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Trading Industry Clusters amid the Legacy of Industrial Land-Use Planning in Southern California

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  • Richard G Funderburg
  • Xiaoxue Zhou

Abstract

This paper tests for excessive employment agglomeration among twenty southern California manufacturing industry clusters using two methods claiming to control for the natural and planned geography constraining industrial location generally. We find broad consistency across the alternative tests; although fewer industry clusters test statistically significant for agglomeration or dispersion using the weighted kernel density estimator than when we use the more established weighted case-control approach. Similarly, the observed values for the former statistic test significant over a subset of the spatial scales over which the case-control method tests significant.

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  • Richard G Funderburg & Xiaoxue Zhou, 2013. "Trading Industry Clusters amid the Legacy of Industrial Land-Use Planning in Southern California," Environment and Planning A, , vol. 45(11), pages 2752-2770, November.
    • Handle: RePEc:sae:envira:v:45:y:2013:i:11:p:2752-2770
    DOI: 10.1068/a45393
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    4. Kevin Kane & Young-An Kim, 2020. "Parcels, points, and proximity: Can exhaustive sources of big data improve measurement in cities?," Environment and Planning B, , vol. 47(4), pages 695-715, May.

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