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Employment Center (employment + center)
Selected AbstractsAgglomeration Potential: The Spatial Scale of Industry Linkages in the Southern California EconomyGROWTH AND CHANGE, Issue 1 2008RICHARD G. FUNDERBURG ABSTRACT Targeting industry clusters for economic development has become popular despite the lack of empirical evidence about the spatial scales over which various clusters agglomerate. This paper identifies twenty manufacturing industry clusters from a principal components analysis of interindustry patterns of trade and measures the spatial employment concentration of each cluster's plants within a polycentric framework. Two to eight centers of employment concentration are detected within the Southern California region for each set of trade linkages. Our spatial half-life measure reveals that half of a cluster's employment in associated establishments is located within a typical range of eight to twelve kilometers (about 5,7.5 miles) to the nearest employment center or subcenter for the particular cluster. Furthermore, employment in seventeen of the twenty clusters is found to be more spatially concentrated than manufacturing employment as a whole, suggesting that geographic proximity is important to interindustry linkages in the Southern California economy. More important, the spatial concentration across industry clusters varies considerably within the metropolitan area, implying that economic development practitioners should consider local context and adapt industry cluster theories to the specific advantages and disadvantages of their immediate locality. [source] Public transit and the spatial distribution of minority employment: Evidence from a natural experimentJOURNAL OF POLICY ANALYSIS AND MANAGEMENT, Issue 3 2003Harry J. Holzer A recent expansion of the San Francisco Bay Area's heavy rail system represents an exogenous change in the accessibility of inner-city minority communities to a concentrated suburban employment center. We evaluate this natural experiment by conducting a two-wave longitudinal survey of firms, with the first wave of interviews conducted immediately before the opening of service, and the second wave approximately a year later. Within-firm changes in the propensity to hire minority workers for firms near the station were compared with those located farther away. Also estimated was the effect of employer distance to the new stations on changes in propensity to hire minorities. Results indicate a sizable increase in the hiring of Latinos near the new stations, but little evidence of an effect on black hiring rates. © 2003 by the Association for Public Policy Analysis and Management. [source] Modeling Micro-Spatial Employment Location Patterns: A Comparison of Count and Choice ApproachesGEOGRAPHICAL ANALYSIS, Issue 2 2008Hyungtai Kim This article studies employment location patterns in the Puget Sound Region of Washington State at a micro level of geography. Traditional discrete choice modeling using multinomial logit (MNL) models may be problematic at a micro level of geography due to the high dimensionality of the set of alternative locations and the likely violations of the independence from irrelevant alternatives (IIA) assumption. Count models are free from the IIA assumption and, unlike logit models, actually benefit from large numbers of alternatives by adding degrees of freedom. This study identifies the best-fitting count model as the zero-inflated negative binomial (ZINB) model, because this model more effectively addresses the large number of cells with no jobs and reflects a dual process that facilitates the identification of threshold clustering effects such as those found in specialized employment centers. The estimation and prediction results of ZINB are compared with those of MNL with a random sampling of alternatives estimated on an equivalent data set. The ZINB and MNL models largely agree on major trends, with the ZINB model providing more insightful details, but with less capacity to predict large count situations. [source] DRS. MUTH AND MILLS MEET DR. TIEBOUT: INTEGRATING LOCATION-SPECIFIC AMENITIES INTO MULTI-COMMUNITY EQUILIBRIUM MODELS,JOURNAL OF REGIONAL SCIENCE, Issue 1 2010Dennis Epple ABSTRACT We consider the problem of integrating spatial amenities into locational equilibrium models with multiple jurisdictions. We provide sufficient conditions under which models that assume a single housing price in each community continue to apply in the presence of location-specific amenities that vary both within and across communities. If these conditions are satisfied, the models, estimation methods, and results in Epple and Sieg (1999) are valid in the presence of (potentially unobserved) location-specific amenities. We also show how to construct sufficient statistics that capture location specific spatial heterogeneity. We apply these techniques using data from the Pittsburgh metropolitan area. We find that these amenity measures capture proximity to important local employment centers as well as heterogeneity in school quality within a given school district. [source] | ||||||||||