Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/14968
Title: Environmental Kuznets curve and the pollution-halo/haven hypotheses : an investigation in Brazilian municipalities.
Authors: Silva, Eduardo Polloni
Ferraz, Diogo
Camioto, Flávia de Castro
Rebelatto, Daisy Aparecida do Nascimento
Moralles, Herick Fernando
Keywords: Foreign direct investment
Economic growth
Carbon dioxide - CO2 - emissions
Pollution
São Paulo
Issue Date: 2021
Citation: SILVA, E. P. et al. Environmental Kuznets curve and the pollution-halo/haven hypotheses: an investigation in Brazilian municipalities. Sustainability, v. 13, 2021. Disponível em: <https://www.mdpi.com/2071-1050/13/8/4114>. Acesso em: 24 maio 2022.
Abstract: There is much discussion on the non-linear relationship between economic growth and carbon dioxide (CO2) emissions. Additionally, the effects of Foreign Direct Investment (FDI) on the environment are ambiguous, as both beneficial (i.e., pollution-halo) and harmful (i.e., pollution- haven) effects were found. Therefore, the literature presents no consensus on either of these topics. This is especially problematic for developing regions, as these regions represent growing economies interested in receiving foreign investments, and their CO2 -related research is limited. This study aims to understand the impacts of economic growth and FDI on the CO2 emissions of São Paulo state, Brazil. To perform this study, a unique dataset on regional FDI was built, and 592 municipalities were included. The analyses combine linear and non-linear estimations, and the results suggest a non-linear relationship between Gross Domestic Product (GDP) per capita and CO2 emissions, along with a negative association between FDI and CO2 . Finally, this study discusses possible policy implications and contributes to the international literature.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/14968
metadata.dc.identifier.doi: https://doi.org/10.3390/su13084114
ISSN: 2071-1050
metadata.dc.rights.license: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). Fonte: o PDF do artigo.
Appears in Collections:DEECO - Artigos publicados em periódicos

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