Using longitudinal employer dynamics (LED) data for the analysis of Memphis Aerotropolis,Tennessee |
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| Institution: | 1. Department of Clinical Pharmacy, University of Tennessee College of Pharmacy, Memphis, TN, USA;2. University of Tennessee Health Science Center, Memphis, TN, USA;3. Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA;4. Department of Medicine, Duke University School of Medicine, Durham, NC, USA;5. University of Tennessee College of Pharmacy, Memphis, TN, USA;1. Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN, United States;2. Department of Medicine, Division of General Internal Medicine, University of Tennessee Health Science Center, Memphis, TN, United States;3. Department of Health Promotion and Disease Prevention, University of Tennessee Health Science Center, Memphis, TN, United States;4. Center for Health System Improvement, University of Tennessee Health Science Center, Memphis, TN, United States;5. Departments of Medicine and Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, United States;1. Department of Epidemiology and Statistic, School of Public Health, Wuhan University, Wuhan, China;2. Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada;3. Center for Health Evaluation and Outcomes Sciences, Vancouver, British Columbia, Canada;4. Division of General Internal Medicine, University of British Columbia, Vancouver, British Columbia, Canada;1. School of Public health, Peking University, Haidian District, Beijing 100191, China;1. Eli Lilly and Company, Toronto, Ontario, Canada;2. Eli Lilly and Company, Corporate Center, Indianapolis, Indiana;3. Lilly USA, LLC, Corporate Center, Indianapolis, Indiana;4. Practice Fusion, San Francisco, California |
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| Abstract: | We used Longitudinal Employer Dynamics (LED) data for the analysis of the local workforce and job markets in Shelby County, Tennessee, which includes the city of Memphis. Memphis has earned the unique reputation in the US as America's Aerotropolis. However, the model has not yet received full attention by the urban geography community. This study analyzes the Memphis Aerotropolis (MA) defined as an economic hub extending outward from the Memphis International Airport into a surrounding area that specializes in transportation and warehousing. Our findings reveal polycentric pattern of employment which we grouped into centers, subcenters, and clusters. To understand industrial specialization of job areas, we used location quotient analysis. The area around the airport is consistent with the “Aerotropolis” concept, and attracts both jobs (it is the largest job concentration in the region) and housing. The area also has a greater share of higher-paying jobs, however female and minority workers benefit less than white male workers. This study contributes to the body of research on the spatial aspects of racial, gender, and paying/earning characteristics of both jobs and workers of a current-day metropolis. Availability of the LED data enables easy replication of the analysis of the local job and labor structure elsewhere within the United States. |
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| Keywords: | Employment structure Workforce Aerotropolis |
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