Empowering Sustainable Farming: Harnessing Digital Technology for Green and Low-Carbon Agricultural Practices
Agricultural digitization is crucial for enhancing agricultural productivity and efficiency and promoting green low-carbon development. Based on the provincial panel data of China from 2012 to 2021, this study employs the entropy value method and the GML index based on SBM-DDF to quantify agricultur...
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Published in | Sustainability Vol. 17; no. 4; p. 1617 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.02.2025
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Subjects | |
Online Access | Get full text |
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Summary: | Agricultural digitization is crucial for enhancing agricultural productivity and efficiency and promoting green low-carbon development. Based on the provincial panel data of China from 2012 to 2021, this study employs the entropy value method and the GML index based on SBM-DDF to quantify agricultural digitization and agricultural green total factor productivity. It utilizes two-way fixed effects, group regression, and threshold effect models to examine the influence of agricultural digitization in agriculture on the green and carbon-reduction progression of farming practices, as well as to clarify the underlying mechanisms behind these effects. The study finds that agricultural digitalization significantly promotes agricultural green low-carbon development. Green innovation and scale operation mediate the impact path of agricultural digitalization, and there is a threshold effect of digital financial inclusion. Moreover, agricultural digitization has a significant impact on the eastern region and a smaller impact on the central and western areas, and the effect is better in regions with high levels of innovation. The results of the study provide a scientific basis for the synergizing of agricultural digitization and agricultural development that is green and low-carbon, as well as for the construction of relevant subjects for interest cooperation and sharing mechanisms. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 2071-1050 |
DOI: | 10.3390/su17041617 |