为更好地促进未来海上风电的可持续发展,该文通过文本量化分析的方法,挖掘分析中英两国海上风电政策的法律文本和政策文件共49份（中国30份、英国19份）,获得中英两国海上风电政策的关注点,使用政策建模一致性（PMC）指数模型建立人工智能政策评价指标体系,并结合PMC指数值和PMC曲面图,对两国各4份具有代表性的政策文本进行量化评价和对比分析。研究发现,两国海上风电政策存在明显差异,主要体现在政策领域、政策内容和激励措施方面,英国的海上风电政策侧重于创新发展、基础研究投资和社会服务,而中国在建设激励、海域管理和合作发展方面仍面临挑战。因此,该文得出中国优化海上风电政策的路径应注重“激励措施→政策内容→政策领域”的顺序,并从这3个方面出发提出完善中国海上风电政策的优化建议。
Abstract
In order to better promote the sustainable development of offshore wind power in the future, this paper excarates and analyzes a total of 49 legal texts and policy documents of offshore wind power policies in China and the UK （30 in China and 19 in the UK） by means of quantitative textual analysis, obtains the concerns of offshore wind power policies in China and the UK, establishes an AI policy evaluation index system using the policy modeling consistency （PMC） index model, and combined with the PMC index value and PMC surface diagram, four representative policy texts from each of the two countries are quantitatively evaluated and comparatively analyzed. It is found that there are obvious differences between the two countries' offshore wind policies, mainly in terms of policy areas, policy contents and incentives, with the UK's offshore wind policy focusing on innovation and development, investment in basic research, and social services, while China still faces challenges in construction incentives, sea area management, and co-operative development. Therefore, this paper concludes that the path to optimise China's offshore wind power policy should focus on the sequence of ‘incentives→policy content→policy areas’, and puts forward optimization proposals to improve China's offshore wind power policy from these three aspects.
关键词
可再生能源 /
海上风电 /
文本挖掘 /
模型评价 /
隐含语义分析
Key words
renewable energy /
offshore wind power /
text mining /
model evaluation /
latent semantic analysis
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基金
水电水利规划设计总院课题（ZY-KJGJ-20230031）; 水电水利规划设计总院课题（ZY-KJGJ-20240003）
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