<b>DIGITAL CARBON JUSTICE IN SPORT: ASSESSING TRANSBOUNDARY EMISSION SHIFTS AND SOCIAL BURDENS IN FOOTBALL AND ESPORTS</b>

<b>Title:</b><br>Digital Carbon Justice in Sport: Uncovering Transboundary Emission Shifts and Social Burdens in Football and Esports<b>Study Overview:</b>This study develops and tests the concept of <i>Digital Carbon Justice (DCJ)</i>, a new middle-range theory that explains how digital sport systems, such as streaming platforms, esports ecosystems, and smart stadiums, redistribute environmental burdens across time, place, and population. While digitalisation in sports is often framed as enabling sustainability, our findings reveal that efficiency gains are conditional, distributed, and frequently obscured by organisational communication practices. This study employs a multi-method design, randomised field experiments, staggered difference-in-differences, agent-based simulation, and computational text analysis to showcase three fundamental theoretical contributions.i. <b>Rebound as governable:</b> efficiency-induced rebound can be mitigated through eco-defaults and sustainability information systems.<b>Infrastructural displacement:</b> the siting of content delivery networks and data centres redistributes carbon and water burdens across geographies.<b>Measurement justice:</b> disclosure–performance gaps are structurally produced by accounting regimes and attenuated by independent assurance.<b>Data Description:</b>This data preserves the joint distributions, treatment effects, and diagnostic statistics reported in the appendices, while eliminating any risk of personal identification or contractual disclosure restrictions.i. <b>Unit of analysis:</b> viewer session (football and esports).<b>Sample size:</b> 300,000 sessions (scalable to 5.92 million, as reported in the study).<b>Variables include:</b>a. Device characteristics (desktop, mobile, TV, VR)Country ISO codes, grid carbon intensity (kgCO₂e/kWh), and water stress indicesExperimental treatments (eco-default assignment, real-time prompts, circularity defaults) and complianceFan behaviours (watch-time, bitrate choice, opt-up behaviour, low-energy adoption)Outcomes: energy per viewer-minute (Wh), emissions per session (gCO₂e, location-based)Organisational metadata (football vs esports, club/league identifiers)<b>Supporting Materials:</b>The repository includes full replication appendices:i. Appendix A: descriptive statistics, representative sample, correlation matrix, and collinearity diagnostics.Appendix B: regression results (intention-to-treat and 2SLS-style).Appendix C–E: robustness, text analysis codebook, and validation outputs.The README file provides a description of the generation code, seed values, and scaling instructions.<b>Use and Limitations:</b>The dataset is suitable for reproducing all descriptive and inferential analyses reported in the article. It can be used by scholars interested in digital sustainability, rebound effects, infrastructural justice, and greenwashing in the sport sector.标题：体育领域的数字碳正义（Digital Carbon Justice, DCJ）：揭示足球与电竞中的跨界排放转移与社会负担 研究概述：本研究构建并验证了数字碳正义（Digital Carbon Justice, DCJ）这一新型中程理论，该理论阐释了流媒体平台、电竞生态系统、智能体育场等体育数字系统如何在时间、地域与人群间重新分配环境负担。尽管体育领域的数字化常被塑造成可持续发展的赋能路径，但本研究结果显示，效率提升是有条件的、分布不均的，且常被组织传播实践所遮蔽。本研究采用多方法设计，涵盖随机实地实验、渐进双重差分模型、基于智能体的模拟与计算文本分析，阐释了三项核心理论贡献： 1. 可治理的反弹效应：通过生态默认设置与可持续性信息系统，可缓解效率提升引发的反弹效应； 2. 基础设施位移效应：内容分发网络与数据中心的选址会在不同地域间重新分配碳与水资源负担； 3. 计量正义：披露-绩效差距由会计制度结构性产生，并可通过独立鉴证予以缓解。 数据集说明：本数据集保留了附录中报告的联合分布、处理效应与诊断统计量，同时消除了个人身份识别风险与合同披露限制。 1. 分析单元：观众观看会话（涵盖足球与电竞场景）； 2. 样本量：30万个观看会话（可根据研究需求扩展至592万个，与本研究报告一致）； 3. 包含变量： a. 设备特征：台式机、移动设备、电视、虚拟现实（VR）设备； b. 国家ISO代码、电网碳排放强度（单位：千克二氧化碳当量/千瓦时，kgCO₂e/kWh）与水资源压力指数； c. 实验处理设置：生态默认分配、实时提示、循环默认设置与合规情况； d. 粉丝行为：观看时长、码率选择、升级行为、低能耗模式采纳行为； e. 结果变量：单观众每分钟能耗（单位：瓦时，Wh）、单会话排放量（单位：克二氧化碳当量，gCO₂e，基于地理位置计算）； f. 组织元数据：足球与电竞场景区分、俱乐部/联赛标识符。 配套材料：本数据集仓库包含完整的可复现附录： 1. 附录A：描述性统计量、代表性样本、相关矩阵与共线性诊断结果； 2. 附录B：回归分析结果（意向性治疗与两阶段最小二乘法（Two-Stage Least Squares, 2SLS）类分析结果）； 3. 附录C-E：稳健性检验、文本分析编码手册与验证输出结果； README文件包含生成代码、随机种子值与扩展说明的相关描述。 使用与限制说明：本数据集可用于复现论文中报告的所有描述性与推断性分析，适用于关注体育领域数字可持续发展、反弹效应、基础设施正义与漂绿现象的研究者。