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

被引:35
作者
Dorfman, Jeffrey H. [1 ]
Partridge, Mark D. [2 ]
Galloway, Hamilton [3 ]
机构
[1] Univ Georgia, Dept Agr & Appl Econ, Athens, GA 30602 USA
[2] Ohio State Univ, Dept Agr Environm & Dev Econ, Columbus, OH 43210 USA
[3] Econ Modeling Specialists Inc, Moscow, ID 83843 USA
关键词
Bayesian econometrics; high-tech employment; smooth coefficient models; spatial modelling; REGIONAL ECONOMIC-DEVELOPMENT; QUALITY-OF-LIFE; URBAN-GROWTH; CITIES; INDUSTRY; TECHNOLOGY; EMPLOYMENT; CLUSTERS; COUNTIES;
D O I
10.1080/17421772.2011.610811
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:397 / 422
页数:26
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