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Convergence of carbon dioxide emissions in the Americas and its determinants
Jönköping University, Jönköping International Business School, JIBS, Economics.ORCID iD: 0000-0002-3650-1400
Jönköping University, Jönköping International Business School, JIBS, Economics. Jönköping University, Jönköping International Business School, JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE).ORCID iD: 0000-0002-7902-4683
2022 (English)In: Latin American Economic Review, E-ISSN 2198-3526, Vol. 31, no 10, article id 10Article in journal (Refereed) Published
Sustainable development
Sustainable Development
Abstract [en]

This paper investigates the convergence behaviour of carbon dioxide emissions for 39 countries in the Americas from 1960-2016. A linear regression test of convergence which looks for conditional sigma convergence is employed, and a clustering algorithm is used to identify convergence clubs. The results show evidence of convergence in the region for the long run. Convergence clubs are identified for the short run. The convergence clubs show some relation to spatial distribution and income level. Possible factors determining the formation of convergence clubs are investigated through logistic regression. Initial level of emissions and energy intensity were found to have the largest impact determining what convergence club a country belongs to. Per capita GDP, trade openness, and renewable energy were all found to be highly significant factors determining what convergence club a country belongs to as well. Different results were found for urbanization’s impact in determining the formation of convergence clubs. These findings show that policymakers should promote allocation schemes for carbon dioxide emissions. Policymakers should also aim to reduce carbon footprint based on the economy’s structural characteristics.

Place, publisher, year, edition, pages
Centro de Investigacion y Docencia Economicas , 2022. Vol. 31, no 10, article id 10
Keywords [en]
carbon dioxide emissions, emission intensity, club convergence
National Category
Economics
Identifiers
URN: urn:nbn:se:hj:diva-59099ISI: 000996347600001Local ID: POA;;1716471OAI: oai:DiVA.org:hj-59099DiVA, id: diva2:1716471
Available from: 2022-12-06 Created: 2022-12-06 Last updated: 2023-06-16Bibliographically approved

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Heshmati, Almas

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CiteExportLink to record
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Citation style
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