Technology Adoption In and Out of Major Urban Areas: When Do Internal Firm Resources Matter Most?
How much do internal firm resources contribute to technology adoption in major urban locations, where the advantages from agglomeration are greatest? The authors address this question in the context of a business's decision to adopt advanced Internet technology. Drawing on a rich data set of adoption decisions by 86,879 U.S. establishments, the authors find that the marginal contribution of internal resources to adoption is greater outside of a major urban area than inside one. Agglomeration is therefore less important for highly capable firms. The authors conclude that firms behave as if resources available in cities are substitutes for both establishment-level and firm-level internal resources.
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.
| Length: | |
| Date of creation: | Sep 2005 |
| Handle: | RePEc:nbr:nberwo:11642 |
| Note: | IO PR |
| Contact details of provider: | Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A. Phone: 617-868-3900 Web page: http://www.nber.org Email: More information through EDIRC
|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Gilles Duranton & Diego Puga, 2001.
"Nursery Cities: Urban Diversity, Process Innovation, and the Life Cycle of Products,"
American Economic Review,
American Economic Association, vol. 91(5), pages 1454-1477, December.
- Gilles Duranton & Diego Puga, 2000. "Nursery cities: urban diversity, process innovation and the life-cycle of products," LSE Research Online Documents on Economics 20204, London School of Economics and Political Science, LSE Library.
- Duranton, Gilles & Puga, Diego, 2000. "Nursery Cities: Urban Diversity, Process Innovation, and the Life-Cycle of Products," CEPR Discussion Papers 2376, C.E.P.R. Discussion Papers.
- Gilles Duranton & Diego Puga, 2000. "Nursery Cities: Urban diversity, process innovation, and the life-cycle of products," Working Papers dpuga-00-01, University of Toronto, Department of Economics.
- Gilles Duranton & Diego Puga, 2000. "Nursery Cities: Urban Diversity, Process Innovation and the Life-Cycle of Products," CEP Discussion Papers dp0445, Centre for Economic Performance, LSE.
- Colombo, Massimo G & Mosconi, Rocco, 1995. "Complementarity and Cumulative Learning Effects in the Early Diffusion of Multiple Technologies," Journal of Industrial Economics, Wiley Blackwell, vol. 43(1), pages 13-48, March.
- Thomas J. Holmes & John J. Stevens, 2002. "Geographic Concentration and Establishment Scale," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 682-690, November.
- Thomas J. Holmes, 1999. "Localization Of Industry And Vertical Disintegration," The Review of Economics and Statistics, MIT Press, vol. 81(2), pages 314-325, May.
- Thomas J. Holmes, 1995. "Localization of industry and vertical disintegration," Staff Report 190, Federal Reserve Bank of Minneapolis.
- Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
- Karshenas, Massoud & Stoneman, Paul, 1990. "Rank, Stock, Order And Epidemic Effects In The Diffusion Of New Process Technologies : An Empirical Model," The Warwick Economics Research Paper Series (TWERPS) 358, University of Warwick, Department of Economics.
- Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
- Austan Goolsbee & Peter J. Klenow, 1999. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," NBER Working Papers 7329, National Bureau of Economic Research, Inc.
- Maryellen Kelley & Susan Helper, 1999. "Firm Size And Capabilities, Regional Agglomeration, And The Adoption Of New Technology," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(1-2), pages 79-103.
- Chris Forman & Avi Goldfarb & Shane Greenstein, 2002. "Digital Dispersion: An Industrial and Geographic Census of Commerical Internet Use," NBER Working Papers 9287, National Bureau of Economic Research, Inc.
- Rajiv D. Banker & Sandra A. Slaughter, 1997. "A Field Study of Scale Economies in Software Maintenance," Management Science, INFORMS, vol. 43(12), pages 1709-1725, December. Full references (including those not matched with items on IDEAS)
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:nbr:nberwo:11642. 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: ()
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.