A Rough Set Based Assessment of the Strategies to Reduce Greenhouse Gas Emissions: A Tanzanian Shipping Sector Perspective. (31st March 2016)
- Record Type:
- Journal Article
- Title:
- A Rough Set Based Assessment of the Strategies to Reduce Greenhouse Gas Emissions: A Tanzanian Shipping Sector Perspective. (31st March 2016)
- Main Title:
- A Rough Set Based Assessment of the Strategies to Reduce Greenhouse Gas Emissions: A Tanzanian Shipping Sector Perspective
- Authors:
- Massami, Erick P.
Myamba, Benitha M. - Other Names:
- Pardalos Panos Academic Editor.
- Abstract:
- Abstract : The Greenhouse Gas (GHG) emissions due to transport operations have drastically increased in recent years. The sea transport in particular contributes 2.7 to 3 percent of CO2, a major component of GHG emissions globally. Numerous measures have been undertaken locally and internationally to alleviate the sea transport share of Greenhouse Gases. However, most of these measures will be fruitful if ship investors (e.g., ship owners and operators) would fully employ the GHG emission reduction strategies. Due to the scarcity of the statistical data in this respect, this study therefore presents a rough set synthetic assessment (RSSA) model to GHG emission abatement strategies in the Tanzanian shipping sector. The results of the assessment reveal that the Tanzanian shipping companies engaged in Cabotage trade are aware of the abatement strategies and moderately apply them.
- Is Part Of:
- Advances in decision sciences. Volume 2016(2016)
- Journal:
- Advances in decision sciences
- Issue:
- Volume 2016(2016)
- Issue Display:
- Volume 2016, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 2016
- Issue:
- 2016
- Issue Sort Value:
- 2016-2016-2016-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-03-31
- Subjects:
- Decision making -- Periodicals
Decision making
Electronic journals
Periodicals
519 - Journal URLs:
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http://0-search.ebscohost.com.pugwash.lib.warwick.ac.uk/direct.asp?db=bth&jid=B54T&scope=site ↗ - DOI:
- 10.1155/2016/8256072 ↗
- Languages:
- English
- ISSNs:
- 2090-3359
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- Ingest File:
- 10339.xml