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Clean Technologies and Environmental Policy
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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The impacts of the sulphur emission regulation on the sulphur emission abatement innovation system in the Baltic Sea region

Authors: Anu Lähteenmäki-Uutela; Johanna Yliskylä-Peuralahti; Eunice Olaniyi; Teemu Haukioja; Sari Repka; Gunnar Prause; Olena De Andres Gonzalez;

The impacts of the sulphur emission regulation on the sulphur emission abatement innovation system in the Baltic Sea region

Abstract

According to the Porter hypothesis, regulations on environmental emissions under certain conditions can promote eco-innovation. This is why the technological innovation systems (TIS) theory sees regulatory pressure as a major system function critical in the take-off phase. In other words, the design and timing of any regulation may be decisive for the regulatory outcome. The research seeks to provide empirical evidence on how the Baltic Sea Sulphur Emission Control Area (SECA) has impacted the technological innovation system within the Baltic Sea Region maritime sectors. The results (1) show that regulatory compliance gave a knowledge development that has made it possible for clean-tech companies to engage in entrepreneurial activities that created new markets, (2) empirically support the TIS theory and the Porter hypothesis, and (3) provide qualitative evidence on how businesses see environmental regulation. The innovation system for ship sulphur emission abatement.

Keywords

ta512

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
hybrid