scholarly journals Turning over a new leaf: Vape shop closings, openings and transitions in six U.S. metropolitan statistical areas

2021 ◽  
pp. 101428
Author(s):  
Dianne C. Barker ◽  
Lisa Henriksen ◽  
David H. Voelker ◽  
Amna Ali ◽  
Ilana G. Raskind ◽  
...  
Author(s):  
Daniel Crown ◽  
Timothy Wojan ◽  
Anil Rupasingha

Abstract This article estimates the employment spillover effect of high-growth businesses on establishment-level employment growth. We assess whether the impact depends on the rurality of the region, and whether nearby establishments are high-growth businesses themselves. We also estimate the within-industry impact of high-growth establishments (HGEs). The findings show no impact of HGEs on net employment growth, due to equal gross job creation and job destruction on average. However, we find that within the same industry, HGEs contribute to positive net employment growth, with large and nearly equal impacts on existing HGEs across both Metropolitan Statistical Areas regions and non-metro counties.


1996 ◽  
Vol 28 (10) ◽  
pp. 1727-1743 ◽  
Author(s):  
P Gordon ◽  
H W Richardson

In this paper data from the economic censuses are utilized to show that most job growth in the manufacturing, wholesaling, retail, and service industries in the 1982–87 period has been in the urban peripheries of the twelve consolidated metropolitan statistical areas (CMSAs). Similar data for 1976, 1980, and 1986 from another source, the Wharton Urban Decentralization Project, confirm many of these trends, and for a larger set of metropolitan areas. The results show that Los Angeles is more in the middle of the twelve CMSAs than it is an outlier. It is suggested that these common results reflect a common process, that is, an initial movement of households towards the metropolitan edge in search of amenities (or flight from central city ills), followed by the decentralization of firms to increase their access to suburban labor pools.


2019 ◽  
Vol 11 (9) ◽  
pp. 1057 ◽  
Author(s):  
Xi Chen ◽  
William D. Nordhaus

This study extends previous applications of DMSP OLS nighttime lights data to examine the usefulness of newer VIIRS lights in the estimation of economic activity. Focusing on both US states and metropolitan statistical areas (MSAs), we found that the VIIRS lights are more useful in predicting cross-sectional GDP than predicting time-series GDP data. This result is similar to previous findings for DMSP OLS nighttime lights. Additionally, the present analysis shows that high-resolution VIIRS lights provide a better prediction for MSA GDP than for state GDP, which suggests that lights may be more closely related to urban sectors than rural sectors. The results also indicate the importance of considering biases that may arise from different aggregations (the modifiable areal unit problems, MAUP) in applications of nighttime lights in understanding socioeconomic phenomenon.


1984 ◽  
Vol 16 (4) ◽  
pp. 545-550 ◽  
Author(s):  
P B Slater

In a preliminary stage of a complete hierarchical regionalization, a limited number of digraphs are generated by applying thresholds to a doubly standardized 1965–1970 US intercounty migration table. The strong components—sets of mutually reachable vertices—of each digraph are determined by an efficient algorithm. The results indicate that the broadest migration bases are possessed by a pair of Southeastern Florida counties (Dade and Broward); a pair of Chicago area counties (Cook and Du Page); the District of Columbia; and Pierce County, WA, which has a strong concentration of military installations. Several two-county Standard Metropolitan Statistical Areas; the four counties of Hawaii; and most of Connecticut; as well as most of Rhode Island are found to function as migration regions. Though no contiguity constraints are imposed, the clusters—especially relatively small ones—are, as a strong rule, connected. A null hypothesis that these clusters are random can, using asymptotic approximations in this 3140-unit analysis, be rejected. Under an assumption of symmetric linkages, a systematic tendency for counties to have broad migration bases is exhibited.


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