TY - JOUR
T1 - Relationship between urbanization, direct and indirect greenhouse gas emissions, and expenditures
T2 - A multivariate analysis
AU - Ala-Mantila, Sanna
AU - Heinonen, Jukka
AU - Junnila, Seppo
PY - 2014/8
Y1 - 2014/8
N2 - In this paper, we analyze the relationships between Finnish household types and their consumption-based carbon footprints. We calculate footprints by combining expenditure data with life-cycle greenhouse gas emission intensities derived from an environmentally extended input-output model. By applying regression analysis, we explore the effects of expenditure, urbanity, and household size on total, direct, and indirect emissions. The separate analyses for direct and indirect GHGs provide insights, not previously found in the literature, on the relationship between urbanity and carbon footprints. Holding expenditure constant, a rural lifestyle seems to be related to the highest GHG emissions. However, keeping in mind that the absolute amount of indirect emissions is major to direct emissions from home energy and private driving, the less prominent or even reversed relationship between indirect emissions and urbanity is also worth noting. The existence of household size scale effects depends whether direct or indirect GHGs are explained. We demonstrate that in order to gain a comprehensive understanding of mitigation policies and their effects, not only the averages but the various patterns of direct and direct emissions must be kept in mind. This paper complements the earlier carbon footprint assessments from the same authors by providing a comprehensive statistical analysis.
AB - In this paper, we analyze the relationships between Finnish household types and their consumption-based carbon footprints. We calculate footprints by combining expenditure data with life-cycle greenhouse gas emission intensities derived from an environmentally extended input-output model. By applying regression analysis, we explore the effects of expenditure, urbanity, and household size on total, direct, and indirect emissions. The separate analyses for direct and indirect GHGs provide insights, not previously found in the literature, on the relationship between urbanity and carbon footprints. Holding expenditure constant, a rural lifestyle seems to be related to the highest GHG emissions. However, keeping in mind that the absolute amount of indirect emissions is major to direct emissions from home energy and private driving, the less prominent or even reversed relationship between indirect emissions and urbanity is also worth noting. The existence of household size scale effects depends whether direct or indirect GHGs are explained. We demonstrate that in order to gain a comprehensive understanding of mitigation policies and their effects, not only the averages but the various patterns of direct and direct emissions must be kept in mind. This paper complements the earlier carbon footprint assessments from the same authors by providing a comprehensive statistical analysis.
KW - Climate change and urbanity
KW - Environmentally extended input-output model
KW - Household consumption
KW - Multivariate regression model
UR - http://www.scopus.com/inward/record.url?scp=84901381776&partnerID=8YFLogxK
U2 - 10.1016/j.ecolecon.2014.04.019
DO - 10.1016/j.ecolecon.2014.04.019
M3 - Article
AN - SCOPUS:84901381776
SN - 0921-8009
VL - 104
SP - 129
EP - 139
JO - Ecological Economics
JF - Ecological Economics
ER -