Testing Problems of Agglomeration Degree Algorithms Based on Shaanxi Data | IEEE Conference Publication | IEEE Xplore

Testing Problems of Agglomeration Degree Algorithms Based on Shaanxi Data


Abstract:

In order to test potential problems of agglomeration degree algorithms, EG algorithm is presented to measure the industrial agglomeration for each of 90 industries and th...Show More

Abstract:

In order to test potential problems of agglomeration degree algorithms, EG algorithm is presented to measure the industrial agglomeration for each of 90 industries and their sub-industries based on micro data of firms in Shaanxi. Conclusions are drawn that: (1) Modifiable areal unit problem exists because of decreasing agglomeration with smaller geographic areas aggregation; (2) Average agglomeration of sub-industries is mostly higher than their parent industries; (3) HHI has insignificant correlation with industrial agglomeration; (4) Agglomeration measured based on data of manufacturing industries has similar results with data of overall industries.
Date of Conference: 06-08 January 2023
Date Added to IEEE Xplore: 28 April 2023
ISBN Information:
Conference Location: Xishuangbanna, China

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