Title
Improving Electricity Efficiency In Turkey By Addressing Illegal Electricity Consumption: A Governance Approach
Keywords
Expectancy; Memory models; Multidimensional scaling; Smoking; Tobacco
Abstract
Methodology that has led to successful strategies to reduce alcohol use was applied to tobacco smoking expectancies. Individual differences scaling was used to empirically model a semantic network of associations stored in memory and preference mapping was used to model likely paths of expectancy activation for groups with different smoking histories. Smokers emphasized an external appearance-internal experience dimension and were more likely to activate expectancies of negative affect reduction. Nonsmokers emphasized a positive-negative dimension and were more likely to activate expectancies of health risks and reduced physical attractiveness. Proportionate frequencies of first associates' validated findings of the MDS-based solutions. Future efforts to alter likely activation patterns may successfully reduce the onset of smoking, enhance quit rates, and reduce relapse. © 2012 Elsevier Ltd.
Publication Date
4-1-2012
Publication Title
Energy Policy
Volume
43
Issue
4
Number of Pages
226-234
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.enpol.2011.12.059
Copyright Status
Unknown
Socpus ID
84857044628 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84857044628
STARS Citation
Tasdoven, Hidayet; Fiedler, Beth Ann; and Garayev, Vener, "Improving Electricity Efficiency In Turkey By Addressing Illegal Electricity Consumption: A Governance Approach" (2012). Scopus Export 2010-2014. 5152.
https://stars.library.ucf.edu/scopus2010/5152