JOURNAL ARTICLE

Credit networks and business dynamics in a viceregal capital: Santafé de Bogotá in the age of Charles III.

  • Published In: Financial History Review, 2023, v. 30, n. 3. P. 330 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Granados, Oscar M.; Torres, James V. 3 of 3

Abstract

This article provides aggregate data on credit flows in Santafé de Bogotá, the capital of the Viceroyalty of New Granada (present-day Colombia, Ecuador and western Venezuela). By perusing a thorough report submitted to Bourbon authorities on notarial transactions, which included both ecclesiastical and non-ecclesiastical loans in the city, the article estimates the volume and size of lending activity while exploring how distinct types of credit interacted and shaped the business milieu of the region. It argues that by the late 1770s, Catholic Church lending had ceased to be the main source of investable funds in the region, with merchants and other non-ecclesiastical investors injecting growing funds into sectors traditionally avoided by ecclesiastical lenders such as commerce, mining and manufacturing. Network analysis suggests that merchants became brokers between different credit sources, alleviating information asymmetries and opening the credit market to borrowers with collateral and institutional restrictions willing to pay higher interest rates. Finally, by focusing on New Granada, the largest gold producer of the Spanish Empire, the article identifies some distinctive credit patterns that are different from those developed in silver-driven economies such as New Spain and Peru. Thus, the article provides new paths to study Latin American financial history. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Financial History Review. 2023/12, Vol. 30, Issue 3, p330
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:0968-5650
  • DOI:10.1017/S0968565023000112
  • Accession Number:176504224
  • Copyright Statement:Copyright of Financial History Review is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.