【摘要】Howard, Newman and Tarp have recently developed a new index of co-agglomeration, XCL, which improves the existing Ellison-Glaser index. As this new measureis very sensitive to space fragmentation and fails with MAUP, an improvement based ondistances between ?rms is being proposed here. Original Howard’s XCL index is based onindividual ?rm data and was constructed as a probabilistic m easure. Data aggregatio n overterritories makes it a cluster-based measure. Proposed here distance-weighted improvement,DCL index, is to use its potential to become distance-based measure, resistant to MAUP androbust to space division.

【关键词】Comment to XCL co-agglomeration index: Distance-weightedimproved DCL index

【文献来源】Katarzyna Kopczewska.Papers in Regional Studies.2016（4）