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Comment to XCL co‐agglomeration index: Distance‐weighted improved DCL index
Author(s) -
Kopczewska Katarzyna
Publication year - 2016
Publication title -
papers in regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.937
H-Index - 64
eISSN - 1435-5957
pISSN - 1056-8190
DOI - 10.1111/pirs.12247
Subject(s) - index (typography) , measure (data warehouse) , economies of agglomeration , statistics , probabilistic logic , mathematics , space (punctuation) , econometrics , fragmentation (computing) , computer science , economics , data mining , microeconomics , world wide web , operating system
Howard, Newman and Tarp have recently developed a new index of co‐agglomeration, XCL, which improves the existing Ellison‐Glaser index. As this new measure is very sensitive to space fragmentation and fails with MAUP, an improvement based on distances between firms is being proposed here. Original Howard's XCL index is based on individual firm data and was constructed as a probabilistic measure. Data aggregation over territories 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 and robust to space division.