The study on the air pollutants embodied in goods for consumption and trade in China – Accounting and structural decomposition analysis

Deng, Guangyao; Ding, Yongsheng; Ren, Suling

doi:10.1016/j.jclepro.2016.06.114

Cited by 50 publications

(19 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The importance of capital formation has also been noticed by the studies on energy consumption and pollutants emissions. Guan et al (2014) and Deng et al (2016) found that capital formation was the largest final demand category for increasing air pollutants, most of which were embodied in the construction sector. Energy-related CH 4 emissions account for a significant share of China's CH 4 emissions, while CO 2 emissions are mainly attributed to the energy consumption.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, the method of structural decomposition analysis (SDA) enables researchers to examine the driving forces of resources, emissions and other physical quantities (e.g., Hoekstra and Van Den Bergh, 2002;Ang, 2012, 2017;Arto and Dietzenbacher, 2014;Malik et al, 2016;Deng and Xu, 2017;Wang et al, 2017a). By using this method, energy, air pollutants and carbon emissions in China have been widely analyzed (e.g., Kagawa and Inamura, 2004;Peters et al, 2007;Guan et al, 2008Guan et al, , 2009Guan et al, , 2014Zhang, 2009;Xu et al, 2011;Zhang and Qi, 2011;Feng et al, 2012Feng et al, , 2017Xie, 2014;Zeng et al, 2014;Deng et al, 2016;Yuan and Zhao, 2016;Jiao et al, 2017;Liu and Liang, 2017;Mi et al, 2017aMi et al, , 2017bShi et al, 2017;Wei et al, 2017;Zhao et al, 2017;Du et al, 2018a;Zhang et al, 2018b). Despite of the existing literature on GHG emissions accounting, the current understanding of China's CH 4 emissions from both consumption-and income-based perspectives is insufficient.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Socioeconomic determinants of China's growing CH4 emissions

Chen

Guan

et al. 2018

Journal of Environmental Management

View full text Add to dashboard Cite

Reducing CH emissions is a major global challenge, owing to the world-wide rise in emissions and concentration of CH in the atmosphere, especially in the past decade. China has been the greatest contributor to global anthropogenic CH emissions for a long time, but current understanding towards its growing emissions is insufficient. This paper aims to link China's CH emissions during 2005-2012 to their socioeconomic determinants by combining input-output models with structural decomposition analysis from both the consumption and income perspectives. Results show that changes in household consumption and income were the leading drivers of the CH growth in China, while changes in efficiency remained the strongest factor offsetting CH emissions. After 2007, with the global financial crisis and economic stimulus plans, embodied emissions from exports plunged but those from capital formation increased rapidly. The enabled emissions in employee compensation increased steadily over time, whereas emissions induced from firms' net surplus decreased gradually, reflecting the reform on income distribution. In addition, at the sectoral level, consumption and capital formation respectively were the greatest drivers of embodied CH emission changes from agriculture and manufacturing, while employee compensation largely determined the enabled emission changes across all industrial sectors. The growth of CH emissions in China was profoundly affected by the macroeconomic situation and the changes of economic structure. Examining economic drivers of anthropogenic CH emissions can help formulate comprehensive mitigation policies and actions associated with economic production, supply and consumption.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Socioeconomic determinants of China's growing CH4 emissions

Chen

Guan

et al. 2018

Journal of Environmental Management

View full text Add to dashboard Cite

show abstract

“…EIO models based on both single-region input-output (SRIO) and multi-region input-output (MRIO) models have been utilized by researchers [32, 46–47]. Kanemoto et al recommended that the SRIO approach should be used due to its consistency with the monetary trade balance to compare trade-adjusted emissions inventories [48].…”

Section: Methods and Datamentioning

confidence: 99%

GHGs and air pollutants embodied in China’s international trade: Temporal and spatial index decomposition analysis

2017

View full text Add to dashboard Cite

Temporal index decomposition analysis and spatial index decomposition analysis were applied to understand the driving forces of the emissions embodied in China’s exports and net exports during 2002–2011, respectively. The accumulated emissions embodied in exports accounted for approximately 30% of the total emissions in China; although the contribution of the sectoral total emissions intensity (technique effect) declined, the scale effect was largely responsible for the mounting emissions associated with export, and the composition effect played a largely insignificant role. Calculations of the emissions embodied in net exports suggest that China is generally in an environmentally inferior position compared with its major trade partners. The differences in the economy-wide emission intensities between China and its major trade partners were the biggest contribution to this reality, and the trade balance effect played a less important role. However, a lower degree of specialization in pollution intensive products in exports than in imports helped to reduce slightly the emissions embodied in net exports. The temporal index decomposition analysis results suggest that China should take effective measures to optimize export and supply-side structure and reduce the total emissions intensity. According to spatial index decomposition analysis, it is suggested that a more aggressive import policy was useful for curbing domestic and global emissions, and the transfer of advanced production technologies and emission control technologies from developed to developing countries should be a compulsory global environmental policy option to mitigate the possible leakage of pollution emissions caused by international trade.

show abstract

“…Furthermore, there are many literatures calculate the effects of factors on emission changes in industry level by using the index decomposition analysis (IDA) (Fan & Lei, 2016; Li et al, 2017; Tian et al, 2011). Meanwhile, some literatures quantify the impacts of drivers on changes of water (Soligno et al, 2019; Yang et al, 2016), energy (Lan et al, 2016; Su & Ang, 2017) and air pollutants (Deng et al, 2016; Meng et al, 2016, 2019).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Driving Forces of India's Emissions From Production and Consumption Perspectives

2020

View full text Add to dashboard Cite

While India becomes one of the largest carbon emitters in the world with a high emission growth rate, existing studies fail to capture the recent trends and the key driving factors behind it. Here, by using multiregional input‐output analysis and structural decomposition analysis, we measure the contribution of factors to the changes of India's domestic consumption and trade‐related emissions. This study finds that India's per capita consumption has a significant raising effect on India's consumption‐based emissions during 2000–2014; increasing coal proportion (especially in industry and electricity) and ineffective energy efficiency (especially in electricity) continuously push India's production‐based emissions upwards after 2003. Meanwhile, India's domestic industrial chain shows increasing and decreasing effects on domestic consumption and export‐related emissions after 2011, respectively. India's forward industrial chain always drives export‐related emissions upwards. In addition, the major contributor of final demand in domestic consumption emissions transfers from capital investment to household consumption after 2008, while the increasing power of services in export‐related emissions rapidly fades in the same period. India's climbing import‐related emissions embodied in final products shift to light industries, and the intermediate products shift to heavy industries and constructions over time.

show abstract

The study on the air pollutants embodied in goods for consumption and trade in China – Accounting and structural decomposition analysis

Cited by 50 publications

References 32 publications

Socioeconomic determinants of China's growing CH4 emissions

Socioeconomic determinants of China's growing CH4 emissions

GHGs and air pollutants embodied in China’s international trade: Temporal and spatial index decomposition analysis

Dynamic Driving Forces of India's Emissions From Production and Consumption Perspectives

Contact Info

Product

Resources

About