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Sustainability
Volume 15
Issue 2
10.3390/su15021739
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Article
Peer-Review Record

Assessing Shock Propagation and Cascading Uncertainties Using the Input–Output Framework: Analysis of an Oil Refinery Accident in Singapore

Sustainability 2023, 15(2), 1739; https://0-doi-org.brum.beds.ac.uk/10.3390/su15021739
by Pradeep V. Mandapaka 1,* and Edmond Y. M. Lo 1,2,*
Reviewer 1: Anonymous
Reviewer 2:
Weijun Li
Reviewer 3:
Na Xu
Sustainability 2023, 15(2), 1739; https://0-doi-org.brum.beds.ac.uk/10.3390/su15021739
Submission received: 12 December 2022 / Revised: 13 January 2023 / Accepted: 13 January 2023 / Published: 16 January 2023

Round 1

Reviewer 1 Report

The paper is well written and easy to follow and understand. The paper could highlight why such research is needed and what are the benefits of doing it. Only the concluding section mentions uncertainties in the model used. The reviewer suggests to move such discussion into a separate section where more details could be provided on limitations and uncertainty of data, models and the results. How authors could guarantee that the small effect they see on the other sectors is caused by the fire of the refinery and not by any other event (that is smaller in scale, but affects other selected sectors).

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The study assessed the economic impacts of PB refinery fire accident considering interdependencies among 15 broadly grouped industrial sectors and using the 525 inoperability IO models.I hope the authors find the comments and suggestions useful to improve the document. Comments and suggestions: 1) clarify the methodological novel contributions in the context of the scope of this journal.

 

 

2) it was not clear how the authors validated the method if validated at all. It would be advised to explain how the method was validated.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

The study employed the dynamic IIM to model the recovery of sectors after a shock event and quantify associated total losses. A case study of the oil refinery in Singapore was conducted. Here are my suggestions.

1) Please highlight the contributions. E.g., How to use the conclusions to predict or prevent future accidents? How to make better policies? Can the conclusion be used by other governments?

2) Please point out the originality of the framework. 

Author Response

Please see the attachment

Author Response File: Author Response.pdf

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