Regional Opportunities for China To Go Low-Carbon: Results from the REEC Model
Hongbo Duan, Lei Zhu, Gürkan Kumbaroglu, and Ying Fan
The Energy Journal, 2016, vol. Volume 37, issue China Special Issue
Abstract:
The intention of this paper is to (i) introduce a multi-regional dynamic emissions trading model and (ii) examine the potential impact of an emissions trading scheme (ETS) on the long-term evolution of energy technologies from national and regional perspectives in China. The establishment of this model is a salutary attempt to Sinicize the global integrated assessment model that combines economy, energy, and environment systems. The simulation results indicate that: (1) for majority of regions, ETS is more effective in cutting CO2 emissions than a harmonized carbon tax (HCT), but this might not be true for the entire country, which means that these two options have little difference in overall carbon reduction; (2) carbon tax policy is a more cost-effective option in curbing CO2 with respect to ETS in the long run; (3) neither ETS nor pure carbon tax provide enough incentives for the breakthrough of carbon-free energy technologies, which illustrates that matching with some other support policies, such as subsidies and R&D investment, is essential to extend the niche market; and (4) In the context of ETS, the diffusion of non-fossil technologies in regions that act as sellers performs much better than this diffusion in the buyer regions.
JEL-codes: F0 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.iaee.org/en/publications/ejarticle.aspx?id=2711 (text/html)
Access to full text is restricted to IAEE members and subscribers.
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:aen:journl:ej37-si1-lei
Ordering information: This journal article can be ordered from
http://www.iaee.org/en/publications/ejsearch.aspx
Access Statistics for this article
More articles in The Energy Journal from International Association for Energy Economics Contact information at EDIRC.
Bibliographic data for series maintained by David Williams ().