Peer Review History

Original SubmissionOctober 4, 2022
Decision Letter - Jing Cheng, Editor

PONE-D-22-27384Study the green transformation of manufacturing industryPLOS ONE

Dear Dr. Hu,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

The literature review should be expanded. The contribution of the manuscript and policy implication should be highlighted. The discussion part should be extended to its practical significance.

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Kind regards,

Jing Cheng

Academic Editor

PLOS ONE

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"This study was supported by Guangxi Philosophy and Social Science Research Project: Research on the transformation and upgrading path and countermeasures of Guangxi manufacturing industry under the Internet business ecological environment (21FYJ055) and National Social Science Fund Project: Co-creation Mechanism and Empirical Research on Smart Tourism Service Value Driven by Internet of Things Big Data (20BGL155). We would like to express our sincere gratitude to the anonymous reviewers, and the editors for their truly valuable comments."

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"This study was supported by Guangxi Philosophy and Social Science Research Project: Research on the transformation and upgrading path and countermeasures of Guangxi manufacturing industry under the Internet business ecological environment (21FYJ055) and National Social Science Fund Project: Co-creation Mechanism and Empirical Research on Smart Tourism Service Value Driven by Internet of Things Big Data (20BGL155). We would like to express our sincere gratitude to the anonymous reviewers, and the editors for their truly valuable comments."

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: No

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3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: No

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4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Dear Authors, I have a few comments in minor revisions liste here:

- Add the the managerial or policy implications

- Add the future research at the end

- Add the limit of the research of this research study

Please add the references here

Mathivathanan D., Agarwal V., Mathiyazhagan K., Saikouk T. & Appolloni A. (2022). Modeling the pressures for sustainability adoption in the Indian automotive context, Journal of Cleaner Production, Vol. 342, 130972 DOI: https://doi.org/10.1016/j.jclepro.2022.130972

Kazemargi N., Tavoletti E., Appolloni A. & Cerruti C. (2022). Managing open innovation within supply networks in mature industries, European Journal of Innovation Management (Eemerald). Vol. X; DOI: https://doi.org/10.1108/EJIM-12-2021-0606

Appolloni A., , D’Adamo I., Gastaldi M., Morteza Y. & Settembre-Blundo D. (2022). Reflective backward analysis to assess the operational performance and eco-efficiency of two industrial district. International Journal of Productivity and Performance Management (Emerald). Vol. 193, DOI: 107311; https://doi.org/10.1108/IJPPM-08-2021-0442

Tavoletti E., Kazemargi N., Cerruti C., Grieco C. and Appolloni, A. (2021). Business model innovation and digital transformation in global management consulting firms, European Journal of Innovation Management (Emerald). Vol. X; https://doi.org/10.1108/EJIM-11-2020-0443ù

Reviewer #2: This paper uses dynamic theory to analyze the evolution process of green transformation of manufacturing industry and its key driving factors, and reveals the evolution mechanism and trajectory of green transformation of manufacturing industry. In which author(s) simulate the transformation of new and old kinetic energy of green transformation, and explores the mech- anism of green transformation and upgrading of manufacturing industry and the conversion process. The contribution of this article includes two aspects. The first is the innovative use of dynamic model, and taking into account the influence on endogenous variables in the green transition process. Secondly, the new and old kinetic energy functions and transformations of the green transformation process of the manufacturing industry are analyzed in stages.

Through doing that, authors claim that their contributions of this article include two aspects. The first is the innovative use of dynamic model, and taking into account the influence on en- dogenous variables in the green transition process. Secondly, the new and old kinetic energy functions and transformations of the green transformation process of the manufacturing industry are analyzed in stages.

For all that, I would like to recommend that the paper be reconsidered for publication after substantial revisions. Below please find some detailed comments.

1 Major concerns:

1.1 Literature review

The literature review is not extensive nor timely. As far as I know, some authors have already done their work in green transformation of manufacturing industry, as presented below, I suggest the authors to read those documents.

• Different types of environmental regulations and the heterogeneous influence on the en- vironmental total factor productivity: Empirical analysis of China’s industry. Journal of Cleaner Production, 211, 171–184. DOI:10.1016/j.jclepro.2018.11.170.

• The role of governmental policy in game between traditional fuel and new energy vehi- cles. Computers & Industrial Engineering, 169, 108292. DOI:10.1016/j.cie.2022. 108292.

• A carbon-constrained EOQ model with uncertain demand for remanufactured products. Journal of Cleaner Production, 199, 334–347. DOI:10.1016/j.jclepro.2018.07. 108.

• Coordination Between Forward and Reverse Production Streams for Maximum Profitabil- ity. Omega, 102454. DOI:10.1016/j.omega.2021.102454.

• Design and Realization of an Efficient Environmental Assessment Method for 3R Systems: A Case Study on Engine Remanufacturing. International Journal of Production Research, 58, 5980–6003. DOI:10.1080/00207543.2019.1662132.

1.2 Method

Mathematical models are poorly justified, and more supporting references are required.

1.3 Results & Conclusions

Much more often, authors are presenting the mathematical results rather than practical signifi- cance implied by that. Furthermore, there are no managerial insights have been developed.

1.4 Contributions

Although there is some merit in the paper, I feel that the contribution is insufficient, and I think the paper requires a substantial revision to be qualified for the green transformation of manu- facturing industry.

2 Minor concerns:

2.1 Abstract

Results in Abstract should be presented in a concise form which include substantive content.

2.2 Section titles

Some section titles are capitalized for the first letter, such as:

2 The relationship between kinetic theory and the green transformation of manufacturing industry

While some are capitalized for the first letter of each word, such as:

3 Manufacturing Green Transformation Dynamics Model

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Reviewer #1: Yes: Andrea APPOLLONI

Reviewer #2: No

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Revision 1

Dear reviewers:

Thank you for your letter and for the comments concerning our manuscript entitled “Green transition in manufacturing: dynamics and simulation”. Those comments are all valuable and very helpful for revising and improving our paper, as well as the important guiding significance to our researches. We have studied comments carefully and have made correction which we hope meet with approval. Revisions to the manuscript have been marked up using the “Track Changes” function according to editor’s suggestions. The main corrections in the paper and the responds to your comments are as follows:

Point 1: Add the the managerial or policy implications

Response 1: Thank you for your suggestion. We have added statements on policy implications in the Literature review (line 102 to 129) and Conclusion (line 489 to 691).

Point 2: Add the future research at the end

Response 2:Thank you for your suggestion.We have added statements on the future research at the end (line 701 to 708)

Point 3: Add the limit of the research of this research study

Response 3:Thank you for your suggestion.We have added statements on the limit of the research (line 692 to 700)

Point 4: Please add the references here

Mathivathanan D., Agarwal V., Mathiyazhagan K., Saikouk T. & Appolloni A. (2022). Modeling the pressures for sustainability adoption in the Indian automotive context, Journal of Cleaner Production, Vol. 342, 130972 DOI: https://doi.org/10.1016/j.jclepro.2022.130972

Kazemargi N., Tavoletti E., Appolloni A. & Cerruti C. (2022). Managing open innovation within supply networks in mature industries, European Journal of Innovation Management (Eemerald). Vol. X; DOI: https://doi.org/10.1108/EJIM-12-2021-0606

Appolloni A., , D’Adamo I., Gastaldi M., Morteza Y. & Settembre-Blundo D. (2022). Reflective backward analysis to assess the operational performance and eco-efficiency of two industrial district. International Journal of Productivity and Performance Management (Emerald). Vol. 193, DOI: 107311; https://doi.org/10.1108/IJPPM-08-2021-0442

Tavoletti E., Kazemargi N., Cerruti C., Grieco C. and Appolloni, A. (2021). Business model innovation and digital transformation in global management consulting firms, European Journal of Innovation Management (Emerald). Vol. X; https://doi.org/10.1108/EJIM-11-2020-0443ù

Response 4: Thank you for your suggestion. We have expanded our literature review section, added literature on digital transformation (line 130 to 143), policy implications(line 102 to 129), and added the mentioned literature above.

Point 1: The literature review is not extensive nor timely. As far as I know, some authors have already done their work in green transformation of manufacturing industry, as presented below, I suggest the authors to read those documents.

• Different types of environmental regulations and the heterogeneous influence on the environmental total factor productivity: Empirical analysis of China’s industry. Journal of Cleaner Production, 211, 171–184. DOI:10.1016/j.jclepro.2018.11.170.

• The role of governmental policy in game between traditional fuel and new energy vehicles. Computers & Industrial Engineering, 169, 108292. DOI:10.1016/j.cie.2022. 108292.

• A carbon-constrained EOQ model with uncertain demand for remanufactured products. Journal of Cleaner Production, 199, 334–347. DOI:10.1016/j.jclepro.2018.07. 108.

• Coordination Between Forward and Reverse Production Streams for Maximum Profitability. Omega, 102454. DOI:10.1016/j.omega.2021.102454.

• Design and Realization of an Efficient Environmental Assessment Method for 3R Systems: A Case Study on Engine Remanufacturing. International Journal of Production Research, 58, 5980–6003. DOI:10.1080/00207543.2019.1662132.

Response 1: We are very sorry for the inadequacy of our Literature review. We have expanded our literature review section, added literature on digital transformation(line 130 to 143), policy implications(line 102 to 129), and added the mentioned literature above.

Point 2: Mathematical models are poorly justified, and more supporting references are required.

Response 2: We are very sorry for the inadequacy of our Literature review. We have added literature on the old and new kinetic energy and gradual and radical changes in our literature review (line 194 to 211).

Point 3: Much more often, authors are presenting the mathematical results rather than practical significance implied by that. Furthermore, there are no managerial insights have been developed.

Response 3: Thank you for your suggestion. We have added discussion on the results of the example analysis (line 490 to 588) and give policy recommendations on the management of green transformation of manufacturing industry enterprises (line 589 to708).

Point 4: Although there is some merit in the paper, I feel that the contribution is insufficient, and I think the paper requires a substantial revision to be qualified for the green transformation of manufacturing industry.

Response 4: Thank you for your suggestion. We have expanded the conclusion part, and put forward several suggestions to promote the green transformation of enterprises from the perspectives of ideology, policy support, digital transformation, financial service guarantee system and communication and cooperation, and provided guidance for the practice of green transformation of enterprises from the perspective of government and enterprises (line 489 to 691).

Point 5: Results in Abstract should be presented in a concise form which include substantive content.

Response 5:We are very sorry for our nonstandard writing of abstract. We have revised the abstract, refined the data conclusion and outlined the policy recommendations at the end (line 39 to 46).

Point 6: Some section titles are capitalized for the first letter, such as:

2 The relationship between kinetic theory and the green transformation of manufacturing industry

While some are capitalized for the first letter of each word, such as:

3 Manufacturing Green Transformation Dynamics Model

Response 6:We are very sorry for our nonstandard writing of section titles. We have corrected this problem and checked the full paper to avoid the same problems.

We tried our best to improve the manuscript and made some changes in the manuscript. These changes will not influence the content and framework of the paper.

Special thanks to you for your good comments.

We appreciate for your warm work earnestly, and hope that the correction will meet with approval.

Once again, thank you very much for your comments and suggestions.

Best wishes,

Sincerely yours

Song Hu

School of Economics and Management, Guangxi Normal University, Guilin 541000, China;

E-Mail: husong498617199@163.com

Attachments
Attachment
Submitted filename: Response to Reviewers.docx
Decision Letter - Jing Cheng, Editor

Green transition in manufacturing: dynamics and simulation

PONE-D-22-27384R1

Dear Dr. Hu,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Jing Cheng

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: I Don't Know

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors, covered all my comment in the manuscript. No more revisions need from my side. I hope they can finalize

Reviewer #2: (No Response)

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7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Andrea APPOLLONI

Reviewer #2: No

**********

Formally Accepted
Acceptance Letter - Jing Cheng, Editor

PONE-D-22-27384R1

Green transition in manufacturing: dynamics and simulation

Dear Dr. Hu:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Jing Cheng

Academic Editor

PLOS ONE

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