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Multi-scale assessment of the economic impacts of flooding: Evidence from firm to macro-level analysis in the Chinese manufacturing sector

Abstract:
We present an empirical study to systemically estimate flooding impacts, linking across scales from individual firms through to the macro levels in China. To this end, we combine a detailed firm-level econometric analysis of 399,356 firms with a macroeconomic input-output model to estimate flood impacts on China's manufacturing sector over the period 2003-2010. We find that large flooding events on average reduce firm outputs (measured by labor productivity) by about 28.3% per year. Using an input-output analysis, we estimate the potential macroeconomic impact to be a 12.3% annual loss in total output, which amounts to 15,416 RMB billion. Impacts can propagate from manufacturing firms, which are the focus of our empirical analysis, through to other economic sectors that may not actually be located in floodplains but can still be affected by economic disruptions. Lagged flood effects over the following two years are estimated to be a further 5.4% at the firm level and their associated potential effects are at a 2.3% loss in total output or 2,486 RMB billion at the macro-level. These results indicate that the scale of economic impacts from flooding is much larger than microanalyses of direct damage indicate, thus justifying greater action, at a policy level and by individual firms, to manage flood risk.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3390/su1101933

Authors


More by this author
Institution:
University of Oxford
Division:
Social Sciences Division
Department:
SOGE
Sub department:
Geography
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Author
ORCID:
0000-0002-2024-9191


Publisher:
MDPI
Journal:
Sustainability More from this journal
Volume:
11
Issue:
7
Article number:
1933
Publication date:
2019-04-01
Acceptance date:
2019-03-15
DOI:
ISSN:
2071-1050


Pubs id:
pubs:993295
UUID:
uuid:c7eea8b9-c24e-49a5-864a-7e4e14f78841
Local pid:
pubs:993295
Source identifiers:
993295
Deposit date:
2019-11-15

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