Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Browse By Descriptor
Search Tips
Annual Meeting Theme
Exhibitors
About Philadelphia
About AERA
Personal Schedule
Sign In
X (Twitter)
This case study adapted Kain’s (1968) spatial mismatch hypothesis to investigate local youth’s equality of opportunity associated with the burgeoning biotechnology industry in metropolitan St. Louis, Missouri. Based on findings from previous literature (Cummings, 2004; Tate, 2008; Tate & Hogrebe, 2011), particular attention was given to black and low-income or poor youth residing near the St. Louis urban core. Geographic Information Systems (GIS) was used to examine the geospatial distribution of biotechnology companies and of black and poor or low-income youth in 29 school districts across metropolitan St. Louis. GIS was also employed to examine youth’s mathematics and science attainment, as measured by the 2013 Missouri Assessment Program (MAP) Algebra I and Biology End-of-Course (EOC) Assessments. Results of the analysis demonstrated that black and poor or low-income youth were concentrated in several school districts with statistically significant clustering of biotechnology companies. Moreover, these youth attended schools in districts with low proportions of students with the level of Algebra I and Biology attainment required for entry-level biotechnology employment. Overall, findings suggest inequitable opportunity related to participation in the biotechnology industry for youth near the St. Louis urban core.