TY - JOUR
T1 - What Factors Affect Information Technology Firm Location Choices in Middle America? An Examination of Regional and Industrial Variation in Kansas
AU - Cader, Hanas A.
AU - Crespi, John M.
AU - Leatherman, John C.
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was supported by the National Research Initiative of the Cooperative State Research, Education and Extension Service, USDA, Grant # 2003-35401-13887.
PY - 2013/4
Y1 - 2013/4
N2 - The importance of information technologies in regional economic performance is widely accepted but only widely studied in more populous regions in the United States. Local and state development practitioners and policy makers actively court and promote Information Technology (IT)-intensive industries in rural areas. Despite various promotional efforts, relatively little is known about the specific location requirements of such industries, however, especially in lower population areas of the United States such as the mostly rural Midwest. In this article, the authors examine the location choice preferences of firms in three IT industry sectors in metro, metro-adjacent, and nonmetro regions using a highly detailed data set of Kansas industries. The modeling framework combines both conditional logit and Poisson regression models. The results indicate that average establishment size, industry clustering, labor intensity, and county employment growth explain variations in industry location choice preferences across regions.
AB - The importance of information technologies in regional economic performance is widely accepted but only widely studied in more populous regions in the United States. Local and state development practitioners and policy makers actively court and promote Information Technology (IT)-intensive industries in rural areas. Despite various promotional efforts, relatively little is known about the specific location requirements of such industries, however, especially in lower population areas of the United States such as the mostly rural Midwest. In this article, the authors examine the location choice preferences of firms in three IT industry sectors in metro, metro-adjacent, and nonmetro regions using a highly detailed data set of Kansas industries. The modeling framework combines both conditional logit and Poisson regression models. The results indicate that average establishment size, industry clustering, labor intensity, and county employment growth explain variations in industry location choice preferences across regions.
KW - economic analysis
KW - economic growth and development
KW - location models
KW - methods
KW - other urban and regional spatial structure
KW - policy and applications
KW - regional econometric models
KW - spatial analysis
KW - spatial structure
KW - urban and regional economic development
KW - urban and regional spatial structure
UR - http://www.scopus.com/inward/record.url?scp=84875099366&partnerID=8YFLogxK
U2 - 10.1177/0160017611415268
DO - 10.1177/0160017611415268
M3 - Article
SN - 0160-0176
VL - 36
SP - 207
EP - 234
JO - International Regional Science Review
JF - International Regional Science Review
IS - 2
ER -