The Official Journal of the Pan-Pacific Association of Input-Output Studies (PAPAIOS)
Table 1 A review of literatures in estimating trans-boundary PM inventories
From: Tracking the PM2.5 inventories embodied in the trade among China, Japan and Korea
Author(s) | Objective | Methodology and scale | Conclusion |
|---|---|---|---|
Takahashi et al. (2014) | Determine the production-based/consumption-based emissions of primary carbonaceous aerosols (BC and OC) | MRIO; nine countries and regions in Asia; No sector analysis; 2008 | China had the highest BC and OC emissions for the production-based and consumption-based emissions (4520 kt, 75%; 4849 kt, 77%); mainly contributed by household emission and OC emission |
Sugiyama et al. (2009) | Elucidate the macrostructure of the PM2.5 emissions generated by Japan’s economic activities | IO; Japan; 400 → 17 sectors; From 1990 to 2000 | In 2000, 252 kt, 49% due to mobile emission sources From 1990 to 2000, overall decrease: increase in energy sector emissions and sharp decline in road vehicles and shipping vessels emissions |
Meng et al. (2015) | Examine a supply chain approach to more effectively mitigate primary PM2.5 emissions in China from the perspectives of production, consumption and their linkages | SPA; China; 43 sectors; 2007 | 9680 kt, 80% of the economic sectors follow a similar pattern in electricity, cement and the ferrous metal industries; but only the construction sector increases the release of PM2.5 due to the production of nonmetallic mineral products |
Chen et al. (2015) | Compare the costs and benefits of reducing premature mortality caused by exposure to surface ozone and PM2.5 | Cost–benefit analysis; GAINS-ASIA; East Asia; 10 countries; no sector analysis; To 2020 | The corresponding cost and benefit for PM2.5 are 3580 and 523; 292,000–797,000 and 194,000–530,000 (million int. $, 2005), respectively |
Zhao et al. (2017) | Understand possible changes of agricultural NH3 emission and their impacts on ambient PM2.5 concentrations | GAINS-China; Hai River Basin; 6 province; 4 scenarios; No sector analysis; To 2030 | A scenario of improved technology and management combined with human diet optimization could greatly reduce emission (by 60%), and lead to 22–43% and 9–24% decrease in the secondary inorganic aerosols and PM2.5 concentrations, respectively, in the hot spots of NH3 emissions |