Selection preference and effectiveness quantification of provincial energy security policies in China

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Expert Systems Pub Date : 2024-08-19 DOI:10.1111/exsy.13711
Liangpeng Wu, Yujing Tang, Qingyuan Zhu
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Abstract

Energy security constitutes a pivotal determinant in safeguarding the seamless functioning of economies. This research endeavours to shed light on the underlying predilections and potential scopes for enhancement within China's provincial energy security policies. By delving into an array of policy documents procured from the esteemed Legal Information Network of Peking University, it offers a meticulous exploration. Employing sophisticated text analysis methodologies, the study constructs a two‐tier analytical framework, meticulously encapsulating both the policy instruments employed and the intricate processes of their execution. Leveraging the power of Nvivo 12 Plus software, pertinent policy contents are systematically coded, with those aligning with the defined analytical dimensions aggregated for frequency computations. Furthermore, a Policy Measurement and Categorization (PMC) index model is devised, harnessing word frequency statistical data to assign a quantitative assessment to the policies under scrutiny. The empirical results demonstrate a noteworthy disparity in the adoption of policy tools among various provinces, with command‐and‐control mechanisms, economic incentive structures, and societal engagement strategies emerging as the most recurrent policy types. Among the energy security policies scrutinized, approximately 84.85% were categorized as effective, while a smaller yet significant portion, 6.06%, was classified as outstanding. Despite the overall robustness of China's provincial energy security policies, the investigation identifies several avenues for further refinement. The study suggests that the government could bolster these measures through intensified focus on transformative adjustments to energy structures, augmentation of green loan guarantee systems, and fostering enhanced inter‐sectoral collaboration. These strategic enhancements may serve as key levers to propel China's provincial energy security policies towards even greater effectiveness and resilience.
中国省级能源安全政策的选择偏好与效果量化
能源安全是保障经济正常运行的关键因素。本研究试图揭示中国省级能源安全政策的基本倾向和潜在改进空间。通过深入研究从北京大学法律信息网上获取的一系列政策文件,本研究进行了细致的探索。研究采用了复杂的文本分析方法,构建了一个双层分析框架,细致地概括了所采用的政策工具及其复杂的执行过程。利用 Nvivo 12 Plus 软件的强大功能,对相关政策内容进行了系统编码,并将符合所定义的分析维度的内容汇总起来进行频率计算。此外,还设计了一个政策衡量和分类(PMC)指数模型,利用词频统计数据对所审查的政策进行量化评估。实证结果表明,各省在采用政策工具方面存在显著差异,指挥控制机制、经济激励结构和社会参与战略是最常见的政策类型。在接受调查的能源安全政策中,约 84.85% 被归类为有效政策,另有 6.06% 的政策被归类为无效政策。尽管中国各省的能源安全政策总体上比较稳健,但调查也发现了一些需要进一步完善的途径。研究建议,政府可以通过加强对能源结构转型调整的关注、扩大绿色贷款担保体系以及促进跨部门合作来强化这些措施。这些战略改进措施可作为关键杠杆,推动中国省级能源安全政策取得更大成效,并增强其韧性。
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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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