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What are the drivers of the Swedish sustainable development path?: New evidence from Bayesian Dynamic Linear Models
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Social Sciences.ORCID iD: 0000-0001-7206-6568
Department of Geography and Economic History and Centre for Environmental and Resource Economics.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Social Sciences.ORCID iD: 0000-0002-9832-7866
Department of Statistics, Universidad Carlos III de Madrid.
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we use Swedish Genuine Savings (GS) indicators, extended to account for a wider range of impacts on natural and human capital than previous GS indicators, to study Swedish long-term sustainability. Following Ferreira et al (2008) and Greasley et al (2014), technological progress and population effect are also included in the GS measures. We introduce a new quantitative methodology to the literature on sustainable development by applying Bayesian analysis of Dynamic Linear Models (DLMs) to GS indicators. This is the first time that parameter uncertainty has been used in examining the links between GS and long term well-being, providing new empirical evidence on the driving forces that underpin Swedish sustainable development.

Place, publisher, year, edition, pages
2017.
National Category
Economics and Business Economics
Research subject
Economics
Identifiers
URN: urn:nbn:se:ltu:diva-65124OAI: oai:DiVA.org:ltu-65124DiVA, id: diva2:1133524
Conference
XX Applied Economics Meeting, Valencia, 8th-9th JUNE 2017
Available from: 2017-08-16 Created: 2017-08-16 Last updated: 2017-11-24Bibliographically approved

Open Access in DiVA

fulltext(395 kB)105 downloads
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Type fulltextMimetype application/pdf

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Stage, JesperNguyen Thu, Huong

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
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