Environment and Personal Well-being in Urban China

Yan-fan, Yang; Wenya, Yang

doi:10.1080/10042857.2011.10685051

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Usually, there are two types of factors decomposition methods in carbon emission. Structural decomposition analysis (SDA) and index decomposition analysis (IDA) [2]. Relative to the former, the LMDI in IDA can eliminate residual item and use more widely [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Calculation and Decomposition of China’s Carbon Emissions from Transportation Energy Consumption: Based on LMDI Method

2014

AMR

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According to the calculation method of the IPCC, the paper calculates the composition and intensity of carbon emissions from transportation energy consumption in China from 2000 to 2011. Based on logarithmic mean divisia index (LMDI) decomposition technique, changes of carbon emissions quantity are analyzed by three factors which are the transportation energy intensity, the economic growth and the transportation energy structure. The results show: (1) Transportation energy intensity was significantly decreased. Under its influence carbon emission intensity from the transportation energy was decreased, indicating that the energy efficiency was improved continuously. (2) Transport carbon emissions were in a growing trend. The greatest influence factor was the economic growth which had a positive effect and enlarged transportation carbon emissions quantity. On the other hand, the factors of the transportation energy intensity had a negative effect. Except 2011, the transportation energy structure always had a negative effect, which reduced transportation carbon emissions quantity.

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Section: Introductionmentioning

confidence: 99%

Calculation and Decomposition of China’s Carbon Emissions from Transportation Energy Consumption: Based on LMDI Method

2014

AMR

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Actual Air Pollution, Environmental Transparency, and the Perception of Air Pollution in China

Peng

Zhang

Zhong

et al. 2019

The Journal of Environment & Development

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Using data from the China Social Survey 2013 and statistics from the Ministry of Environment Protection of China and the Institute of Public & Environment Affairs, this study empirically examines the relationship between actual and perceived air pollution and the moderating effect of environmental transparency on that relationship with a multilevel ordered logistic strategy. Estimations indicate a significant congruence of actual (both particulate matter less than 10 µm in diameter and sulfur dioxide) and perceived air pollution. More importantly, environmental transparency of local government is found to moderate the relationship between actual and perceived air pollution by neutralizing the halo effects and building more alert perceptions when local air quality deteriorates. Our findings not only challenge the work of identifying a mismatch of actual–perceived air pollution in some developed countries but also suggest that, apart from abating actual air pollution, environmental transparency should be emphasized and strengthened in institutional buildings to help address pollution challenges in developing countries.

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Environment and Personal Well-being in Urban China

Cited by 2 publications

References 14 publications

Calculation and Decomposition of China’s Carbon Emissions from Transportation Energy Consumption: Based on LMDI Method

Calculation and Decomposition of China’s Carbon Emissions from Transportation Energy Consumption: Based on LMDI Method

Actual Air Pollution, Environmental Transparency, and the Perception of Air Pollution in China

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