Reducing Your Carbon Footprint: Can Individual Actions Reduce Global Warming?

Billitteri, Thomas J.

doi:10.4135/9781483349213.n16

Cited by 1 publication

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Limitations on available data, and the use of different input measures, can lead to problematic comparisons in carbon accounting (Billitteri, 2010;Jones & Kammen, 2011;Padgett, Steinemann, Clarke, & Vandenbergh, 2008). Even so, as Rees (2000) and Wackernagel (2009) observed (with respect to ecological footprint analysis), the value of footprinting is not so much in its precision but in its ability, as an empirical metric, to highlight societal trends that may be missed by the proenvironmental self-reporting surveys that dominate the research literature.…”

Section: Literature Review Carbon Footprints: Measurement and Existinmentioning

confidence: 99%

“…While discussed, often with references to "hotspots," in the biological (Myers, Mittermeier, Mittermeier, da Fonseca, & Kent, 2000), medical/ epidemiological (Gawande, 2011), and criminological literatures (Weisburd & Mazerolle, 2000), the concept is not yet widely used in environmental studies (Berry, 2008). For example, in a recent account of popular trends in carbon footprinting (Billitteri, 2010), there is no mention of any differences between low and high emitters. Instead, the article focuses on average individuals and households.…”

Section: Disproportionalitymentioning

confidence: 99%

See 1 more Smart Citation

Egregious Emitters

Kennedy

Krahn

Krogman

2013

Environment and Behavior

View full text Add to dashboard Cite

This article presents survey data from households in Alberta, Canada, examining the relationship between income and carbon footprint. Using multivariate statistics to scrutinize the role of income, the data demonstrate substantial disproportionality in the composition and size of household carbon footprints. Results show that household energy consumption (heating, cooking, cooling) comprises half of the average footprint, with automobile transportation contributing 30% and air travel another 15%. In a linear multiple regression model, the size of household carbon footprints is positively associated with income, in addition to other variables. The highest income quintile has household carbon footprints 2.2 times greater than the lowest income quintile.

show abstract