Enquête sur les Entreprises Exportatrices en Amérique Latine et dans les Caraïbes : Comprendre le Nouveau ADN des Exportations (Troisième Édition, Ensemble de Données de Novembre 2022)

By Productivity, Trade and Innovation Sector (VPS/PTI/PTI)

The Institute for the Integration of Latin America and the Caribbean (INTAL) of the Integration and Trade Sector of the Inter-American Development Bank (IDB) conducted this survey of Latin American and Caribbean (LAC) companies that export both within the region and outside the region. The objective of the analysis is to understand how their exports are evolving, what problems they face, what measures they have taken, what public support policies they have received, and what the prospective vision of the companies is.

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Metadata & use

Identifiant https://doi.org/10.60966/1brfgmt0
Licence Creative Commons Attribution 4.0 International
Relation
Citation

Institute for the Integration of Latin America and the Caribbean, 2022, Survey of exporting firms in Latin America and the Caribbean: Understanding the new export DNA (Third Edition, November 2022 Dataset), IDB Open Data, https://doi.org/10.60966/1brfgmt0

Issued date 2021-09-22
Modified date 2025-04-10
Balises/Mots-Clés Companies · Exports · Extra-Regional Trade · Firms · Private Sector · Regional Integration · Regional Trade · Surveys
Langue Spanish
En Série Exporting Firms in Latin America and the Caribbean Surveys
Couverture Temporelle 2020-2022
Couverture Géographique
Argentina
Bahamas
Barbados
Belize
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Honduras
Mexico
Nicaragua
Panama
Paraguay
Peru
Trinidad and Tobago
Uruguay
Venezuela
Couverture Régionale Amérique Latine et Caraïbes
Éditeur
Inter-American Development Bank
Auteur
Institute for the Integration of Latin America and the Caribbean
Type de Collecte de Données Donnée d'enquête
Type Statistique Données Transversales
Structure des Données Structured Data
Notes des Données

Companies surveyed: over 400. Sampling error: 95 percent confidence level with a real error of plus minus 4.8 percent for the entire sample.

Dataset files

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