A classification of economic activities based on location patterns

Bergsman, Joel; Greenston, Peter M.; Healy, Robert G.

doi:10.1016/0094-1190(75)90037-6

Cited by 29 publications

(14 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The regression model was set up with the dispersion parameter k of the negative binomial distribution as the dependent variable and the result showed several positively as well as negatively related variables in explaining the spatial clustering of establishments. While most approaches up to this point have focused on intraindustry distribution pattern, more attention was paid to interindustry distribution in the research accomplished by Bergman et al (1975). The authors questioned the feasibility of using the SIC when considering distribution patterns of industries.…”

Section: Clustering and Agglomeration Economiesmentioning

confidence: 99%

Do birds of a feather flock together?: Economic linkage and geographic proximity

Sohn¹

2004

The Annals of Regional Science

View full text Add to dashboard Cite

Spatial association patterns of manufacturing activities are examined in this paper with the corresponding economic linkage patterns. Four specifications are used to measure the spatial association pattern: intraindustry/intracounty (locational Gini), intraindustry/intercounty (Moran’s I), interindustry/ intracounty (correlation coefficient) and interindustry/intercounty (“spatial” correlation coefficient). Two sets of spatial specification were used for the different locational context: unconstrained (full dataset) and constrained (dataset without zeros). The result on the 3,110 US counties for 361 manufacturing sectors revealed that, in the intraindustry context, there is little proof that stronger economic linkage results in and/or from a more concentrated pattern of the industry. However, interindustry economic linkage reflected and/or was reflected from the spatial distribution pattern in a significantly positive way. There was a pattern in the intraindustry model that the industry that showed clustering at a county scale had relatively weaker spatial concentration at a multi-county scale and vice versa. Results of the unconstrained and constrained specification of the data revealed important differences, implying that special care should be taken in the spatial specification to be used and how the results are to be interpreted. However, the relationship between economic linkage and spatial proximity did not substantially change between two cases except Moran’s I that had conflicting signs. Copyright Springer-Verlag 2004

show abstract

Section: Clustering and Agglomeration Economiesmentioning

confidence: 99%

Do birds of a feather flock together?: Economic linkage and geographic proximity

Sohn¹

2004

The Annals of Regional Science

View full text Add to dashboard Cite

show abstract

“…A number of studies of clustering trends among multiple industries were undertaken in the 1960s, 70s, and 80s (e.g., Streit 1969;Richter 1969;Bergsman et al 1972Bergsman et al , 1975Campbell 1972Campbell , 1974Czamanski 1974Czamanski , 1976Latham 1976;O Â hUallacha Âin 1984O Â hUallacha Âin , 1985. As we noted above, there is also a large literature that examines methods for analyzing economic association as revealed in input-output tables, both for the purposes of de®ning proper industrial aggregations or classi®cation schemes (e.g., Kymn 1990; Cabrer and Contreras 1991;Oksanen and Williams 1992;O Â hUallacha Âin 1985) and for understanding the structure of economies (e.g., Olli 1992;Ghosh and Roy 1998;Gregory and Schachter 1999).…”

Section: Identifying Economic Clustersmentioning

confidence: 99%

A test for the coincident economic and spatial clustering of business enterprises

Feser¹,

Sweeney

2000

J Geograph Syst

View full text Add to dashboard Cite

This paper uses input-output data combined with point process modeling techniques to test whether enterprises linked within nominal buyersupplier chains have a greater propensity to cluster in space than manufacturing enterprises in general. The methodology controls for the general tendency of ®rms to seek locations in concentrated agglomerations and isolates the in¯uence of ®rm interdependence on spatial clustering. Our ®ndings suggest that there is indeed an association between economic linkages and geographic clustering in our study area, but only for some types of economic clusters, mainly those that are comprised mainly of more knowledge-based or technology-intensive sectors. In general, we endeavor to show that spatial analytical methods hold considerable promise for conducting rigorous tests of industrial location questions.

show abstract

“…The effect can in part be thought of as a generalized expression of the multiple agglomeration economies that make their way into regional and urban economies as total production and the number of individual producers increase. Economies of this kind which are external to the firm are known as external economies of scale, and they have been described at considerable length by such urban and regional analysts as Bergsman et al (1972Bergsman et al ( , 1975, Czamanski and Ablas (1979), Hoover and Vernon (1959), Lie'htenburg (1960), Marcus (1965), Mera (1970), Struyk (1972aStruyk ( , 1972b, Townroe (1970), and Townroe and Roberts (1980)). …”

Section: Location Linkage Structure and Agglomeration Processesmentioning

confidence: 97%

Location and linkage systems: A survey and reassessment

Scott

1983

Ann Reg Sci

View full text Add to dashboard Cite

The paper constitutes a survey and reassessment of the literature on location and linkages. The analysis begins with a brief review of published work on the formal character of complexes of economic activity. The issue of agglomeration economies and linkage structure is then discussed and its relation to urbanization phenomena examined. From here, the account moves into a detailed investigation of the role of transport costs in the determination of linkage patterns. An attempt is made to systematize the evidenee from a large number of applied studies on the various effects of the clustering and dispersal of productive activities on linkage structure. Various empirical analyses of the organization of production units and its effect on linkages are reviewed. A composite theory is then proposed on the basis of an account of the common dependence of both location and linkage on broad production system dynamics. The paper concludes with a brief glimpse at the possibilities of extending the theoretical apparatus developed here by integrating it with work that is currently going forward on the form and evolution of local labor markets.

show abstract

A classification of economic activities based on location patterns

Cited by 29 publications

References 2 publications

Do birds of a feather flock together?: Economic linkage and geographic proximity

Do birds of a feather flock together?: Economic linkage and geographic proximity

A test for the coincident economic and spatial clustering of business enterprises

Location and linkage systems: A survey and reassessment

Contact Info

Product

Resources

About