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Dataset from Zenodo · Brown, Scott

Formalizing Symbolic Capital: Blockchain Titling and the Invisible Art Market in the Global South

Open on Zenodo
License
CC BY 4.0commercial use allowedLicense text
This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
Formats
MD, PY, CSV, XLSX
Size
532 kB
Updated
May 11, 2025

Description

Title: The Invisible Art Market: Informal Networks, Symbolic Capital, and Market Activity in Latin America DOI: 10.5281/zenodo.15383517 Creators: Brown, Scott (University of Puerto Rico – Río Piedras, Professor of Finance) Description: This dataset supports the empirical analysis presented in “The Invisible Art Market: Informal Networks, Symbolic Capital, and Market Activity in Latin America.” The study investigates how weak institutional frameworks, symbolic capital, and informal networks shape national art market development, with a special focus on BRIC countries and Latin America. The dataset integrates four key sources: Art Sales Data (2021–2024) across Brazil, Russia, India, and China (BRIC) compiled from Artprice and Art Basel reports. Macroeconomic indicators from the World Bank’s GDP data. Institutional quality metrics using the International Property Rights Index (IPRI) and V-Dem rule of law variables. A regression analysis (replicable via the art market brics.py Python script) demonstrates that stronger property rights (IPRI) and higher GDP are statistically associated with increased national art sales, even in non-Western economies…

Description from Zenodo, shortened.

Files (6)

  • MDREADME.md3.2 kB
  • PYart_market_brics.py2.8 kB
  • CSVBRIC_Art_Sales_2021_2024.csv141 byte
  • XLSXIPRI_Country_Tables_Manual.xlsx18 kB
  • CSVGDP.csv179 kB
  • XLSXvdem_variables_filtered_1996_onward.xlsx329 kB

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