China’s carbon emissions from urban and rural households during 1992–2007
By Lan-Cui Liu, Gang Wu, Jin-Nan Wang, Yi-Ming Wei. 2011
330 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/066073214543925b18bde08fc5c5a3c5f62c1cba
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Citations in the corpus
- Household carbon emission research: An analytical review of measurement, influencing factors and mitigation prospects (2015, unknown): “Government provision of guidance has been shown to be beneficial to householders, especially those of higher income levels, on changing their consumption to less carbon-intensive products and services (Liu et al., 2011).”
- Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system (2018, background): “The results from most studies have indicated that the material consumption level, emission intensity of consumed products, urbanization level, industrial structure (as discussed above), population, and consumption structure (the proportion of low-carbon products to the total consumed products) are t”
- Effects of rural–urban development transformation on energy consumption and CO2 emissions: A regional analysis in China (2015, background): “This finding is consistent with previous studies that have indicated that urbanization increases energy use and CO2 emissions in China [25,27,70].”
- The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China (2014, background): “As mentioned by Liu et al. (2011), the direct and indirect CO2 emission from household consumption accounted for more than 40 % of total carbon emissions from primary energy utilization in China in 1992–2007.”
- Residential carbon emission evolutions in urban-rural divided China: An end-use and behavior analysis (2013, background): “First, some studies perform macroscopic analysis [2-13], in which the related macro impact factors include income, price, population, lifestyle, information feedback and so on.”