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Article . 2025
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THE "CHINESE LANDSCAPE" IN FORTALEZA – CE, BRAZIL

Authors: Ferreira, Elidiane Silvia;

THE "CHINESE LANDSCAPE" IN FORTALEZA – CE, BRAZIL

Abstract

This abstract aim to provide an ethnogeographical reading of the landscape shaped by Chinese immigration in downtown Fortaleza, considering the traits and elements of the group's culture as spatialized in the place that receives them. It is emphasized that, among Asian immigration flows, Chinese migrants are among the earliest in Brazil; however, their migration to Fortaleza became consolidated only in the 21st century. We also note that most studies on migratory dynamics focus on economic, political, and environmental aspects. This study is justified by offering a different perspective on the topic, grounded in Cultural Geography, with the purpose of analyzing and reflecting on the transformations of the landscape produced by individuals or groups in a given place as a result of their migratory process.

Proceedings paper from CIMDAB 2025. The PDF was updated before publication to include the reserved Zenodo DOI in the institutional footer.

Keywords

Fortaleza, Landscape, Chinese migration

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average