“…However, partitioning responsibility between producers and consumers is more complicated, because producers accrue economic benefit when emitting pollutants (Barrett et al, 2013). Reasonable shared responsibility criteria (e.g., Gallego and Lenzen, 2005;Cadarso et al, 2012;Hoekstra and Wiedmann, 2014) involving both producers and consumers in emission reduction could help developing provinces in China assume the cost increase derived from mitigation action and contribute to a more effective solution. …”
Abstract. Substantial anthropogenic emissions from China have resulted in serious air pollution, and this has generated considerable academic and public concern. The physical transport of air pollutants in the atmosphere has been extensively investigated; however, understanding the mechanisms how the pollutant was transferred through economic and trade activities remains a challenge. For the first time, we quantified and tracked China's air pollutant emission flows embodied in interprovincial trade, using a multiregional input-output model framework. Trade relative emissions for four key air pollutants (primary fine particle matter, sulfur dioxide, nitrogen oxides and non-methane volatile organic compounds) were assessed for 2007 in each Chinese province. We found that emissions were significantly redistributed among provinces owing to interprovincial trade. Large amounts of emissions were embodied in the imports of eastern regions from northern and central regions, and these were determined by differences in regional economic status and environmental policy. It is suggested that measures should be introduced to reduce air pollution by integrating cross-regional consumers and producers within national agreements to encourage efficiency improvement in the supply chain and optimize consumption structure internationally. The consumption-based air pollutant emission inventory developed in this work can be further used to attribute pollution to various economic activities and final demand types with the aid of air quality models.
“…However, partitioning responsibility between producers and consumers is more complicated, because producers accrue economic benefit when emitting pollutants (Barrett et al, 2013). Reasonable shared responsibility criteria (e.g., Gallego and Lenzen, 2005;Cadarso et al, 2012;Hoekstra and Wiedmann, 2014) involving both producers and consumers in emission reduction could help developing provinces in China assume the cost increase derived from mitigation action and contribute to a more effective solution. …”
Abstract. Substantial anthropogenic emissions from China have resulted in serious air pollution, and this has generated considerable academic and public concern. The physical transport of air pollutants in the atmosphere has been extensively investigated; however, understanding the mechanisms how the pollutant was transferred through economic and trade activities remains a challenge. For the first time, we quantified and tracked China's air pollutant emission flows embodied in interprovincial trade, using a multiregional input-output model framework. Trade relative emissions for four key air pollutants (primary fine particle matter, sulfur dioxide, nitrogen oxides and non-methane volatile organic compounds) were assessed for 2007 in each Chinese province. We found that emissions were significantly redistributed among provinces owing to interprovincial trade. Large amounts of emissions were embodied in the imports of eastern regions from northern and central regions, and these were determined by differences in regional economic status and environmental policy. It is suggested that measures should be introduced to reduce air pollution by integrating cross-regional consumers and producers within national agreements to encourage efficiency improvement in the supply chain and optimize consumption structure internationally. The consumption-based air pollutant emission inventory developed in this work can be further used to attribute pollution to various economic activities and final demand types with the aid of air quality models.
“…Therefore, some authors have argued that, as a compromise, it would be beneficial for responsibility to be shared between producers and consumers (Kondo et al, 1998;Ferng, 2003;Bastianoni et al, 2004;Gallego and Lenzen, 2005;Lenzen et al, 2007;Peters, 2008;Cadarso et al, 2012). The main advantage of the shared responsibility concept is that it facilitates the implementation of the 2012 Kyoto Protocol for developing countries (see Ferng, 2003) because it reduces their burden of responsibility for emissions associated with exports to developed countries.…”
Section: Introductionmentioning
confidence: 97%
“…Ferng (2003) and Peters (2008) are particularly noteworthy because they proposed a framework that weighs producer and consumer responsibility, which allows responsibility for CO 2 emissions associated with exports and imports to be distributed between the producing and consuming countries. More recently, Cadarso et al (2012) defined a shared responsibility criterion, based on Lenzen et al (2007), to analyse the impact of international trade on CO 2 emissions based on sectors. However, no defined weighting has been established thus far.…”
“…direct and indirect, cultivated land related to consumption activities for a targeted sector/system) (Cadarso et al, 2012) flows of China, which are instrumental in determining the distributing burden of each agent for cultivated land protection.…”
Abstract.The recent trend of rapid urbanization draws more and more concerns on the land use pattern in China. This study employs an ecological input-output model to reveal the Guo S., Shen G.Q.P., Chen Z.M., . Embodied cultivated land use in China 1987 to trade pattern, the Agriculture sector is China's largest net importer of cultivated land, in contrast to the Textile sector as the largest net exporter. When China is shown to be a net embodied cultivated land exporter throughout the concerned years, the variation of embodied cultivated land balance is closely related to the country's international trade pattern.
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