A Note on Methods for Measuring Industrial Agglomeration

By D. O’Donoghue, Bill Gleave. 2004

224 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1b0f66bb75821c1b539f716dd49d208b25d6c6f8

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In Economics and Econometrics

Citations in the corpus

Measuring Agglomeration Using the Standardized Location Quotient with a Bootstrap Method (2013, methodology): “Figure 1 displays histograms of the SLQ and SLLQ for Food Manufacturing, from which we can observe that the histogram of the SLLQ looks more like a normal distribution than does that of the SLQ.”
Industrial Diversification in Europe: The Differentiated Role of Relatedness (2018, methodology): “enough to identify a specialized industry in a region? The lack of a widely accepted cut-off value of LQ is one main criticism when it comes to the use LQ to identify agglomeration activities (O’Donoghue and Gleave 2004).”
Do Creative Industries Cluster? Mapping Creative Local Production Systems in Italy and Spain (2008, background): “O’Donoghue and Gleave (2004) propose an improved approach to the LQ, solving the cut-off problem, by parametrizing the quotient to a normal function, which allows for the application of statistical levels of significance.”
Identification of Employment Concentration Areas (2014, background): “Instead of these cut-off values, O’Donoghue and Gleave (2004) propose to convert LQ values to standardized LQ values and use statistical significance to determine which LQ values are extremely high.”
Global cluster networks—foreign direct investment flows from Canada to China (2014, background): “If these industrial ensembles have a sufficient scale in meeting distinct 11 There is no commonly accepted LQ criterion for identifying clusters (O’Donoghue and Gleave, 2004).”