five

The regret utility matrix for 2022 data.

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://figshare.com/articles/dataset/The_regret_utility_matrix_for_2022_data_/30602916
下载链接
链接失效反馈
官方服务:
资源简介:
This study illuminates the multifaceted influence of Chinese in Africa, driven by the imperative to understand the strategic and economic ramifications of this rapidly evolving relationship. Motivated by the critical role Africa plays in global geopolitics and resource dynamics, alongside Chinese expanding international influences, the research aims to quantitatively and psychologically assess the decision-making processes underpinning this engagement. Adopting a regret theory-based Multiple Criteria Decision Making (MCDM) framework, the study evaluates Chinese impact across 49 African countries from 2018 to 2022, employing six economic indicators to capture the breadth of Chinese activities. Through meticulous normalization, regret utility computation, and total gap analysis, the methodology affords a systematic ranking that reflects the varying degrees of Chinese economic influence. The findings uncover pronounced variances in the level of Chinese engagement across the continent, with countries like Nigeria and Egypt showcasing substantial influence convergence with the theoretical model of ideal economic partnership, whereas others like Cape Verde indicate minimal influence. Contributing to academic and practical discourse, this study not only provides a methodological blueprint for analyzing geopolitical influences but also offers insights that policymakers can leverage to optimize their engagement strategies with Chinese. It foregrounds the interplay between empirical economic data and behavioral economics within international relations research. The study acknowledges limitations, primarily in data availability, which may not capture the full scope of informal economic interactions. It proposes further research to enrich the understanding of the Chinese-Africa nexus through longitudinal studies, integration of qualitative data, and expansion of the analytical model to encompass broader socio-economic impacts and more diverse indicators.

本研究旨在阐明中国在非洲所产生的多维度影响,其研究动因在于亟需厘清这一快速演变的双边关系所带来的战略与经济影响。鉴于非洲在全球地缘政治与资源动态格局中扮演的关键角色,加之中国国际影响力的持续扩张,本研究旨在从定量与心理层面评估支撑中非双方此类互动的决策过程。本研究采用基于后悔理论的多准则决策(Multiple Criteria Decision Making, MCDM)框架,以2018至2022年为研究时段,对49个非洲国家所受中国的影响展开评估,并选取六项经济指标以全面覆盖中国在非各项活动的范畴。通过严谨的标准化处理、后悔效用计算与总差距分析,本研究的方法论可生成系统化的排序结果,以反映中国经济影响力的差异化程度。研究结果揭示了非洲大陆各地中国参与程度的显著差异:尼日利亚、埃及等国与理想经济伙伴关系的理论模型展现出高度的影响力契合度,而佛得角等国则体现出极低的影响力水平。本研究可为学术与实践领域的讨论提供助力:不仅为地缘政治影响分析提供了方法论框架,还可为政策制定者优化对华互动策略提供参考依据。本研究还凸显了国际关系研究中经验经济数据与行为经济学之间的相互作用。本研究承认存在一定局限性,主要源于数据可得性限制,可能无法完全涵盖非正规经济互动的全貌。最后,本研究提出后续研究方向:可通过纵向研究、整合定性数据、拓展分析模型以覆盖更广泛的社会经济影响及更多元的指标,从而深化对中非关系的理解。
创建时间:
2025-11-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作