
@article{ref1,
title="Resilience perception of a mining town in eastern Amazonia: a case study of Canaã Dos Carajás, Brazil",
journal="Environmental management",
year="2021",
author="Dos Santos, Jorge Filipe and Mota, José Aroudo and Pereira, Lorena Reis and Matlaba, Valente José",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="The ability of communities to react to risks and disturbances is for their balance, development, and sustainability. The concept of resilience provides a way to think  about policies and actions for future changes in socioeconomic and  ecological-environmental systems. This paper analyzes, in the context of mining, the  perception of the resilience of Canaã dos Carajás population in Pará State,  Brazilian Amazon. The methodology involved face-to-face interviews based on a  structured questionnaire conducted on a sample of 140 residents stratified from 11  social actors in the Canaã community. This approach allowed the evaluation of  resilience perception using 26 interview statements derived from six resilience  theories. Our multivariate analysis found that the level of residents' perception of  resilience was reasonable (with an average score of 3.04 ± 0.22 using a Likert  scale, with a Cronbach's alpha of 0.788). The interviewees pointed out one positive  and five negative factors that influenced the level of resilience in Canaã. According to residents' perceptions, the resilience of Canaã dos Carajás was  moderate but could have been improved with more economic diversification, more  infrastructure, and less inequality in access to services and participation in  decision-making. The considered most relevant themes were problems caused by mining  in the municipality, quality of life issues, difficulties dealing with change after  the arrival of mining, and economic problems. This study contributes to the  literature because it used theories as a conceptual orientation for the development  of a resilience scale to measure resilience at the community level in the context of  large-scale mining.<p /> <p>Language: en</p>",
language="en",
issn="0364-152X",
doi="10.1007/s00267-020-01405-2",
url="http://dx.doi.org/10.1007/s00267-020-01405-2"
}