Abstract
US counties are shifting from nonmetropolitan to metropolitan status during past decades which leads to spatially heterogeneous demographic and economic changes. Exploring the local industrial-occupational structure is key to understanding the metropolitanization process. This study investigated 365 rock music artists performing in concerts in the contiguous U.S. between 2000 and 2019 which gave over 79,000 rock music live performances. Relying upon application programming interface (API) services, concert information was collected from the Spotify music database. Based on these data, this study aims to estimate a spatiotemporal model to construct a profile of the live music industry in the evolution of US counties. The analytic design used both ordinary least squares (OLS) and geographically weighted regression (GWR) regression approaches for the sake of understanding how the live music industry operates during leisure and hospitality (LH) workforce development and population demographic changes. The results indicated that selected demographic factors and LH employment were significantly related to the number of rock concerts and signified that the response of the live music industry to the shifting metropolitan status of counties was non-stationary over time. The spatial variability of model estimates exhibits a varied relationship between LH employment and rock concerts at the county scale. This study explores the rock concert linked to the LH industry that offers an understanding of the spatiotemporal dynamics of the live music industry. The result implies that the live music industry was undergoing a growth that can be explained by LH workforce development in the context of metropolitanization.
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Li, T. A Spatiotemporal Analysis of Rock Concerts Associated with Demographics and Leisure and Hospitality Employment. J geovis spat anal 6, 18 (2022). https://doi.org/10.1007/s41651-022-00116-y
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DOI: https://doi.org/10.1007/s41651-022-00116-y