Mathematical Limitations of Gravity Model in Constructing Regional Association Networks: A Case Study

This study evaluates the limitations of gravity models in constructing regional association networks, using China’s interprovincial economic connections as a case study. Comparison between a gravity-model-based simulated network and an actual network reveals significant topological differences. The gravity model overestimates the influence of larger, inward-oriented provinces and fails to accurately represent external connections. Attempts to refine the model with additional variables proved ineffective. Further theoretical analysis attributes these deficiencies to measurement bias from the model’s simplified binary perspective and information loss due to dimensional mismatch between pairwise predictions and complex network structures. These findings underscore the need for cautious application of gravity models and the development of more comprehensive analytical frameworks in regional network analysis.

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Publication Details

Journal
Mathematics
Published
2024-10-11
DOI
https://doi.org/10.3390/math12203180
Citations
1
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
0.83

Funders

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article

Mathematical Limitations of Gravity Model in Constructing Regional Association Networks: A Case Study

Lingxiao Li, Qing Qin
1 citations
Mathematics
Global trade and economics
0.83
article

Mathematical Limitations of Gravity Model in Constructing Regional Association Networks: A Case Study

Lingxiao Li, Qing Qin
article en
1 citations

Abstract

This study evaluates the limitations of gravity models in constructing regional association networks, using China’s interprovincial economic connections as a case study. Comparison between a gravity-model-based simulated network and an actual network reveals significant topological differences. The gravity model overestimates the influence of larger, inward-oriented provinces and fails to accurately represent external connections. Attempts to refine the model with additional variables proved ineffective. Further theoretical analysis attributes these deficiencies to measurement bias from the model’s simplified binary perspective and information loss due to dimensional mismatch between pairwise predictions and complex network structures. These findings underscore the need for cautious application of gravity models and the development of more comprehensive analytical frameworks in regional network analysis.

MathematicsVol. 12(20)
Henan University of Science and Technology (CN)
Division of Graduate Education
Openalex Percentile: Top 22%
Global trade and economics
0.83
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