IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Do Natural Amenities Attract High-tech Jobs? Evidence From a Smoothed Bayesian Spatial Model

Listed author(s):
  • Jeffrey H. Dorfman
  • Mark D. Partridge
  • Hamilton Galloway

We investigate the popular theory that high-technology workers are drawn to high amenity locations and then the jobs follow the workers. Using a novel data set that tracks high-technology job growth by US county, we estimate spatial parameters of the response of high-tech job growth to the level of local natural amenities. For estimation we utilize a reasonably new class of models, smooth coefficient models, taking advantage of their flexibility to allow the response of high-tech job growth to be nonlinear with respect to the level of natural amenities. Our results show that amenities are not an important driver for high-technology employment growth. Natural amenities matter most within the subset of US counties that are micropolitan, where they can influence location decisions. Nous penchons sur la théorie populaire d'après laquelle les travailleurs du secteur de la technologie de pointe sont attirés vers des lieux à infrastructure supérieure, et les emplois de ce secteur suivent ces mêmes travailleurs. En utilisant un ensemble de données nouveau, qui suit l'expansion des emplois dans le secteur de la technologie de pointe par comté des États-Unis, nous procédons à la réalisation d'une évaluation de paramètres spatiaux de la réaction de l'expansion des emplois dans le secteur de la technologie de pointe au niveau des infrastructures naturelles locales. Pour l'estimation, nous utilisons une catégorie de modèles raisonnablement neuve, des modèles à coefficient de lissage, en exploitant leur souplesse d'emploi afin d'assurer que la réponse de l'expansion des emplois dans la haute technologue soit non linéaire relativement au niveau des ressources naturelles. Les résultats obtenus montrent que les infrastructures ne constituent pas un élément déterminant de l'expansion de l'emploi dans le secteur de la haute technologie. L'importance des infrastructures naturelles est plus importante dans le sous-ensemble des comtés micropolitains des États-Unis, où elles peuvent influer sur des décisions relatives au lieu d'implantation. Investigamos la teoría popular de que los trabajadores de alta tecnología se sienten atraídos hacia lugares con muchas amenidades, y, por lo tanto, que los trabajos acompañan a los trabajadores. Utilizando un conjunto novedoso de datos que rastrea el crecimiento de empleos en alta tecnología por condado estadounidense, estimamos parámetros espaciales de la respuesta del crecimiento de trabajos de alta tecnología al nivel de amenidades naturales locales. Para la estimación utilizamos una clase de modelos razonablemente nuevos, los modelos de coeficiente homogéneo, sacando partido de su flexibilidad para que la respuesta del crecimiento de trabajo de alta tecnología no sea lineal con respecto al nivel de amenidades naturales. Nuestros resultados muestran que las amenidades no representan un aliciente importante para el crecimiento del empleo en alta tecnología. Las amenidades importan más dentro del subconjunto de condados estadounidenses micropolitanos, donde pueden influir sobre las decisiones de ubicación.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.

Volume (Year): 6 (2011)
Issue (Month): 4 (April)
Pages: 397-422

in new window

Handle: RePEc:taf:specan:v:6:y:2011:i:4:p:397-422
DOI: 10.1080/17421772.2011.610811
Contact details of provider: Web page:

Order Information: Web:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:taf:specan:v:6:y:2011:i:4:p:397-422. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.