The Spatiotemporal Patterns and Driving Mechanism of the Synergistic Effects in Industrial Green Production

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

1. The introduction insufficiently elaborates on the significance of the synergistic effect of industrial green production and lacks a thorough exposition of the theoretical foundation for the synergy between the digital economy and industrial green production. A complete theoretical framework for their interaction has not been constructed, resulting in an incomplete theoretical perspective. Relevant policies are also inadequately cited and need supplementation.
2. The indicator system is constructed by combining the Analytic Hierarchy Process with the entropy weight method, but it lacks innovation. It mainly refers to existing guidelines and studies without explicitly proposing new indicators that distinguish it from previous research.
3. The selection of the coupling coordination degree model and the Geographically Weighted Regression (GWR) model lacks rationality analysis. It is suggested to supplement a comparison with other models to explain why the selected models are more suitable for capturing the spatiotemporal heterogeneity of synergistic effects.
4. The missing data in the paper are supplemented by interpolation, but the specific method is not explained. It is recommended to clarify the type of interpolation, elaborate on the reasons for adopting such an interpolation method, and verify the robustness of the interpolation results.
5. The connection between the "spatial pattern" section and the "driving factors" section in the paper is inadequately discussed. It is suggested to add transitional analysis to illustrate the intrinsic relationship between the two.
6. When analyzing the spatial heterogeneity of driving factors, the paper insufficiently elaborates on the mechanism of action of each factor and fails to combine specific contexts such as regional industrial structure and policy environment to explain the underlying reasons for such spatial differences.
7. The paper divides 30 provinces into eastern, central, and western regions without explaining the basis for the division. It is recommended to clarify the zoning criteria to enhance the verifiability of the results.
8. Although the perspective of the whole life cycle in the paper is valuable, it does not combine policy innovations under the dual-carbon goals. It is suggested to expand the analysis dimension to explore how dual-carbon policies can improve the three-stage synergy efficiency, highlighting the timeliness of the research.
9. The policy recommendations put forward in the paper are relatively macro, not refined into specific and operable measures based on empirical results, and fail to discuss potential obstacles in implementation and corresponding coping strategies, resulting in insufficient integration of innovation and practicality.
10. The integration of methods is low. The selected methods are all conventional applications without reflecting innovative integration. It is suggested to attempt method improvement or integration to embody methodological innovation while improving the accuracy of the ranking of the importance of driving factors.

Author Response

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Reviewer 2 Report

Comments and Suggestions for Authors

Dear Author,

The manuscript titled “The spatiotemporal patterns and driving mechanism of the synergistic effects in industrial green production” provides valuable insights into China's current use of green technology, which generally enhances industrial production capacity. The authors systematically review existing research to date. Briefly, they emphasize the importance of technological innovation and management optimization in industrial production, which tends to lower pollutant emissions. Their three main perspectives on life cycle production, covering green sources, green processes, and the green production stage, are well-aligned with the ESG framework criteria. Additionally, they address this pressing issue from a macroeconomic perspective, which is not common in prior studies.

Research methodology offers a relevant overview of key quantitative indicators crucial for China's sustainable development. They also accurately classify relevant factors within green production systems using authoritative government data sources. Trends in green production capacity across different Chinese regions are detailed through standardized index indicators.

 

Before publishing this study, I suggest establishing a null hypothesis based on current findings. Doing so is essential for advancing research insights and benefiting the wider scientific community.

Author Response

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Reviewer 3 Report

Comments and Suggestions for Authors

(1) The introduction lacks relevant real-world data concerning green production in the industrial sector, such as industrial output and industrial investment figures.

(2) The literature review is overly simplistic. It is recommended to start a new paragraph to systematically review the literature and clarify how your research differs from previous studies.

(3) The synergistic effects of the three stages of industrial green production are not sufficiently analyzed or discussed from a theoretical perspective.

(4) The statistical description of the data is seriously lacking. Merely listing the data sources is not sufficient.

(5) Table 4 lacks annotations for the regression coefficients, such as t-values or standard errors.

(6) Please revise Section 4 as a discussion section. Discuss your research in terms of research background, significance, main findings, and limitations, and highlight how it differs from existing studies.

Author Response

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Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

well done

Author Response

Thank you very much for your appreciation of our research work. Best wishes for your health and work.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

Please carefully read the writing methods for the discussion section in the relevant English literature, and continue to revise and improve the discussion part.

Author Response

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