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基于智能区块链的自然资源资产管理与生态治理对策。

Smart blockchain-powered natural resource asset management and ecological governance countermeasures.

作者信息

Huang Wende, Han Yuan, Gu Qiang, Han Xiaolong, Gao Tiansheng

机构信息

School of Water Resources and Electric Power, Qinghai University, Xining City, 810016, China.

School of Construction Engineering, Weinan Vocational & Technical College, Weinan City, 714000, China.

出版信息

Heliyon. 2025 Jan 2;11(2):e41475. doi: 10.1016/j.heliyon.2024.e41475. eCollection 2025 Jan 30.

Abstract

In response to the challenges of significant governance difficulties, low regulatory efficiency, and high enforcement difficulty in the ecological governance system of Qinghai Province, this study proposes an innovative solution aimed at remarkably enhancing the ecological governance system and capabilities nationwide. Through an in-depth analysis of the core advantages of blockchain technology (BT), this study customizes a set of blockchain-based ecological governance strategies for Qinghai Province, while also providing valuable references for the ecological governance of other resource-based cities. The innovation of this study lies in the application of BT to the field of ecological governance, particularly in the management of ecological environments in resource-based cities. Firstly, the necessity and feasibility of blockchain empowering resource-based urban ecological governance are analyzed, demonstrating its unique potential in addressing traditional governance challenges through decentralization, transparency, and tamper resistance. Secondly, a framework for natural resource management services based on blockchain is constructed, offering new technological support for ecological governance. An in-depth analysis of the current status of ecological environmental governance in Qinghai Province reveals that although the ecological environment quality (including water and air quality) in Qinghai Province improved in 2021 compared to 2020, there is still room for improvement in ecological enforcement and compensation systems. Therefore, this study proposes a development strategy for ecological governance based on BT. By introducing core blockchain functionalities such as smart contracts and distributed ledgers, the automation and transparency of ecological enforcement are achieved. Meanwhile, the ecological compensation mechanism is optimized to ensure fair resource distribution and sustainable ecological development. This study's contribution lies in providing new ideas and methods for ecological governance in Qinghai Province and other resource-based cities. By integrating BT, not only can the efficiency and effectiveness of ecological governance be enhanced, but it can also promote ecological civilization and social sustainability. This study recommends that relevant departments and institutions increase investment and support for the application of BT in ecological governance, and promote the research and application of related technologies. Simultaneously, it is necessary to strengthen policy guidance and legal framework construction to furnish robust guarantees for the application of BT in ecological governance. Furthermore, enhanced inter-departmental and inter-regional cooperation and communication are needed to jointly promote the improvement and progress of the ecological governance system.

摘要

针对青海省生态治理体系中存在的重大治理困难、监管效率低下和执法难度高等挑战,本研究提出了一种创新解决方案,旨在显著提升全国生态治理体系和能力。通过深入分析区块链技术(BT)的核心优势,本研究为青海省定制了一套基于区块链的生态治理策略,同时也为其他资源型城市的生态治理提供了有价值的参考。本研究的创新之处在于将BT应用于生态治理领域,特别是在资源型城市的生态环境管理中。首先,分析了区块链赋能资源型城市生态治理的必要性和可行性,证明了其在通过去中心化、透明性和抗篡改解决传统治理挑战方面的独特潜力。其次,构建了基于区块链的自然资源管理服务框架,为生态治理提供了新的技术支持。对青海省生态环境治理现状的深入分析表明,尽管2021年青海省的生态环境质量(包括水质和空气质量)与2020年相比有所改善,但生态执法和补偿体系仍有改进空间。因此,本研究提出了基于BT的生态治理发展策略。通过引入智能合约和分布式账本等核心区块链功能,实现了生态执法的自动化和透明性。同时,优化了生态补偿机制,以确保资源的公平分配和生态的可持续发展。本研究的贡献在于为青海省和其他资源型城市的生态治理提供了新的思路和方法。通过整合BT,不仅可以提高生态治理的效率和效果,还可以促进生态文明和社会可持续性。本研究建议相关部门和机构增加对BT在生态治理应用中的投资和支持,推动相关技术的研究和应用。同时,有必要加强政策指导和法律框架建设,为BT在生态治理中的应用提供有力保障。此外,还需要加强部门间和区域间的合作与沟通,共同推动生态治理体系的完善和进步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c1f/11787457/5c0a9f47fcf6/gr1.jpg

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