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Discussion papers | Copyright
https://doi.org/10.5194/acp-2018-484
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 06 Jun 2018

Research article | 06 Jun 2018

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This discussion paper is a preprint. A revision of the manuscript is under review for the journal Atmospheric Chemistry and Physics (ACP).

Assessment of Pollution-Health-Economics Nexus in China

Yang Xia1, Dabo Guan1, Jing Meng2, Yuan Li1, and Yuli Shan1 Yang Xia et al.
  • 1Water Security Research Centre, School of International Development, University of East Anglia, Norwich NR4 7TJ, UK
  • 2Department of Politics and International Studies, University of Cambridge, Cambridge CB3 9DT, UK

Abstract. Serious haze can cause contaminant diseases that trigger productive labour time by raising mortality and morbidity rates in cardiovascular and respiratory diseases. Health studies rarely consider macroeconomic impacts of industrial interlinkages while disaster studies seldom involve air pollution and its health consequences. This study adopts a supply-driven input-output model to estimate the economic loss resulting from disease-induced working time reduction across 30 Chinese provinces in 2012 using the most updated Chinese Multiregional Input-Output Table. Results show total economic loss of 398.23 billion Yuan (~1% of China's GDP in 2012) with the majority comes from Eastern China and Mid-South. Total number of affected labourers amounts at 82.19 million. Cross-regional economic impact analysis indicates that Mid-South, North China and Eastern China entail the majority of regional indirect loss. Indeed, most indirect loss in North China, Northwest and Southwest can be attributed to Manufacturing and Energy in other regions while loss in Eastern China, Mid-South and Northeast largely originate from Coal and Mining in other regions. At the sub-industrial level, most inner-regional loss in North China and Northwest originate from Coal and Mining, in Eastern China and Southwest from Equipment and Energy, and in Mid-South from Metal and Non-metal. These findings highlight the potential role of geographical distance in regional interlinkages and regional heterogeneity in inner- and outer-regional loss due to distinctive regional economic structures and dependences between the North and South.

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Economic loss from disease-induced working time loss reach 398 bn Yuan in China 2012. Most are from Eastern and Mid-South. Mid-South, North and Eastern China entail most indirect loss. Indirect loss in North China, Northwest and Southwest are from Manufacturing and Energy in other regions while loss in Eastern China, Mid-South and Northeast are from Coal and Mining, implying the role of geographic distance in regional linkages and different regional loss due to different economic dependences.
Economic loss from disease-induced working time loss reach 398 bn Yuan in China 2012. Most are...
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