Digital Transformation, Green Innovation, and Pollution Abatement: Evidence from China
Round 1
Reviewer 1 Report
Introduction: It does not bring adequate reasoning to defend the need of this manuscript.
Literature review: Research hypotheses should be clearly defined.
Theoretical and practical implications: The proposed theoretical contributions and practical implications appear to be weak. It should be strengthened. The implications are supposed to tell us what the sector can learn from the research and how they can use it.
Limitations and directions for future research: This section needs further exploration.
Author Response
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Author Response File: Author Response.pdf
Reviewer 2 Report
I have carefully reviewed your manuscript and would like to provide the following feedback for your consideration. I believe that addressing these points will further strengthen your paper.
In your description of the model, you mention, "We depart from the abatement function in the literature by assuming that abatement activity does not only depend on abatement investment but also green intermediate input and digital-specific technology." Could you please provide a more detailed explanation? Specifically, on line 231, you refer to "digital-specific green inputs." How should readers understand this particular input? Are you concerned only with this type of green input, or with all digital activity inputs? In this context, how do you define the digital transformation discussed in the paper?
The digital transformation index used in section 3.3 mainly relates to the internet. You need to explain whether such measurements and definitions will help readers understand the impact on green innovation. For industrial enterprises, digital twins are essential digital tools. Which specific indicator do they correspond to?
Overall, the research methodology and results presentation are fairly detailed. I suggest that you describe the process of sample selection.
It is necessary to strengthen the discussion of the results and point out the potential limitations of the study and directions for future research.
I believe the following publications may be helpful for your understanding of green innovation, environmental governance, and fixed effects research in the internet environment:
Cai, P., Zhang, C., & Chai, J. (2023). Forecasting hourly PM2.5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms. 6(1), 46–54.
Liu, M., Guo, J., & Bi, D. (2023). Comparison of administrative and regulatory green technologies development between China and the U.S. based on patent analysis. 6(1), 34–45.
Wan, G., Dawod, A. Y., Chanaim, S., & Ramasamy, S. S. (2023). Hotspots and trends of environmental, social and governance (ESG) research: A bibliometric analysis. S2666764923000097.
In summary, I believe that addressing the points raised above will help improve the quality and clarity of your manuscript. I look forward to seeing the revised version of your paper.
Author Response
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Author Response File: Author Response.docx
Reviewer 3 Report
The good research and interesting from the perspective of digitalization and pollution abatement. Enjoyed reading.
Statements:
1. The research is rather well constructed.
2. The method used is adequate and presented.
3. Data used are adequate.
Suggestions:
1. The article lack significant discussion. Conclusions and implications are present, however, quality discussion is lacking.
2. Would improve the abstract with implications.
Author Response
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Author Response File: Author Response.docx
Reviewer 4 Report
Please find attached file.
Comments for author File: Comments.pdf
Author Response
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Author Response File: Author Response.docx
Round 2
Reviewer 2 Report
The paper is significantly improved.