The Impact of Social Factors and Consumer Behavior on Carbon Dioxide Emissions in the United Kingdom

By G. Baiocchi, J. Minx, Klaus Hubacek. 2010

365 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/a25ea902142d9e642a3320bfa0c7e23499b88592

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

1. Richard Wood
2. Edgar G. Hertwich
3. D. Ivanova
4. Manfred Lenzen
5. Arnold Tukker
6. Klaus Hubacek
7. Daniel Moran
8. Kuishuang Feng

In Environmental Engineering

1. Richard Wood
2. Edgar G. Hertwich
3. Klaus Hubacek
4. Manfred Lenzen
5. Kuishuang Feng
6. Arnold Tukker
7. Daniel Moran
8. D. Ivanova

In Transportation

1. Kuishuang Feng
2. Richard Wood
3. M. Büchs
4. Klaus Hubacek
5. Edgar G. Hertwich
6. Sylke V. Schnepf
7. D. Ivanova
8. Kjartan Steen‐Olsen

Citations in the corpus

• Tele-connecting local consumption to global land use (2013, background): “Land provides space for the production of goods and services, the consumption of which is closely linked to differences in income and associated expenditure patterns and lifestyles (Baiocchi et al., 2010; Weber et al., 2010).”
• Mapping the carbon footprint of EU regions (2017, background): “Furthermore, while there has been a significant amount of work on determinants of household energy use and GHG emissions (e.g. Lenzen et al 2006, Weber and Matthews 2008, Baiocchi et al 2010), conclusions have generally been drawn from individual-level assessments under a narrow spatial scope.”
• Environmental Impact Assessment of Household Consumption (2016, methodology): “The cross-country regression results need to be interpreted cautiously in the absence of corresponding expenditure elasticities at the micro level (Baiocchi et al. 2010; Hubacek et al. 2014).”
• Carbon footprints of 13 000 cities (2018, background): “While national-level policies can be powerful, programs can be more effective if they are targeted to consider local consumer profiles, including income and consumption patterns which vary across regions (Jones and Kammen 2011, Minx et al 2013, Baiocchi et al 2010, Chen et al 2018).”
• Who emits most? Associations between socio-economic factors and UK households' home energy, transport, indirect and total CO2 emissions (2013, methodology): “Neither Baiocchi et al. (2010), Gough et al. (2011), Lenzen et al. (2006), nor Weber and Matthews (2008) included gender in their multivariate analysis.”
• Situated lifestyles: I. How lifestyles change along with the level of urbanization and what the greenhouse gas implications are—a study of Finland (2013, background): “Some of this literature, especially the carbon footprint assessments based on monetary expenditure data (e.g. Baiocchi et al 2010; Kerkhof et al 2009; Hertwich and Peters 2009; Hertwich 2011; Erickson et al 2012; Heinonen and Junnila 2011a) bring consumption closer to the spatial location, yet…”
• Demand-side solutions for climate mitigation: Bottom-up drivers of household energy behavior change in the Netherlands and Spain (2020, background): “For example, in the UK 74% of total consumer emissions of CO2 are influenced by households (directly and indirectly) [7].”
• Digital Economy and Environmental Quality: Evidence from 217 Cities in China (2021, background): “With the improvement of the economic level, the emission of pollutants in the production process may continue to decrease, whereas pollutants may continue to increase [45].”