Study on the Factors Affecting the Green Housing Purchase Intention in Urban Residents—Taking the Beijing-Tianjin-Hebei Region as an Example

Round 1

Reviewer 1 Report

This paper takes urban residents in the Beijing-Tianjin-Hebei region as the research object, and based on the theory of planned behavior, identifies five influencing factors such as purchasing attitude, subjective norms, perceived behavior control, environmental concern and green housing product attributes, and builds a model of influencing factors of urban residents' green housing purchase intention in the Beijing-Tianjin-Hebei region. The article has some policy value, but there are some shortcomings.

1. The innovative nature of the article needs to be clarified. The authors do not have sufficient knowledge of research advances and frontiers. The modelling approach used is relatively traditional and the problems addressed are not well targeted. Therefore, it is recommended that the authors carefully review the existing research results and clarify their contribution.

2.    Authors should invite native English-speaking colleagues to help polish the language of their articles.

3.    The article has too few references and the authors should add enough novel articles, such as the following.

1）Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data

 

2 ）Understanding the Relationship between China’s Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data.

Author Response

We thank you for the critical comments and helpful suggestions. We have taken all these comments and suggestions into account, and have made major corrections in this revised manuscript.

1. Before starting this research, we have read a large number of excellent literatures in relevant fields at home and abroad, and have a sufficient understanding of the latest progress and frontier issues in the research field. On this basis, according to the actual situation of urban residents in China's Beijing-Tianjin-Hebei region buying green housing, we study the purchase intention of urban residents in the Beijing-Tianjin-Hebei region, and write this article. In view of your suggestion, we have made a supplementary explanation in the first part of the article, hoping to get your approval.
2. According to your suggestions, we have polished the language of the article, hoping to get your approval.
3. As for your suggestion that the number of references in the article is too small, we have supplemented the number of references in the article and marked them in the article, hoping to get your approval.

Author Response File: Author Response.docx

Reviewer 2 Report

The manuscript is relevant and may be of interest to the readers.

Minor corrections are however required.

Particularly, a dedicated conclusion section is needed, apart from discussion.

The significance levels for main parameters reported in the conclusion shall be provided as well.

Limitations of the study and potential follow-up of the study can be discussed.

More relevant and recent references are also required.

Author Response

We thank you for the critical comments and helpful suggestions. We have taken all these comments and suggestions into account, and have made major corrections in this revised manuscript.

1. In view of your suggestions on adding conclusions and limitations, we have made a supplementary explanation at the end of the paper, hoping to get your approval.
2. In this paper, we conducted reliability experience, validity test, exploratory factor analysis, confirmatory factor analysis, model fit test and model hypothesis test on the sample data, which is sufficient to show that the sample data is sufficient to show the existence of real differences, so it is not necessary to do the significance test of parameters again.
3. We have updated the latest reference materials in this field in the article, and we hope to get your approval.

Reviewer 3 Report

The work focused on enhancing green housing in a use case located in China. Although the research question and motivation is justified, the work needs to be improved before furthering the review process. The following comments are pointed out:

1- The authors investigated the effect of six factors on the green housing in the use case. It is unclear why only these six factors were considered and not others, e.g. the availability of green energy sources in the study area. I would highly suggest that the authors conduct a detailed literature review on the factors affecting the green building growth in general to justify their consideration.

2- The survey included 25 questions that were distributed among the six categories evaluated in this work. However, some questions appear to be quite generic and/or identical to one another, such as those considered for Purchasing Attitude (PA). This, in my opinion, would adversely impact the accuracy of survey outcome.

3 - The authors mentioned that 250 data points were collected during their questionnaires. However, compared to the population size in the area considered for the study, Beijing-Tianjin-Hebei Region, the data size seems too small. This makes the questionnaire outcome less realistic. Please clarify.

4 - There is no conclusion part in the paper. The Discussion section should be more concise, and some of the information stated there should be relocated to the Conclusion section. In addition, the work constraint, such as whether the work considered office building or simply residential construction, should be included in the conclusion.

Author Response

We thank you for the critical comments and helpful suggestions. We have taken all these comments and suggestions into account, and have made major corrections in this revised manuscript.

1. In view of your reasons for using six factors, such as purchasing attitude, subjective norms, perceived behavioral control, environmental concern, green housing product attributes and purchase intention, we provided a supplementary explanation in the beginning of the second part of this paper, "Methods". In view of the fact that the purchase of green housing by urban residents is a complex process influenced by many factors, although scientific research is made in the process of research, it is difficult to avoid subjective factors and cannot fully cover all the influencing factors. The fifth part of the article explains it in detail. In addition, the first part of the article, "Introduction", reviews the literature in related research fields.
2. In response to your concerns about the accuracy of the survey results, we conducted reliability and validity tests on the sample data to ensure the accuracy of the measurement results of the sample data and the degree of measurement of the characteristics of the measurement indicators. The results of reliability test and validity test meet the basic requirements of statistical research methods for samples.
3. In response to your concern about the small number of questionnaires, although our sample data is small, it can still better represent the basic situation of the residents in the Beijing-Tianjin-Hebei region, and also meet the basic requirements of the statistical research methods for sample data.
4. According to your suggestions on the discussion and conclusion of the paper, we have supplemented the conclusion of the paper and added the limitations existing in the research process of the paper in the discussion part.

 

Round 2

Reviewer 1 Report

Thanks for your detailed response.

 

Author Response

We thank you for the critical comments and helpful suggestions. 

Reviewer 3 Report

I would like to thank authors for their effort on revising the manuscript. However, I would like to suggest further revisions as outlined below.

The authors have referenced existing literature regarding the purchase intention of green housing in their paper. However, it is noted that there is a lack of discussion and citation of these literature sources, which can make the literature review appear generic and unsupported. It is suggested that the authors provide a more thorough examination of a few literature works before referencing them.

With regards to the survey data used in the study, the authors argue that although the sample size is small, it is sufficient to represent the basic situation of residents in the Beijing-Tianjin-Hebei region and meet the requirements of statistical research methods. However, it would be beneficial for the authors to further clarify how this small sample size is able to accurately represent the basic situation and meet the requirements of statistical research methods.

Additionally, the revised version of the paper lacks a conclusion section. The discussion section provided does include some explanation of the limitations of the work, but it is important to note that a conclusion section is quite different than Discussion section and should include a summary of the main findings of the research, a brief discussion on the research methodology, and an examination of any limitations or future work.

Author Response

We thank you for the critical comments and helpful suggestions. We have taken all these comments and suggestions into account, and have made major corrections in this revised manuscript.

1. In view of your suggestions on the modification of the literature cited in the article, we briefly gave examples of the literature cited in the article in the first part of the "Introduction", and at the same time combed and summarized the views put forward in the literature, hoping that the revised version can get your approval.
2. In view of your suggestion on Sample size, we have detailed explanation in article 2.4. Sample Data Collection. The sample size of structural equation model should be between 200 and 500, but the sample size is too small, so the stability of statistical analysis and the applicability of each item index cannot be guaranteed. If the sample size is too large, the absolute fit index is more likely to reach the significant level in the structural equation fit test, that is, the probability that the hypothesis model does not fit the actual data will increase, which will increase the possibility of model rejection. Therefore, we increased the sample size to 350, among which 325 were valid questionnaires, and the effective rate was 92.85%.
3. According to your suggestions on the conclusion of the article, we have modified and supplemented the conclusion of the article, hoping that the revised version can be approved by you.

Author Response File: Author Response.docx

Round 3

Reviewer 3 Report

Thank you to the authors for addressing the majority of my previous comments. However, the paper still lacks a section titled "CONCLUSION." As suggested, Section 5 can be revised to follow the standard structure of a research paper conclusion, which should briefly summarize the research methodology and key findings, followed by limitations and recommendations. Assuming Section 5 of the current version to be the work conclusion, its title needs to be revised, and it also does not include a summary of the research methodology and main outcomes. Aside from this missing aspect of the conclusion, the rest of the paper appears to be in good order.

Author Response

We thank you for the critical comments and helpful suggestions. We have taken all these comments and suggestions into account, and have made major corrections in this revised manuscript.

In response to your comments, we have modified the chapter titles of Section 4 and Section 5 of the article, and supplemented and adjusted the content of the conclusion. We hope that the revised version can be approved by you.

Author Response File: Author Response.docx