examine how different are the patterns of rural and urban areas and introduce spatial auto-regressive models.

KW - Incremental distances

KW - Local and regional policies

KW - Local employment growth

KW - Local labour markets

KW - NEG

KW - Spain

UR - http://www.scopus.com/inward/record.url?scp=85089319965&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-43694-0_5

DO - 10.1007/978-3-030-43694-0_5

M3 - Chapter (peer-reviewed)

SN - 978-3-030-43692-6

SP - 87

EP - 111

BT - Innovations in Urban and Regional Systems

A2 - Thill, Jean-Claude

PB - Springer, Cham

ER -