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Article
Peer-Review Record

Structural Reform, Technological Progress and Total Factor Productivity in Manufacturing

Sustainability 2023, 15(1), 432; https://doi.org/10.3390/su15010432
by Dechao Han
Reviewer 1:
Reviewer 2:
Reviewer 3:
Sustainability 2023, 15(1), 432; https://doi.org/10.3390/su15010432
Submission received: 8 November 2022 / Revised: 22 December 2022 / Accepted: 23 December 2022 / Published: 27 December 2022

Round 1

Reviewer 1 Report

Dear Author, 

You must know how to write the abstract of the study, abstract word limits should bot more than 250 words. Furthermore, you should start with the major problem of the study in a maximum of two sentences, then methodology, findings, and implications if any. 

Secondly, the author (s) should revise the introduction of the study, basically, the introduction should start with a practical problem, then relate the theoretical solutions, and the last propose the methodological gap as well. 

Thirdly, the author (s) should discuss the findings of the results in separate headings and should support the findings with previous studies. 

Fourth, the author (s) must provide the study implications in terms of practical theoretical, and methodological perspective

Fifth, the author also must provide the limitations and future recommendations of the study. 

Author Response

Thank you very much for your valuable advice, which will help improve my ability and make me know how to better express my opinions in the future.

Please refer to the attachment for the revised content.

Best wishes and good luck

Thank you again!

Author

 

Author Response File: Author Response.pdf

Reviewer 2 Report

Dear Authors,

This is an interesting article that focuses on the important issue of quantifying the effect of structural reform on the total change in the productivity of a selected country (in this case, China). 

Literary research is an explanation of individual broader contexts from which ared derived predetermined variables. Subsequently, structural equations are created. Thus, the proposed econometric model is a suitable tool for measuring the effects of structural reform and changes in productivity and innovation potential. Of course, in principle, econometric regression does not imply causality. Furthermore, inappropriately specified econometric models may show a spurious correlation where two variables are correlated but causally unrelated. In addition, empirical data used to make econometric models represents past behavior  which may change in future and is ineffective at isolating causal relationships.

But these possible problems do not apply to the model designed in this article.

From the point of view of the possibility of replicating the proposed methodology of this article, I believe that it is possible to supplement the econometric model with controlled experiments.

From the point of view of increasing productivity and innovation potential, I think it is possible to successfully use the almost unlimited human and knowledge potential that China currently possesses. I believe it is essential for the sustainability of economic performance to create synergistic interaction links with countries that currently have almost unlimited natural resources (coming from an almost unlimited living space). I think it is necessary to support both applied and theoretical and methodical research to maintain dominance in scientific and technical development and thereby generate products with high added value (and a high-profit margin).

I personally liked the article. This is a carefully conducted study that uses a sophisticated methodological apparatus. The research topic is also very significant. So I recommend the editorial board accept and publish the article.

Best wishes and good luck,

reviewer

Author Response

Thank you very much for your valuable advice, which has benefited me a lot and inspired me a lot.

I agree with you. China's economic development ultimately depends on the improvement of production efficiency, and technological progress is the best path and source (of course, the optimization of resource allocation can also bring about the improvement of efficiency). However, High-quality human capital and good institutional environment determine the speed of technological progress. From this point of view, I believe that the improvement of human capital and the reform of the system are the key to solving the problem.

Please refer to the attachment for the revised content.

Best wishes and good luck

Thank you again!

Author

Author Response File: Author Response.pdf

Reviewer 3 Report

This is very good article actually but you need to arrange it properly. Too  many lengthy  sentences   without   sufficient references. Consequently  I consider  those  long sentences  as  your  opinion  which is less   supported  by empirical  finding  and theory  based.  The   blatant example  in  line  296. How do you determine   the  indicator system of China’s economic structural reform?  The table as you show no  references imply that they are  your opinions which  based on no evidence  and no previous  study.   Also the English starting from the title  has   been confusing. There two sentences here:

1. Will Economic Structural Reform Push the Growth of Total Factor Productivity in China’s Manufacturing Industry?

2.Based on the Angle of Techological Progress

Waiting for your revised  version. Rewrite it in simple not lengthy sentences.

Comments for author File: Comments.pdf

Author Response

Thank you very much for your valuable advice, which will help improve my ability and make me know how to better express my opinions in the future.

Best wishes and good luck!

Thank you again!

Author

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

Dear  Authors,

The paper  is much improved  now. My concern  is  only  how  you present  Table 1. Please   refer  again to  journal  guidelines.  The journal requires  to cite  the sources  in the table; which belongs to Furman[17] which belongs to Zhao[18], and which belongs to  others.

Author Response

Thank you for your valuable comments!

Author

Author Response File: Author Response.pdf

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