The impacts of population change on carbon emissions in China during 1978–2008

Zhu, Qin; Peng, Xinjun

doi:10.1016/j.eiar.2012.03.003

Cited by 241 publications

(101 citation statements)

References 21 publications

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“…Therefore, this group consumes the most energy on road. Our results verify the assumption that the effects of age structure are partly decided by household income or wealth levels and are consistent with the findings from Cao and Yang (2017) and Zhu and Peng (2012). For example, Cao and Yang (2017) suggest that age has a positive effect on environment, and Zhu and Peng (2012) suggest that the working group (age 16-64) has more positive effects on the environment than other cohorts.…”

Section: Discussionsupporting

confidence: 80%

“…Our results verify the assumption that the effects of age structure are partly decided by household income or wealth levels and are consistent with the findings from Cao and Yang (2017) and Zhu and Peng (2012). For example, Cao and Yang (2017) suggest that age has a positive effect on environment, and Zhu and Peng (2012) suggest that the working group (age 16-64) has more positive effects on the environment than other cohorts. Furthermore, the elasticity of urban density with respect to per capita road energy use is negative given the urbanization rate and the ratio of low residential housing stock which implies that compact cities contribute to decreases in road energy use per capita.…”

Section: Discussionsupporting

confidence: 80%

“…Further, Cao and Yang (2017) classified the age of 44 as an important node (16-24, 25-34, 35-44, 45 >). The classifications of Cao and Yang (2017) and Zhu and Peng (2012), combined with the Norwegian factors, resulted in our division into four groups. The study period (2006)(2007)(2008)(2009) Norway by merging the municipalities into the large ones (Parliament, 2017).…”

Section: Data and Modelsmentioning

confidence: 99%

“…For example, Liddle (2011) divided the population into five age groups (< 20, 20-34, 35-49, 50-69, and 70 ≥) whereas Zhu and Peng (2012) integrated the working population into one group. Further, Cao and Yang (2017) classified the age of 44 as an important node (16-24, 25-34, 35-44, 45 >).…”

Section: Data and Modelsmentioning

confidence: 99%

“…Researchers applying the STIRPAT frame to carbon emissions or energy use typically include data on population, income, urbanization level, urban density, and age compositions in their analyses, summarized in the appendix A1 (Boyko and Cooper, 2011;Fan et al, 2006;Hossain, 2011;Liddle, 2004;Liddle and Lung, 2010;Martínez-Zarzoso et al, 2007;Martínez-Zarzoso and Maruotti, 2011;Menz and Welsch, 2012;Norman et al, 2006;Perkins et al, 2009;Poumanyvong and Kaneko, 2010;Poumanyvonga et al, 2012;Yang et al, 2015;Zhu and Peng, 2012). The common feature in these studies is the lack of information on the urban form which may be ascribed to the deficiency of appropriate measures of urban area level spatial structure (Lee and Lee, 2014) as well as the limited variables in the STIRPAT framework.…”

Section: Literature Reviewmentioning

confidence: 99%

See 4 more Smart Citations

Does urbanization lead to less energy use on road transport? Evidence from municipalities in Norway

Liu

Huang

Kaloudis

et al. 2017

Transportation Research Part D: Transport and Environment

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The relationship between urbanization, energy use, and CO2 emissions has been extensively studied in recent years, however little attention paid to the differences in urban forms. Previous studies implicitly assume that the urban form is homogenous across different urban areas. Such an assumption is questionable as urban form can have many different facets. This paper investigates the effects of urbanization on the road transport energy use by considering different urban forms from a dataset of (3) there is a non-linear (quadratic) relationship between road energy use per capita and urban population. This implies that an increase in total municipality population over a specific turning point can result in a decrease in road energy use per capita. However, (4) the ratio of urban residential buildings with private gardens has a negative and significant influence on road transport energy use.This implies that there may be a trade-off between compact and sprawl city development strategies, highlighting that sustainable energy use requires further investigation.

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Section: Discussionsupporting

confidence: 80%

Section: Discussionsupporting

confidence: 80%

Section: Data and Modelsmentioning

confidence: 99%

Section: Data and Modelsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Does urbanization lead to less energy use on road transport? Evidence from municipalities in Norway

Liu

Huang

Kaloudis

et al. 2017

Transportation Research Part D: Transport and Environment

View full text Add to dashboard Cite

show abstract

Towards a circular economy: Implications for emission reduction and environmental sustainability

Hailemariam

Erdiaw‐Kwasie

2022

Bus Strat Env

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Governments and policymakers worldwide have been setting targets to achieve an ambitious net-zero emission target by 2050 to tackle the pressing issue of climate change. However, achieving the net-zero emission target by 2050 depends on the factors determining the transition from traditional fossil fuel energy sources to renewables. In connection with this, policymakers have emphasised the need to transition from a linear to a circular economy. In this paper, we investigate the effectiveness of the progress towards a circular economy in reducing CO 2 emissions and promoting environmental sustainability. To do so, we use annual historical data for a panel of 29 European countries from 2000 to 2020. Using an identification strategy that adopts heteroscedastic-based instrumental variables and addresses endogeneity issues, we find that progress towards a circular economy significantly improves environmental quality via reducing CO 2 emissions. Our findings suggest that business strategies promoting recycling and circular economy practices play an important role in environmental sustainability by reducing emissions.

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Household Energy Use and Carbon Emissions in China: A decomposition analysis

Zhu

Wei

2015

Env Pol Gov

Self Cite

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11Although its per capita carbon emissions are still relatively low, China's aggregated carbon 12 emissions have grown by nearly 4-fold in the last three decades, and now it is the biggest CO2 13 emitter in the world. There are many reasons for this emissions growth, and much emphasis 14 has been placed on industrial development, but previous research has estimated that 40% of 15 the growth in Chinese CO2 emissions over the 15 years to 2007 can be attributed to 16 household energy consumption. In this paper, we conduct a decomposition analysis to show 17 that in the period from 1978 to 2008 nearly 60% of the growth in Chinese household 18 emissions can be attributed to the increasing number of households and 40% to increasing 19 emissions per household. We also show that over this period emissions growth in urban 20 households has been six times that of rural households. These results have important 21 implications for policy makers seeking to promote reductions in China's CO2 emissions, 22 relating for example to family planning and urbanization. 23 24

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The impacts of population change on carbon emissions in China during 1978–2008

Cited by 241 publications

References 21 publications

Does urbanization lead to less energy use on road transport? Evidence from municipalities in Norway

Does urbanization lead to less energy use on road transport? Evidence from municipalities in Norway

Towards a circular economy: Implications for emission reduction and environmental sustainability

Household Energy Use and Carbon Emissions in China: A decomposition analysis

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