Geographic Concentration in U.S. Manufacturing Industries: A Dartboard  Approach

Ellison, Glenn; Glaeser, Edward L.

doi:10.3386/w4840

Cited by 856 publications

(1,179 citation statements)

References 16 publications

Supporting

Mentioning

1,107

Contrasting

Unclassified

Order By: Relevance

“…As will be shown in Section 5, industries generally exhibit wide variations in GE and LD. With respect to scalar measures of agglomeration, it will also be shown and that those of Ellison and Glaeser [10] and Mori et al [34] are roughly equally well represented by these two components, while the scalar measure of Duranton and Overman [9] is more strongly associated with GE.…”

Section: Introductionmentioning

confidence: 92%

“…Finally, it should be noted that measures of agglomeration based on point data (as in Duranton and Overman [9]) are often considered to be "less biased" than those based on regional data (as in Ellison and Glaeser [10] and Mori et al [34]). In particular, such measures are not restricted by either the size or shapes of existing regional units.…”

Section: On the Modifiable Areal Unit Problemmentioning

confidence: 99%

“…The standard approach to studying industrial agglomeration has focused on the overall degree of agglomeration for each industry, and typically measures the discrepancy between industry-specific regional distributions of establishments (or employment) and a given hypothetical reference distribution representing "complete dispersion" in terms of some scalar index (e.g., Ellison and Glaeser [10], Duranton and Overman [9], Brülhart and Traeger [4], Mori et al [34]). 1 But even if industries are judged to be similar with respect to these indices, their spatial patterns of agglomeration may be quite different.…”

Section: Introductionmentioning

confidence: 99%

“…In terms of popularity, the primary index has been the -index developed by Ellison and Glaeser [10]. For a given industry i 2 I, the -index is defined by…”

mentioning

confidence: 99%

See 3 more Smart Citations

On the spatial scale of industrial agglomerations

Mori

Smith

2015

Journal of Urban Economics

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in January 2015 AbstractStandard approaches to studying industrial agglomeration have been in terms of scalar measures of agglomeration within each industry. But such measures often fail to distinguish spatial scales of agglomeration. In a previous paper, Mori and Smith [37] proposed a pair of quantitative measures for distinguishing both the scale and degree of industrial agglomeration based on an explicit method for detecting spatial clusters. The first, designated as the global extent of industrial clusters, measures the spatial spread of these clusters in terms of the areal size of their essential containment, defined to be the (convex-solid) region containing the most significant subset of these clusters. The second, designated as the local density of industrial clusters, measures the spatial extent of individual clusters within their essential containment in terms of the areal share of that containment occupied by clusters. The present paper applies this pair of measures to manufacturing industries in Japan, and the results obtained are systematically compared to those of the most prominent scalar measures currently in use. Finally, these measures are shown to support certain predictions of new economic geography models concerning the relationship between shipment distances and spatial scales of agglomeration for individual industries.JEL Classifications : C49, L60, R12, R14

show abstract

Section: Introductionmentioning

confidence: 92%

Section: On the Modifiable Areal Unit Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In terms of popularity, the primary index has been the -index developed by Ellison and Glaeser [10]. For a given industry i 2 I, the -index is defined by…”

mentioning

confidence: 99%

See 2 more Smart Citations

On the spatial scale of industrial agglomerations

Mori

Smith

2015

Journal of Urban Economics

View full text Add to dashboard Cite

show abstract

“…These employees' or firms' characteristics will, therefore, only play a role if there are factors that attract firms or employees with certain characteristics to specific spatial units. While some effects of this kind can be expected, we know from empirical studies of the distribution of industries in space (see Ellison and Glaeser, 1997) that spatial units are characterized by highly different industrial structures. For one thing, these differences in industrial structure refer to different types of industries and rates of innovation.…”

Section: Industry Specificitymentioning

confidence: 99%

Measuring Regional Innovativeness - A Methodological Discussion and an Application to One German Industry

Broekel¹,

Brenner

2007

SSRN Journal

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Tom Broekel * Terms of use: Documents in Thomas BrennerMax Planck Institute of Economics, Jena, Germany Abstract The regional or national innovation performance has been repeatedly measured in the literature; but it has so far not been discussed what this means, especially in relation to a region. What is the contribution of a region to innovation output? The usual approaches implicitly assume that higher innovation outputs per inhabitant, employee, or R&D employee can be assigned to a region. We argue that more insights are gained if we distinguish between various mechanisms that influence the innovation activities in a region. Different analyses need to be conducted, using different variables and including different local factors. Furthermore, we see no justification for using a linear dependence of innovation activity on the number of inhabitants or employees as a benchmark for performance. We use a method that takes into account these arguments and apply it to the Electrics & Electronics industry in Germany.JEL-classification: R11, R15, O31

show abstract

The geographic sources of foreign subsidiaries' innovations

2001

View full text Add to dashboard Cite

This study contributes to the literature on the nature and evolution of the multinational enterprise by exploring the geographic origins of the knowledge sources utilized by foreign subsidiaries during the process of technological innovation. Through a synthesis of the multinational literature and the broader literature on external sources of innovation, I develop and test a set of hypotheses that explain the conditions under which innovating subsidiaries are likely to draw upon sources of knowledge located in the home base of the firm and/or the subsidiary's host country environment. The hypotheses are tested through an analysis of the citations listed on over 10,000 patents issued to U.S. greenfield subsidiaries between 1980 and 1990. Copyright © 2001 John Wiley & Sons, Ltd.

show abstract

Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach

Cited by 856 publications

References 16 publications

On the spatial scale of industrial agglomerations

On the spatial scale of industrial agglomerations

Measuring Regional Innovativeness - A Methodological Discussion and an Application to One German Industry

The geographic sources of foreign subsidiaries' innovations

Contact Info

Product

Resources

About