Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment

Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project... Measuring the energy conservation and carbon emission reduction potential proves the fundamental basis for stakeholders in the cooperation over Clean Development Mechanism (CDM) projects. This research adopts the meta-frontier non-radial directional distance function based on the Data Envelopment Analysis (DEA) window analysis to measure the total factor energy efficiency and carbon emission performance of leading countries involved in CDM projects during 1990–2015. This study employs the panel quantile regression to investigate the dynamic impact of CDM projects on different energy efficiency and carbon emission performance of CDM host countries. The results indicate that, first of all, the total factor energy efficiency and carbon emission performance of CDM host countries appear much lower than those of investment countries. Second, the technology gap of energy-use and carbon emissions reduction between CDM host and investment countries is significant. Finally, with the increase of total factor energy efficiency and carbon emission performance in CDM host countries, the impact of CDM projects on their energy efficiency is always negative, and that on their carbon emission performance gradually varies from positive to negative, meaning that CDM projects are not necessarily helpful to improve the energy efficiency and carbon emission performance in host countries. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Energy Policy Elsevier

Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment

Loading next page...
 
/lp/elsevier/energy-efficiency-carbon-emission-performance-and-technology-gaps-UFHZ0c8sKm
Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0301-4215
D.O.I.
10.1016/j.enpol.2017.12.056
Publisher site
See Article on Publisher Site

Abstract

Measuring the energy conservation and carbon emission reduction potential proves the fundamental basis for stakeholders in the cooperation over Clean Development Mechanism (CDM) projects. This research adopts the meta-frontier non-radial directional distance function based on the Data Envelopment Analysis (DEA) window analysis to measure the total factor energy efficiency and carbon emission performance of leading countries involved in CDM projects during 1990–2015. This study employs the panel quantile regression to investigate the dynamic impact of CDM projects on different energy efficiency and carbon emission performance of CDM host countries. The results indicate that, first of all, the total factor energy efficiency and carbon emission performance of CDM host countries appear much lower than those of investment countries. Second, the technology gap of energy-use and carbon emissions reduction between CDM host and investment countries is significant. Finally, with the increase of total factor energy efficiency and carbon emission performance in CDM host countries, the impact of CDM projects on their energy efficiency is always negative, and that on their carbon emission performance gradually varies from positive to negative, meaning that CDM projects are not necessarily helpful to improve the energy efficiency and carbon emission performance in host countries.

Journal

Energy PolicyElsevier

Published: Apr 1, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off