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| DOI | 10.1371/journal.pone.0297784 |
| Chinese organic rice transition spatial econometrics empirical analysis | |
| 发表日期 | 2024 |
| ISSN | 1932-6203 |
| 起始页码 | 19 |
| 结束页码 | 4 |
| 卷号 | 19期号:4 |
| 英文摘要 | Based on the integrated model of Super-SBM model, spatial Durbin model (SDM) and Grey neural network model, this paper analyzes the panel data of various provinces in China from multiple angles and dimensions. It was found that there were significant differences in eco-efficiency between organic rice production and conventional rice production. The response of organic rice to climate change, the spatial distribution of ecological and economic benefits and the impact on carbon emission were analyzed. The results showed that organic rice planting not only had higher economic benefits, but also showed a rising trend of ecological benefits and a positive feedback effect. This finding highlights the importance of organic rice farming in reducing carbon emissions. Organic rice farming effectively reduces greenhouse gas emissions, especially carbon dioxide and methane, by improving soil management and reducing the use of fertilizers and pesticides. This has important implications for mitigating climate change and promoting soil health and biodiversity. With the acceleration of urbanization, the increase of organic rice planting area shows the trend of organic rice gradually replacing traditional rice cultivation, further highlighting the potential of organic agriculture in emission reduction, environmental protection and sustainable agricultural production. To this end, it is recommended that the Government implement a diversified support strategy to encourage technological innovation, provide guidance and training, and raise public awareness and demand for organic products. At the same time, private sector participation is stimulated to support the development of organic rice cultivation through a public-private partnership model. Through these measures, further promote organic rice cultivation, achieve the dual goals of economic benefits and environmental benefits, and effectively promote the realization of double carbon emission reduction targets. |
| 语种 | 英语 |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS类目 | Multidisciplinary Sciences |
| WOS记录号 | WOS:001202890500050 |
| 来源期刊 | PLOS ONE
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/286681 |
| 作者单位 | Nanning Normal University |
| 推荐引用方式 GB/T 7714 | . Chinese organic rice transition spatial econometrics empirical analysis[J],2024,19(4). |
| APA | (2024).Chinese organic rice transition spatial econometrics empirical analysis.PLOS ONE,19(4). |
| MLA | "Chinese organic rice transition spatial econometrics empirical analysis".PLOS ONE 19.4(2024). |
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