Relationship between urbanization, direct and indirect greenhouse gas emissions, and expenditures: A multivariate analysis
By Sanna Ala-Mantila, Jukka Heinonen, S. Junnila. 2014
183 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/f24615caf6918da955c211bf1e1af64cab958132
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Ann-Kathrin Blankenberg
- Harm Alhusen
- L. Akenji
- A. Berthe
- Luc Elie
- Dominik Wiedenhofer
- H. Haberl
- Mikko Jalas
In Environmental Engineering
- Dominik Wiedenhofer
- H. Haberl
- Mikko Jalas
- F. Krausmann
- Marina Fischer‐Kowalski
- Bin Chen
- K. Erb
- Shaoqing Chen
In Renewable Energy, Sustainability and the Environment
- Dominik Wiedenhofer
- Ann-Kathrin Blankenberg
- Harm Alhusen
- L. Akenji
- H. Haberl
- Mikko Jalas
- F. Krausmann
- Jaume Freire-González
Citations in the corpus
- Mechanisms explaining the impact of economic inequality on environmental deterioration (2015, background): “This hypothesis is not considered in the studies identified above (Ala-Mantila et al., 2014) and as a result the increasing marginal propensity to save of the affluent could have environmental consequences that remain ignored.”
- On the Determinants of Pro-Environmental Behavior: A Literature Review and Guide for the Empirical Economist (2019, background): “An increase in green house gas emissions (GHG) (Ala-Mantila et al., 2014), and other types of emissions (Büchs and Schnepf, 2013; Bruderer-Enzler and Diekmann, 2015), and the energy requirement (Moll et al., 2005) in households is directly related to an increase in income.”
- Household time use, carbon footprints, and urban form: a review of the potential contributions of everyday living to the 1.5 °C climate target (2018, background): “Finally, for the specific footprints of mobility, housing, diets and leisure the major socio-economic and physical predictors can differ, depending on the socioeconomic conditions and (sub)urban location of households [38,40,41 ,47,48].”