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Article
Peer-Review Record

Digital Government Development, Local Governments’ Attention Distribution and Enterprise Total Factor Productivity: Evidence from China

Sustainability 2023, 15(3), 2472; https://doi.org/10.3390/su15032472
by Enji Li 1, Qing Chen 1, Xinyan Zhang 2 and Chen Zhang 2,*
Reviewer 1:
Reviewer 2:
Sustainability 2023, 15(3), 2472; https://doi.org/10.3390/su15032472
Submission received: 1 January 2023 / Revised: 22 January 2023 / Accepted: 24 January 2023 / Published: 30 January 2023
(This article belongs to the Topic Digital Transformation and E-Government)

Round 1

Reviewer 1 Report

The study has many good points to share. some minor improvements required. 

1) Please get the paper proofread, as there are many grammatical mistakes 

2)   In the abstract section, Add information about the estimation technique.

3) Introduction section is little bit lengthy. make more good.  study is well organized and contributions are ok. 

4) The last paragraph of the introduction section should be explained more, and the focus should be on the research gap. It will add more value to readers. 

5) Literature and hypothesis are ok

6) Data is from 2010 to 2017, it should be updated to 2021/2022. The conclusion drawn on 5 years old data may be less relevant. moreover, due to covid period this digital governments has emerged much more. authors should try to update data.

7) Table 1 is good effort. please add source of data in this table along with  some studies in the next column that has used these studies and measured like this.

8) Results are presented in a good way. from table 2 to 10, add below table Author's Calculation and also dependent variable name. 

9) finally add some limitations of the study.

The study is good and presented in a good way. the above suggestions may help to make it even more. thanks

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Journal: Sustainability (ISSN 2071-1050)

Manuscript ID: sustainability-2169293

Type: Article

Title: Digital Government Construction, Attention Distribution and Enterprise Total Factor Productivity

 

 

Comments and Suggestions for Authors:

The paper discusses a very important topic in the era of digital transformation, which is the impact of the establishment of digital government on the enterprise's total factor productivity (TFP) and the moderating effect of local government attention distribution.

The researchers showed well the objectives of the research, its importance, method, procedures, results, recommendations, etc.

But the use of the language in the article is not professional in some parts; therefore, the authors are asked to read the entire article again and improve the use of the English language. Some parts sound as if they were not written by the native speaker, the construction of sentences is not proper; and that is why the language needs to be improved.

Thank you

Author Response

Thank you very much for your comments. We have asked a professional organization to edit the draft and also asked colleagues who are English majors to help revise the grammar of the article. Please see the revised draft for specific changes.

Reviewer 3 Report

The current study seems to be a well-written review study on the merits of digital government construction and total factor productivity. It is well organized and follows what is expected of a scientific study. I can only suggest that the title of the article can be revised so that it better reflect the main aim and the content of the study. In its current form, it is too general. 

Author Response

Thank you for your advice. We have changed the title of the article to “Digital Government Development, Local Governments’ Attention Distribution and Enterprise Total Factor Productivity: Evidence from China”.

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