{"dcterms:modified":"2026-05-10","dcterms:creator":"Harvard Dataverse","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.2","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.10.1 build iqss-3","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://dataverse.harvard.edu/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.7910/DVN/VV0QZG","ore:describes":{"citation:dsDescription":{"citation:dsDescriptionValue":"After the end of the Cold War, civil wars and post-war peace-building have gradually become the core issues of international security governance. Despite the substantial resources invested by the international community in peace-building practices, there are significant differences in the effectiveness achieved by different countries in these practices. Based on the “peace-building triangle”, the author constructs a three-dimensional analytical framework encompassing international support, social cohesion, and social resilience. Using Fuzzy-Set Qualitative Comparative Analysis (fs/QCA), the author conducts configurational analysis on 28 civil war cases from 1991 to 2024. The findings reveal four sufficient condition configuration types that lead to high levels of peace-building effectiveness: (1) the aid-cohesion type, where international aid allocation synergizes with domestic identity cohesion; (2) the peacekeeping-resilience type, relying on peacekeeping operations to rebuild security environments and activate local resilience; (3) the social resilience type, driven by endogenous political participation and economic well-being; and (4) the cohesion-resilience type, which emphasizes the synergistic effect of social cohesion and societal resilience. Through process tracing of cases in Rwanda, Sierra Leone, Croatia, and Mozambique, the research confirms that peace-building is embedded in a state-building process oriented by social cohesion and societal resilience, international interventions mainly provide auxiliary support for peace-building by compensating for domestic capacity deficits or forming positive complementarities with local advantageous factors. By employing mixed methods, the author transcends variable-oriented linear analyses, revealing the complex causal mechanisms in post-conflict peace-building.  冷战结束后，内战以及战后的和平重建逐渐成为国际安全治理的核心议题。尽管国际社会投入大量资源进行和平建设实践，但不同国家在和平建设实践中取得的成效存在显著差异。基于“和平建设三角模型”，作者建构了包含国际支持、社会凝聚力与社会复原力的三维分析框架，运用模糊集定性比较分析对1991—2024年间28个内战案例进行组态分析，揭示了四种导致高水平和平建设成效的充分条件组态类型：以高水平发展援助和种族同质性为核心条件的援助—凝聚型；以大规模维和与高水平参与为核心条件的维和—复原型；以政治参与水平和经济福祉提升为核心驱动力的社会复原型；以及强调社会凝聚力与社会复原力协同作用的凝聚—复原型。对卢旺达、塞拉利昂、克罗地亚和莫桑比克四个典型案例进行过程追踪后发现，和平建设内嵌于以社会凝聚力和社会复原力为导向的国家建设进程之中，国际干预主要通过弥补国内能力短板，或与本土优势要素形成良性互补，为和平建设提供辅助支持。有别于变量导向的线性分析，作者运用混合方法揭示了和平建设“多重并发、殊途同归”的复杂因果机制，为后冲突社会选择差异化的重建方案提供了理论依据与实践启示。","citation:dsDescriptionDate":"2025-04-08"},"author":[{"citation:authorName":"Chen, Fei","citation:authorAffiliation":"Central China Normal University","authorIdentifierScheme":"ORCID","authorIdentifier":"0000-0003-4600-0500"},{"citation:authorName":"Yang, Jining","citation:authorAffiliation":"Central China Normal University","authorIdentifierScheme":"ORCID","authorIdentifier":"0009-0003-7718-9913"}],"citation:datasetContact":{"citation:datasetContactName":"Young, JiNing","citation:datasetContactAffiliation":"Central China Normal University","citation:datasetContactEmail":"yanghaha611986@163.com"},"publication":{"publicationCitation":"Fei Chen and Jining Yang, “What Determines the Effectiveness of Post-civil War Peace-building: Path Mining and Verification based on Fuzzy-Set Qualitative Comparative Analysis and Process Tracing,” World Economics and Politics (世界经济与政治), Forthcoming.","publicationRelationType":"IsSupplementTo"},"title":"Replication Data for: What Determines the Effectiveness of Post-civil War Peace-building: Path Mining and Verification based on Fuzzy-Set Qualitative Comparative Analysis and Process Tracing","citation:depositor":"Young, JiNing","subject":"Social Sciences","dateOfDeposit":"2025-04-08","@id":"https://doi.org/10.7910/DVN/VV0QZG","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"5.0","schema:name":"Replication Data for: What Determines the Effectiveness of Post-civil War Peace-building: Path Mining and Verification based on Fuzzy-Set Qualitative Comparative Analysis and Process Tracing","schema:dateModified":"Fri Apr 25 22:53:56 EDT 2025","schema:datePublished":"2025-04-08","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"JiNing Young Dataverse","@id":"https://dataverse.harvard.edu/dataverse/haha","schema:isPartOf":{"schema:name":"Harvard Dataverse","@id":"https://dataverse.harvard.edu/dataverse/harvard","schema:description":"<span><span><span><h3>Share, archive, and get credit for your data. 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