Peer Review History
| Original SubmissionApril 23, 2021 |
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PONE-D-21-13599 Production Efficiency and Change Characteristics of China’s Apple Industry in Terms of Planting Scale PLOS ONE Dear Dr. Yu Sun, 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. Please submit your revised manuscript by Jun 29 2021 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. Please include the following items when submitting your revised manuscript:
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Thank you for stating the following in your Competing Interests section: [Author Contributions: Conceptualization, Y.S.; methodology, Y.S. and L.Y.; data curation, Y.S.; writing—original draft preparation, Y.S. and Z.W.; editing, Y.S and L.M.There is no financial competition for this article.]. Please complete your Competing Interests on the online submission form to state any Competing Interests. If you have no competing interests, please state "The authors have declared that no competing interests exist.", as detailed online in our guide for authors at http://journals.plos.org/plosone/s/submit-now This information should be included in your cover letter; we will change the online submission form on your behalf. Please know it is PLOS ONE policy for corresponding authors to declare, on behalf of all authors, all potential competing interests for the purposes of transparency. PLOS defines a competing interest as anything that interferes with, or could reasonably be perceived as interfering with, the full and objective presentation, peer review, editorial decision-making, or publication of research or non-research articles submitted to one of the journals. Competing interests can be financial or non-financial, professional, or personal. Competing interests can arise in relationship to an organization or another person. Please follow this link to our website for more details on competing interests: http://journals.plos.org/plosone/s/competing-interests 4. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability. Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized. Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. 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However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form. Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows: [This research was funded by the Shandong Province Modern Agricultural Industrial Technology System (SDAIT-01-13), the Project of Shandong Provincial Department of Education (No: M2020111)] Please include your amended statements within your cover letter; we will change the online submission form on your behalf. 6. Please amend the manuscript submission data (via Edit Submission) to include author Yonghua Lu. [Note: HTML markup is below. Please do not edit.] 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: Partly Reviewer #2: Yes Reviewer #3: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 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: Yes Reviewer #3: Yes ********** 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: Yes Reviewer #3: Yes ********** 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: The paper analyses a quite interesting and important topic of apple production of China and its productivity parameters based on the available statistical datasets, with the appropriate methodology. The results, as well as the conclusions are correct and based on the metodology. Conclusions are right and also limitations are indicated which fact is more tan welcomed. Howevere, for agreeing with publication of this paper, I suggest: - The keywords should be more focused and precise (e.g. indicating China; considering apple production instead of apple industry). - No formal and separated literature review in the paper can be found. I recommend to do one, in a critical, analytical and comprehensive way where the essential international sources are processed. After these improvements, I can accept this paper for publishing. Reviewer #2: The authors need to more accurately take into account the peculiarities of apple production (biological, temporal, climatic, organizational, technological, etc.) and include in the article the statistical data used in the calculations. Reviewer #3: The submitted manuscript meets the requirements for scientific articles. The authors asked research questions. What is the impact of planting scale in the apple industry on production efficiency, as an important cost-intensive factor? What is the threshold for a moderate planting scale? The article presents the measurement of the apple industry performance level on the basis of the Malmquist productivity index using DEA. In the study, a threshold model based on the measurement of apple production efficiency was built, which examines the threshold effect of the apple planting scale on apple production efficiency. Previous studies have focused less on the relationship between the scale of planting and apple productivity. There has been little research in the existing literature on the non-linear effects of the apple planting scale on yield. Based on the threshold model theory, this study focuses on the non-linear effect of the apple planting scale on yield. The results of this study confirm that there is a threshold impact of the apple production scale on production efficiency - this does not mean that the larger the planting scale, the better. The authors reviewed the literature and indicated that the improvement in production efficiency is the result of many factors - family relationships, apple planting experience, natural environmental factors (e.g. climate change, geographic location and natural disasters), equipment and management style (e.g. pesticide use) and irrigation, marketing and organization). All these are important factors that determine that the expansion of the production scale affects the improvement of production efficiency. The authors investigated the impact of planting scale in the apple industry. They identified important factors that determine that a change in the scale of production improves its efficiency. The research used data on seven provinces from statistical yearbooks. The authors report that some of the missing data are based on calculations from the yearly data. I suggest clarification in section 2.1. Research area and data source studies, which have missing data based on calculations from other year data. I recommend the article for publication. ********** 6. 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 #2: Yes: Dr. K.A. Zhichkin Reviewer #3: Yes: Aleksandra Łakomiak [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.
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| Revision 1 |
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Production Efficiency and Change Characteristics of China’s Apple Industry in Terms of Planting Scale PONE-D-21-13599R1 Dear Dr. Yonghua Lu, 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 for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, 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, László Vasa, PhD Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: |
| Formally Accepted |
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PONE-D-21-13599R1 Production Efficiency and Change Characteristics of China’s Apple Industry in Terms of Planting Scale Dear Dr. Lu: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. 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. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Prof. Dr. László Vasa Academic Editor PLOS ONE |
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