Predicting the Market Penetration Rate of China’s Electric Vehicles Based on a Grey Buffer Operator Approach
Round 1
Reviewer 1 Report
The article entitled “Prediction of China's New Energy Vehicles Market Penetration Rate under the External Shock Disturbance: Based on Grey Buffer Operator Approach” has been reviewed and the review comments are appended herewith. In order to improve the paper, the suggested changes mentioned below, may be incorporated and the paper may be re-submitted.
1. In the Abstract or in the Introduction part, it is better to define “What is NEV - New Energy Vehicle”, i.e., which are the various types of energy variants of vehicle considered in this study ?
2. Review points Under section “Literature Reviews” should be thoroughly revisited and needs to be rewritten with clarity. For example, the sentence, “Li Xiaomin et al. (2022) further added procurement policy tools of government and public institutions as independent variables base on literature[13] research [14], should be re-structured with clarity.
3. Please use abbreviated form of (NEV) of New Energy Vehicles in the section heading:- 2. New Energy Vehicles Market Penetration Rate Prediction Model”.
4. Define “Grey Buffer Operator” clearly.
5. The authors have used this referencing format:- Guo Suilei, Wei Shuyan. Selection of Policy Tools for China's New Energy Vehicle Industry Development[J]. 427 Scientific and Technological Progress and Countermeasures,2014, 31(21):99-103. However, the proper format is found to be:- “Wei Shuyan, Guo Suilei. Policy infrastructure selection with the development of new energy vehicles industry in China. Progress and Policy; 2014;31: 99-103”. Complete restructuring of the reference formatting should be done using reference manager software. The referencing should be consistent.
6. The authors have used both “Parenthetical citations” and “Numerical citations”, which is not correct and consistent. Consistent style of citation and referencing format should be used.
7. The paper needs to be proof-read.
8. Need more references to be cited for performance and life cycle aspects of EVs that impact the sale of the EVs in the market penetration. The following references may help to add more argument in the paper.
1. Loganathan, M. K., Tan, C. M., Sultana, S., Hsieh, I.-Y. L., Kumaraswamidhas, L. A., & Rai, R. N. (2021). Parametric performance analysis of battery operated electric vehicle. In 2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET) (pp. 1-6). Hyderabad, India. doi:10.1109/SeFet48154.2021.9375788.
2. Loganathan, M. K., Anandarajah, G., Tan, C. M., Msagati, T. A. M., Das, B., & Hazarika, M. (2021). Review and selection of recycling technology for lithium-ion batteries made for EV application - A life cycle perspective. IOP Conference Series: Earth and Environmental Science, 012011. https://dx.doi.org/10.1088/1755-1315/1100/1/012011.
English needs to be slightly improved
Author Response
Please refer to the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Dear Editor,
I am writing to provide my review of the manuscript "Prediction of China's New Energy Vehicles Market Penetration Rate under the External Shock Disturbance: Based on Grey Buffer Operator Approach" submitted for publication consideration in Sustainability. Overall, this paper tackles an important and timely issue regarding China's adoption of electric vehicles and the impacts of government policy. The authors utilize an interesting forecasting approach combining grey system theory and buffer operators. However, there are several ways the paper could be strengthened.
In the introduction and literature review, adding more background information on global EV markets, China's specific EV policies, and consumer preference research would help frame the context and rationale for the study. The data and methods should be explained more clearly, especially the functioning of the buffer operators, and include the data sources. I suggest expanding the discussion of results to provide more interpretation of the findings and implications under the different scenarios. Additionally, the conclusion should highlight key insights from the model rather than just summarizing the numbers, and the policy recommendations could be more specific.
Below I have compiled a list of major comments for the authors to address:
1. The introduction lacks information on the current state of new energy vehicle adoption globally. Adding statistics on EV sales and market share in other major countries would help frame China's market penetration in a broader context.
2. More background is needed on China's specific policies and targets for new energy vehicle adoption, beyond the 20% goal for 2025. Discussing the evolution of policies over time would help justify the timeline chosen for analysis.
3. The literature review is quite thorough on forecasting models, but could be expanded with more discussion of research on the impacts of different policy tools and consumer preferences. This would strengthen the rationale for considering scenarios with and without subsidies. I also suggest the authors review the following published papers in the field of grey systems and their application in sustainability or the electric vehicles market to have a deeper lecture review.
4. In the data and methods section, explain and justify the chosen buffer operators more clearly. The purpose and functioning of the operators should be understandable to readers less familiar with grey system theory.
5. The scenario assumptions need more explanation - what specifically are the industrial support policies under scenario 1, and why would they hypothetically be discontinued under scenario 2?
6. For transparency and reproducibility, the data used for analysis should be provided in a supplementary file or appendix.
7. In the results and discussion, spend more time interpreting the findings and their implications. For example, discuss the policy and technology factors that could lead to the different scenario outcomes.
8. The conclusion focuses on summarizing the numerical findings rather than their meaning. Conclude by emphasizing the key insights from your model about China's new energy vehicle market under different policy environments.
9. The policy recommendations are reasonable but lack specificity. Provide actionable suggestions for adjusting subsidy programs and implementing non-monetary incentives.
10. Carefully proofread the paper to fix minor grammatical errors throughout. Ensure formatting and citations consistently adhere to the journal's author guidelines.
In summary, the paper would benefit from more background context, details on data and methods, deeper discussion of implications, and refinement of writing and formatting. Addressing these issues could potentially make the paper acceptable for publication after major revisions.
Making revisions to address these comments would significantly improve the paper and potentially make it suitable for publication after major changes. Please feel free to contact me if you have any questions. I look forward to seeing the revised manuscript.
Sincerely,
Dear Editor,
I am writing to provide my review of the manuscript "Prediction of China's New Energy Vehicles Market Penetration Rate under the External Shock Disturbance: Based on Grey Buffer Operator Approach" submitted for publication consideration in Sustainability. Overall, this paper tackles an important and timely issue regarding China's adoption of electric vehicles and the impacts of government policy. The authors utilize an interesting forecasting approach combining grey system theory and buffer operators. However, there are several ways the paper could be strengthened.
In the introduction and literature review, adding more background information on global EV markets, China's specific EV policies, and consumer preference research would help frame the context and rationale for the study. The data and methods should be explained more clearly, especially the functioning of the buffer operators, and include the data sources. I suggest expanding the discussion of results to provide more interpretation of the findings and implications under the different scenarios. Additionally, the conclusion should highlight key insights from the model rather than just summarizing the numbers, and the policy recommendations could be more specific.
Below I have compiled a list of major comments for the authors to address:
1. The introduction lacks information on the current state of new energy vehicle adoption globally. Adding statistics on EV sales and market share in other major countries would help frame China's market penetration in a broader context.
2. More background is needed on China's specific policies and targets for new energy vehicle adoption, beyond the 20% goal for 2025. Discussing the evolution of policies over time would help justify the timeline chosen for analysis.
3. The literature review is quite thorough on forecasting models, but could be expanded with more discussion of research on the impacts of different policy tools and consumer preferences. This would strengthen the rationale for considering scenarios with and without subsidies. I also suggest the authors review the following published papers in the field of grey systems and their application in sustainability or the electric vehicles market to have a deeper lecture review.
4. In the data and methods section, explain and justify the chosen buffer operators more clearly. The purpose and functioning of the operators should be understandable to readers less familiar with grey system theory.
5. The scenario assumptions need more explanation - what specifically are the industrial support policies under scenario 1, and why would they hypothetically be discontinued under scenario 2?
6. For transparency and reproducibility, the data used for analysis should be provided in a supplementary file or appendix.
7. In the results and discussion, spend more time interpreting the findings and their implications. For example, discuss the policy and technology factors that could lead to the different scenario outcomes.
8. The conclusion focuses on summarizing the numerical findings rather than their meaning. Conclude by emphasizing the key insights from your model about China's new energy vehicle market under different policy environments.
9. The policy recommendations are reasonable but lack specificity. Provide actionable suggestions for adjusting subsidy programs and implementing non-monetary incentives.
10. Carefully proofread the paper to fix minor grammatical errors throughout. Ensure formatting and citations consistently adhere to the journal's author guidelines.
In summary, the paper would benefit from more background context, details on data and methods, deeper discussion of implications, and refinement of writing and formatting. Addressing these issues could potentially make the paper acceptable for publication after major revisions.
Making revisions to address these comments would significantly improve the paper and potentially make it suitable for publication after major changes. Please feel free to contact me if you have any questions. I look forward to seeing the revised manuscript.
Sincerely,
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
This paper shows the statics of NEV in China and predicate the market sceniors which is very good using grey buffer approach.
1. Firstly Title of the manuscript is to be corrected the current title having some mismatch with the content.
2. Abbrevations to be given for ease refrence.
3. Seems this paper is more of a review paper and not an research paper.
4. line 11, what is GM?
5. Some literatures are missing which are need to be discussed;
Mopidevi, S., Narasipuram, R.P., Aemalla, S.R. and Rajan, H. ‘E-mobility: impacts and analysis of future transportation electrification market in economic, renewable energy and infrastructure perspective’, Int. J. Powertrains, Vol. 11, Nos. 2/3, pp.264–284, 2022.
Rajanand Patnaik Narasipuram, Subbarao Mopidevi, A technological overview & design considerations for developing electric vehicle charging stations, Journal of Energy Storage, Volume 43, 2021, 103225.
6. line 131 - 153 are unclear make it more elaborate with step by step.
7. Fig 1 font is different.
8. line 250 - what is AWBO
9. All Tables names are to be replaced with Table instead of Tab
10. Section 5.2 is discussed in conclusion? need to discuss in the midway sections and the present format is not good.
11. Overall the connection to the conclusion is missing.
English to be improved alot and format is not proper many errors are there.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 2 Report
the paper can be accepted in the current version
the paper can be accepted in the current version
Author Response
Dear reviewer,
Thanks very much for taking your time to review my manuscript and put forward valuable comments again. Combined with you and another reviewer’s suggestions, we have made the following amendments to the manuscript, and the modified part we showed with yellow highlight in the manuscript.
- According to the order in which abbreviations appear in the paper, a list of abbreviations has been added to the appendix so that readers can better understand the content of the paper.
- Further proofread and modify the grammatical errors and some statements in the paper, mainly including tenses, consistent descriptions, etc.
- Supplement relevant references, more comprehensively reflect the research status of electric vehicle industry policy related fields and provide theoretical support for paper writing.
Reviewer 3 Report
My comments are modified - but still need to have the list of abbrevations at the end of manuscript is better to improve.
Author Response
Dear reviewer,
Thanks very much for taking your time to review my manuscript and put forward valuable comments again. Combined with you and another reviewer’s suggestions, we have made the following amendments to the manuscript, and the modified part we showed with yellow highlight in the manuscript.
- According to the order in which abbreviations appear in the paper, a list of abbreviations has been added to the appendix so that readers can better understand the content of the paper.
- Further proofread and modify the grammatical errors and some statements in the paper, mainly including tenses, consistent descriptions, etc.
- Supplement relevant references, more comprehensively reflect the research status of electric vehicle industry policy related fields and provide theoretical support for paper writing.
