Peer Review History
| Original SubmissionApril 28, 2021 |
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PONE-D-21-14017 Green Returns to Education: Does Education Affect Pro-Environmental Attitudes and Behaviors in China? PLOS ONE Dear Dr. Gan, 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. Both qualified reviewers have provided constructive comments for a major revision. Please try to address their concerns as much as you can. I also have two additional suggestions. (1) If the data contain city code, you could include city fixed effects instead of province fixed effects as environmental policies and qualities are very city-specific. (2) In table 9, columns 2 and 4, you should report the coefficient of environmental knowledge variable. Please submit your revised manuscript by Aug 26 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:
If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Shihe Fu, Ph.D. Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 2. We note that you have stated that you will provide repository information for your data at acceptance. Should your manuscript be accepted for publication, we will hold it until you provide the relevant accession numbers or DOIs necessary to access your data. If you wish to make changes to your Data Availability statement, please describe these changes in your cover letter and we will update your Data Availability statement to reflect the information you provide. 3. PLOS requires an ORCID iD for the corresponding author in Editorial Manager on papers submitted after December 6th, 2016. Please ensure that you have an ORCID iD and that it is validated in Editorial Manager. To do this, go to ‘Update my Information’ (in the upper left-hand corner of the main menu), and click on the Fetch/Validate link next to the ORCID field. This will take you to the ORCID site and allow you to create a new iD or authenticate a pre-existing iD in Editorial Manager. Please see the following video for instructions on linking an ORCID iD to your Editorial Manager account: https://www.youtube.com/watch?v=_xcclfuvtxQ [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 ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: 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: No Reviewer #2: 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 ********** 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: This paper aims to estimate the green return to education in China. Using individual data from CGSS 2010, the authors link years of schooling to pro-environmental attitudes and behaviors. To alleviate the endogeneity issue, the authors instrument education attainment with personal exposure to the implementation of the Compulsory Schooling Law in China. Based on a 2SLS model, they find that educational attainment has a moderately positive impact on individual pro-environmental attitudes and behaviors. They further provide evidence that the acquisition of environmental knowledge is one channel that explains the education effect. Below, I outline my suggestions and comments, which hopefully will improve this paper. 1. The sample selection problem. The authors use the 2010 round of CGSS data originally containing 11,783 respondents residing in 134 cities across 31 of China’s provinces. However, due to the missing values of some variables (what variables? Demographic factors or pro-environmental attitude/behaviors?), the authors drop roughly 70% of the observations without show the geographic distribution of the remaining sample, raising the concern of sample representativeness. Besides, the missing rate of outcome variables may be related to respondents’ education level. For example, surveyed individuals with lower education levels may be less likely to answer questions related to pro-environmental attitudes/behaviors. If this is the case, then the analysis is derived from a selected sample and subject to external validity issues. I would suggest the authors conduct balancing checks based on all observational variables between the regression sample and the sample the author dropped. By doing this, the reader could better understand the representativeness of the regression sample. 2. The potential measurement error in pro-environmental attitude/behaviors. Well-educated people may be more likely to over-claim their pro-environmental attitudes and behaviors for keeping a good image. Then the effect of education may be overstated. The authors may include this point in the discussion/caveat section. Also, in section 4.3.2, the authors use an alternative measure of pro-environmental attitudes/behaviors to conduct a robustness check. However, without a detailed elaboration of how to construct these new measurements, the readers are hardly convinced by this piece of evidence. 3. Specification. The current sample contains a long span of birth cohorts. Apart from the province fixed effects, I would suggest the authors include the cohort fixed effects, which captures the time-varying factors related to the pro-environmental attitudes and behaviors. For perspective, people from different cohorts may have different reporting styles, either over-claim or under-claim. They may have different preferences for cleaner air at the cost of income. They also have different techniques for learning new knowledge. Given a substantial difference among various cohorts, I feel the necessity of including the cohort fixed effects in the OLS as well as the 2SLS regressions. 4. Exclusion restrictions. The authors instrument years of schooling with personal exposure to the implementation of the Compulsory Schooling Law in China (CSL, hereafter). This IV passes the weak instrument test. However, it may not pass the requirement of exclusion restrictions. For example, given a strong relationship between educational attainment and labor outcome, treated people may have a higher expectation of their future income. People who are optimistic about their future without fear of insufficient material needs may pay more attention to environmental protection and pursuit higher quality of life. If this is the case, then CSL may affect people’s pro-environmental attitudes and behaviors through multiple channels, failing to address the endogeneity problem. 5. Heterogeneity. The authors split the sample into top quintile and bottom quintile of the income groups and check the heterogeneity by income. I am wondering whether the observations from the high-income group are mainly coming from urban areas, while those in the low-income group are from rural areas. If that is the case, then the results presented in columns (5)-(6) and (11)-(12) are explained by urban-rural status rather than income level. I would suggest the authors check the heterogeneity by income conditioning on gender or urban-rural status, and these results may provide more insight into the influence of income. 6. Typo: It should be Table 5 rather than Table 6 on page 19 paragraph 2. Reviewer #2: This paper examines how educational attainment affects pro-environmental attitudes and behaviors in China. It uses cross-section data from CGSS 2010 and exploits the exogenous variation of implementing Compulsory Schooling Law (CSL) in China to identify a causal relationship. The major issue is endogeneity of educational attainment. Its identification strategy is to instrument education attainment by a variable measuring one’s exposure to CSL. The identifying assumption is that the implementation of CSL is exogenously determined and would not directly affect pro-environmental attitudes and behaviors at adulthood. The estimates show that an additional year of schooling results in an increase of 0.084 in the pro-environmental attitudes and 0.219 in the pro-environmental behaviors. The manuscript is well-polished, but I have a number of comments which may improve this paper. 1. Contribution and the introduction part There is abundant literature documenting the relationship between education attainment and social attitudes or behaviors related to environmental protection. The marginal contribution of this article is to deal with the endogeneity of education in this context. How can we compare the findings of this paper with previous literature? Are the estimates of education attainment different with studies which fail to deal with endogeneity problem or use data from other countries? It is important to understand how different or unique the findings are when we focus on China. A more comprehensive literature review could be helpful. Moreover, is there any theory to predict the relationship between education attainment and pro-social behaviors? Can education attainment negatively affect pro-environmental behaviors or they have a non-linear relationship? The authors could refer to a broader scope of literature and motivate the research question more carefully. 2. Birth cohort fixed effects The age range of respondents in the sample is large. Respondents from different cohorts vary greatly in their social attitudes. By including the age variable may not be enough to control unobserved heterogeneity across birth cohorts. As individuals exposed to CSL are from younger sample, I’m a bit concerned that the major finding that more education attainment promotes pro-environmental attitudes is actually driven by birth cohort variations. I suggest that the authors control cohort fixed effects in the regression, for example, constructing dummies for every 10-year age interval. 3. Interpretation of OLS and IV estimates According to Table 3 and Table 4, we know that if we ignore the endogeneity problem of education OLS will overestimate the effect on pro-environmental attitudes but underestimate that on pro-environmental behaviors. How can we interpret this? Please carefully discuss how OLS estimates and IV estimates are different and why. 4. Alternative mechanism of the findings To interpret the major findings, the authors test the environmental knowledge mechanism among others. The mediation analysis shows that more years of education improves environmental knowledge, hence promoting pro-environmental attitudes and behaviors. But an alternative mechanism could be that individuals with more education attainment have higher incomes, so the marginal utility of pro-social behaviors relative to marginal utility of money is larger for them than that for the poor. As a matter of fact, the authors already did a heterogeneity analysis by splitting the high-income and the low-income. From Table 5 we can know that the positive effect of education attainment is mainly driven by the low-income group. This implies that it is environmental knowledge which plays a role, not marginal utility of alleviating environmental problems. The authors could discuss the mechanisms in more detail here. 5. Scale of measures It is not very clear why and how the authors construct the attitudes questions into a variable ranging from 1 to 15 and the behaviors questions into a variable ranging from 1 to 18. Why not construct two variables of the same range, or just use the original survey questions as dependent variables? Are the findings robust against methods of constructing dependent variables? In addition, I suggest that maximum and minimum of all variables could also be reported in Table 2. 6. Missing sample The sample used in this analysis is 3,661 observations, around 30% of the full CGSS 2010 sample. Are the respondents randomly chosen to answer the pro-environmental questions? More explanation how the sample is constructed could be included. ********** 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: No [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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PONE-D-21-14017R1Green Returns to Education: Does Education Affect Pro-Environmental Attitudes and Behaviors in China?PLOS ONE Dear Dr. Gan, 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. Both the reviewers still raised some minor concerns. 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 Jan 10 2022 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:
If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Shihe Fu, Ph.D. Academic Editor PLOS ONE Journal Requirements: Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: (No Response) Reviewer #2: All comments have been addressed ********** 2. 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: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. 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: (No Response) Reviewer #2: (No Response) ********** 5. 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 ********** 6. 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: (No Response) Reviewer #2: The current manuscript addresses my comments well by providing a more comprehensive literature review, including richer background information and conducting more rigorous regression analysis. However, there are several comments that the authors can take into further account before making it to a publishable version. 1. page 8, line 6: “…but also because China’s unique culture and institution help validate...” page 11, line 18: “In addition, China has its own unique culture and ideology, …” It is not very clear which part of China’s unique cultural or institutional features would help validate the relationship between education and environmental attitudes. The authors should avoid too general arguments without further elaboration in a scientific research paper. Instead, the authors could briefly discuss China’s environmental problems as a consequence of fast industrial growth as part of motivation. That is a unique feature of the Chinese context. 2. page 11, line 5: “…in particular, China, schooling education is examination-oriented and emphasizes competition… are therefore less caring for the environment” page 23, line 8: “people that are obsessed with personal achievement might care less for the environment.” There is no solid evidence to support the negative association between education and pro-environmental attitudes. The authors should elaborate very carefully how willingness to compete conflicts with pro-environmental attitudes, and why this is unique in China. As a matter of fact, I think there is no need to raise this point. The downward bias of OLS estimates might be driven by measurement error. I would prefer not to mention this channel. 3. Page 14: why are only those born in February, September, November or December asked about environmental attitudes and behaviors in CGSS? It is difficult to understand. 4. typos page 7, line 6: “While there are large number of papers…” should be “there are a large number of …” page 10, line 13: “… skills accumulated through education make individuals be familiar with…”, delete “be” page 10, line 15: “… people with higher level of formal education…”, should be “with a higher level” ********** 7. 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: No [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 2 |
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Green Returns to Education: Does Education Affect Pro-Environmental Attitudes and Behaviors in China? PONE-D-21-14017R2 Dear Dr. Gan, I see you have addressed the referees' comments well in this second-round revision and there is no need to send out for review again. 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, Shihe Fu, Ph.D. Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: |
| Formally Accepted |
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PONE-D-21-14017R2 Green Returns to Education: Does Education Affect Pro-Environmental Attitudes and Behaviors in China? Dear Dr. Gan: 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 Dr. Shihe Fu Academic Editor PLOS ONE |
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