Peer Review History

Original SubmissionJanuary 23, 2024
Decision Letter - Stephen Esaku, Editor

PONE-D-24-02107Investigating the Dynamics of Tax Evasion and Corruption in Somali Customs: A Dual-Model ApproachPLOS ONE

Dear Dr. Nor,

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. Specifically

  • Address issues raised about your modeling approach
  • Address all comments raised by the reviewers

Please submit your revised manuscript by Apr 04 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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We look forward to receiving your revised manuscript.

Kind regards,

Stephen Esaku

Academic Editor

PLOS ONE

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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: Partly

Reviewer #3: No

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

Reviewer #1: Yes

Reviewer #2: No

Reviewer #3: 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

Reviewer #3: 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: No

Reviewer #3: 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: 1. Based on the theories of principal-agent, information asymmetry and rent-seeking, this paper collects data from the government, the private sector and the social sector, and examines the causal relationship between corruption and tax evasion in the national context. The theory is solid and rich, the data are comprehensive and detailed, and the topic selection is valuable.

2. The two models of "the economic impact of tax evasion and corruption" and "the social and political impact of tax evasion and corruption" are explored. The two models are not completely separated but have a certain correlation, and further discussion on this part may be more complete.

3. The basis for describing the measurement method of each indicator is not presented and is not convincing enough.

4. In the quantitative analysis part, reliability analysis and heteroscedasticity test were carried out on the data, but multicollinearity test was lacking to avoid the strong correlation between the respective variables

The results are distorted, and the empirical analysis continues to be revised.

5.Whether this survey data in August 2023 is sufficiently representative of corruption and tax evasion in the country's society, and whether the results of the study vary according to the circumstances of a particular period, so robustness is necessary

6.Some fresh related papers can be asded, eg:

Sun H., Edziah B K., Sun C., Kporsu A K., 2021. Institutional quality and its spatial spillover effects on energy efficiency,Socio-Economic Planning Sciences, 101023. https://doi.org/10.1016/j.seps.2021.101023.

Reviewer #2: This is an important topic for Somalia. However, I found that too many jargons used in the analysis and it is very difficult to follow the story. I recommend the author to submit the paper to professional proof read service and submit it again.

Reviewer #3: I like quantitive approach and the PA/RS as a combined concept, PA indicates that A's have the power to act against the P (enabling corruption practices) and RS model discusses the incentive structure to choose corruption. Separating them into different regression equations seems not appropriate, but combining them into a single model that contains the "systemic opportunity structure" and and "personal incentive structure" seems a nice explanation for perceived tax evasion. This could also be nicely lined up with other studies on tax compliance that apply the slippery slope model, where the coercive power could facilitate the opportunity structure and the persuasive power the personal incentive structure.

Unfortunately this also leads to my biggest criticism: Your dependent variable does not measure tax evasion, but the individually perceived prevalence of tax evasion. Also the measure is drawn from the same survey that is used to identify your independent variables. So what your model actually measures is the extent in which the perception of the surveyed individuals on tax evasion is coherent with their perception of the system of policies. This would probably explain the high R-squared. (To ensure the high R2 is not caused by overfitting, perform some robustness checks, e.g. by randomly eliminating 15-20% of the observations and repeat this process, then compare the outcomes).

Technically the model seems to be not appropriate. The survey questions are manually grouped into "latent variables" but they are not independent, the same question must influence the answer to other questions. For example, CFTEC: weak regulatory enforcement should be directly associated with PIS: strengthening enforcement and penalties and ELRF: enforcement of penalties and sanctions. The two linear regression models do not take such interactions into account. A structural equation model (SEM) would therefore be more appropriate (ignoring the non-independent measure of tax evasion aforementioned).

Not all is lost, the survey is interesting and performing a exploratory (or possibly confirmatory) factor analysis to assess the "emergence" of the latent variables and explain them in the PA/RS setting would be useful and possibly generalizable. This could provide a framework in which the author can explain how counter TE policies could be designed to become more effective. Please be advised to add information on the role of the respondent as to place the responses properly (e.g. does the person work for the customs, is it a business person, or is the respondent a "victim" of TE practices). This could also contribute to a better explanation of the subjective view of the system (policy makers might think they do the right thing because they don't perceive the thing right). Changing the paper's scope to explain the perception of TE and find what determines such views can be very relevant for future policy design (so perform CFA) and could be publishable. Since you have the data and the framework, I did not reject the paper fully.

A few minor comments: your text has a lot of repetition which must be reduced. For example, ever sentence in section 2.2.2. claims the same argument: RS is the individual enrichment without creating societal value. Also, even if the author is spot-on with the policy recommendations, there is no clear scientific argument presented in the paper that backs these recommendations. So the author should better relate the policy recommendation with the model outcomes and literature review.

Finally, provide the data into a public repository to meet the journal's standards. Also, since you are using survey data, you need to have an informed consent form the respondents (which I can't find here) and you need to have an ethics commission reviewing your research. The piece could also gain form some language editing and changes in the structure.

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

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Revision 1

We have addressed the issues raised about our modeling approach, and addressed all comments raised by the three (3) reviewers.

Thanks

Attachments
Attachment
Submitted filename: Respsonse on comments of Reviewer 3.pdf
Decision Letter - Stephen Esaku, Editor

PONE-D-24-02107R1Investigating the Dynamics of Tax Evasion and Revenue Leakage in Somali CustomsPLOS ONE

Dear Dr. Nor,

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.

Specifically

  • Address the minor comments raised by Reviewer 3

Please submit your revised manuscript by 24th April 3024. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.
  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.
  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.
If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Stephen Esaku

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

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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 #3: (No Response)

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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: Yes

Reviewer #3: Partly

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

Reviewer #1: Yes

Reviewer #3: I Don't Know

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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 #3: Yes

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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 #3: Yes

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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: This study aims to investigate the dynamics of tax evasion and revenue leakage in the Somali customs framework, providing insights into the systemic opportunity structures, tax governance deficiencies, and personal incentive structures that facilitate these practices. The current modifications are relatively complete, with a reasonable structure and strong arguments. It is neccessary to provide the data into a public repository to meet the journal's standards. It is necessary to optimize the innovation points at present, and further optimization can be carried out.

The format of the entire text needs to be unified according to the needs of the publication, for example, some literature does not have a unified citation format.

It is also necessary to deepen the discussion in the final part of the paper.

Reviewer #3: First I would like to congratulate the authors with the extensive rework they have done on implementing a new statistical approach and implementing factor analysis for their measurement model. The factor analysis is supporting the authors' allocation of latent variable indicators strongly, so this part of the analysis is done well. Also the authors have answered all the reviewers remarks, which is a considerable effort, so congratulations for that work too.

Unfortunately I still have a few more remarks, textual (1 and 3) and one empirically, (2):

1. Yet implementing the SEM approach also resulted in stating the hypotheses, but I cannot clearly find the support for the hypothesis in the preceding paragraphs. For example, the first paragraph seems to indicate both H1 and H4, yet H4 is listed later in the text. Also, I cannot find a justification for H2 and H5. Also, while H6 seems logical, I cannot find clear support within the text. Perhaps all these hypotheses are mentioned, but to me they are not clear enough and I would like to see e.g. "(H2)" in the text after the claim.

2. I played around with the provided data, in order to understand the model better, but I cannot explain the output of the SEM as reported by the authors. I recommend adding a diagram showing the full model (preferably with coefficients and p-values), which makes it easier to fully understand the model. My results depict a different outcome where I cannot find support for H1, H2 and H5. Therefore, if possible, please provide the used code to enable reproducibility (there is no way for me to validate the quality of your statistical analysis, hence this is why I have answered not to be able to assess if the manuscript is technically sound as well as the statistical analysis (PLOS ONE review questions 2 and 3).

3. Two minor remarks are that I would like to see the survey structure (with the answering options) to give a clear picture of how respondents could answer their questions. Also, the terminology used in Figure 1 seems to be not related to the associated text, and therefore I would recommend renaming the objects in figure 1 accordingly.

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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: No

Reviewer #3: No

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[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Revision 2

Rebuttal letters that respond to the comments of the academic editor and reviewers are uploaded in the system.

Attachments
Attachment
Submitted filename: Respsonse on comments of the AcademicEditor.pdf
Decision Letter - Stephen Esaku, Editor

Investigating the Dynamics of Tax Evasion and Revenue Leakage in Somali Customs

PONE-D-24-02107R2

Dear Dr. Nor,

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 will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager® and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, 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,

Stephen Esaku

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 #4: All comments have been addressed

Reviewer #5: 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 #4: Yes

Reviewer #5: Yes

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

Reviewer #4: Yes

Reviewer #5: Yes

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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 #4: Yes

Reviewer #5: Yes

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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 #4: Yes

Reviewer #5: 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 #4: Review Report

Comments for the authors:

1. The paper has an interesting topic and it is well structured.

2. The abstract is clear and has all the requirements for understanding the paper topic and highlights.

3. The introduction section is well constructed and is a roadmap for the paper. It encompasses all objectives, scope, and research strategy.

4. The literature review has an extended framework and contains both an analytical part, a theoretical part, and an empirical part.

5. The research hypothesis and questions and well structured and developed.

6. The material and methods part encounters all the information required for the development of the research techniques, procedures, and data analysis.

7. Results and well explained and tackle all the econometric tools and data interpretation methods.

8. The conclusion’s part is a very interesting and analytical one. It encompasses also some policy recommendations and explains in detail the pros and cons of the study.

9. The references list has been carefully constructed and cited in the text by the authors.

Reviewer #5: Thank you for sending his paper for review

The authors have addressed many of the comments. However, they should consider the following before publication.

1. The findings can be improved in the abstract section.

2. The motivation of the paper is needed to improve. The contributions of the study are suggested to be written clearly. Finally, the theoretical support for the topic is missing.

3. Why only focus on Somali? Provide reasons and rationale.

4. Updating the literature review part is required. It is advised to add the following to the literature: https://doi.org/10.1108/JFRA-06-2022-0234

https://doi.org/10.1108/IJPPM-09-2022-0486

https://doi.org/10.1016/j.jretconser.2023.103301

https://doi.org/10.3390/su152316138

https://doi.org/10.1007/s11301-023-00319-7

https://doi.org/10.1080/23311975.2023.2190195

https://doi.org/10.1016/j.najef.2021.101574

5. Expand the implications and insights from the findings of the study in the final remarks section.

6. More support from the literature should be provided for your writing.

7. Proofread the manuscript, as there are many typos.

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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 #4: No

Reviewer #5: No

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Formally Accepted
Acceptance Letter - Stephen Esaku, Editor

PONE-D-24-02107R2

PLOS ONE

Dear Dr. Nor,

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

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, 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.

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

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Stephen Esaku

Academic Editor

PLOS ONE

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