This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
The impact of rural digitization on agricultural carbon emissions and its mechanism pathways
Downloads
Supplementary Files
Authors
Chenchen Ren,
Kuan Li 
Abstract
This paper utilizes provincial macro data from 2011 to 2020 to thoroughly investigate the impact of rural digitization on agricultural carbon emissions. The research findings reveal that rural digitization significantly reduces agricultural carbon emissions, a conclusion confirmed through robustness and endogeneity tests. Using a "technology effect-knowledge effect" logical framework, it is found that agricultural technological advancements and rural human capital act as intermediary pathways. These advancements indirectly achieve carbon reduction by promoting agricultural technological progress and enhancing rural human capital levels. Heterogeneity tests indicate that the "carbon reduction effect" is most significant in eastern regions, while it is weakest in the western regions due to disparities in rural digitization levels. Additionally, the study uncovers a significant spatial correlation and spillover effect between rural digitization and agricultural carbon emissions, implying that rural digitization in one region can notably reduce carbon emissions in surrounding areas. Consequently, it is recommended to further improve rural digitization development levels, fully leverage the benefits of digital advancements, and provide impetus for sustainable agricultural development.
DOI
https://doi.org/10.31223/X5FQ3T
Subjects
Environmental Studies
Keywords
Rural Digitization, Agricultural Carbon Emissions, sustainable development, Carbon Reduction Effect
Dates
Published: 2024-08-06 14:31
Last Updated: 2024-08-06 21:31
License
CC BY Attribution 4.0 International
Additional Metadata
Data Availability (Reason not available):
The datasets utilized in this study are sourced from the China Agricultural Yearbook, China Animal Husbandry Yearbook, China Statistical Yearbook, China Population and Employment Statistical Yearbook, China Rural Statistical Yearbook, China Information Industry Yearbook, the National Bureau of Statistics, and local statistical yearbooks.
While these data are publicly available, certain restrictions apply to their access and use. Due to legal and privacy constraints, raw data may not be shared directly. Access to some specific datasets may be restricted to ensure compliance with data protection regulations and to safeguard sensitive information.
Interested researchers can request access to these datasets by contacting the corresponding author at 15735171641@163.com. Access will be granted on a case-by-case basis, depending on compliance with legal requirements and the ethical guidelines of the data providers.
Conflict of interest statement:
Author Declaration
As the authors of this study, we hereby declare that there are no competing interests related to our submitted manuscript. Our research is conducted with complete independence and transparency. Specifically:
1. Financial Competing Interests:
o Funding: This research did not receive any funding from external sources. All expenses were borne by the authors.
o Stock Ownership: None of the authors hold stocks or shares in any company that might be perceived as a conflict of interest concerning this research.
o Employment: The authors are not employed by any organization that could be considered as influencing the outcomes of this research.
2. Non-Financial Competing Interests:
o Advisory Roles: None of the authors serve on any advisory boards that could have an interest in the publication of this manuscript.
o Expert Witness: None of the authors have served as expert witnesses in any proceedings related to the research topic.
o Editorial Board Relationships: We have no personal or professional relationships with any member of the editorial board of the journal to which this manuscript is submitted.
o Previous Editorial Positions: None of the authors have held any editorial positions that might influence the publication process of this paper.
3. Personal Relationships: The authors have no personal relationships or affiliations that could be perceived as having influenced the work reported in this paper.
4. Author Contributions: Each author has made significant contributions to the conception, design, execution, and analysis of the study, ensuring the integrity and objectivity of the research findings.
5. Ethics Statement: The study complies with ethical standards and all applicable guidelines, ensuring the research's integrity and ethical conduct.
6. Data Availability: The datasets used and analyzed during the study are available upon reasonable request from the corresponding author.
7. Prior Interactions with PLOS: The first author has previously had the honor of publishing an article in this journal. However, this submission marks the first time this article has been submitted to the journal, and there have been no previous interactions regarding this manuscript.
By submitting this statement, we affirm our commitment to upholding the highest standards of transparency and integrity in scientific reporting.
There are no comments or no comments have been made public for this article.