INSTITUTIONS, INEQUALITY, AND LONG-TERM DEVELOPMENT: A PERSPECTIVE FROM BRAZILIAN REGIONS
Notice bibliographique
Résumé
In this paper, we present evidence on the relationship between inequality and long-term development using data on different Brazilian regions. A new framework of analysis is provided in the sense that our empirical approach is developed within a constant de jure institutional environment - Brazil - accounting for possible differences in the de facto institutional environments (Brazilian regions) rooted in distinct colonial experiences within the same national territory. New inequality indicators are constructed from scratch for Brazilian municipalities in 1920 (using the Census of 1920, which, surprisingly, had thus far been ignored for such purposes). We find no significant relationship between economic (land) inequality (proxied by the Land Gini) and political concentration (proxied by the percentage of eligible voters) for Brazilian municipalities in the early twentieth century. And although our econometric analysis indicates a positive robust relationship between economic inequality and long-term development indicators for Southeastern states (São Paulo, the center of coffee production in the nineteenth and twentieth centuries and a state with a large influx of European immigrants, which became the most dynamic Brazilian region; and Minas Gerais, the gold cycle region, shaped also by cattle-farming and coffee production), we find no relationship for Pernambuco, a state in the Northeast region representative of the old agrarian structure of colonial sugar plantations; and a positive and robust relationship for Rio Grande do Sul, a Southern state with a colonial experience more similar to that of the United States and Canada. We found no evidence of a robust relationship between the percentage of eligible voters and long-term development, a surprising result in light of the results provided in development literature, but likely consistent with a politically captured system with very low levels of enfranchisement. These results are shown to hold even when controlling for proxies for structural changes that happened in this time span, namely: urbanization, industrialization, and immigration. Moreover, land inequality in 1920 is at most weakly related to contemporaneous income inequality for Minas Gerais and São Paulo, but significant for Pernambuco and Rio Grande do Sul. In other words, evidence suggests that the positive effects of inequality are associated to a particular structural organization at a specific time, in contrast to a more structural inequality, which, as exemplified by the cases of Pernambuco and Rio Grande do Sul, would have negative or no significant effects on long-term development. Finally, we find no robust relationship between the overall land Gini and long-term economic development. These results highlight the importance of the study of historical and social elements in their respective context, as the results are consistent with the picture of a rural Brazil dominated by agrarian elites within a complex institutional environment.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,008 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».