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| Blockchain-based innovations of agricultural non-point source pollution control information management and supervision mechanism |
| Received:October 24, 2023 |
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| KeyWord:blockchain;agricultural non-point source pollution control;information management mechanism;supervision mechanism;alliance chain |
| Author Name | Affiliation | E-mail | | LIANG Xiaohe | Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs, Beijing 100081, China | | | ZHOU Ailian | Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs, Beijing 100081, China | zhouailian@caas.cn | | YUAN Tong | Agricultural Trade Promotion Center, Ministry of Agriculture and Rural Affairs, Beijing 100125, China | | | ZHANG Yi | Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China | |
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| Abstract: |
| Problems in China's agricultural non-point source pollution control include hidden dangers of information security and problematic enterprises and low regulatory efficiency caused by incomplete mechanisms. A mechanism of agricultural non-point source pollution control information management and supervision mechanism based on blockchain was proposed. Aiming to coordinate system structure and mechanism function between blockchain and agricultural non-point source pollution control, a Fabric alliance chain framework system for agricultural non-point source pollution control was built. Innovation of the mechanism involved two aspects of agricultural non-point source pollution:control information management and supervision. The innovative application of blockchain technology is expected to improve system structure and modeling of agricultural non-point source pollution control, ensure the security of agricultural non-point source pollution control information, promote the effective supervision of the behavior of related stakeholders, and reduce the cost and complexity of governance. The findings document the formation of a stereoscopic network and governance logic of information free transmission and flow between government and agricultural business entities. |
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