Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
  1. Home
  2. Cornell University Graduate School
  3. Cornell Theses and Dissertations
  4. The Geography of Innovation in the United States

The Geography of Innovation in the United States

Access Restricted

Access to this document is restricted. Some items have been embargoed at the request of the author, but will be made publicly available after the "No Access Until" date.

During the embargo period, you may request access to the item by clicking the link to the restricted file(s) and completing the request form. If we have contact information for a Cornell author, we will contact the author and request permission to provide access. If we do not have contact information for a Cornell author, or the author denies or does not respond to our inquiry, we will not be able to provide access. For more information, review our policies for restricted content.

File(s)
Tan_cornellgrad_0058F_14957.pdf (5.21 MB)
No Access Until
2028-06-22
Permanent Link(s)
https://doi.org/10.7298/3rpa-zh08
https://hdl.handle.net/1813/126603
Collections
Cornell Theses and Dissertations
Author
Tan, Weiliang
Abstract

A defining trend in U.S. innovation is its rising geographic concentration, exemplified by the growth of high-tech clusters such as Silicon Valley. What factors drive this rising spatial concentration, and what are its implications for regional and aggregate growth? Using comprehensive data on patents, firms, and inventors from 1976 to 2018, I find that innovation became more concentrated in high-skill regions only after 1990, with the rise of information and communication technologies (ICT) playing two distinct roles in this process. First, the sudden arrival of influential ICT breakthroughs shifted innovation toward ICT -- a sector whose production and innovation are more concentrated in high-skill regions relative to the non-ICT sector. Second, ICT-enabled reductions in communication costs allowed innovation-intensive firms based in high-skill regions to expand geographically, increase their scale, and innovate more. Worker sorting toward high-skill regions in the 1980s facilitated the growth of both the ICT sector and other innovation-intensive firms in these regions. To decompose the contribution of each mechanism to the rising spatial concentration of innovation and its implications for macroeconomic growth, I develop a spatial growth model with endogenous and directed innovation, technology diffusion, and dynamic worker mobility. The model characterizes the spatial direction of innovation along the transition path and shows how its steady-state spatial distribution shapes long-run aggregate growth.

Description
166 pages
Date Issued
2026-05
Keywords
economic geography
•
information and communication technologies
•
innovation
•
quantitative spatial model
•
trade and growth
Committee Chair
Rudik, Ivan
Committee Member
Li, Shanjun
Chau, Ho
Degree Discipline
Applied Economics and Management
Degree Name
Ph. D., Applied Economics and Management
Degree Level
Doctor of Philosophy
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights URI
https://creativecommons.org/licenses/by-nc-nd/4.0/
Type
dissertation or thesis

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance