Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27074
Appears in Collections:Economics Journal Articles
Peer Review Status: Refereed
Title: Dynamic Efficiency in Experimental Emissions Trading Markets with Investment Uncertainty
Author(s): Cason, Timothy N
de Vries, Frans
Keywords: Pollution permits
Allowance auction
Grandfathering
Investment incentives
Stochastic R&D
Laboratory experiments
Issue Date: May-2019
Date Deposited: 16-Apr-2018
Citation: Cason TN & de Vries F (2019) Dynamic Efficiency in Experimental Emissions Trading Markets with Investment Uncertainty. Environmental and Resource Economics, 73 (1), pp. 1-31. https://doi.org/10.1007/s10640-018-0247-7
Abstract: This study employs a laboratory experiment to assess the performance of tradable permit markets on dynamic efficiency arising from cost-reducing investment. The permit allocation rule is the main treatment variable, with permits being fully auctioned or grandfathered. The experimental results show significant investment under both allocation rules in the presence of ex ante uncertainty over the actual investment outcome. However, auctioning permits generally provides stronger incentives to invest in R&D, leading to greater dynamic efficiency compared to grandfathering.
DOI Link: 10.1007/s10640-018-0247-7
Rights: © The Author(s) 2018 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

Files in This Item:
File Description SizeFormat 
Cason de Vries (ERE 2018) Dynamic efficiency in experimental emissions trading markets.pdfFulltext - Published Version1.99 MBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.