dc.contributor.advisor |
De Cian, Enrica |
it_IT |
dc.contributor.author |
Biagie, Cecilia <1997> |
it_IT |
dc.date.accessioned |
2023-06-18 |
it_IT |
dc.date.accessioned |
2023-11-08T14:55:31Z |
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dc.date.available |
2023-11-08T14:55:31Z |
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dc.date.issued |
2023-07-18 |
it_IT |
dc.identifier.uri |
http://hdl.handle.net/10579/24007 |
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dc.description.abstract |
Abstract
The focus of this paper is to explore the effects of globalization and trade on the environment by incorporating the environmental Kuznets curve hypothesis (EKC). The paper uses panel data spanning 1985-2019 from a global standpoint by taking data from 100 developing and developed countries ranging from Europe, Asia, the pacific, Africa, Latin America, etc. The top seven sectors that are the biggest polluters are analyzed. This includes transport, Energy (electricity and heating), agriculture, fashion, technology, manufacturing and construction and food retail. This is done in order to check per capita output level and carbon dioxide emissions for the different sectors. Secondly, the autoregressive distributed lag (ARDL) model is used which allows us to evaluate valid and consistent results. The study adds to the existing literature as it recommends a sustainable solution that can be applied to countries for carbon emission reduction and challenges of globalization in the presence of trade.
Keywords: EKC, Trade, ARDL Model, CO2 emissions, Globalization |
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dc.language.iso |
en |
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dc.publisher |
Università Ca' Foscari Venezia |
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dc.rights |
© Cecilia Biagie, 2023 |
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dc.title |
Topic: Effects of globalization and trade on the environment. An Environmental Kuznets Curve Hypothesis
Subtopic: should globalization and trade be at the expense of the physical environment? |
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dc.title.alternative |
Effects of Globalization and Trade on the environment: an environmental Kuznets Curve Hypothesis |
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dc.type |
Master's Degree Thesis |
it_IT |
dc.degree.name |
Relazioni internazionali comparate |
it_IT |
dc.degree.level |
Laurea magistrale |
it_IT |
dc.degree.grantor |
Dipartimento di Studi Linguistici e Culturali Comparati |
it_IT |
dc.description.academicyear |
2022/2023_sessione estiva_10-luglio-23 |
it_IT |
dc.rights.accessrights |
openAccess |
it_IT |
dc.thesis.matricno |
887923 |
it_IT |
dc.subject.miur |
SECS-S/03 STATISTICA ECONOMICA |
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dc.description.note |
This thesis examines the impact of globalization and trade on the environment, focusing on carbon dioxide emissions. Specifically, it tests the Environmental Kuznets Curve (EKC) hypothesis, which suggests that environmental degradation initially worsens with economic growth but eventually improves once a certain level of development is reached. Two dependent variables are used namely: production-based carbon emissions and consumption-based carbon emissions. The thesis employs an econometric model called Autoregressive Distributed Lag (ARDL) model to analyse panel data from 56 countries over the period of 1990-2021 and for economic sectors, including agriculture, Forestry and Fishing, Fossil fuel and Energy consumption, Alternative and Nuclear Energy, and renewable energy consumption. |
it_IT |
dc.degree.discipline |
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dc.contributor.co-advisor |
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dc.date.embargoend |
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it_IT |
dc.provenance.upload |
Cecilia Biagie (887923@stud.unive.it), 2023-06-18 |
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dc.provenance.plagiarycheck |
None |
it_IT |