The future of UK Carbon pricing: Artificial Intelligence and the Emissions Trading System

Marianne Ojo

MPRA Paper from University Library of Munich, Germany

Abstract: As well as highlighting factors which should be taken into consideration in the Design of a UK Emissions Trading System, This paper aims to address particularly, the question relating to how “in the absence of historical emissions data, the regulator is able to make an environmentally robust assessment of the eligibility and emissions target of a new entrant for the Small Emitter Opt-Out or the Ultra-Small Emitters Exemption, without undermining the environmental integrity of the system”.

Keywords: Emissions Trading System; Artificial Intelligence; Vertical Integration; Block chain systems; Sustainable Development; energy; climate, environment; Ultra-Small Emitters Exemption; trade relationships; transparency; information disclosure (search for similar items in EconPapers)
JEL-codes: E6 E62 F1 F17 F18 G3 G38 K2 M4 (search for similar items in EconPapers)
Date: 2019-07
New Economics Papers: this item is included in nep-big, nep-ene, nep-env, nep-mac, nep-ore and nep-reg
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/94887/1/MPRA_paper_94887.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:94887

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().