東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Carbon Credit Card Services and the Impact Potential on CO2 Emissions in the EU-A Scenario-Based Modeling Approach.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Carbon Credit Card Services and the Impact Potential on CO2 Emissions in the EU-A Scenario-Based Modeling Approach./
Author:	Schweers, Sebastian.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	44 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
Contained By:	Dissertations Abstracts International83-12B.
Subject:	Expansion. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29083804
ISBN:	9798819334188

Carbon Credit Card Services and the Impact Potential on CO2 Emissions in the EU-A Scenario-Based Modeling Approach.
Schweers, Sebastian.

Carbon Credit Card Services and the Impact Potential on CO2 Emissions in the EU-A Scenario-Based Modeling Approach. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 44 p.

Source: Dissertations Abstracts International, Volume: 83-12, Section: B.

Thesis (M.M.)--Universidade NOVA de Lisboa (Portugal), 2021.

This item must not be sold to any third party vendors.

The scenario-based modeling approach applies the conceptual background of section 3 for the impact assessment of CCCS. After discussing the persona characteristics, the calculation steps are conducted and its results among the three scenarios are analyzed. In conclusion, recommendations for the CCCS providers as well as an outlook for the future are given. The model calculations reveal a substantial contribution potential of CCCS towards the reduction of CO2 emissions in the EU. Depending on the behavioral change that occurs, the impact potential is assessed to a reduction of -11.6% to -15.2% of annual EU CO2 emissions by 2030.

ISBN: 9798819334188Subjects--Topical Terms:

3690316
Expansion.

Carbon Credit Card Services and the Impact Potential on CO2 Emissions in the EU-A Scenario-Based Modeling Approach.
LDR:01812nmm a2200361 4500 001 2351258
005 20221107085336.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798819334188
035 $a (MiAaPQ)AAI29083804
035 $a (MiAaPQ)Portugal10362129108
035 $a AAI29083804
040 $a MiAaPQ $c MiAaPQ
100 1 $a Schweers, Sebastian. $3 3690822
245 1 0 $a Carbon Credit Card Services and the Impact Potential on CO2 Emissions in the EU-A Scenario-Based Modeling Approach.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 44 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
500 $a Advisor: dos Santos Hortas Pita, Jose Miguel.
502 $a Thesis (M.M.)--Universidade NOVA de Lisboa (Portugal), 2021.
506 $a This item must not be sold to any third party vendors.
520 $a The scenario-based modeling approach applies the conceptual background of section 3 for the impact assessment of CCCS. After discussing the persona characteristics, the calculation steps are conducted and its results among the three scenarios are analyzed. In conclusion, recommendations for the CCCS providers as well as an outlook for the future are given. The model calculations reveal a substantial contribution potential of CCCS towards the reduction of CO2 emissions in the EU. Depending on the behavioral change that occurs, the impact potential is assessed to a reduction of -11.6% to -15.2% of annual EU CO2 emissions by 2030.
590 $a School code: 7029.
650 4 $a Expansion. $3 3690316
650 4 $a Collaboration. $3 3556296
650 4 $a User experience. $3 3543994
650 4 $a Activists. $3 3562405
650 4 $a Emissions. $3 3559499
650 4 $a Nutrition. $3 517777
650 4 $a Carbon footprint. $3 3564744
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Gases. $3 559387
650 4 $a Purchasing. $3 652497
650 4 $a Behavioral psychology. $3 2122788
650 4 $a Psychology. $3 519075
650 4 $a Sustainability. $3 1029978
690 $a 0570
690 $a 0404
690 $a 0338
690 $a 0384
690 $a 0621
690 $a 0640
710 2 $a Universidade NOVA de Lisboa (Portugal). $3 3427984
773 0 $t Dissertations Abstracts International $g 83-12B.
790 $a 7029
791 $a M.M.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29083804