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The Evolution of the Gravity Model in Social Science: Interpreting Tangible and Intangible Flows

Author

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  • Luigi Capoani

    (Department of Economics, Business, Mathematics and Statistics (DEAMS) University of Trieste)

Abstract

This article provides an overview of the sociophysics gravitational model, tracing its origins back to Newtonian principles and emphasizing the significant contribution of physics to our understanding of the social sciences. Subsequently, it explores the application of gravity within the spatial dimension, emphasizing its relevance within this context. The study encompasses contemporary applications in various fields, including economics and migration studies. Additionally, it specifically addresses the interpretation of both tangible and intangible flows through the lens of gravitational application. This examination highlights the interdisciplinary potential of sociophysics in unraveling intricate social systems, demonstrating how physics sheds light on complex social phenomena. In conclusion, it evaluates the recent emergence of intangible goods and their roles within markets and services, underscoring the evolving dynamics of economic systems.

Suggested Citation

  • Luigi Capoani, 2023. "The Evolution of the Gravity Model in Social Science: Interpreting Tangible and Intangible Flows," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 131(4), pages 459-497.
    • Handle: RePEc:vep:journl:y:2023:v:131:i:4:p:459-497
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    More about this item

    Keywords

    gravity model; demography; migration; sociophysics; economic geography;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • B27 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - International Trade and Finance
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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